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One stop shop VI: taxonomic update with molecular phylogeny for important phytopathogenic genera: 126–150

Abstract

Pathogenic fungi play pivotal roles in shaping the dynamics of agriculture, and ecosystems. As many fungi are pathogenic on plants and cause significant damage in agriculture and forestry, they pose significant threats to global food security. This is the 6th paper in onestopshop pathogenic genera series. This paper focuses on 25 phytopathogenic genera: Coleosporium, Dichotomophthora, Didymella, Leptosphaerulina, Macrophomina, Melampsora, Myrothecium, Neopseudocercosporella, Neopestalotiopsis, Neosetophoma, Nigrospora, Oculimacula, Phaeosphaeriopsis, Phakopsora, Pleiocarpon, Pseudopestalotiopsis, Pseudogymnoascus, Pyrenophora, Ramichloridium, Ravenelia, Seiridium, Stenocarpella, Tubakia, Zasmidium and Zymoseptoria. We provide background information, distribution, hosts and disease symptoms for each genus. A table of accepted species and an updated backbone tree is also provided for each entry. We introduce the new species Dichotomophthora conlutea and propose the new combinations Digitiseta chiangmaiensis and Myxospora thailandica.

126. Coleosporium - AK Gautam, S Avasthi, RK Verma, CS Bhunjun

127. Dichotomophthora - SC Karunarathna, DJ Soares, CS Bhunjun

128. Didymella - D Gomdola, CS Bhunjun

129. Leptosphaerulina - D Gomdola, CS Bhunjun, DJ Soares

130. Macrophomina - DJ Soares, CS Bhunjun, A Alghamdi

131. Melampsora - AK Gautam, S Avasthi, RK Verma

132. Myrothecium - CS Bhunjun, C Phukhamsakda

133. Neopseudocercosporella - N Gunasinghe, CS Bhunjun

134. Neopestalotiopsis - C Phukhamsakda, CS Bhunjun

135. Neosetophoma - CS Bhunjun, C Phukhamsakda, DJ Soares

136. Nigrospora - S Tibpromma, CS Bhunjun

137. Oculimacula - X Tang, RS Jayawardena

138. Phaeosphaeriopsis - SC Karunarathna, C Phukhamsakda, CS Bhunjun

139. Phakopsora - AK Gautam, S Avasthi, RK Verma, CS Bhunjun

140. Pleiocarpon - CS Bhunjun, C Phukhamsakda, DJ Soares

141. Pseudopestalotiopsis - C Phukhamsakda, CS Bhunjun

142. Pseudogymnoascus - C Phukhamsakda, CS Bhunjun

143. Pyrenophora - YR Sun, CS Bhunjun

144. Ramichloridium - YR Sun, RS Jayawardena, CS Bhunjun

145. Ravenelia - AK Gautam, S Avasthi, RK Verma, CS Bhunjun

146. Seiridium - C Phukhamsakda, CS Bhunjun, IF Halawani

147. Stenocarpella - X Tang, RS Jayawardena

148. Tubakia - C Phukhamsakda, CS Bhunjun

149. Zasmidium - DS Tennakoon, CS Bhunjun

150. Zymoseptoria - S Tibpromma, CS Bhunjun

Fungi are a diverse and heterogeneous group of organisms with an estimated 1.5 to 12 million species (Hawksworth 1991, Wu et al. 2019, Hyde et al. 2024b). There are over 150,000 described species that have been reported with different lifestyles including endophytic, saprotrophic and parasitism (Hyde et al. 2020, Bhunjun et al. 2022, Phukhamsakda et al. 2022, 2025). As pathogens, fungi have profound implications for human health, agriculture, and ecosystems (Hyde et al. 2018, 2019, Fisher et al. 2020). Pathogenic fungi contribute significantly to infectious diseases in humans, ranging from superficial skin infections to life-threatening systemic mycoses (Köhler et al. 2017). In agriculture, pathogens cause devastating diseases in crops, leading to substantial yield losses and threatening food security on a global scale (Fones et al. 2020). The study of pathogens provides a better understanding of the complex interplay between fungi and their hosts, shedding light on mechanisms of infection and virulence factors, thus providing potential avenues for disease management (Zeilinger et al. 2013). There has been a surge in the number of fungal diseases which may have resulted in die-offs and extinction of various wild species (Fisher et al. 2012, Fisher & Denning 2023). A number of these diseases were caused by recently described pathogens, but there has also been a rise in the risks posed by emerging pathogens as a result of climate change (Blehert et al. 2009, Casadevall 2019, Seidel et al. 2024).

This is the sixth paper in the “One Stop Shop series”. Previous contributions have been vital in providing a stable platform for the taxonomy of phytopathogenic fungi and fungus-like organisms (Hyde et al. 2014, Jayawardena et al. 2019a, b, 2020, 2025, Table 1). The series has provided clarification on the taxonomy and classification of 125 genera and three families. In this study, we focus on 25 phytopathogenic genera and discuss the background information, distribution, hosts and disease symptoms for each genus.

Isolates and Molecular analyses

The sequences of ex-type, ex-epitype or reference/voucher strains for all species were retrieved from GenBank. Polymerase chain reaction was used to amplify the partial gene regions of Dichotomophthora conlutea with primer pairs as described in Phukhamsakda et al. (2016) and sequenced by Shanghai Sangon Biological Engineering Technology & Services Co. (Shanghai, China). The large subunit ribosomal RNA (LSU) gene, internal transcribed spacer (ITS) region, the small subunit ribosomal RNA (SSU) gene, the translation elongation factor alpha (tef) gene, beta-tubulin (tub2), calmodulin (cal), actin (act), the glyceraldehyde-3-phosphate dehydrogenase (gapdh) gene, the cytochrome c oxidase (cox), histone H3 (his3), Minichromosome Maintenance Complex Component 7 gene (mcm7), the RNA polymerase II largest (rpb1) and second largest subunit (rpb2) genes were used in the phylogeny as per related bibliography. The sequences were aligned with MAFFT v. 7 (Katoh et al. 2019), with minimal adjustment using AliView v. 1.26 (Larsson 2014) and BioEdit v. 7.2.5 (Hall 1999). The concatenation of the multi-marker datasets was created by using Sequence Matrix v. 1.8 (Vaidya et al. 2011) and BioEdit v. 7.2.5. Phylogenetic analyses were performed using maximum likelihood, maximum parsimony and Bayesian inference posterior probabilities. Maximum likelihood analyses (ML) were performed on the CIPRES science gateway platform (Miller et al. 2017) using RAxML v. 8.2.12 (Stamatakis 2014). The general time reversible (GTR) model with a discrete gamma distribution plus invariant site (GTR + I + G) was used for nucleotide substitution. The best model for the different gene partitions was determined in JModelTest v. 2.1.10 or MrModeltest v. 2.3 for the Bayesian analysis (Nylander 2004, Darriba et al. 2012). Bayesian inference was conducted using MrBayes v. 3.2.7a on XSEDE (Ronquist and Huelsenbeck 2003).

Case studies

The genera are listed in alphabetical order and the classification follows Hyde et al. (2024b). For all the genera treated herein, we included species published until 30 May 2025 in the phylogenetic analyses (Index Fungorum 2025).

126. Coleosporium Lév., Annls Sci. Nat., Bot., sér. 3 8: 373 (1847)

Type species: Coleosporium campanulae (Pers.) Tul.

Classification: Pucciniomycetes, Pucciniales, Coleosporiaceae

Background: Coleosporium rusts are a group of plant pathogenic fungi belonging to Coleosporiaceae (Wijayawardene et al. 2022, Hyde et al. 2024a). Species of Coleosporium are obligate plant pathogens, similar to all rust fungi. The rust disease caused by these fungi is commonly known as Coleosporium rust, i.e., commonly referred to either by the genus or the host plant name, followed by the word “rust”. These fungi have been studied extensively as they cause diseases on ornamentals grown in gardens (McTaggart & Aime 2018).

Coleosporium was established by Léveille (1847) and comprises about 125 species worldwide (Kirk et al. 2008, Wijayawardene et al. 2020, 2022, Hyde et al. 2024a). These fungi have been documented from a significant number of telial hosts, but only one genus of aecial host, i.e., Pinus (Hedgcock 1928). About 12 species of Coleosporium infect Pinus densiflora as an aecial host (Hedgcock 1928). However, Coleosporium on pine trees have rarely been identified to the species level because of their morphological similarities (Suzuki et al. 2018). Scanning electron microscopy has been

Table 1 All entries treated in One stop shop (OSS) series.
OSS1 (Hyde et al. 2014)OSS2 (Jayawardena et al. 2019a)OSS3 (Jayawardena et al. 2019b)OSS4 (Jayawardena et al. 2020)OSS5 (Jayawardena et al. 2025)OSS6 (This study) 
BipolarisAlternariaAlternaria (update)ArmillariaAllophomaColeosporium 
BotryosphaeriaceaeBipolaris (update)CapnodiumBarriopsisAlternaria (update)Dichotomophthora
BotryosphaeriaBoeremiaChaetothyrinaCercosporaBipolaris (update)Didymella
BotrytisBotryosphaeria (update)CytosporaCladosporium (update)Boeremia (update)Leptosphaerulina
ChoanephoraCalonectriaCyphellophoraClinoconidiumCalonectria (update)Macrophomina (update)
ColletotrichumConiellaCyttariaColletotrichum (update)CalophomaMelampsora
CurvulariaCorticiaceaeDactylonectriaCylindricladiellaCampylocarponMyrothecium
DiaportheCurvularia (update)Diplodia (update)DothidotthiaClonostachysNeopseudocercosporella
DiplodiaElsinoëDothiorella (update)ErysiphaceaeCorynesporaNeopestalotiopsis (update)
DothiorellaEntylomaEntoleucaFomitopsisCryphonectriaNeosetophoma
FusariumErythriciumEutiarosporellaGanodermaDiaporthe (update)Nigrospora
GilbertellaFomitiporiaFusarium (update)GolovinomycesDiplocarponOculimacula
LasiodiplodiaFulviformesIlyonectriaHeterobasidiumEpicoccumPhaeosphaeriopsis
MucorLaetisariaLasiodiplodia (update)MeliolaEutiarosporella (update)Phakopsora
NeofusicoccumLimonomycesMacrophominaMucor (update)Ganoderma (update)Pleiocarpon
PestalotiopsisNeofabraeaMedeolariaNeoerysipheHypomycesPseudopestalotiopsis (update)
PhyllostictaNeofusicoccum (update)NeonectriaNothophomaLasiodiplodia (update)Pseudogymnoascus
PhytophthoraPhaeoacremoniumNeopestalotiopsisPhellinusMoniliniaPyrenophora (update)
PucciniaPhellinotusPestalotiopsis (update)Phytophthora (update)NeocordanaRamichloridium
PyrenophoraPhyllosticta (update)PlasmoparaPseudoseptoriaPhragmidiumRavenelia
PythiumPlenodomusPseudopestalotiopsisPythium (update)PileolariaSeiridium
RhizopusPseudopyriculariaRoselliniaRhizopus (update)PseudocercosporaStenocarpella
StagonosporopsisTilletiaSphaeropsisStemphyliumRhynchosporiumTubakia
UstilagoVenturiaStagonosporopsis (update)ThyrostromaScytalidiumZasmidium
VerticilliumWaiteaVerticillium (update)WojnowiciellaSphaeropsisZymoseptoria

used to describe these taxa based on surface sculptures of aeciospores and urediniospores along with different morphologies (Hiratsuka and Kaneko 1975). Two types of basidial development in Coleosporium were recognised by Kaneko (1981). In type 1, the entire cell becomes a basidium without change in length while in type two, the cell matures and a septum develops which separates the upper basidial part from the basal stalk-like part. Cummins (1978) and Kaneko (1981) described variations in the shape of the basidiospores. The genus has a wide geographic range, including almost every continent. The fungi primarily damage their telial hosts, which are often ornamentals, including aster, morning glories, and Plumeria. Plumeria rust caused by Coleosporium plumeriae is perhaps the most important example of a disease caused by the genus. DNA sequence data from the LSU and ITS regions available in GenBank for the species of Coleosporium were analysed by Gautam et al. (2021) who provided a taxonomic outline of Indian Pucciniales.

Distribution: Coleosporium spp. have been observed on almost every continent: North and South America, Asia, islands in the Pacific, Africa and Europe (McMillan 1984, Kolmer et al. 2009). These rust fungi have been reported from many countries including Argentina, Brazil, China, Cuba, Mexico, Georgia, France, India, Japan, Israel, Russia, Malta, Mongolia, Nepal, Philippines, São Tomé and Príncipe, Sierra Leone, Slovenia, Sri Lanka and the USA (Farr & Rossman 2025).

Disease symptoms: Coleosporium rust disease symptoms include chlorosis on leaves, dieback, leaf spotting and defoliation. The yellow-orange uredinia of these rust fungi often appear on the lower leaf surface with corresponding chlorotic spots on the upper surface (Fig. 1). Spermogonia are formed on the aecial host while aecia are formed on the lower surface. These rusts primarily damage their telial hosts, with infected leaves turning yellow to brown with premature leaf fall (Cummins & Hiratsuka 2003, Nelson 2009).

Hosts: species of Adenocaulon, Adenophora, Anemone, Aposeris, Aristolochia, Arnica, Arundina, Aster, Begonia, Brickellia, Cacalia, Calendula, Campanula, Campanumoea, Carpesium, Carphochaete, Choerospondias, Cirsium, Clematis, Clerodendrum, Codonopsis, Coleosanthus, Coleus, Convolvulus, Dahlia, Datisca, Erigeron, Erythrina, Eucommia, Euodia, Eupatorium, Exacum, Fauria, Heterotheca, Ipomoea, Knoxia, Labiatae, Lacinaria, Spigelia, Liabum, Ligularia, Lonicera, Lycopus, Madia, Microrhamnus, Myriactis, Myripnois, Orsina, Paederia, Pedicularis, Perezia, Perilla, Pertya, Phlomis, Phyllanthus, Pinus, Plumeria, Polymnia, Rubia, Salvia, Satyrium, Saussurea, Senecio, Serratula, Sicyos, Sida, Smilax, Stevia, Synurus, Thunbergia, Tylophora, Verbesina, Vernonia, Viburnum, Viola and Zanthoxylum (Farr & Rossman 2025).

Fig. 1. Coleosporium plumeriae on Plumeria sp. a-b Host plant with infected and healthy leaves. c-d Sori at various stages of infection. e-f Urediniospores. g Teliospores. Scale bars: 10 µm. This picture is copyright of Ajay Kumar Gautam, Shubhi Avasthi and Rajnish Kumar Verma.

Pathogen biology, disease cycle and epidemiology: Coleosporium comprises several species of rust fungi that are obligate biotrophic pathogens. These rust fungi possess a complex life cycle that typically alternates between pines and angiosperms, i.e., two hosts (heteroecious) and consisting of five spore types (macrocyclic), with spermogonia and aecia forming on needles of Pinus and uredinia and telia on both monocot and dicot plants (especially Asteraceae, but also on Campanulaceae, Orobanchaceae, Ranunculaceae) (Kirk et al. 2008). Coleosporium species can infect the same host repeatedly, or more than one host, in a single growing season. A single summer may allow up to 15 disease cycles. The disease cycle begins when basidiospores, produced from germinating teliospores, are wind-dispersed to infect the host plant (Harrington & Wingfield 2000). Upon landing on susceptible tissue, the basidiospores germinate and penetrate the plant's epidermis, initiating infection. The pathogen then forms uredinia, which produce urediniospores that facilitate the spread of the disease. The production of urediniospores continues throughout the summer showing the polycyclic nature of some species of Coleosporium (Chapell & Rausher 2016). In the late season, telia develop, producing teliospores that overwinter and serve as the primary inoculum for the next growing season. The epidemiology of Coleosporium is influenced by environmental factors such as humidity, temperature, and the presence of susceptible host plants (Chapell & Rausher 2016). Management strategies include removing infected plant material, applying fungicides, and planting resistant cultivars to reduce disease incidence and spread (McTaggart & Aime 2018).

Morphological-based identification: Coleosporium is characterised by 1-celled teliospores that are produced in a 1-layered crust under host epidermal cells (Cummins & Hiratsuka 2003). These taxa produce branched, septate mycelium and haustoria for absorption (Kolmer et al. 2009). They produce subepidermal, Group I (Type 2) spermogonia (Zhao et al. 2023). The colour of the spermogonia, the arrangement, size, and shape of the aecia, and the aecial host plant are three important morphological characteristics used to distinguish species of Coleosporium (Hedgcock 1928). Aecia are peridermium-type, subepidermal, erumpent with noticeable peridermium and found on the underside of leaves of the aecial host (abaxial). Aeciospores are catenulate, oblong to round in shape with verrucose spore walls. The aeciospores usually appear a month or two later than the spermogonia. These fungi produce subepidermal, erumpent, caeoma-type uredinia as bright orange pustules initially, fading to whitish later in the disease cycle. The uredinia develop catenuate, echinulate, reticulate, or verrucose urediniospores (with scattered or obscure pores) under the epidermis of the telial host plant. Telia produced by these fungi are often flat and dense, yellow or orange, wax-like, subepidermal, erumpent as low or columnar cushions and gelatinous when wet. Telia are composed of sessile, 1-celled spores, in 1-layered crusts, or pseudocatenuate by the intrusion of young spores among older spores, thick-walled, gelatinizing above teliospores. The teliospores germinate without dormancy and give rise to a phragmobasidium (a 4-celled internal basidium). Each cell of internal basidium produces a sterigma and one ellipsoidal to globoid basidiospore which infects the aecial host (Weir 1925, Hedgcock 1928, Arthur 1934, Cummins & Hiratsuka 2003).

Molecular-based identification: Maier et al. (2003) investigated LSU sequence data for 52 rust fungi of nine families including Coleosporium and showed that Coleosporium is monophyletic. Molecular data employing LSU sequence was used to characterize Coleosporium plectranthi on Perilla frutescens var. japonica (Yun et al. 2007). Holcomb & Aime (2010) explored Plumeria rust from Louisiana and Malaysia and identified the causal organism as C. plumeriae based on morpho-taxonomy. By using ITS and LSU sequences, phylogenetic analyses of Coleosporium on Solidago revealed the first molecular evidence of the North American rust C. solidaginis in Europe (Beenken et al. 2017). McTaggart & Aime (2018) carried out a study (ca. 60 collections) of Coleosporium infecting species of Asteraceae from North America. Based on phylogenetic analyses (ITS and LSU) and morphology of teliospores and basidia, McTaggart & Aime (2018) found that at least three species of Coleosporium occur on Solidago in North America rather than only one. Based on PCR-RFLP analyses, four species, C. asterum, C. clematidis-apiifoliae, C. lycopodis, and C. phellodendri were found to be associated with Pinus densiflora (Suzuki et al. 2018). Coleosporium zanthoxyli was identified on Zanthoxylum planispinum based on the host type, morphological characteristics, and phylogenetic analyses using ITS and LSU sequences (Shin et al. 2019). Both ITS and LSU are suitable loci for the identification of Coleosporium species. Aime & McTaggart (2020) resolved the deeper nodes of the rust fungus tree of life and provided an updated higher-rank classification for Pucciniales using LSU, SSU, and cox sequences from fresh and herbarium material of various species of rust fungi, including species of Coleosporium. This study provides an updated phylogeny of Coleosporium based on combined LSU and ITS sequence data (Fig. 2, Table 2).

Recommended genetic marker (genus level): ITS, LSU

Recommended genetic marker (species level): ITS, LSU

Accepted number of species: 125

References: Hiratsuka & Kaneko (1975), Cummins (1978), Kaneko (1981), Cummins & Hiratsuka (2003), Maier et al. (2003), Yun et al. (2007), Holcomb & Aime (2010), Beenken et al. (2017), Aime et al. (2018), McTaggart & Aime (2018), Suzuki et al. (2018), Shin et al. (2019), Aime & McTaggart (2020), Sun et al. (2024) (morphology and phylogeny)

127. Dichotomophthora Mehrl. & Fitzp. ex M.B. Ellis, Dematiaceous Hyphomycetes (Kew): 388 (1971)

Type species: Dichotomophthora portulacae Mehrl. & Fitzp. ex M.B. Ellis

Classification: Dothideomycetes, Pleosporales, Pleosporaceae

Background: Dichotomophthora was introduced by Mehrlich & Fitzpatrick (1935) to accommodate the hyphomycetous species D. portulacae, causing leaf spots on common purslane (Portulaca oleracea) in Hawaii. However, it was not validly published, and Rao (1966) attempted to validate it. Due to misapplications, this attempt was also unsuccessful, and the name was considered invalid until Ellis (1971) validly published it based on the holotype specimen of D. portulacae (Marin-Felix et al. 2019b). A second species D. lutea was introduced by De Hoog & van Oorschot (1983). The classification of Dichotomophthora in Pleosporaceae, Pleosporales was confirmed by Marin-Felix et al. (2019b) based on multi-gene phylogenetic analysis. Two further species D. basellae and D. brunnea were introduced, making a total of four accepted species in this genus (Marin-Felix et al. 2019b). Dichotomophthora species have been commonly reported as plant pathogens on various hosts (mostly P. oleracea), as saprobes and soil-inhabiting fungi and as a causative organism of human keratitis (Mehrlich & Fitzpatrick 1935, Ellis 1971, De Hoog & Oorschot 1983, Klisiewicz et al. 1983, Alfieri et al. 1984, Baudoin 1986, Pfeiffer et al. 1989, De Hoog et al. 2000, Eken 2003, Soares & Nechet 2017, Heidari et al. 2018, Marin-Felix et al. 2019b, Farr & Rossman 2025).

Distribution: worldwide (Farr & Rossman 2025)

Disease symptoms: Disease symptoms caused by Dichotomophthora typically manifest as dark, necrotic lesions (Fig. 3). The soil-inhabiting Dichotomophthora portulacae is known for causing rot, blight and dieback of the stems and leaf spots in Portulaca oleracea (Merhlich & Fitzpatrick 1935, Ellis 1971, Klisiewicz et al. 1983, Baudoin 1986, Mitchell 1986). The disease symptoms are characterised by necrotic, oval to irregular, pale brown spots with darker borders (Kliseiwicz 1985, Heidari et al. 2018, Abdulla 2021). Klisiewicz et al. (1983) observed that the stems of purslane plants, especially at the soil line, showed dark discolouration and constriction. The development of lesions was more frequently observed in parts of the stem that were in contact with the soil and the roots usually were infected by the same pathogen infecting the stems (Klisiewicz et al. 1983). Eken (2003) reported D. portulacae to cause crown and root rot of purslane. During experimental studies, symptoms of seed rot and post-emergence damping-off were observed within eight days, when all the seedlings died. In pathogenicity studies, sunken, necrotic lesions becameapparent on leaves and stems within 48 hours of inoculation. Later, the leaves turned yellow and dropped, while dark lesions developed on the stems causing dieback (Eken 2003). Dichotomophthora portulacae is more likely to cause the death of its host plants when infected at a young age (Kliseiwicz et al. 1983). Dichotomophthora lutea was reported producing brown to black lesions. The infection resulted in a

Table 2 DNA barcodes for accepted species of Coleosporium.
SpeciesStrainGenBank accession numbers
  ITSLSU
Coleosporium abrotanoidisHGUP21081OR470522OR462093
C. asterumMCA3077N/AMG907226
C. begoniaeBPI 910182KY764061KY764061
C. bletiaeBSC1MN108161MN108162
C. buchananianaeHGUP21053OR470523N/A
C. carpesiiZP-R1302MK518950MK518950
C. clematidisN99N/AKX386040
C. clematidis-apiifoliaeTSHR6521LC333796LC333796
C. campanulaeN/AN/AAF426244
C. dasyandraeHGUP21050OR470510OR462089
C. delicatulumBPI 871737MF769638MF769638
C. eupatoriiMCA 4470N/AMF769673
C. inulaeU717N/AMG907223
C. ipomoeaeR232N/AEU851160
C. juliiHGUP21048OR470508OR462087
C. lycopodisTSHR6560LC333800LC333800
C. neocacaliaeHMJAU8098N/AKX344990
C. phlomidisHMAS-76121KP017553KP017563
C. plectranthiCO14N/AEF095711
C. plumeriaeHMJAU8091N/AKX344991
C. puawhanangaPDD 101549N/AON622777
C. senecionisPDD 98309N/AKJ716348
C. septemberisHGUP21046OR470496OR462079
C. telioevodiaeBJFCQL16MG561474MG561474
C. tussilaginisN/AN/AAF426242
C. verbesinaeJRH151N/AMG907229

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A.

greyish dry rot and the gradual collapse of the tissue (Pfeiffer et al. 1989).

Hosts: Dichotomophthora portulacae was reported from Hawaii, USA on Portulaca oleracea (Mehrlich & Fitzpatrick 1935). Other hosts include Basella rubra, Nicotiana glauca, Portulaca grandiflora and P. lutea (Ellis 1971, Raabe et al. 1981, De Hoog & Oorschot 1983, Richardson 1990, Jing et al. 2008, Camino-Vilaro et al. 2019, Marin-Felix et al. 2019b, Farr & Rossman 2025). Dichotomophthora lutea has been isolated from Beta vulgaris (Minter et al. 2001), from soil, on seeds, stems, leaves and roots of Anredera cordifolia, Portulaca oleracea, Gymnocalycium mihanovichii var. friedrichii and Myrtillocactus geometrizans (De Hoog & Oorschot 1983, Miller 1990, Soares & Nechet 2017, Heidari et al. 2018, Camino-Vilaro et al. 2019, Marin-Felix et al. 2019b) in various regions, and from the seedbed of Pinus radiata in Italy (Heidari et al. 2018, Marin-Felix et al. 2019b). Dichotomophthora basellae was isolated from the leaves of Basella alba in Thailand (Marin-Felix et al. 2019b). The location and substrate of D. brunnea are unknown (Marin-Felix et al. 2019b).

Pathogen biology, disease cycle and epidemiology: Dichotomophthora portulacae is often reported as a major pathogen on purslane (Farr & Rossman 2025). It has been listed as an introduced plant pathogen in the United Kingdom (Jones & Baker 2007). According to Klisiewicz (1985), the fungus produces sclerotia and conidia on both artificial media and dead plant tissues. The sclerotia help the fungus to survive in the soil and act as an inoculum for basal stem infection (Klisiewicz 1985). The plant may become more prone to damage by insects or larvae following the stem infection by D. portulacae. Dichotomophthora portulacae prefers a temperature range of 27–33 °C and moist, humid conditions for growth and reproduction (in culture media). Thus, the fungus is less likely to infect plants where there is a lack of rain or moisture (Klisiewicz 1985). Once infected, the disease can develop regardless of the environmental conditions, leading to rapid death, especially in seedlings (Klisiewicz 1985, Mitchell 1986). Dichotomophthora portulacae can also infect carpetweed (Mollugo verticillata), but experimental results showed only mild symptoms (Mitchell 1986). In China, it was reported as an endophyte in Malabar spinach (Basella rubra) by Jing et al. (2008). The possibility of using D. portulacae as a biological control agent to control weeds, especially in areas with heavy rain and high humidity has been mentioned and investigated to an extent (Rader 1948, Klisiewicz et al. 1983, Klisiewicz 1985, Baudoin 1986, Vink & Elsas 2017). Alves et al. (2020) isolated Dichotomophthora as an endophyte from Jatropha curcas and two strains showed promising antioxidant activities. Further studies focusing on possible bioactive compounds of Dichotomophthora will lead to a better understanding of this genus.

Morphological-based identification: Dichotomophthora species are characterised by their macronematous, mononematous, dichotomously branched, irregularly orunbranched conidiophores, and simple, ellipsoidal to

Fig. 2. Maximum likelihood tree of Coleosporium species based on the concatenated LSU and ITS sequence data. The best scoring RAxML tree had a final likelihood value of -5967.127022. The tree was rooted to Chrysomyxa zhuoniensis (BJFC R00521). Estimated base frequencies were as follows: A = 0.308609, C = 0.152661, G =0.226954, and T = 0.311777; substitution rates AC = 1.138546, AG = 3.032190, AT = 3.398998, CG = 0.509751, CT = 6.693790, and GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.

cylindrical, subhyaline, pale brown to dark brown conidia with 1–5 septa. The sexual morph is not known (Ellis 1971, Marin-Felix 2019b). The colonies of both D. basellae and D. lutea produce luteous, orange, diffusible pigments in culture (Marin-Felix et al. 2019b). Several reports of Dichotomophthora have remained uncertain due to fungal or host misidentifications, such as D. portulacae being confused with D. lutea in previous studies (De Hoog & van Oorschot 1983, Soares & Nechet 2017, Vink & Elsas 2017, Marin-Felix et al. 2019b). Therefore, more collections are needed to investigate their diversity.

Molecular-based identification: Heidari et al. (2018) used a combination of ITS and rpb2 sequence data to identify pathogenic strains of D. lutea from Iran. Marin-Felix et al. (2019b) included various strains of Dichotomophthora isolated from different hosts and regions using ITS, LSU, gapdh and rpb2 molecular data. As a result, four Dichotomophthora species (including two new species) were confirmed. In our phylogenetic analysis (Fig. 4), we included two isolates of Dichotomophthora (CMAA 1612 and CMAA 1613) from Anredera cordifolia (Soares & Nechet 2017). Their identification could not be confirmed in Soares and Nechet (2017) as the isolates (CMAA 1612 and CMAA 1613) only had ITS region. In this study, we provide additional sequence data for the isolate CMAA 1612 and we provide an updated phylogeny of Dichotomophthora based on combined ITS, LSU, gapdh and rpb2 sequence data (Fig. 4, Table 3). We also propose the new species Dichotomophthora conlutea (Fig. 3 and 4). Dichotomophthora cactacearum is excluded from our analysis as there are no description or molecular data for the species.

Table 3 GenBank accession numbers of Dichotomophthora species used for phylogenetic analysis.
SpeciesStrainGenBank accession numbers
  ITSLSUgapdhrpb2
Dichotomophthora basellaeCPC 33016LT990654LT990626LT990670LT990640
D. brunneaCBS 149.94LT990653N/ALT990669LT990639
D. conlutea#CMAA 1612MF196163PX242776N/APX251631
D. conluteaCMAA 1613MF196162N/AN/AN/A
D. lutea#CBS 145.57LT990647NG_069497LT990663LT990634
D. luteaCBS 584.71LT990648LT990620LT990664LT990635
D. luteaCBS 585.71LT990649LT990621LT990665LT990636
D. luteaCBS 518.78LT990650LT990622LT990666N/A
D. luteaCBS 132.81LT990651LT990623LT990667LT990637
D. portulacae#CBS 174.35LT990652MH867137LT990668LT990638

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A. Species confirmed with pathogenicity studies are marked with #.

Dichotomophthora conlutea D.J. Soares & Bhunjun, sp. nov.

Index Fungorum number: IF905057; Facesoffungi number: FoF 19465; Fig. 3

Etymology: Named based on its close affinity to Dichotomophthora lutea.

Conidiophores erect, simple or irregularly branched, sometimes verruculose near the apex, forming a stipe and head; stipe up to 900 μm long, 9–12 μm wide, pale brown to brown, smooth; head usually divided 3 to 4 times, frequently proliferating to produce additional head. Conidiogenous cells polytretic, integrated and terminal. Conidia 24–94 × 10–17 μm, solitary, smooth to finely verruculose, 1–6-septate, ellipsoidal to cylindrical, sometimes slightly curved, with rounded ends, initially subhyaline, becoming brown to reddish-brown. Sclerotia resembling immature perithecia, immersed in agar, abundant on potato dextrose agar and oatmeal agar, sporadic and scattered on malt extract agar. Sexual morph: unknown.

Culture characteristics: Colonies on PDA, MEA and OA reaching 50–60 mm after 1 week at 25 °C under ultraviolet light (12 h light, 12 h dark), white to grey (PDA and MEA) or dark grey to olivaceous (OA), cottony, velvety, somewhat fluffy, margin regular, effuse; reverse brown or dark-grey to black, periphery white to hazel. Diffusible pigment not observed under the culture conditions and media tested.

Material examined: Brazil, Jaguariúna, São Paulo, on symptomatic leaves of Anredera cordifolia, 16 January 2016, DJ Soares, DJS_771 (UB24608, holotype); ex-type CMAA 1612 = CMAA 1613.

Notes: The isolates (CMAA 1612 and CMAA1613) were described based on morphology and ITS sequences (Soares & Nechet 2017). The isolates were not assigned to a specific epithet as they lacked multi-locus data. In the analyses of combined ITS, LSU, gapdh and rpb2 sequence data, Dichotomophthora conlutea (CMAA 1612 and CMAA 1613) formed a sister clade to D. lutea isolates (Fig. 4). Dichotomophthora conlutea morphologically resemble D. lutea, however, D. conlutea differs by having conidiogenous head that are usually divided 3 to 4 times and frequently proliferating to produce additional heads (De Hoog et al. 1983, Soares & Nechet 2017). The conidia of D. conlutea are 1–6-septate while D. lutea have 0–4-septate conidia (De Hoog et al. 1983, Marin-Felix et al. 2019b). The two species also differ in the size of their conidia (24–94 × 10–17 μm vs 14–65.5 × 7.5–13 μm in D. lutea) (De Hoog et al. 1983, Soares & Nechet 2017, Marin-Felix et al. 2019b). Therefore, we introduce Dichotomophthora conlutea as a new species.

Recommended genetic markers (genus level): ITS

Recommended genetic markers (species level): ITS, LSU, gapdh and rpb2

Accepted number of species: five

References: Mehrlich & Fitzpatrick (1935), Routien (1957), Rao (1966), Ellis (1971), De Hoog & van Oorschot (1983) (morphology); Marin-Felix et al. (2019b) (phylogeny); Klisiewicz et al. (1983), Klisiewicz (1985), Baudoin (1986),

Fig. 3. Symptoms of Dichotomophthora conlutea on Anredera cordifolia (UB24608, holotype). a Initial symptoms. b Coalescent lesions with leaf yellowing. c Earlier senesced leaves under highly humid conditions showing profuse fungal sporulation. d-e Conidiophores apices showing conidiogenous heads. f-k Conidia. Scale bars: d = 50 μm, e, f, g, h, i, j, k = 10 μm. This picture is copyright of Dartanha Jose Soares.
Fig. 4. Maximum likelihood tree of Dichotomophthora species based on the concatenated ITS, LSU, gapdh and rpb2 sequence data. The best scoring RAxML tree had a final likelihood value of -6277.820. The tree was rooted to Curvularia buchloes (CBS 246.49) and C. subpapendorfii (CBS 656.74). Estimated base frequencies were as follows: A = A: 0.250, C = A: 0.250, G = A: 0.250, T = A: 0.250; substitution rates AC = 1.00000, AG = 1.90836, AT = 1.00000, CG = 1.00000, CT = 4.98741, GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Type strains are in bold. The new species is in blue. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.

Mitchell (1986), Pfeiffer et al. (1989), Eken (2003), Soares & Nechet (2017) (pathogenicity)

128. Didymella Sacc., Michelia 2(6): 57 (1880)

Type species: Didymella exigua (Niessl) Sacc.

Classification: Dothideomycetes, Pleosporales, Didymellaceae

Background: Didymella was initially accommodated in Mycosphaerellaceae and later placed in Pleosporaceae, Phaeosphaeriaceae and Venturiaceae. Eventually, Didymellaceae was introduced to accommodate Didymella (De Gruyter et al. 2009). Didymella exigua has been accepted as the type or lectotype species of the genus by several authors (Höhnel 1918, Holm 1975, Corlett 1981). Didymella is a species-rich genus with a myriad of phytopathogens (Chen et al. 2015, 2017). As Didymella appears to be polyphyletic, its taxonomic revision and species delineation might be challenging as several species remain phylogenetically unresolved (Aveskamp et al. 2010, Chen et al. 2015).

Distribution: worldwide (Farr & Rossman 2025)

Disease symptoms: Didymella generally causes foliar diseases such as necrotic and tan leaf spots, and leaf blights, bracken blight disease, gummy stem blights, and black rot of fruits (Fig. 5). Didymella species cause dark sunken necrotic spots of table beets in New York (Vaghefi et al. 2016). Furthermore, a serious foliar disease was reported from baby lima bean fields in New York, initially exhibiting small necrotic spots that later coalesced and covered the entire leaf area (Gorny et al. 2016). Didymella glomerata was found to cause Didymella leaf blight on maize in China (Ma et al. 2022). The infected leaves displayed oval to oblong, grey sunken lesions, scattered over leaf surfaces. However, the stalks and other parts of the plant remained unaffected (Ma et al. 2022).

In addition to foliar diseases, Didymella taxa cause gummy stem blight of economically important plants including certain cucurbit crops. Didymella blight initially presents as small, irregularly circular, water-soaked spots. These early lesions may appear as a fading of the fruit color before darkening to shades of gray, brown, or eventually black. As the disease progresses, these spots rapidly enlarge, becoming sunken, often acquiring a firm, leathery texture (Kehinde et al. 2013). Gummy stem blight caused by Di. bryoniae has been reported in many countries including China, Tanzania and the United States (Mao et al. 2020). Furthermore, Di. lycopersici is an opportunistic pathogen that causes cankerous symptoms on tomato stems (Blancard 2012).

Hosts: Didymella taxa have been reported from a wide range of hosts including Acacia in Australia, Araucaria in Italy, Berberis in Netherlands, Camellia in China, Castanea in New Jersey, Citrus in Paraguay, Cucurbita in Italy, Eucalyptus in Australia, Fucus and Mangifera in Brazil, Olea in Iran, Pandanus in Philippines, Prunus and Rosa in Pakistan, Rubus in Australia, Canada and Pakistan, Vitis in Germany, and Zea in China, among many other hosts (Farr & Rossman 2025).

Pathogen biology, disease cycle and epidemiology: The disease cycle typically starts with the survival of Didymella in infected plant debris, seeds, or soil, from which it produces spores that are dispersed by wind or rain splash (Keinath 2008). Upon landing on a susceptible host, the spores germinate and infect through wounds or natural openings, leading to disease symptoms (Babadoost & Zitter 2009, Deb et al. 2020). Under favourable conditions, Didymella rapidly develops and sporulates, leading to secondary infections. Several species release their ascospores by an eruptive mechanism. This increases the chance for spores to spread and propagate over long distances. The bitunicate ascus comprises a sensitive inner and rigid outer wall resulting in an explosion of the latter under wet conditions, which causes the release of the ascospores (Ingold 1971, Sadyś & West 2017).

Morphological-based identification: Didymella taxa have ostiolate or poroid conidiomata that are pycnidial and sub-globose. The conidiogenous cells are generally phialidic, hyaline and ampulliform. The conidia usually display diverse shapes being ellipsoidal to subglobose, oblong to ovoid, or cylindrical. Generally, the conidia are hyaline and aseptate, and become pigmented when mature. The ascomata are mostly pseudothecial, globose to sub-globose and ostiolate. The bitunicate asci are cylindrical, clavate or saccate, usually containing 8 spores. The ascospores are hyaline or brown and can be ellipsoidal to cymbiform, and uni- or multi-septate (Gruyter et al. 2009, Aveskamp et al. 2010, Zhang et al. 2012b, Chen et al. 2015).

Fig. 5. Didymella sp. a Disease symptom of D. gei on Geum sp. b Disease symptom of D. qilianensis on Rheum officinale. c Ascus. d-e Ascospores. f Chlamydospores. Scale bars: c-e = 10 µm, f = 5 µm. This picture is copyright of Qian Chen (Chen et al. 2015, 2022).

Molecular-based identification: Studies focusing on the revision of Didymellaceae were based on multi-gene phylogenetic analyses of the concatenated ITS, LSU, tub2, and rpb2 sequences (Gruyter et al. 2009, Aveskamp et al. 2010, Chen et al. 2015, Jayasiri et al. 2017, Phukhamsakda et al. 2020). We constructed our phylogenetic tree in accordance with previous studies. Phylogenetic analysis based on the ITS, LSU and tub2 sequences does not completely resolve the taxonomic placement of certain taxa in Didymellaceae. This explains the rationale for including rpb2 in subsequent phylogenetic analyses (Aveskamp et al. 2010, Chen et al. 2015). This study provides an updated phylogeny of Didymella based on combined ITS, LSU, rpb2 and tub2 sequence data (Fig. 6, Table 4).

Recommended genetic markers (genus level): LSU

Recommended genetic markers (species level): ITS, LSU, rpb2 and tub2

Accepted number of species: 99

References: Widmer et al. (2002), Ozkilinc et al. (2011), Woudenberg et al. (2012), Khan et al. (2013), Gorny et al. (2016), Pearce et al. (2016), Havenga et al. (2019), Lee et al. (2019), Owati et al. (2019), Ren et al. (2019), Armstrong-Cho et al. (2020), Guo et al. (2020), Scarpari et al. (2020), Jiang et al. (2021), Šišić et al. (2021), Wang et al. (2021), Indermaur et al. (2022), Ma et al. (2022) (pathogenicity data)

129. Leptosphaerulina McAlpine, Fungus Diseases of stone-fruit trees in Australia: 103 (1902)

Type species: Leptosphaerulina australis McAlpine

Classification: Dothideomycetes, Pleosporales, Didymellaceae

Background: Leptosphaerulina was established by McAlpine (1902) with L. australis as the type species, which was isolated from the leaves of Prunus armeniaca (apricot). Initially, Leptosphaerulina was accommodated in Pseudosphaeriaceae based on morphological features (Luttrell 1955, Graham & Luttrell 1961, Barr 1982). Later, it was placed in Pleosporaceae (Eriksson 1993, 2006, Kirk et al. 2001). Eventually, its placement was confirmed in Didymellaceae based on molecular data (Aveskamp et al. 2010, Zhang et al. 2012b, Hyde et al. 2013, Hongsanan et al. 2020a, b). Didymellaceae is a species-rich family in Pleosporales that includes taxa from a wide range of hosts from different ecosystems (Chen et al. 2017, Thambugala et al. 2018).

Distribution: Leptosphaerulina taxa have cosmopolitan distributions and have been recorded from both temperate and tropical countries, including Canada, China, Colombia, Georgia, India, Indonesia, Japan, Kenya, the Netherlands, 2013, Chen et al. 2017, Farr & Rossman 2025).

Fig. 6. Maximum likelihood tree of Didymella species based on the concatenated ITS, LSU, rpb2 and tub2 sequence data. The best scoring RAxML tree had a final likelihood value of -16957.247. The tree was rooted with Epicoccum camelliae (CGMCC 3.18343) and E. latusicollum (CGMCC 3.18346). Estimated base frequencies were as follows: A = 0.250, C = 0.250, G = 0.250, T = 0.250; substitution rates AC = 1.45908, AG = 6.33861, AT = 1.45908, CG = 1.00000, CT = 11.74000, GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Type strains are in bold. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.
Table 4 DNA barcodes for accepted species of Didymella.
SpeciesStrainGenBank accession numbers
  ITSLSUrpb2tub2
Didymella acetosellae#CBS 179.97GU237793GU238034KP330415GU237575
Di. adonidisCBS 114309MH862963MH874526MT018057KT389803
Di. aeriaCGMCC 3.18353KY742051KY742205KY742137KY742293
Di. alectorolophiCBS 132.96GU237778GU237989N/AGU237550
Di. alienaCBS 379.93GU237851GU238037KP330416GU237578
Di. aloeicolaCBS 562.88MN973535MN943742MT018164MT005638
Di. americana#CBS 185.85FJ426972GU237990KT389594FJ427088
Di. anserinaCBS 285.29KT389499KT389716N/AKT389796
Di. aquaticaCGMCC 3.18349KY742055KY742209KY742140KY742297
Di. arachidicolaCBS 333.75GU237833GU237996KT389598GU237554
Di. aureaCBS 269.93GU237818GU237999KT389599GU237557
Di. azollaeIRAN 3058CMT514913MT514910N/AMT512516
Di. bellidis#CBS 714.85GU237904GU238046KP330417GU237586
Di. bischofiaeHJAUP C1776OR625712OR625713OR620208OR620206
Di. brevipilosaFMR 17415OU612373N/AOU612359OU612358
Di. brunneosporaCBS 115.58KT389505KT389723KT389625KT389802
Di. camporesiiJZB380040MN648211MN640406N/AN/A
Di. cari#CPC 33112MH327825MH327861N/AMH327899
Di. castaneae#CFCC 54343MW364357MW364277N/AN/A
Di. chenopodiiCBS 128.93GU237775GU238055KT389602GU237591
Di. chlamydosporaYW23-14MK836111MK836109LC480708LC482279
Di. chloroguttulataCGMCC 3.18351KY742057KY742211KY742142KY742299
Di. chromolaenaeMFLUCC 17-1459MT214363MT214457N/AN/A
Di. clematidis#ICMP 13664KT309873KT309678N/AKT309460
Di. clerodendriHJAUP C1698OR625709OR625714OR620207OR611942
Di. coffeae-arabicae#CBS 123380FJ426993GU238005KT389603FJ427104
Di. combretiCBS 137982MN973525MN943731MT018139MT005626
Di. corylicola#CBS 146357MN954301MN954290MN958323MN958333
Di. cucurbitacearumIMI 373225AY293804AY293792N/AN/A
Di. curtisiiCBS 251.92FJ427038GU238013N/AFJ427148
Di. cylindricaIRAN 3051COK257014OK257022OK247736OK247741
Di. dactylidisCBS 124513GU237766GU238061N/AGU237599
Di. degraaffiaeJW 195004MN823444MN823295MN824470MN824618
Di. dimorphaCBS 346.82GU237835GU238068N/AGU237606
Di. ellipsoideaCGMCC 3.18350KY742060KY742214KY742145KY742302
Di. exigua#CBS 183.55GU237794EU754155EU874850GU237525
Di. fabae#ATCC 96418DQ383952N/AEU874859N/A
Di. finnmarkicaCBS 145572MK876388MK876429MK876484N/A
Di. gardeniaeCBS 626.68FJ427003GQ387595KT389606FJ427114
Di. geiCGMCC 3.20068MT229698MT229675MT239095MT249266
Di. giganteaUFMGCB9864KU727758N/AN/AN/A
Di. glomerata#CBS 528.66FJ427013EU754184GU371781FJ427124
Di. guttulataCBS 127976MN973524MN943730MT018138MT005625
Di. helleboriCBS 114303MH862961MH874524N/AN/A
Di. heteroderaeCBS 109.92FJ426983GU238002KT389601FJ427098
Di. ilicicolaCGMCC 3.18355KY742065KY742219KY742150KY742307
Di. ilseaeBRIP 54066aPV425967N/APV459752N/A
Di. indicaCBS 653.77MN973534MN943741MT018159MT005637
Di. infuscatisporaCGMCC 3.18356KY742067KY742221KY742152KY742309
Di. keratinophilaCBS 143032LT592901LN907343LT593039LT592970
Di. kooimaniorumJW 27006MN823448MN823299MN824474MN824622
Di. lentisAL1DQ383953N/AN/AN/A
Di. ligulariaeCGMCC 3.20070MT229699MT229676MT239096MT249267
Di. longicollaCBS 124514GU237767GU238095N/AGU237622
Di. macrophyllaCGMCC 3.18357KY742070KY742224KY742154KY742312
Di. macropodiiXM25MZ292418MZ298910N/AN/A
Di. macrostomaCBS 482.95GU237869GU238099KT389609GU237626
Di. magnoliaeC465MK347814MK348033MK434852N/A
Di. maydisCBS 588.69FJ427086EU754192GU371782FJ427190
Di. microchlamydosporaCBS 105.95FJ427028GU238104KP330424FJ427138
Di. mollerianaCBS 229.79GU237802GU238067KP330418GU237605
Di. musaeCBS 463.69FJ427026GU238011LT623248FJ427136
Di. mitisCBS 443.72MN973523MN943729MT018137MT005624
Di. naikiiNFCCI 5104OM952211OM830704N/AOM858681
Di. negrianaCBS 358.71GU237838GU238116KT389610GU237635
Di. nigricansCBS 444.81GU237867GU238000N/AGU237558
Di. ocimicolaCGMCC 3.18358KY742078KY742232N/AKY742320
D. pedeiaeCBS 124517GU237770GU238127KT389612GU237642
Di. pinodella#CBS 318.90FJ427051GU238016N/AFJ427161
Di. pinodes#CBS 525.77GU237883GU238023KT389614GU237572
Di. pisi#CBS 122785GU237763GU237969MT018244GU237532
Di. pittosporiHJAUP C1740OR625710OR625711N/AOR620205
Di. poaceicolaMFLUCC 13-0212KX965726KX954395KX898364N/A
Di. pomorum#CBS 388.80FJ427055GU238027KT389617FJ427165
Di. prosopidisCBS 136414NR_137836NG_069183MT018149MT005631
Di. protuberansCBS 381.96GU237853GU238029KT389620GU237574
Di. pteridisCBS 379.96KT389504KT389722KT389624KT389801
Di. purpureaMBD 2809MK595528N/AN/AN/A
Di. qilianensisCGMCC 3.20071MT229701MT229678MT239098MT249269
Di. rhei#CBS 109177GU237743GU238139KP330428GU237653
Di. rosea#BRIP 50788KT338640KT287003N/AKT286945
Di. rumicicola#CBS 683.79KT389503KT389721KT389622KT389800
Di. sachalinensisCJL 2014KJ542242N/AN/AN/A
Di. sanctaCBS 281.83FJ427063GU238030KT389623FJ427170
Di. segeticola#CGMCC 3.17489KP330443KP330455KP330414KP330399
Di. senecionicolaCBS 160.78GU237787GU238143N/AGU237657
Di. sinensisLC 8142KY742087KY742241KY742166KY742329
Di. subglobisporaCBS 364.91MN973531MN943737MT018153MT005634
Di. subherbarumCBS 250.92GU237809GU238145N/AGU237659
Di. subroseaCBS 733.79MN973540MN943747MT018174MT005643
Di. suiyangensisCGMCC 3.18352KY742089KY742243KY742168KY742331
Di. tabebuiicolaLM1189MZ703618MZ703623MZ712360MZ712364
Di. tanaceti#BRIP 50785KT338641KT287022N/AKT286974
Di. uniseptataCGMCC 3.20069MT229702MT229679MT239099MT249270
Di. variabilisCBS 254.79MN973544MN943751MT018182MT005647
Di. viburnicolaCBS 523.73GU237879GU238155KP330430GU237667
Di. vitalbina#ICMP 13663KT309872KT309677N/AKT309459
Di. yenwuaeBRIP 15859aPQ279215N/APQ299736PQ299737
Di. yunnanensis#CGMCC 3.24241OP647939OP836939OP854286OP854551

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A. Species confirmed with pathogenicity studies are marked with #.

Disease symptoms: Major diseases caused by Leptosphaerulina species are leaf spots and blights, as well as scorch spots (Fig. 7). Leaf blight caused by Leptosphaerulina spp. is common in humid and damp regions, primarily on grasses such as Agrostis stolonifera (creeping bentgrass), Poa pratensis (Kentucky bluegrass), and Lolium perenne (perennial ryegrass) (Shurtleff et al. 1987, Smiley et al. 1992). The symptoms displayed during the course of leaf blight disease formation are tip dieback often with yellow to brown lesions extending down to the leaf sheaths. Sometimes, the entire leaf or sheath may develop water-soaked spots and quickly become chlorotic (Couch 1962, Smiley et al. 1992).

Hosts: Leptosphaerulina taxa have been reported worldwide from a wide range of hosts. These include Acacia mearnsii in South Africa, Arachis hypogaea in China, Boerhaavia difusa in India, Brassica spp. in China, Cannabis sativa in India, Crotalaria striata in India, Euphorbia geniculata in India, Ficus retusa in India, Medicago laciniata in Kenya, Morus sp. in Japan, Oryza sativa in India, Terminalia bellerica in India, Trifolium pretense in Georgia, and Zea mays in Malaysia, among several others (Farr & Rossman 2025).

Pathogen biology, disease cycle and epidemiology: Leptosphaerulina species cause leaf spots and scorch diseases of leguminous plants, including alfalfa, peanut, red and white clover, and soybean (Graham & Luttrell 1961, Anahosur & Fazalnoor 1972). The ascospores of Leptosphaerulina are easily dispersed via wind (Graham & Luttrell 1961). The mucilaginous sheath allows them to adhere to leaf surfaces and adsorb water (Tehon & Stout 1928, Furtado & Olive 1971). Following adherence, germ tubes are formed, after which a penetration peg enters the cuticle and epidermal cell walls (Hopskins 1923, Miles 1925, Sundheim & Wilcoxson 1965, Wu & Hanlin 1992). The germ tubes can also enter plant tissues via stomata; however, this process is rather infrequent (Wu & Hanlin 1992).

Morphological-based identification: Leptosphaerulina species have ostiolate, papillate and immersed to erumpent ascomata. The asci are bitunicate and saccate while

Fig. 7. Leptosphaerulina crassiasca on Arachis hypogaea. a Adaxial and abaxial b views of the wedge-shaped scorch symptom. c A typical leaf scorch. d Transverse section of perithecium with asci. e Ostiolum. f Immature ascus. g Mature 8-spored ascus and ascospore with longitudinal and transverse septa (indicated with arrow). Scale bars = 25 µm. This picture is copyright of Dartanha Jose Soares.

ascospores are oblong to cylindrical, usually muriform and hyaline, becoming brown when mature (Graham & Luttrell 1961, Abler et al. 2003, Zhang et al. 2012b, Phookamsak et al. 2013). Some phylogenetically distinct Leptosphaerulina taxa are cryptic (Phookamsak et al. 2013).

Molecular-based identification: Multi-locus phylogenetic analyses of ITS, LSU, tub2 and rpb2 sequences are recommended for species delineation in Leptosphaerulina (Chen et al. 2015, Valenzuela-Lopez et al. 2018, Hou et al. 2020). The ITS and LSU markers alone do not provide sufficient phylogenetic resolution (Liang et al. 2021). Phylogenetic analyses of rpb2 sequences only can yield a phylogenetic tree with a similar topology as that of the concatenated dataset (ITS, LSU, tub2, rpb2 and tef) (Liang et al. 2021). Therefore, rpb2 is the best DNA marker for species delimitation in Leptosphaerulina (Liang et al. 2021), however, several species lack rpb2 sequences. Leptosphaerulina crassiasca (XWS02F460) was excluded from the molecular analyses as only the ITS region is available for this taxon. This study provides an updated phylogeny of Leptosphaerulina based on combined ITS, LSU, rpb2, tub2 and tef sequence data (Fig. 8, Table 5).

Recommended genetic markers (genus level): LSU

Recommended genetic markers (species level): ITS, LSU, rpb2, tub2, and tef

Accepted number of species: 18

References: Liu et al. (2019), Victoria et al. (2020), Zhang & Li (2021), Sheng et al. (2022) (species with pathogenicity data)

130. Macrophomina Petr., Annls Mycol. 21(3/4): 314 (1923)

Type species: Macrophomina phaseolina (Tassi) Goid.

Classification: Dothideomycetes, Botryosphaeriales, Botryosphaeriaceae

Background: Macrophomina was introduced by Petrak (1923) with M. philippinensis as the type species. However, the correct name for the type species was followed by a lot of confusion, especially with M. phaseoli and M. phaseolina being used interchangeably during the first half of the 20th century. It was only in the late 1970s that M. phaseolina was widely recognized as the correct name and M. philippinensis was synonymised with M. phaseolina (Ashby 1927, Holliday & Punithalingam 1970, Babu et al. 2010). Macrophomina was widely accepted as a monotypic genus, despite several attempts to propose distinct sub-specific ranks based mainly on host-specificity (Phillips et al. 2013, Sarr et al. 2014).

Fig. 8. Maximum likelihood tree of Leptosphaerulina species based on the concatenated ITS, LSU, rpb2, tub2 and tef sequence data. The best scoring RAxML tree had a final likelihood value of -9591.838. The tree was rooted with Epicoccum plurivorum (CBS 558.81). Estimated base frequencies were as follows: A = A: 0.250, C = A: 0.250, G = A: 0.250, T = A: 0.250; substitution rates AC = 1.00000, AG = 3.47926, AT = 1.00000, CG = 1.00000, CT = 9.30598, GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Type strains are in bold. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.
Table 5 DNA barcodes for accepted species of Leptosphaerulina.
SpeciesStrainGenBank accession numbers
  ITSLSUrpb2tub2tef
Leptosphaerulina albulaeCBS 464.84MH861767MH873466N/AN/AN/A
L. americanaCBS 213.55MH857452MH868995KT389641GU237539N/A
L. arachidicola#CBS 275.59MH857863MH869401MT018278GU237543N/A
L. argentinensisCBS 569.94MH862490MH874133GU357759N/AGU349008
L. australis#CBS 311.51N/AN/AGU456357N/AGU456272
L. conyzicolaEG79N/AKJ194472N/AN/AN/A
L. longifloriMFLUCC 19-0148MK503800MK503811MK503805N/AN/A
L. macrosporaCGMCC3 19693MW090232MW090672MW092122MW092141N/A
L. miscanthiCGMCC 3.20073MT229706MT229683MT239103MT249274N/A
L. nitidaCBS 450.84MH861755MH873454N/AN/AN/A
L. obtusisporaCBS 569.94MN973602MN943811MT018275MT005712N/A
L. oryzaeCBS 110110MH862850MH874442KF252193KF252680N/A
L. pulchraCBS 113685MH862938MH874505N/AN/AN/A
L. queenslandicaBRIP 65632MW481667MW481664MW626889N/AN/A
L. rupestrisCBS 451.84MH861756MH873455N/AN/AN/A
L. saccharicolaICMP 19875KF670717KF670716KF670714N/AKF670715
L. sisyrinchiicolaCBS 121688MN973605MN943814MT018279MT005715N/A
L. trifolii#CBS 533.66N/AMN943804MT018266MT005704N/A

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A. Species confirmed with pathogenicity studies are marked with #.

Macrophomina is a diverse, soil- or seed-borne plant pathogen occurring worldwide. Macrophomina species commonly cause diseases such as stem and root rot, charcoal rot, seedling blight and stem blight (Agarwal 2010, Ndiaye et al. 2015, Marquez et al. 2021). Macrophomina has been reported on approximately 600 cultivated and wild plant species, belonging to over 100 families in more than 80 countries (Khan 2007, Agarwal 2010, Ndiaye et al. 2015, Zhao et al. 2019, Farr & Rossman 2025).

Distribution: worldwide, but mostly in tropical, subtropical and warm-temperate areas (Cohen et al. 2022a, Farr & Rossman 2025)

Disease symptoms: Macrophomina species generally cause charcoal-rot or ashy stem blight in various host species (Fig. 9). Macrophomina symptoms may vary depending on host and weather conditions. The main disease symptoms are dry or wet dark rot of the root and lower stem (Agarwal 2010, Poudel et al. 2021). Roots and soft-tissue plants, such as melon and strawberry, exhibit early tissue rot due to cell-wall-degrading enzymes, whereas plants with lignified stems, such as cotton, sesame, soybean, and castor bean, usually start exhibiting yellowing and wilt symptoms without visible external stem rot, due to the disruption of water and nutrient flow to aerial parts. Lower stem and taproot cortical tissue become slough. Under heat or drought stress, the symptoms are exacerbated usually inducing premature death of branches or of the whole plant. Symptoms occasionally remain mild until plants start flowering or fruiting, when, under favourable conditions, the plant can quickly die (Dhingra & Sinclair 1978, Cohen et al. 2022b). Macrophomina exhibits a strong capacity for rapid colonization of host tissues, eventually leading to their death in a short timeframe. During colonization, it forms microsclerotia and pycnidia on hosts (Dhingra & Sinclair 1978, Khan 2007, Su et al. 2021). On seedling stage, wet root rot followed by damping-off predominates. Aboveground symptoms on adult plants usually appear as foliar yellowing and wilt of either some branches or the entire plant. Eventually symptoms progress to light-brown, grey, or black lesions, due to fungal colonization of plant tissues and production of numerous microsclerotia, characterizing the classical charcoal rot/ashy stem symptoms. At this stage, pycnidia can sometimes, be found on aboveground colonized tissues. As the fungus colonization spreads up the stem during the seasons, it may eventually reach the pods, capsules or grains (Gupta et al. 2012). Underground organs, such as tubers and rhizomes, can also be partially or completely colonized (Mello et al. 2021).

Hosts: Macrophomina affects a wide range of hosts, including field crops, vegetables, ornamentals, shrubs and trees (Poudel et al. 2021, Cohen et al. 2022a, Bhunjun et al. 2024, Farr & Rossman 2025). Macrophomina species have been recorded worldwide on a broad range of economically important hosts including soybean (Glycine max), maize (Zea mays), common bean (Phaseolus vulgaris), black gram (Vigna mungo), chickpea (Cicer arietinum), cotton (Gossypium spp.), pigeon pea (Cajanus cajan), sorghum (Sorghum bicolor), sunflower (Helianthus annuus), and sesame (Sesamum indicum) (Dhingra & Sinclair 1978, Root 1986, Reyes-Franco et al. 2006, Khan 2007, Agarwal 2010, Ndiaye et al. 2015, Santos et al. 2020, Poudel et al. 2021, Cohen et al. 2022b). Macrophomina phaseolina is the most common and widespread species causing stem and root rot, charcoal rot and seedling blight in hundreds of plant species (Islam et al. 2012, Farr & Rossman 2024). Macrophomina pseudophaseolina has been recorded on cowpea (Vigna unguiculata), peanut (Arachis hypogaea), sorrel (Hibiscus sabdarifa), okra (Abelmoschus esculentus), cotton (G. hirsutum), castor bean (Ricinus communis), cassava (Manihot esculenta), sweet potato (Ipomoea batatas), lentil (Lens culinaris), common bean, and few other weeds (Sarr et al. 2014, Ndiaye et al. 2015, Brito et al. 2019, Machado et al. 2019, Mello et al. 2021, Viejobueno et al. 2022, Kouadri et al. 2023). Macrophomina euphorbiicola was originally reported on castor bean and bellyache bush (Jatropha gossypifolia), and later on Stevia rebaudiana, Amaranthus retroflexus, and Convolvulus arvensis (Machado et al. 2019, Mello et al. 2021, Sanabria-Velazquez et al. 2022, Moslemi et al. 2023). Macrophomina tecta was first reported on sorghum and mung bean (Vigna radiata), and later on corn (Poudel et al. 2021, Viejobueno et al. 2022). On the other hand, M. vaccinii is known only through its original reports on blueberries (Vaccinium spp.) (Zhao et al. 2019).

Pathogen biology, disease cycle and epidemiology: Microsclerotia are the primary inoculum source of Macrophomina species (Fig. 10). Pycnidia and conidia production has been occasionally observed in different host plants, however, their role in disease development and epidemiology is yet to be understood (Dhingra & Sinclair 1978, Romero Luna et al. 2017). Early infection stages demonstrate that Macrophomina should be regarded as hemibiotrophic, instead of a truly necrotrophic fungus (Shirai & Eulgem 2023). Although Macrophomina is considered a poor soil competitor, its microsclerotia in infected roots and plant residues play an

Fig. 9. Macrophomina phaseolina on various hosts. a Castor bean plant showing stem blight and branch death. b-c Roots of castor bean with extensive black lesions. d Longitudinal section of castor bean stem showing profuse microsclerotia formation. e Castor bean stem with presence of pycnidia and conidia cirrus. f Wilted and dead sesame plants. g-h Profuse formation of microsclerotia externally and internally (h) on sesame stem. i Longitudinal section of soybean stem with microsclerotia. j-k Corn stem with microsclerotia. l Microsclerotia formed on sesame root tissue. m Microsclerotium. n Transversal section of a pycnidium with conidia. o-q Immature M. pseudophaseolina conidium with apical mucous appendage and (p-q) mature pigmented conidia. Scale bars: l = 100 µm, m-q = 10 µm. This picture is copyright of Dartanha Jose Soares (except i by HK da Silva, j-k by R Veras and o-q by AR Machado).
Fig. 10. Charcoal rot lifecycle of Macrophomina phaseolina. Redrawn from Smith et al. (2014).

important role in its survival (Dhingra & Sinclair 1978, Gupta et al. 2012, Romero Luna et al. 2017). Depending on the environmental conditions and on the constitution of the host tissues, the microsclerotia can survive for several years in the soil (Gupta et al. 2012). Temperatures between 25 and 35 °C are favourable to microsclerotia germination and disease development. The microsclerotia can infect seedlings and roots of both young and mature plants. During colonization, Macrophomina produces enzymes and toxins that degrade root tissue, and with the onset of infection, the root and stem tissue is colonized within 2-3 weeks, with abundant microsclerotia being produced in the colonized tissues (Romero Luna et a. 2017). Macrophomina species can survive not only in soil and crop debris for long periods (mostly through microsclerotia), but also in asymptomatic seeds as mycelium and in symptomatic seeds as microsclerotia (Dhingra & Sinclair, 1978, Machado et al. 2019).

Morphological-based identification: Macrophomina is readily recognized based on the presence of microsclerotia (Petrak 1923). Conidiomata are pycnidial, globose, thick-walled, variable in size, dark brown, mostly immersed to erumpent. Ostiole is central, unilocular and papillate. Conidiophores are absent. Conidiogenous cells are hyaline, lageniform to cylindrical, proliferating percurrently near the apex and covered with a mucous layer when young. Conidia are hyaline, ellipsoid to obovoid, truncate at base, rounded at apex and covered with a thin outer mucous sheath when young (type C according to Nag Raj (1993)). Mature conidia become septate, medium to dark-brown, without mucoid appendages. Sclerotia are composed of dark-brown to black thick-walled cells that are irregular in shape and variable in size (Sutton, 1980, Saar et al. 2014, Zhao et al. 2019, Machado et al. 2019, Poudel et al. 2021, Moslemi et al. 2023).

Molecular-based identification: The identification of Macrophomina species based on morphology is difficult due to the largely overlapping of morphological features between the species (Machado et al. 2019). However, only the ITS region should not be used due to its low resolution to distinguish Macrophomina species (Machado et al. 2019, Poudel et al. 2021). The concatenation of multiple loci has been widely used for recent taxonomic studies of Macrophomina species. Most studies were based on act, cal, ITS, tef, and tub2 loci (Sarr et al. 2014, Machado et al. 2019, Zhao et al. 2019, Poudel et al. 2021). This study provides an updated phylogeny of Macrophomina based on combined ITS, tef, tub2, act and cal sequence data (Fig. 11, Table 6).

Recommended genetic markers (genus level): ITS

Recommended genetic markers (species level): ITS, tef, tub2, act and cal

Accepted number of species: five

References: Huda-Shakirah et al. (2019), Zhao et al. (2019), Machado et al. (2019), Nouri et al. (2020), Poudel et al. (2021) (morphology, phylogeny and accepted species numbers).

Fig. 11. Maximum likelihood tree of Macrophomina species based on the concatenated ITS, tef, tub2, act and cal sequence data. The best scoring RAxML tree had a final likelihood value of -4916.432. The tree was rooted with Melanops tulasnei (CBS 116805 and CBS 116806). Estimated base frequencies were as follows: A = 0.202, C = 0.317, G = 0.255, T = 0.225; substitution rates AC = 1.00000, AG = 3.15050, AT = 1.00000, CG = 1.00000, CT = 5.38755, GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Type strains are in bold. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.
Table 6 DNA barcodes for accepted species of Macrophomina.
SpeciesStrain GenBank accession numbers 
  ITSteftub2actcal 
Macrophomina euphorbiicola#CMM 4045KU058928KU058898MF457657MF457654MF457660 
M. phaseolina#CBS 162.25KF531826KF951996KF531805KF951803N/A 
M. pseudophaseolina#CPC 21394KF951786KF952148KF952228KF951913N/A 
M. tectaBRIP 70781MW591684MW592271MW592300MW592058MW592138 
M. vaccinii#CGMCC 3.19503MK687450MK687426MK687434MK687442N/A 

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A. Species confirmed with pathogenicity studies are marked with #.

131. Melampsora Castagne, Observ. Uréd. 2: 18 (1843)

Type species: Melampsora euphorbiae (Ficinus & C. Schub.) Castagne

Classification: Pucciniomycetes, Pucciniales, Melampsoraceae

Background: Melampsora is a genus of plant pathogenic rust fungi belonging to Basidiomycota. The genus was established by Castagne (1843) with Me. euphorbiae as the type species causing rust on Euphorbia sp. Melampsora is characterised by the formation of sessile and unicellular teliospores which are united laterally and form crusts or columns on the host. The genus is an obligate biotrophic parasite that contains about 100 species with most of them being heteroecious. Members of this genus infect a variety of host plants including agricultural and non-agricultural crops. Poplar leaf rusts caused by various species of Melampsora including Me. larcici-populina, Me. medusa and Me. occidentalis are important tree diseases. Linin flax rust, Melampsora lini (Ehrenb.) Lév., is the most important pathogen of cultivated Linum usitatissimum.

Distribution: Algeria, Argentina, Canada, China, Colorado, France, Germany, Greenland, India, Iran, Japan, Mongolia, Morocco, Mozambique, Nepal, New Zealand, Pakistan, Russia, Shanxi, Siberia, Spain, Sri Lanka, Tibet, USA, Uzbekistan and Venezuela (Farr & Rossman 2025).

Hosts: Abies, Acalypha, Aleurites, Chelidonium, Chosenia, Corydalis, Euphorbia, Hypericum, Hypericum, Larix, Lobelia, Mercurialis, Pinus, Piscaria, Polygala, Populus, Ribes, Salix, Saxifraga, Serissa, Stellera, Stereospermum, Vernonia and Wikstroemia (Farr & Rossman 2025).

Disease symptoms: Melampsora species produce yellow leaf spots, which eventually become necrotic (Fig. 12). The common rust symptoms appear as orange spore-producing structures (uredinia) on the underside of host leaves. On alternate hosts (conifers), after sporulation Melampsora species cause shrinkage and finally death of infected needles. Yellow aecia of these rust fungi are sometimes visible on cones of the alternate hosts (Cummins1959, Cummins & Hiratsuka 2003).

Fig. 12. Melampsora on Euphorbia sp. a Infection of rust on leaves. b Uredinia. c Telia (tiny black dots). This picture is copyright of Ajay Kumar Gautam, Shubhi Avasthi and Rajnish Kumar Verma.

Pathogen biology, disease cycle and epidemiology: Melampsora species enter the host surface either through stomatal openings or by direct penetration through epidermal cells. After entry, the pathogen forms primary and secondary mycelium intercellularly for the establishment and giving rise to haustoria. Melampsora spp. often form a crust-like brown membrane compacted into flat, dark-coloured groups of single-celled sessile teliospores below the cuticle or epidermis of the host plant. Melampsora species are often heteroecious requiring two unrelated host plants or complete their life cycle on the one host (autoecious). They may produce five different spore types (macrocyclic) which reflects the complexity of these fungi. In several Melampsora species, however, only uredinial and telial stages have been described. Over half of the described species of Melampsora are known on Salix (willow) and Populus (poplar). None of the species of Salix in the world are entirely free of rust infection. For heteroecious species, the alternate hosts include conifers (Tsuga, Abies, Larix and Ribes spp.) (Sinclair 1987, Pei et al. 1993).

Morphological-based identification: The identification of Melampsora rust fungi is mainly based on their morphology, alternate hosts, and telial host range. The identification is also based on the position of uredinia and telia on leaves of host plants, the thickness of spore walls along with morphology of uredinial paraphyses. Melampsora produces intercellular, septate, branched, dikaryotic, and subepidermal mycelium within the parenchymatous tissues of the host. Spermogonia are of Group I (type 3 subcuticular; or type 2, subepidermal), flask-shaped, pale yellow, containing paraphyses and minute, oval to globose spermatia. Aecia are orange-yellow, scattered on the undersurface of the leaves or sometimes on the stem, subepidermal, erumpent, and of Caeoma–type (some species have peridial cells adherent to the host epidermis). Aeciospores are polygonal in shape, echinulate, or verrucose with rod-like columns or blocks. Uredinia are subepidermal, erumpent and Uredo-type occur on both surfaces of leaves. They are bright yellow or orange initially and fade to nearly colourless with the progress of the disease. Capitate paraphyses are found abundantly in uredinia. Urediniospores are orange in colour, echinulate, with colourless walls, borne singly on pedicels and intermixed with capitate paraphyses. The pores of these spores may be scattered or bizonate, and obscure. Telia are reddish brown, elongated, subepidermal or relatively subcuticular, and remain covered, forming adherent crusts of 1 spore deep on the stem. The 1-celled sessile teliospores have a single germ pore and a brown wall. Melampsora species form external basidia (Cummins & Hiratsuka 2003, Ebinghaus et al. 2020).

Molecular-based identification: Maier et al. (2003) analysed LSU sequence data of Melampsora and placed it in a basal position of the Pucciniales (Uredinales). This DNA sequence-based systematic placement of this genus also supported its proposal to be ancestral (Durrieu 1980). However, based on SSU sequence data, Wingfield et al. (2004) proposed Racospermyces (Endoraecium) in the basal-most position and Melampsora in a derived lineage. Pei et al. (2005) generated LSU and ITS sequences of 11 species of Melampsora from Salix sp. and Populus sp. and Aime et al. (2006) examined two nuclear rDNA genes (18S and 28S) from field or herbarium specimens and DNA sequences from GenBank. They included two Melampsora species (Me. epitea Thüm. and Me. euphorbiae Castagne) in their study along with other rust fungi. Similarly, based on morphological characteristics and the ITS sequence data, a new species of Melampsora (Me. iranica) was reported on Salix elbursensis in the northwest of Iran (Damadi et al. 2011). Using ITS-2 and large ribosomal subunit RNA gene (LSU) regions, Busby et al. (2012) identified Me. columbiana on two species of Populus from North America. The molecular analyses using rDNA sequence information of two heteroecious rust species, Me. chelidonii-pierotii and Me. yezoensis, which parasitize Salix spp. and members of Papaveraceae revealed their phylogenetic similarity, although they have different survival strategies (Shinyama and Yamaoka 2012). Fifteen Melampsora spp. were examined phylogenetically using six nuclear and mitochondrial loci by Vialle et al. (2013). They observed that only three lineages fitted exactly defined morphological species, whereas, 12 were concordant with host specialization. Zhao et al. (2015a, b) studied Melampsora species on willows in China, and two new species and one new record of Melampsora were identified. The internal transcribed spacer (ITS1 and ITS2) region and LSU sequences were used in molecular phylogeny along with morphological characteristics to identify these fungi. In a similar study of Melampsora species on willows, one new species (Melampsora salicis-reinii) and two new records (Me. ribesii-viminalis and Me. ribesii-purpureae) were identified from Japan based on morphological and molecular phylogenetic studies using ITS region (Zhao et al. 2015c). Ali et al. (2016) re-examined Melampsora euphorbiae, Me. euphorbiae-gerardianae and Me. helioscopiae reported previously on Euphorbia helioscopia in Pakistan and described a new species, Me. pakistanica. Yun et al. (2016) reported Me. yezoensis as a new rust species on Salix koreensis based on morphology and molecular data of the ITS region. Based on analysis of sequences of ITS region and LSU (D1/D2) along with morphological characters, Zheng et al. (2019) reported a North American poplar leaf rust species, Me. medusae, in China. Aime & McTaggart (2020) included two species of Melampsora (Me. euphorbiae and Me. laricis-populina) in their study to provide a higher-rank classification for Pucciniales. Based on a combined LSU and ITS dataset for 25 rust genera, including 12 species of Melampsora, a phylogenetic analysis of Indian Pucciniales was carried out by Gautam et al. (2021) which provided a better understanding of their phylogeny and evolution. This study provides an updated phylogeny of Melampsora based on combined LSU and ITS sequence data (Fig. 13, Table 7).

Recommended genetic marker (genus level): ITS, LSU

Recommended genetic marker (species level): ITS, LSU

Accepted number of species: 100

References: Cummins (1959), Sinclair (1987), Pei et al. (1993), Cummins & Hiratsuka (2003), Pei et al. (2005), Aime (2006), Aime et al. (2006), Feau et al. (2009), Damadi et al. (2011), Busby et al. (2012), Shinyama & Yamaoka (2012), Vialle et al. (2013), Padamsee & McKenzie (2014), Toome & Aime (2015), Ali et al. (2016), Giordano et al. (2019), Aime & McTaggart (2020) (morphology and phylogeny)

Table 7 DNA barcodes for accepted species of Melampsora.
SpeciesStrainGenBank accession numbers
  ITSLSU
Melampsora abietis-populiHMAS 247978MK028579MK064529
Me. allii-populinaDAOM216857JN881728JN934902
Me. amygdalinaeN/AAY444776AY444782
Me. babylonicaeHGUP21117OR462100OR462105
Me. bigelowii1268MEB-SAN-SKA.1GQ479205GQ479205
Me. × columbianasn-35JQ042235JQ042235
Me. caprearumN/AAY444779AY444781
Me. chelidonii-pierotiiN/AAB646769N/A
Me. coleosporioidesN/AAY652948AY652951
Me. danbaensisHMAS353134PP852474PP852478
Me. epiteaTNS-F-121034KX386070KX386097
Me. euphorbiaeBPI 863501N/ADQ437504
Me. ferriniiPUR N6740N/ANG_060305
Me. hypericorumPDD 97325N/AKJ716353
Me. hyperici-pseudohenryiHMAS353133PP852476PP852480
Me. hyperici-sampsoniiHMAS350001MK518877MK518547
Me. iranicaSMD-2008 IRANSIFFJ386431FJ386431
Me. laricis-pentandraeN/AAY444771AY444783
Me. laricis-populinaHMAS 247976MK028584MK028584
Me. laricis-miyabeanaHMAS 247980N/AMK064532
Me. × medusae-populina97G13AY375276AY375276
Me. microsporaBA13cN/AKX237556
Me. paradoxa1273MEP-SAY-USA.1GQ479273GQ479273
Me. populneaN/AAY444772AY444786
Me. pruinosaeHMAS 247982MK028585MK064533
Me. salicis-albaeN/AAY444775AY444788
Me. salicis-argyraceaeHMAAC4051N/AMK372204
Me. salicis-cavalerieiHMAAC4044MK277297MK277302
Me. salicis-michelsoniiHMAAC4039MK277293MK277298
Me. salicis-sinicaeHMAAC4085MK372181MK372214
Me. yezoensisDUCC509KT199021N/A
Me. yoshinagaeAm111N/AMT636462

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A.

Fig. 13. Maximum likelihood tree of Melampsora species based on the concatenated LSU and ITS sequence data. The best scoring RAxML tree had a final likelihood value of -5783.292563. The tree was rooted to Naohidemyces vaccini. Estimated base frequencies were as follows: A =0.300219, C =0.176250, G =0.227689, and T =0.295842; substitution rates AC =1.261606, AG =1.929654, AT =0.708137, CG =0.305156, CT =2.230781, and GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Type strains are in bold. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.

132. Myrothecium Tode, Fungi Mecklenburgenses Selecti 1: 25 (1790)

Type species: Myrothecium inundatum Tode.

Classification: Sordariomycetes, Hypocreales, Stachybotryaceae

Background: Myrothecium was introduced by Tode (1790). Myrothecium sensu lato encompasses approximately 18 genera, all grouped within Stachybotryaceae (Lombard et al. 2016, Liang et al. 2019). Many species are recognized for their significant biological activities (Brian et al 1948, Lee et al. 2008, Ruma et al. 2015). Although several Myrothecium species are considered weak or opportunistic plant pathogens, species such as Albifimbria verrucaria (synonym Myrothecium verrucaria) and Paramyrothecium roridum (synonym My. roridum) have been studied more in depth due to their aggressive pathogenicity on a wide range of plant hosts (Han et al. 2014, Ben et al. 2016, Weaver et al. 2021). Myrothecium have also been reported as saprobes and endophytes from different substrates and ecosystems, including soil, decaying plant matter, and living plant tissues (Ahrazem et al. 2000, Quezado Duval et al. 2010, Chen et al. 2016). Despite numerous studies, the taxonomy of many taxa within the genus remains unresolved, and further molecular and morphological studies are necessary to clarify their classification.

Distribution: worldwide (Farr & Rossman 2025)

Disease symptoms: Myrothecium species are opportunistic fungal pathogens that infect a wide range of plants, causing leaf spots, stem cankers, fruit rots, and seedling damping-off (Maji 2013, Chen et al. 2016, Fujinawa et al. 2016, Lombard et al. 2016). Infections usually appear as small, circular to irregular brown or tan necrotic spots with dark, well-defined margins on leaves. These lesions may expand, coalesce, and cause extensive blight (Lombard et al. 2016). Myrothecium can cause elongated, sunken, dark lesions or cankers on stems and petioles that may crack or become soft and water-soaked. Seedlings infected by Myrothecium spp. may suffer from pre- or post-emergence damping-off, showing basal stem rot and eventual seedling collapse (Maji 2013, Chen et al. 2016, Fujinawa et al. 2016).

Hosts: Chrysanthemum spp., cotton (Gossypium hirsutum), cucumber (Cucumis sativus), gerbera (Gerbera jamesonii), pepper (Capsicum spp.), poinsettia (Euphorbia pulcherrima), soybean (Glycine max), tomato (Solanum lycopersicum), and watermelon (Citrullus lanatus) (Farr & Rossman 2025).

Pathogen biology, disease cycle and epidemiology: Myrothecium thrives in warm, humid environments and has a broad host range, infecting vegetables, ornamentals, and field crops (Maji 2013, Chen et al. 2016, Fujinawa et al. 2016, Lombard et al. 2016). The disease cycle begins with the overwintering of Myrothecium in plant debris, soil, or on infected seeds (Nguyen et al. 1973, van Bruggen et al. 2016). Under favourable environmental conditions, particularly high humidity and warm temperatures, conidia germinate and infect host plants. Initial infection is often localized but can spread rapidly in moist environments. Myrothecium penetrates through wounds or weakened tissue, leading to leaf spots, stem lesions, and in severe cases, plant wilting and dieback. Secondary spread occurs via water splash, wind-driven rain, and mechanical transmission (Nguyen et al. 1973, van Bruggen et al. 2016).

Morphological-based identification: The generic concept of Myrothecium has undergone several emendations over time (Link 1809, von Höhnel 1905, Pidoplichko & Kirilenko 1971, Lombard et al. 2016). Myrothecium sensu stricto includes species with cup-shaped sporodochia, which are often covered with slimy masses of green to black conidia (Tode 1790, Chen et al. 2016, Lombard et al. 2016, Fig. 14). These sporodochia may be scattered or aggregated. The conidiophores are short and often branched, bearing phialidic conidiogenous cells that produce conidia in a slimy matrix. The conidia are usually cylindrical to ellipsoidal, smooth or roughened, and vary from hyaline to dark green or black. These morphological traits were previously used to distinguish Myrothecium from morphologically similar genera (Link 1809, von Höhnel 1905, Pidoplichko & Kirilenko 1971). However, due to overlapping morphology, molecular data are needed for species identification.

Molecular-based identification: There have been relatively few comprehensive phylogenetic studies focused on Myrothecium due to the lack of multi-loci data for a number of species (Ruiz et al. 2008, Alves et al. 2010, Jiang et al. 2014, 2017, Wu et al. 2014b). This underscores the need for extensive molecular studies incorporating broader taxon sampling, to clarify the evolutionary relationships and classification within this genus. Decock et al. (2008) used ITS sequence data to distinguish Septomyrothecium from Myrothecium, and their results indicated that Myrothecium is paraphyletic. Chen et al. (2015) re-evaluated the phylogeny of Myrothecium based on ITS and tef sequences, suggesting the polyphyly of Myrothecium within Stachybotryaceae. Lombard et al. (2016) resolved Myrothecium sensu lato to 18 genera and confirmed the placement of two species in Myrothecium and excluded 12 species previously identified as Myrothecium. This study provides an updated phylogeny of Myrothecium and related genera in Stachybotryaceae based on multi-loci sequence data (ITS, LSU, rpb2, tef, tub2 and cal) (Fig. 15, Table 8). We included Myrothecium species that have multi-locus data to determine their phylogenetic placement. We propose the new combinations Digitiseta chiangmaiensis and Myxospora thailandica (Fig. 15 and S1).

Digitiseta chiangmaiensis (D.Q. Dai & K.D. Hyde) Bhunjun, Phukhams. & K.D. Hyde, comb. nov.

Index Fungorum number: IF905055; Facesoffungi number: FoF 19467

Synonym: Myrothecium chiangmaiense D.Q. Dai & K.D. Hyde, in Dai et al., Fungal Diversity 82: 49 (2016)

Description: See Dai et al. (2017)

Notes: Digitiseta chiangmaiensis was described as Myrothecium chiangmaiense from dead culms of bamboo in Thailand (Dai et al. 2017). In the analyses of combined ITS, LSU, rpb2, tef, tub2 and cal sequence data of Stachybotryaceae, the strain (MFLUCC 11–0506) clustered with Digitiseta multidigitata (MUCL 41187). Therefore, we transfer Myrothecium chiangmaiense to Digitiseta (Fig. 15 and S1).

Myxospora thailandica (D.Q. Dai & K.D. Hyde) Bhunjun, Phukhams. & K.D. Hyde, comb. nov.

Index Fungorum number: IF905056; Facesoffungi number: FoF 19466

Fig. 14. Myrothecium sp. a-b Conidiomata. c Sporodochia. d-e Conidiogenous cells. f Conidia. Scale bar: c = 100 µm, d-f = 10 µm. This picture is copyright of Pedro Crous (Lombard et al. 2016).
Table 8 DNA barcodes for accepted species of Myrothecium.
SpeciesStrainGenBank accession number
  ITSLSUrpb2teftub2cal
Myrothecium inundatumCBS 275.48KU846452KU846474N/AKU846514KU846533KU846435
My. inundatumCBS 196.74KU846451KU846473N/AKU846513KU846532KU846434
My. inundatumCBS 120646KU846455KU846477N/AKU846516KU846536KU846438
My. simplexCBS 582.93KU846456KU846478N/AKU846517KU846537KU846439

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A.

Synonym: Myrothecium thailandicum D.Q. Dai & K.D. Hyde, in Dai et al., Fungal Diversity 82: 49 (2016)

Description: See Dai et al. (2017)

Notes: Myxospora thailandica was described as Myrothecium thailandicum from dead culms of bamboo in Thailand (Dai et al. 2017). In the analyses of combined ITS, LSU, rpb2, tef, tub2 and cal sequence data of Stachybotryaceae, the strain (MFLUCC 11-0395) clustered with Myxospora crassiseta (CBS 731.83). Therefore, we transfer Myrothecium thailandicum to Myxospora (Fig. 15 and S1).

Recommended genetic markers (genus level): ITS

Recommended genetic markers (species level): ITS, LSU, rpb2, tef, tub2 and cal

Accepted number of species: two

References: Crous et al (2014), Fujinawa et al. (2016), Lombard et al. (2016) (morphology and phylogeny)

Fig. 15. Maximum likelihood tree of Myrothecium and related genera in Stachybotryaceae based on the concatenated ITS, LSU, rpb2, tef, tub2 and cal sequence data. The best scoring RAxML tree had a final likelihood value of -39144.227. The tree was rooted with Fusarium sambucinum (CBS 146.95 and CBS 136.24). Estimated base frequencies were as follows: A = 0.237, C = 0.272, G = 0.269, T = 0.222, with substitution rates AC = 1.24675, AG = 2.95299, AT = 1.24675, CG = 1.00000, CT = 5.51631, GT = 1.000000. ML support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Type strains are in bold. The new combinations are in blue. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.

133. Neopseudocercosporella Videira & Crous, Stud. Mycol. 83:80 (2016)

Type species: Neopseudocercosporella capsellae (Ellis & Everh.) Videira & Crous

Classification: Dothideomycetes, Mycosphaerellales, Mycosphaerellaceae

Background: Neopseudocercosporella is an important pathogen that affects economic crops worldwide. The genus was established by Videira et al. (2016). Both species Neopseudocercosporella brassicae and N. capsellae cause white leaf spot disease in plants in the family Brassicaceae (Videira et al. 2016, Gunasinghe et al. 2020, 2021). Videira et al. (2016) suggested that the two species could be synonymous despite having distinct disease symptoms, ascospore morphology and culture characteristics.

Distribution: worldwide (Farr & Rossman 2025), however, the disease is more destructive in Subtropical, Mediterranean, or Temperate climate regions with cool and wet climates

Disease symptoms: Neopseudocercosporella species are generally foliar pathogens that produce leaf lesions with necrosis or chlorosis, but can also produce stem, and pod lesions under favourable weather conditions (Petrie & Vanterpool 1978, Fig. 16). Neopseudocercosporella capsellae initially causes numerous brown elongated spots on mature lower leaves that later coalesce to form large irregularly shaped, white or pale beige lesions on Brassica napus (rapeseed) (Gunasinghe et al. 2020). As the crop matures, P. capsellae spreads to stems and pods to develop grey to black lesions. These lesions can expand rapidly to cover large areas with ash-depressed centres (Carmody 2017) or purple to grey-speckled areas (Petrie & Vanterpool 1978). The leaf disease symptoms can vary among other brassica hosts depending on the degree of waxiness of the leaf surface and may not resemble the white leaf spot lesions on rapeseed (Crossan 1954). For example, the disease symptoms can be round, semi-transparent larger lesions with brownish-grey centres with well-defined brown or tan margins on turnip and wild mustard and ashy black centred, rectangular or rounded lesions with well-defined margins on cabbage (Miller & McWhorter 1948).

Hosts: Neopseudocercosporella capsellae infects a range of cultivated crucifers including Brassica napus and B. juncea (Boerema & Verhoeven 1977, Gudelj et al. 2004, Murtza et al. 2021, Farr & Rossman 2025) with Chinese cabbage (B. rapa sub sp. pekinensis) and cauliflower (B. oleracea) recorded as common hosts (Lancaster 2006). Neopseudocercosporella species have also been isolated from the leaf lesions of a number of different ‘wild’ or ‘weedy’ crucifers such as Capsella bursa-pastoris (shepherd’s purse), Malcolmia africana (African mustard) and Raphanus raphanistrum (white charlock) (Crossan 1954, Deighton 1973, Petrie & Vanterpool 1978, Föller & Paul 2002, Lancaster 2006).

Pathogen biology, disease cycle and epidemiology: Neopseudocercosporella is capable of completing its life cycle in an asexual or sexual stage (Petrie & Vanterpool 1978, Inman et al. 1991, Barbetti 2000, Fig. 17). In the sexual stage, the ascomata release ascospores which initiate the new disease cycle (Inman et al. 1991). During the asexual stage, the conidia initiate the new disease cycle and asexual resting structures (stromatic knots) are responsible for the survival of the pathogen between crops (Crossan 1954, Perron & Nourani 1990, Fitt et al. 2006).

Morphological-based identification: Neopseudocercosporella differs from the closely related genera Fusoidiella and Filiella which produce fusiform or acicular-filiform conidia, respectively, compared to the subcylindrical conidia of Neopseudocercosporella (Videira et al. 2016). Apseudocercosporella can be distinguished from Neopseudocercosporella by having slightly thickened and darkened conidial hila and conidiogenous cells (Braun 1995). The two Neopseudocercosporella species are distinguishable based on the morphology of ascospores and colony characteristics (Inman et al. 1991).

Molecular-based identification: Videira et al. (2016) established Neopseudocercosporella using LSU, ITS, act, tef, his3, rpb2, cal and tub2 sequences. Although the two species have morphologically distinct features, Videira et al. (2016) suggested that these two species could be synonymous, considering the high similarity in molecular data. However, they are currently considered two distinct species, pending recollection of fresh material. As the members share high sequence similarity, a polyphasic approach is recommended for species-level identification (Videira et al. 2016, 2017). This study provides an updated phylogeny of Neopseudocercosporella based on combined LSU, ITS, act, tef, rpb2, cal and tub2 sequence data (Fig. 18, Table 9).

Recommended genetic markers (genus level): LSU and ITS

Recommended genetic markers (species level): LSU, ITS, act, tef, rpb2, cal and tub2

Accepted number of species: two

References: Gunasinghe et al. (2016), Videira et al. (2016), (2017), Murtza et al. (2021) (morphology and phylogeny)

Table 9 DNA barcodes for accepted species of Neopseudocercosporella.
SpeciesIsolate GenBank accession numbers
  LSUITSacttefrpb2caltub2
Neopseudocercosporella brassicae#CBS 228.32KF251808KF251304KF253613KF253252KX348058KF253967KF252783
N. brassicaeCBS 173.88KX286991KX287293KX287582KX287857KX288447N/AN/A
N. brassicaeCBS 267.53KF251809KF251305KF253614KF253253KX348059KF253968KF252784
N. capsellae#CBS 135464KX286992DQ303091KF253616KX287858KX288448KF253970KF252786
N. capsellaeCPC 12518KX286994KX287295KX287584KX287860KX288451N/AN/A
N. capsellaeCBS 112033KF251810KF251306KF253615KF253254KX348061KF253969N/A

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A. Species confirmed with pathogenicity studies are marked with #.

Fig. 16. White leaf spot symptoms caused by Neopseudocercosporella capsellae on different hosts: a Leaf lesions on Brassica napus (rapeseed), initially brown, elongated spots that later become white with the production of conidia. b Irregular, semi-transparent larger lesions with brownish-grey centres with well-defined brown or tan margins on Raphanus sativus. c Initially, brown to elongated spots that later become white cantered on Brassica campestris var. chinensis (Chinese cabbage). d Rectangular or rounded with well-defined margins with ashy brown or black centre on Bressica oleracea var. capitata (cabbage). e Stem lesions on Brassica nigra appearing as large black lesions with ash depressed centres. This picture is copyright of Niroshini Gunasinghe.
Fig. 17. Disease cycle of Neopseudocercosporella species. Redrawn from Gunasinghe et al. (2020).

134. Neopestalotiopsis Maharachch., K.D. Hyde & Crous, in Maharachchikumbura et al., Stud. Mycol. 79:135 (2014)

Type species: Neopestalotiopsis protearum (Crous & L. Swart) Maharachch.

Classification: Sordariomycetes, Amphisphaeriales, Sporocadaceae

Background: Neopestalotiopsis was introduced by Maharachchikumbura et al. (2014) to accommodate pestalotiopsis-like taxa that have versicolorous median cells and indistinct conidiophores. Neopestalotiopsis are primarily known as plant pathogens but have also been reported as saprobes and endophytes. Neopestalotiopsis species can cause leaf spots, fruit rot, and other plant diseases, affecting economically important crops such as tea, strawberry, and avocado (Espinoza et al. 2008, González et al. 2012, Chamorro et al. 2016, Sun et al. 2023). The species have also been associated with a wide variety of host plants across tropical and subtropical regions (Rodríguez-Gálvez et al. 2020, Diogo et al. 2021, Zhang et al. 2024).

Distribution: worldwide (Farr & Rossman 2025)

Disease symptoms: Neopestalotiopsis species are known to cause various diseases including canker, blight, dieback, fruit rots and leaf spot (Fig. 19). Neopestalotiopsis taxa have been reported as an important pathogen causing dieback, trunk diseases, leaf blights, leaf spot diseases, fruit rot, postharvest disease and severe defoliation of grapevine

Fig. 18. Maximum likelihood tree of Neopseudocercosporella species based on the concatenated LSU, ITS, act, tef, rpb2, cal and tub2 sequence data. The best scoring RAxML tree had a final likelihood value of -6877.382. The tree was rooted with Neocercospora ammicola (CCTU 1186). Estimated base frequencies were as follows: A = 0.239, C = 0.255, G = 0.287, and T = 0.219; substitution rates AC = 1.65698, AG = 2.88680, AT = 1.65698, CG = 1.00000, CT = 7.29436, and GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.
Fig. 19. Disease symptoms of: a Neopestalotiopsis sp. on Smilax sp. b Neopestalotiopsis sp. on Ginkgo biloba. c Neopestalotiopsis rhapidis on Podocarpus macrophyllus. d Neopestalotiopsis sp. on Smilax scobinicaulis. e Neopestalotiopsis sp. on Syzygium samarangense. f Neopestalotiopsis amomi on Amomum villosum. This picture is copyright of Yaru Sun.

cultivars (Jayawardena et al. 2015, 2016, Maharachchikumbura et al. 2017, Sun et al. 2023). As a result, they reduce the yield and quality of grapes, leading to the death of individual plants. Neopestalotiopsis have also been associated with stem blight, flower blight, twig dieback and fruit rots of a wide range of plants worldwide (Akinsanmi et al. 2016, Borrero et al. 2017, Mahapatra et al. 2018, Rodríguez-Gálvez et al. 2020, Zhang et al. 2024). Neopestalotiopsis species cause guava scab (Solarte et al. 2018), leaf spot on sweet potatoes (Maharachchikumbura et al. 2016), crown and root rot of strawberries, as well as canker and dieback on blueberries (Espinoza et al. 2008, González et al. 2012, Chamorro et al. 2016). Neopestalotiopsis also infects the leaves and fruits of strawberries, with the infection initially manifesting as circular, black, and slightly sunken spots that expand outwards on the surface (Ayoubi and Soleimani 2016). In fruit rots, the pathogen initially develops small, circular, black and slightly sunken spots on fruits that enlarge rapidly, becoming sunken and resulting in a soft decay of the fruit flesh (Maharachchikumbura et al. 2013a, b).

Hosts: Neopestalotiopsis have a wide host range including Acacia mollissima, Achras sapota, Acrostichum aureum, Alpinia malaccensis, Annona squamosa, Ardisia crenata, Artocarpus heterophyllus, Bulbophyllum, Calliandra haematocephala, Camellia, Carya illinoinensis, Cinchona, Cissus, Citrus, Cocos nucifera, Crotalaria juncea, Elaeis guineensis, Elettaria cardamomum, Eriobotrya japonica, Eucalyptus, Ficus macrocarpa, Fragaria × ananassa, Garcinia mangostana, Hevea brasiliensis, Ilex chinensis, Ipomoea, Kadsura coccinea, Leucospermum cuneiforme, Ligustrum lucidum, Litsea rotundifolia, Macadamia, Machilus thunbergia, Mangifera indica, Magnolia, Malus, Musa, Nopalea cochenillifera, Neodypsis decaryi, Paeonia suffruticosa, Pandanus, Paphiopedilum micranthum, Phoenix dactylifera, Picea, Pinus brutia, Platanus orientalis, Prunus dulcis, Psidium, Pteridium, Punica granatum, Rosa, Quercus rubra, Rhizophora, Sonneratia alba, Sporobolus elongatus, Syzygium, Taxus chinensis, Telopea, Thuja occidentalis, Vaccinium and Vitis (Farr & Rossman 2025).

Pathogen biology, disease cycle and epidemiology: Neopestalotiopsis species are opportunistic pathogens that primarily infect plants through wounds or natural openings, often under conditions of plant stress or environmental imbalance (Belisário et al. 2020, Diogo et al. 2021). The disease cycle typically begins with conidia landing on the surface of a susceptible host, where they germinate and penetrate plant tissues, leading to symptoms such as leaf spots, fruit rot, stem cankers, or dieback (Belisário et al. 2020). Under favourable conditions, Neopestalotiopsis rapidly colonizes plant tissue, producing new conidia on acervuli that emerge on infected surfaces. These spores are then dispersed by wind, rain splash or insects, facilitating secondary infections throughout the growing season (Diogo et al. 2021). The pathogen can persist in plant debris or soil, serving as a source of primary inoculum in subsequent seasons.

Morphological-based identification: Neopestalotiopsis species can be differentiated from other pestalotioid taxa by using morphology and molecular data (Maharachchikumbura et al. 2014b). Neopestalotiopsis species differ from Pestalotiopsis and Pseudopestalotiopsis in having versicolorous median cells whereas both Pestalotiopsis and Pseudopestalotiopsis have concolourous median cells (Maharachchikumbura et al. 2014b). However, using morphological characters to delimitate species is problematic as the morphological characters are plastic and vary between hosts and environments (Maharachchikumbura et al. 2011, 2016). Therefore, molecular data is important to identify different pestalotioid species (Maharachchikumbura et al. 2016, 2021).

Molecular-based identification: Neopestalotiopsis is closely related to Pestalotiopsis and Pseudopestalotiopsis. Neopestalotiopsis species can be roughly separated from Pestalotiopsis and Pseudopestalotiopsis based on base pair difference in the ITS region (Maharachchikumbura et al. 2014b). It is recommended to use ITS, tub2 and tef genes to provide a better resolution in phylogenetic analyses. This study provides an updated phylogeny of Neopestalotiopsis based on combined ITS, tub2 and tef sequence data (Fig. 20, Table 10).

Recommended genetic marker (genus level): LSU

Recommended genetic markers (species level): ITS, tub2 and tef

Accepted number of species: 112

References: Maharachchikumbura et al. (2012), (2014b), (2016), Jayawardena et al. (2015), (2016), Mahapatra et al. (2018), Rodríguez-Gálvez et al. (2020), Razaghi et al. (2024) (morphology, phylogeny and pathogenicity)

Table 10. DNA barcodes for accepted species of Neopestalotiopsis.
SpeciesStrainGenBank accession numbers
  ITStub2tef
Neopestalotiopsis acericolaCFCC 70620PP784733PP842610PP842622
Neo. acrostichiMFLUCC 17-1754MK764272MK764338MK764316
Neo. ageratinaeCGMCC 3.23468OR247899OR381006OR361406
Neo. alpapicalisMFLUCC 17-2544MK357772MK463545MK463547
Neo. amomiHKAS 124563OP498012OP752133OP653489
Neo. aotearoaCBS 367.54MH857366KM199454KM199526
Neo. asiaticaMFLUCC 12-0286JX398983JX399018JX399049
Neo. australisCBS 114159KM199348KM199432KM199537
Neo. brachiataMFLUCC 17-1555MK764274MK764340MK764318
Neo. camelliae-oleiferae#CSUFTCC81OK493585OK562360OK507955
Neo. castanopsidisCGMCC 3.23478OR247897OR381018OR361418
Neo. cavernicolaKUMCC 20-0269MW545802MW557596MW550735
Neo. celtidisCGMCC 3.23513OR247900OR381049OR361449
Neo. cercidicolaCFCC 70632PP784737PP842626PP842614
Neo. chiangmaiensisMFLUCC 18-0113N/AMH412725MH388404
Neo. chryseaMFLUCC 12-0261JX398985JX399020JX399051
Neo. clavisporaMFLUCC 12-0281JX398979JX399014JX399045
Neo. cocoesMFLUCC 15-0152KX789687N/AKX789689
Neo. coffee-arabicaeHGUP4019KF412649KF412643KF412646
Neo. collariataCGMCC 3.23493OR247905OR381026OR361426
Neo. concentricaCFCC 55162OK560707OM117698OM622433
Neo. cubanaCBS 600.96KM199347KM199438KM199521
Neo. dendrobiiMFLUCC 14-0106MK993571MK975835MK975829
Neo. dimorphosporaCGMCC 3.23497OR247903OR381030OR361430
Neo. dolichoconidiophoraCGMCC 3.23490OR247911OR381021OR361421
Neo. drenthiiBRIP 72264aMZ303787MZ312680MZ344172
Neo. egyptiacaCBS 140162KP943747KP943746KP943748
Neo. elaeagniHGUP10002MW930716MZ683391MZ203452
Neo. elaeidisMFLU 15-1466ON650690N/AON734012
Neo. ellipsosporaMFLUCC 12-0283JX398980JX399016JX399047
Neo. eucalypticolaCBS 264.37KM199376KM199431KM199551
Neo. eucalyptorumCBS 147684MW794108MW802841MW805397
Neo. fijiensisCGMCC 3.23465OR247892OR381003OR361403
Neo. fimbriataCGMCC 3.23479OR247869OR381020OR361420
Neo. foedansCGMCC 3.9123JX398987JX399022JX399053
Neo. formicidarumCBS 115.83KM199344KM199444KM199519
Neo. fragariae#ZHKUCC 22-0113ON553410ON569075ON569076
Neo. fuzhouensisCGMCC 3.23509OR247877OR381047OR361447
Neo. guajavaeFMBCC 11.1MF783085MH460871MH460868
Neo. guajavicolaFMBCC 11.4MH209245MH460873MH460870
Neo. guangxiensisCGMCC 3.23505OR247881OR381040OR361440
Neo. guizhouensisCGMCC 3.23501OR247883OR381036OR361436
Neo. hadrolaeliaeVIC 47180MK454709MK465120MK465122
Neo. haikouensisSAUCC212271OK087294OK104870OK104877
Neo. hispanicaCBS 147686MW794107MW802840MW805399
Neo. honoluluanaCBS 114495KM199364KM199457KM199548
Neo. hydeanaMFLUCC 20-0132MW266069MW251119MW251129
Neo. hypericiKUNCC 22-12598OP498009OP737883OP737880
Neo. ibericaCBS 147688MW794111MW802844MW805402
Neo. iranensisCBS 137768KM074048KM074057KM074051
Neo. javaensisCBS 257.31KM199357KM199437KM199543
Neo. jiangxiensisCGMCC 3.23492OR247890OR381024OR361424
Neo. keteleeriaMFLUCC 13-0915KJ503820KJ503821KJ503822
Neo. liquidambarisCGMCC 3.23508OR247878OR381046OR361446
Neo. longiappendiculataCBS 147690MW794112MW802845MW805404
Neo. lusitanicaCBS 147692MW794110MW802843MW805406
Neo. macadamiae#BRIP 63737BKX186604KX186654KX186627
Neo. machiliCGMCC 3.23477OR247870OR381016OR361416
Neo. maddoxiiBRIP 72266aMZ303782MZ312675MZ344167
Neo. magnaMFLUCC 15-0652KF582795KF582793KF582791
Neo. megabetasporaCGMCC 3.23474OR247875OR381010OR361410
Neo. mesopotamicaCBS 336.86KM199362KM199441KM199555
Neo. mianyangensis#CGMCC 3.23554OP546681OP672161OP723490
Neo. moniliformisCGMCC 3.23498OR247886OR381031OR361431
Neo. musaeMFLUCC 15-0776KX789683KX789686KX789685
Neo. nanningensisCGMCC 3.23475OR247872OR381014OR361414
Neo. natalensisCBS 138.41KM199377KM199466KM199552
Neo. nebuloidesBRIP 66617MK966339MK977632MK977633
Neo. olumideaeBRIP 72273aMZ303790MZ312683MZ344175
Neo. paeoniaeCBS 318.74MH554031MH554707N/A
Neo. paeoniae-suffruticosae#CGMCC 3.23555OP082292OP235980OP204794
Neo. pandanicolaKUMCC 17-0175N/AMH412720MH388389
Neo. pernambucanaRV01KJ792466N/AN/A
Neo. perukaeFMBCC 11.3MH209077MH460876MH523647
Neo. petilaMFLUCC 17-1738MK764275MK764341MK764319
Neo. phangngaensisMFLUCC 18-0119MH388354MH412721MH388390
Neo. phoenicisCFCC 70625PP784730PP842607PP842619
Neo. photiniaeGUCC 21-0820OP806524OP896200OP828691
Neo. phyllostachydisCGMCC 3.23491OR247891OR381023OR361423
Neo. piceanaCBS 394.48KM199368KM199453KM199527
Neo. poaeCGMCC 3.23506OR247880OR381042OR361442
Neo. protearumCBS 114178JN712498KM199463KM199542
Neo. psidiiFMBCC 11.2MF783082MH477870MH460874
Neo. rhapidisGUCC 21501MW931620MW980441MW980442
Neo. rhizophoraeMFLUCC 17-1550MK764277MK764343MK764321
Neo. rhododendriGUCC 21504MW979577MW980443MW980444
Neo. rhododendricolaKUN-HKAS 123204OK283069OK274147OK274148
Neo. rosaeCBS 124745KM199360KM199430KM199524
Neo. rosicola#CFCC 51992KY885239KY885245KY885243
Neo. samarangensisCBS 115451KM199365KM199447KM199556
Neo. saprophyticaMFLUCC 12-0282KM199345KM199433KM199538
Neo. scalabiensis#CAA1029MW969748MW934611MW959100
Neo. sichuanensisCFCC 54338MW166231MW218524MW199750
Neo. siciliana#CBS 149117ON117813ON209162ON107273
Neo. smilacisCGMCC 3.23500OR247885OR381033OR361433
Neo. sonneratiaeMFLUCC 17-1745MK764279MK764345MK764323
Neo. steyaertiiIMI 192475KF582796KF582794KF582792
Neo. subepidermalisCFCC 55160OK560699OM117690OM622425
Neo. suphanburiensisMFLUCC 22-0126OP497994OP752135OP753372
Neo. surinamensisCBS 450.74KM199351KM199465KM199518
Neo. terricola#CGMCC 3.23553OP082294OP235982OP204796
Neo. thailandicaMFLUCC 17-1730MK764281MK764347MK764325
Neo. theobromicola#MFLUCC 24-0253PQ198764PQ671951PQ671945
Neo. vaccinii#CAA1059MW969747MW934610MW959099
Neo. vacciniicola#CAA1055MW969751MW934614MW959103
Neo. vheenaeBRIP 72293aMZ303792MZ312685MZ344177
Neo. vitis#MFLUCC 15-1265KU140694KU140685KU140676
Neo. xishuangbannaensisKUMCC 21-0424ON426865OR025934OR025973
Neo. zakeeliiBRIP 72282aMZ303789MZ312682MZ344174
Neo. zimbabwanaCBS 111495JX556231KM199456KM199545
Neo. zingiberisHGUP10001MW930715MZ683390MZ683389

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A. Species confirmed with pathogenicity studies are marked with #.

135. Neosetophoma Gruyter, Aveskamp & Verkley, in Gruyter et al., Mycologia 102(5): 1075 (2010)

Type species: Neosetophoma samararum (Desm.) Gruyter, Aveskamp & Verkley

Classification: Dothideomycetes, Pleosporales, Phaeosphaeriaceae

Background: Neosetophoma was described as an asexual morph with Ne. samararum as the type species (Gruyter et al. 2010). Members have been reported as pathogens, endophytes, or saprobes in a wide range of habitats (Phookamsak et al. 2014, Hernandez-Restrepo et al. 2016, Karunarathna et al. 2017, Wanasinghe et al. 2018). Neosetophoma is characterized by globose to irregular conidiomata, with papillate ostioles, and yellowish conidia that are attenuated at one end (De Gruyter et al. 2010, Liu et al. 2015).

Distribution: worldwide (Farr & Rossman 2025)

Disease symptoms: Neosetophoma species are known to cause a variety of plant disease symptoms, although their pathogenic roles are not as extensively documented. Neosetophoma typically infects the leaves, stems, or bark of host plants, leading to symptoms such as leaf spots, necrotic lesions, blight, and canker formation (Gruyter et al. 2010, Marin-Felix et al. 2019a). The leaf spots are usually small to medium in size, brown to dark brown, often with a yellow halo, and may coalesce, causing extensive tissue death (Marin-Felix et al. 2019a, Ebrahimi & Fotouhifar 2021). Neosetophoma has also been associated with stem dieback or branch decline in woody plants as well as decline symptoms in fruit trees and elms, respectively (Hashemi & Mohammadi 2016, Ebrahimi & Fotouhifar 2021).

Hosts: Neosetophoma species have been isolated from various host families, viz. Brassicaceae, Caprifoliaceae, Iridaceae, Malvaceae, Ranunculaceae and Salicaceae (Phookamsak et al. 2014, Karunarathna et al. 2017). They have been found on both monocotyledons and dicotyledons, including trees, shrubs, grasses, and herbaceous crops (Alidadi et al. 2019, Farr & Rossman 2025). They have also been reported from economically and ecologically important species such as apple (Malus domestica), elm (Ulmus spp.), ash (Fraxinus spp.), and various plants in Poaceae (Ebrahimi & Fotouhifar 2021). Neosetophoma species have been reported from legumes, maples, other hardwood trees and soil, often as saprobes or endophytes (Gruyter et al. 2010, Karunarathna et al. 2017, Marin-Felix et al. 2019a). This broad host range underlines the genus’s adaptability and potential impact on both natural ecosystems and agricultural systems.

Pathogen biology, disease cycle and epidemiology: The disease cycle of Neosetophoma species is not fully understood. Neosetophoma produce conidiomata on

Fig. 20. Maximum likelihood tree of Neopestalotiopsis species based on the concatenated ITS, tub2 and tef sequence data. The best scoring RAxML tree had a final likelihood value of -8335.116. The tree was rooted to Pseudopestalotiopsis avicenniae (MFLUCC 17-0434) and P. myanmarina (NBRC 112264). Estimated base frequencies were as follows: A = 0.223971, C = 0.279581, G = 0.195564, and T = 0.300884; substitution rates AC = 0.68043, AG = 2.40364, AT = 1.29389, CG = 0.68043, CT = 4.20028, and GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Type strains are in bold. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.

infected plant tissues, which release conidia that serve as primary inoculum (Alidadi et al. 2019, Ebrahimi & Fotouhifar 2021). The conidia are disseminated by wind or water splashes, particularly during wet conditions, allowing them to infect new host tissues through natural openings or wounds (Magyar et al. 2016). Once established, the fungus may remain asymptomatic or cause symptoms such as leaf spots, necrosis, and stem lesions (Ebrahimi & Fotouhifar 2021). In some species, pseudothecia develop later in the disease cycle, contributing to long-term survival. The fungus may overwinter in infected plant debris or woody tissues, serving as a reservoir for infection in subsequent growing seasons. Neosetophoma can act as a primary pathogen, secondary invader or latent colonizer (Magyar et al. 2016). More studies are needed to clarify the infection strategies and disease cycles of Neosetophoma species.

Morphological-based identification: The identification of Neosetophoma was primarily based on a combination of macroscopic and microscopic characteristics. The colonies (PDA or MEA) range from olivaceous to dark gray or brown, often with a darkly pigmented reverse (Gruyter et al. 2010, Marin-Felix et al. 2019a). The conidiomata are pycnidial, globose to pyriform, brown to black, and sometimes possess setae around the ostioles, a distinctive feature that contributes to the genus name (Fig. 21). Conidiogenous cells are usually phialidic or annellidic, ampulliform to cylindrical, and line the inner walls of the pycnidia. The conidia are hyaline to pale brown, ellipsoidal to cylindrical, mostly 1-septate, and smooth-walled. The sexual morph is characterized by globose to subglobose, unilocular and ostiolate ascomata (Phookamsak et al. 2014, Mehrabi & Asgari 2024). The hamathecium comprises numerous, filiform, hyaline, pseudoparaphyses. Asci are bitunicate, fissitunicate, cylindrical and 8-spored. Ascospores are fusiform, smooth-walled, hyaline to brown and 1–3-septate, without a gelatinous sheath. Although these morphological traits are useful for preliminary identification, they often overlap with other genera such as Phoma and Didymella, making molecular analysis essential for accurate species-level classification.

Molecular-based identification: Molecular-based identification of Neosetophoma has become increasingly important due to the morphological overlap with other genera. Gruyter et al. (2010) introduced Neosetophoma and Setophoma in Phaeosphaeriaceae to accommodate Phoma species based on LSU and SSU sequences. The placement of the genus in Phaeosphaeriaceae was confirmed by several studies (De Gruyter et al. 2012, Zhang et al. 2012b, Hyde et al. 2013, Quaedvlieg et al. 2013, Phookamsak et al. 2014). Several novel species were further introduced based on morphology and multi-gene phylogeny (Hernandez-Restrepo et al. 2016, Karunarathna et al. 2017, Wanasinghe et al. 2018, Marin-Felix et al. 2019a). This study provides an updated phylogeny of Neosetophoma based on combined ITS, LSU, SSU, rpb2, tef and tub2 sequence data (Fig. 22, Table 11).

Recommended genetic markers (genus level): ITS and LSU

Fig. 21. Neosetophoma poaceicola. a Ascomata on host. b Vertical section through ascoma. c-d Asci. e-f Ascospores. Scale bar: b = 50 µm, c-d = 30 µm, e-f = 15 µm. This picture is copyright of Danushka S Tennakoon (Tennakoon et al. 2020).
Fig. 22. Maximum likelihood tree of Neosetophoma species based on the concatenated ITS, LSU, SSU, rpb2, tef and tub2 sequence data. The best scoring RAxML tree had a final likelihood value of -9494.891. The tree was rooted with Ampelomyces quisqualis (CBS 131.31 and CBS 133.32). Estimated base frequencies were as follows: A = 0.250, C = 0.250, G = 0.250, T = 0.250; substitution rates AC = 1.68999, AG = 5.54503, AT = 1.68999, CG = 1.00000, CT = 13.78932, GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Type strains are in bold. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.
Table 11 DNA barcodes for accepted species of Neosetophoma.
SpeciesStrainGenBank accession numbers
  ITSLSUSSUrpb2teftub2
Neosetophoma aseptataCBS 145363MK539953MK540024N/AMK540084N/AN/A
Ne. buxiCBS 146845MW621494MW620993N/AMW628872MW628871N/A
Ne. camporesiiMFLUCC 15-0682N/AN/ANG_070320N/AN/AN/A
Ne. cerealisCBS 120096MH863077MH874630N/AN/AN/AN/A
Ne. clematidisMFLUCC 13-0734KP744450KP684153KP684154N/AN/AN/A
Ne. endophyticaRCEF20009OR985037OR985064OR985054N/AOR989985N/A
Ne. ficiIRAN 4234COP806395OP805934N/AOP838919N/AOP838921
Ne. garethjonesiiMFLUCC 14-0528KY496758 KY496738N/AN/AKY514402N/A
Ne. guiyangensisGZCC 18-0111MH018134MH018132MH018136N/AMH051889N/A
Ne. hnaniceanaMEND-F-0083MT119769MT119767N/AMT119768N/AN/A
Ne. iranianumIBRC-M 30176MF684861MF684866MF684868N/AN/AN/A
Ne. italicaMFLU 14-0809KP711356KP711361KP711366N/AN/AN/A
Ne. loniceraeKUMCC 18-0155MK356375MK356349MK356363N/AMK359067N/A
Ne. lunariaeCPC 26671KX306763KX306789N/AN/AN/AN/A
Ne. miscanthiFU31023MK503820MK503826MK503832N/AN/AN/A
Ne. phragmitisCBS 145364MK539954MK540025N/AMK540085MK540148N/A
Ne. poaceicolaMFLUCC 16-0886KY568986KY550382KY550383N/AN/AN/A
Ne. polygonataRCEF20007OR985035OR985062OR985052N/AN/AN/A
Ne. qimenensisRCEF20013OR985041OR985068OR985058N/AN/AN/A
Ne. rosaeMFLUCC 17-0844MG828926MG829035MG829141N/AMG829219N/A
Ne. rosarumMFLU 17-0308MG828927MG829036MG829142N/AN/AN/A
Ne. rosigenaMFLUCC 17-0768MG828928MG829037MG829143N/AN/AN/A
Ne. salicisMFLU 17-0118MK608025MK608026N/AN/AN/AN/A
Ne. samarorum#CBS 138.96MH862569MH874195GQ387517KF252168KF253119KF252655
Ne. sambuciCBS 145365MK539955MK540026N/AMK540086MK540149N/A
Ne. shoemakeriMFLUCC 17-2510MG602203MG602199MG602201N/AMG739515N/A
Ne. trachycarpiGZCC 21-0178PP592444PP621068PP627324PP780243PP760996N/A
Ne. xingrensisGZCC 18-0110MH018135MH018133N/AN/AN/AN/A

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A. Species confirmed with pathogenicity studies are marked with #.

Recommended genetic markers (species level): ITS, LSU, SSU, rpb2, tef and tub2

Accepted number of species: 28

References: Gruyter et al. (2010), Karunarathna et al. (2017), Alidadi et al. (2019), Marin-Felix et al. (2019a), Ebrahimi & Fotouhifar (2021) (morphology and phylogeny)

136. Nigrospora Zimm., Centbl. Bakt. ParasitKde, Abt. I 8: 220 (1902)

Type species: Nigrospora panici Zimm.

Classification: Sordariomycetes, Amphisphaeriales, Apiosporaceae

Background: Nigrospora is an important genus in ascomycetes with a cosmopolitan distribution and wide host range (Wang et al. 2017b). Nigrospora species are endophytes and saprobes of various hosts and have also been commonly recorded as plant pathogens with diverse host ranges including important economic crops, fruits and ornamentals (Sun et al. 2011, Wang et al. 2017b, Rashmi et al. 2019, Manawasinghe et al. 2025). In addition, this fungus can cause onychomycosis, corneal ulcers, hay fever, respiratory and allergic diseases in humans (De Hoog et al. 2000, Fan et al. 2009, Ananya et al. 2014).

Distribution: worldwide (Farr & Rossman 2025)

Disease symptoms: Nigrospora species can cause leaf spot as well as leaf, twigs, shoot and stem blight (Fig. 23). Nigrospora oryzae can cause minute black pustules on rice leaves, necrotic spots on rice grains and blight on glumes and culms, while on rice stems it produces grey to black lesions (Hajano et al. 2011). This species was reported to be highly pathogenic on cotton forming grey mycelium on bolls that later become discolored bolls (Palmateer et al. 2003, Sharma et al. 2013). This fungus also causes ear rot disease in maize with characteristic symptoms including superficial, dark grey to black lesions with a slight bluish cast on the lower inter-nodes (Sharma et al. 2013). Nigrospora oryzae also induces foliar symptoms in Kentucky bluegrass (Poa pratensis) in Ontario, Canada (Zheng et al. 2012). It was reported as seed-borne on barley, sorghum, and wheat and has been associated with postharvest diseases of citrus (Jagdish et al. 1985, Fakhrunnisa et al. 2006). Stem blight disease was observed on the lower portions of Brassica juncea stems during the cropping season, which was caused by Ni. oryzae in India (Sharma et al. 2013). Nigrospora sphaerica causes leaf blight symptoms on tea leaves in China and India (Dutta et al. 2015, Liu et al. 2016, 2020). Infected leaves have irregular-shaped yellow to brown leaf lesions, and later the entire leaf is infected and leaves turns dark brown and withered (Liu et al. 2020). Nigrospora sphaerica is an opportunistic pathogen causing onychomycosis in humans (De Hoog et al. 2000, Fan et al. 2009) and corneal ulcers (Ananya et al. 2014, Kindo et al. 2014, Motswaledi et al. 2018). Nigrospora musae is commonly known for causing squirter disease on banana plants (Jones and Stover 2000). The fungus resides on banana debris and sporulates after rainfall or after tree watering, and the disease develops during transportation and ripening of the fruit (Meredith 1961). The initial disease symptoms are a dark core or dark-red line of rubbery material along the center core or near the end of the banana fruit (Meredith 1961). This disease occurs in Australia, Jamaica, and Nigeria (Meredith 1961, https://agrobaseapp.com/).

Hosts: Nigrospora does not display evidence of host or geographical limitation (Palmateer et al. 2003, Wu et al. 2014a, Eken et al. 2016, Wang et al. 2017b, Orina et al. 2025). More than 900 records are found in the Fungal database (Farr & Rossman 2025). Hao et al. (2020) isolated five Nigrospora species from Shandong, China and found 13 novel host associations. Nigronapthaphenyl, a new compound was extracted from Ni. sphaerica (an endophyte) on Bruguiera gymnorrhyza (Ukwatta et al. 2019). Nigrospora sphaerica causes leaf spots, twigs and shoot blight of blueberry (Vaccinium corymbosum) (Wright et al. 2008). Foliar and cane rot of Arundo donax are caused by Ni. oryzae in Europe (Widmer et al. 2006). The same species caused lint rot or leaf spots of cotton in Alabama, China (Palmateer et al. 2003, Zhang et al. 2012a), stem blight on Brassica juncea in India (Sharma et al. 2013) and leaf spots in Aloe vera in China (Zhai et al. 2013). Nigrospora oryzae also causes leaf spots on Dendrobium candidum in China (Wu et al. 2014a) and on Kentucky bluegrass (Poa pratensis) in Ontario (Zheng et al. 2012). Nigrospora oryzae and Ni. sphaerica causes leaf spots on date palm leaves (Abass et al. 2014). Leaf blight on Stenotaphrum secundatum was caused by Nigrospora osmanthi in China (Mei et al. 2019). Nigrospora sphaerica causes leaf blight on Camellia sinensis and Cunninghamia lanceolata in China (Liu et al. 2016, Xu et al. 2017) and leaf spots of Kinnow mandarin in Pakistan (Alam et al. 2017, 2020). Reddish brown spot disease of dragon fruit (Hylocereus polyrhizus) was caused by Ni. lacticolonia and Ni. sphaerica in Malaysia (Kee et al. 2019).

Fig. 23. a-f Symptoms caused by Nigrospora sp. on sugarcane (Saccharum officinarum). This picture is copyright of Mubashar Raza (Raza et al. 2019).

Pathogen biology, disease cycle and epidemiology: Nigrospora spp., particularly Nigrospora oryzae, are primarily saprobes but can become weak pathogens under favourable conditions (Wang et al. 2017b). They produce dark, single-celled conidia in abundance, which are easily dispersed by wind, rain splash, and mechanical means (Magyar et al. 2016). The disease cycle typically begins when conidia land on senescing or wounded plant tissue and germinate under warm and humid conditions, hence colonizing the host (Doohan and Zhou 2017). Infection is often facilitated by plant stress or injury (Doohan and Zhou 2017). Disease development is favoured by warm temperatures and high humidity, especially in tropical and subtropical regions (Palmateer et al. 2003, Eken et al. 2016, Wang et al. 2017b, Orina et al. 2025). The pathogen survives in plant debris and infected plant parts, serving as the primary inoculum source for subsequent infections (Wang et al. 2017b).

Morphological-based identification: Species delimitation in Nigrospora was previously based on morphological characters, especially conidial dimensions (Mason 1927, 1933). The generic concept of Nigrospora has branched micronematous or semi-macronematous conidiophores, monoblastic conidiogenous cells and black, shiny, globose or subglobose, aseptate conidia while the sexual morphs comprise perithecial ascomata, short-stalked asci with biseriate ascospores (Webster 1952, Wang et al. 2017b, Raza et al. 2019). It was found that some key morphological characters (conidial dimensions) overlap, but there are phylogenetically distinct species of Nigrospora (Wang et al. 2017b). Thus, Wang et al. (2017) suggested using a combination of morphological and molecular data to distinguish Nigrospora species. The type of the genus, Ni. panici, was reported from Panicum amphibium from Java (Zimmerman 1902), but the holotype was lost (Wang et al. 2017b). Also, several species (Ni. aerophila, Ni. arundinacea, Ni. canescens, Ni. gallarum, Ni. gossypii, Ni. javanica, Ni. maydis, Ni. padwickii) are not available for molecular study, which to some extent has impeded the full resolution of species relationships (Wang et al. 2017b). Therefore, there is a need to find suitable specimens for epitypification of the type species and some other species.

Molecular-based identification: The phylogenetic investigations by Wang et al. (2017) significantly stabilized the taxonomy of the genus and affirmed the generic placement in Apiosporaceae (Xylariales) based on multi-locus molecular phylogeny of ITS, tef and tub2 gene regions. This study provides an updated phylogeny of Nigrospora based on combined ITS, tub2 and tef sequence data (Fig. 24, Table 12).

Recommended genetic markers (genus level): ITS and tub2

Recommended genetic markers (species level): ITS, tef and tub2

Accepted number of species: 46

References: Palmateer et al. (2003), Wu et al. (2014), Eken et al. (2016), Wang et al. (2017), Raza et al. (2019) (morphology and phylogeny)

Table 12 DNA barcodes for accepted species of Nigrospora.
SpeciesStrainGenBank accession numbers
  ITStub2tef
Nigrospora aurantiacaCGMCC 3.18130KX986064KY019465KY019295
Ni. bambusaeCGMCC 3.18327KY385307KY385319KY385313
Ni. brasiliensisCMM 1214KY569629MK720816MK753271
Ni. camelliae-sinensisCGMCC 3.18125KX985986KY019460KY019293
Ni. chinensisCGMCC 3.18127KX986023KY019462KY019422
Ni. cooperaeBRIP 72408bOP035047OP039537OP039538
Ni. covidalisCGMCC 3.20538OK335209OK431479OK431485
Ni. dactylidisKUNCC 25-19191PV608639PV613325PV626508
Ni. dicranopteridisKUNCC 23-14199PV138724PV222011PV177116
Ni. endophyticaURM8462OM265233OP572420OP572416
Ni. falsivesicularisCGMCC 3.19678MN215778MN329942MN264017
Ni. ficuumZHKUCC 22-0143OR164911OR166318N/A
Ni. globosaCGMCC 3.19633MK329121MK336134MK336056
Ni. globosporaCGMCC 3.20539OK335211OK431481OK431487
Ni. gorlenkoanaCBS 480.73KX986048KY019456KY019420
Ni. guangdongensisCFCC 53917MT017509 MT024495MT024493
Ni. guangxiensisKUNCC23-16747PQ553688PQ613610PQ613605
Ni. guilinensisCGMCC 3.18124KX985983KY019459KY019292
Ni. hainanensisCGMCC 3.18129KX986091KY019464KY019415
Ni. humicolaCFCC 56884ON555686ON557392ON557394
Ni. lacticoloniaGMCC 3.18123KX985978KY019458KY019291
Ni. macarangaeMFLUCC 18-0553MW063171N/AN/A
Ni. magnoliaeMFLUCC 19-0112MW285092MW438334N/A
Ni. manihoticolaURM8461OM265224OM869479OM914791
Ni. marylouisemclawsiaeBRIP 74865bPP125567PP209362PP209361
Ni. mercuriadeaeBRIP 75764aPP707904PP712794PP712793
Ni. musaeCBS 319.34KX986076KY019455KY019419
Ni. oryzaeLC 6761KX986056KY019574KY019376
Ni. osmanthiCGMCC 3.18126KX986010KY019461KY019421
Ni. pernambucoensisURM8463OM265234OM869481OM914793
Ni. philosophiae-doctorisCGMCC 3.20540OK335213OK431483OK431489
Ni. platycladiCFCC 72632PV759478PV855114PV820528
Ni. pubeiensisKUNCC23-16745PQ553686PQ613608PQ613603
Ni. pyriformisCGMCC 3.18122KX985940KY019457KY019290
Ni. rubiCGMCC 3.18326KX985948KY019475KY019302
Ni. saccharicolaCGMCC 3.19362MN215788MN329951MN264027
Ni. sacchari-officinarumCGMCC 3.19335MN215791MN329954MN264030
Ni. shadeganensisIRAN 4332COR478184OR482438OR482439
Ni. singularisCGMCC 3.19334MN215793MN329956MN264032
Ni. sphaericaLC 7312KX985935KY019618KY019414
Ni. stoneaeBRIP 75019aOR608743OR604066OR604064
Ni. tomentosaeZHKUCC 22-0340PP759659PP763296PP763294
Ni. vesiculariferaCGMCC 3.19333MN215812MN329975MN264051
Ni. vesicularisCGMCC 3.18128KX986088KY019463KY019294
Ni. yunnanensisGUCC24-0008PP915796PP947937PP947933
Ni. zimmermaniiCBS 290.62KY385309KY385317KY385311

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A.

Fig. 24. Maximum likelihood tree of Nigrospora species based on the concatenated ITS, tub2, and tef sequence data. The best scoring RAxML tree had a final likelihood value of -12521.122218. The tree was rooted with Apiospora species. Estimated base frequencies were as follows: A = 0.215197, C = 0.302061, G = 0.242950, T = 0.239792; substitution rates AC = 1.163224, AG = 3.223818, AT = 0.979868, CG = 1.107217, CT = 4.753930, GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Type strains are in bold. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.

137. Oculimacula Crous & W. Gams, Eur. J. Pl. Path. 109: 845. (2003)

Type species: Oculimacula yallundae (Wallwork & Spooner) Crous & W. Gams

Classification: Leotiomycetes, Helotiales, Ploettnerulaceae

Background: To resolve the phylogenetic position and affinity of the genus Ramulispora and the sexual state of the eyespot fungi in the genus Tapesia, Crous et al. (2003) established Oculimacula to accommodate Tapesia and Helgardia, the asexual morph of Oculimacula. Following the one fungus, one name system, Johnston et al. (2014) treated the name Oculimacula as the eyespot disease complex instead of using Helgardia. They also placed H. aestiva (Nirenberg) Crous & W. Gams and H. anguioides (Nirenberg) Crous & W. Gams in Oculimacula as O. aestiva (Nirenberg) Crous and O. anguioides (Nirenberg) Crous, respectively (Johnston et al. 2014). Marin-Felix et al. (2019b) provided details of Oculimacula and provided the genetic information to identify the genus. Crous et al. (2021a) redefined Oculimacula by analysis of genetic sequence comparisons of ITS, tef, act, rpb1, rpb2 and LSU sequences. Subsequently, Oculimacula was reduced to two species, O. acuformis and O. yallundae, with O. aestiva placed in Cyphellophora and O. anguioides accommodated in a new genus, Helgardiomyces (Crous et al. 2021a, King et al. 2021). Oculimacula yallundae and O. acuformis induce the disease eyespot (Robertse et al. 1995, Crous et al. 2003, Ray et al. 2006, King et al. 2021). In temperate climates, eyespot is regarded as the most serious stem base disease of cereals (Crous et al. 2003, Ray et al. 2006). Field diagnosis of eyespot can be difficult since other diseases cause similar symptoms, complicating eyespot therapy techniques (King et al. 2021).

Distribution: Africa, Australasia, USA, UK, Western Europe, and other temperate areas of the world (Farr & Rossman 2025)

Disease symptoms: Oculimacula species are soil-borne, facultative fungi that cause eyespot disease of wheat (Fig. 25). It comprises a major component of the stem-base disease complex of wheat in temperate regions of the world with a cool and wet climate (Lucas et al. 2000, Crous et al. 2003, Wei et al. 2011). Eyespot disease of wheat generally occurs in autumn. The pathogen first infects the coleoptiles of wheat, then develops into the stem sheaths and stalks, producing typical eyespot lesions. In general, eyespot lesions form on leaf sheaths and culms that are close to the soil. The lesions cause yellowing of the straw, often with a black pupil-like spot in the center surrounded by a green-brown to dark brown ring. When the infection is severe, the wheat stems are weakened at the point of infection, making them prone to lodging, twisting, bending, and even breaking from the lesions (Lucas et al. 2000, Prescott et al. 2007, Wei et al. 2011, King et al. 2021). Eyespot lesions can cause moderate or severe damage to wheat, interfering with the movement of nutrients and water through the stem, resulting in a loss of wheat yield (Glynne & Salt 1958, Clarkson 1981, Lucas et al. 2000, Crous et al. 2003).

Hosts: Oculimacula has a wide range of hosts in cereals and wild grass species belonging to Poaceae, such as Bromus diandrus, Hordeum leporinum, Holcus lanatus, wheat, barley, rye, and oats with wheat being the most susceptible (Wallwork 1987, Murray et al. 1994, Lucas et al. 2000, Dyer & Bradshaw 2002, Chapman et al. 2008, Farr & Rossman 2025).

Pathogen biology, disease cycle and epidemiology: Eyespot is caused by the pathogens Oculimacula acuformis and O. yallundae (Marin-Felix et al. 2019b). Both Oculimacula species can enter the outer leaf sheath of the host directly through the epidermal cells or more commonly through the stomata. Normally, the fungi form a stroma on the host surface, from where infection occurs, and they then continue to grow, forming a pupil-like lesion and killing the tiller before the host head sprouts (Sprague & Fellows 1934). Oculimacula spp. develop in the host and produce many conidia in spring and autumn. The conidia are spread by rain splash. Oculimacula also reproduce sexually, producing ascospores that can lead to more infections. There is a second pathway of dispersal for spores in that a few spores can be transmitted and infect new hosts through the air, but Foëx and Rosella (1930) indicated that this conclusion needs to be confirmed by further research. Oculimacula spp. overwinter on diseased plants, and in spring produce spores that infect the newly seeded host (Sprague & Fellows 1934, Murray 1996, Douhan et al. 2002).

Morphological-based identification: Oculimacula produces sessile ascomata that are gregarious, circular to lobate and are formed on a subiculum of white to dark brown hyphae that are linked to the substrate by a superficial mat of light brown substratum. The apothecia are grey with a pale grey margin, emarginate and flattened to convex when they reach maturity. The receptacle is cup-shaped and pale brown to grey-brown. The medullary excipulum is composed of multiseptate, hyaline hyphae. The ectal excipulum of thin-walled, dark brown, angular cells, becomes more elongated towards the margin. Filiform paraphyses have obtuse ends and are as long as the asci. Asci are 8-spored, clavate to subcylindrical or fusoid, with a short stalk and an apical pore that can be stained blue by Melzer's reagent. Ascospores are mostly straight, bi- to multiseriate, hyaline, smooth, aseptate, fusoid to subcylindrical or clavate with rounded ends (Crous et al. 2003, Marin-Felix et al. 2019b).

Molecular-based identification: Crous et al. (2003) established this genus by using ITS and LSU sequences. The phylogenetic analysis indicates that there are four species in this genus (including the asexual morph of Oculimacula). Johnston et al. (2014) treated Oculimacula to include the asexual morph, Helgardia, based on the principle of “One fungus one name”. Marin-Felix et al. (2019b) provided identification of genes from species to genus and species levels. Crous et al. (2021a) redefined Oculimacula based on ITS, tef, act, rpb1, rpb2, and LSU sequences. When combined with morphological features, this genus is restricted to two species, both of which are important wheat pathogens (Crous et al. 2021a, King et al. 2021). This study provides an updated phylogeny of Oculimacula based on combined ITS, LSU, act, rpb2 and tef sequence data (Fig. 26, Table 13).

Recommended genetic markers (genus level): LSU

Recommended genetic markers (species level): ITS, LSU, act, rpb2 and tef

Accepted number of species: two

Reference: Crous et al. (2021a) (morphology and phylogeny)

138. Phaeosphaeriopsis M.P.S. Câmara, M.E. Palm & A.W. Ramaley, in Câmara et al., Mycol. Res. 10(5): 51 (2003)

Fig. 25. Symptoms caused by Oculimacula sp. on wheat. a Eyespot lodging. b-c Eyespots. d Whiteheads of wheat. This picture is copyright of Pedro Crous (Marin-Felix et al. 2019b).
Fig. 26. Maximum likelihood tree of Oculimacula species based on the concatenated ITS, LSU, act, rpb2 and tef sequence data. The best scoring RAxML tree had a final likelihood value of -6423.795453. The tree was rooted with Rhynchobrunnera agropyri (CBS 146762). Estimated base frequencies were as follows: A = 0.245708, C = 0.247574, G = 0.253386, T = 0.253333; substitution rates AC = 1.294731, AG = 2.248453, AT = 1.136711, CG = 0.484296, CT = 6.594746, GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.
Table 13 DNA barcodes for accepted species of Oculimacula.
SpeciesStrainGenBank accession numbers
  ITSLSUactrpb2tef
Oculimacula acuformisCBS 495.80MH861289MW298379MW297203MW297374MG934497
O. acuformisATCC 60973AY266146N/AN/AN/AN/A
O. yallundaeCBS 128.31MG934457MW298401MW297224MW297395MG934499
O. yallundaeCBS 129.31MH855155MH866603MW297225MW297396N/A
O. yallundaeCBS 494.80JF412009MW298402N/AN/AMG934500
O. yallundaeCBS 110665MG934456MW298399MW297223MW297394MG934498

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A.

Type species: Phaeosphaeriopsis glaucopunctata (Grev.) M.P.S. Câmara, M.E. Palm & A.W. Ramaley

Classification: Dothideomycetes, Pleosporales, Phaeosphaeriaceae

Background: Phaeosphaeriopsis was established by Câmara et a l. (2003) to include several species which could not be categorized as Paraphaeosphaeria based on morphological characters and SSU molecular data. Câmara et al. (2003) transferred Paraphaeosphaeria agavensis, Pa. glauco-punctata, Pa. nolinae and Pa. obtusispora to Phaeosphaeriopsis and described a new species P. amblyspora. Phaeosphaeriopsis represents species that produce uni- or multi-loculate stromata, 4–5-septate, punctate or verrucose ascospores and have asexual morphs characterized by 0–3-septate, cylindrical, brown conidia or sometimes bacillar microconidia (Câmara et al. 2003, Phookamsak et al. 2014, Thambugala et al. 2014, Marin-Felix et al. 2019a).

Distribution: worldwide (Farr & Rossman 2025)

Disease symptoms: Phaeosphaeriopsis species can cause leaf spots and leaf on several hosts (Fig. 27). Phaeosphaeriopsis glauco-punctata has been reported as the causative agent (as “Paraphaeosphaeria glauco-punctata” in earlier studies) of leaf spot and necrosis on Ruscus (Camara et al. 2001). The symptoms are 2 mm wide, discoloured lesions that gradually develop into larger brown necrotic lesions. When infection is severe, these lesions coalesce and form large necrotic regions sometimes leading to leaf necrosis (Camara et al. 2001, Golzar & Wang 2012).

Hosts: Phaeosphaeriopsis glauco-punctata and Pa. triseptata have been reported on various Ruscus spp. from Europe. Phaeosphaeriopsis amblyspora was described from dead leaves of Yucca baccata (Câmara et al. 2003). Phaeosphaeriopsis agapanthi was isolated from Agapanthus precox. Phaeosphaeriopsis agavacearum and Pa. pseudoagavacearum have been reported from Agave sp. (Crous et al. 2016a, b). Phaeosphaeriopsis aloes and Pa. aloicola, were both recorded from leaves of Aloe sp. in the USA (Marin-Felix et al. 2019a). Phaeosphaeriopsis musae was associated with leaf spots on Musa sp. (Arzanlou and Crous 2006). Phaeosphaeriopsis dracaenicola was reported from Dracaena loureiroi in Thailand (Phookamsak et al. 2014), while Phaeosphaeriopsis grevilleae was collected on leaves of Grevillea sp. from Queensland, Australia (Marin-Felix et al. 2019a). Phaeosphaeriopsis beaucarneae was isolated from dead leaves of Beaucarnea recurvata (Tennakoon et al. 2020). Phaeosphaeriopsis omaniana, Pa. sansevieriae and Pa. triseptata were isolated from the leaves of Dracaena serrulata, Sansevieria hyacinthoides and Ruscus aculeatus, respectively (Thambugala et al. 2014, Al-Jaradi et al. 2020, Crous et al. 2021b, Farr & Rossman 2025).

Fig. 27. a Symptoms caused by Phaeosphaeriopsis sp. on Agapanthus precox. b Conidiomata sporulating on pine needle agar. c Conidiogenous cells giving rise to conidia. d Conidia. Scale bars: c-d = 10 µm. This picture is copyright of Pedro Crous (Crous et al. (2016b) and Marin-Felix et al. (2019a)).

Phaeosphaeriopsis consists mostly of saprobic species. However, Phaeosphaeriopsis glaucopunctata has been reported to cause leaf spot and necrosis in Ruscus aculeatus (Câmara et al. 2003, Golzar & Wang 2012). Phaeosphaeriopsis agapanthi on Agapanthus precox and P. dracaenicola on Dracaena lourieri have been associated with causing necrotic leaf spots on these hosts (Phookamsak et al. 2014, Crous et al. 2016a). Phaeosphaeriopsis musae is assumed to be a weak pathogen or secondary invader (Arzanlou & Crous 2006) as it has often been found associated with leaf lesions of Mycosphaerella fijiensis, Sphaerulina musae and Cordana musae. The first report of Pa. glaucopunctata causing leaf spot and foliage necrosis on Ruscus aculeatus in Australia was reported by Golzar & Wang (2012).

Pathogen biology, disease cycle and epidemiology: Many Phaeosphaeriopsis species are associated with leaf spots, blights, or necrotic lesions (Camara et al. 2001, Golzar & Wang 2012). Phaeosphaeriopsis are generally considered necrotrophic pathogens and they often affect stressed or senescing plant material (Phookamsak et al. 2014, Thambugala et al. 2014, Marin-Felix et al. 2019a). Phaeosphaeriopsis species release spores under moist conditions, which are spread by rain splash, wind, or mechanical means (van Niekerk et al. 2010). The disease cycle begins when spores land on susceptible plant surfaces and germinate under high humidity or prolonged leaf wetness. Infection often starts at the leaf margins or tips, especially where mechanical damage or stress is present (Adaskaveg et al. 2008, Gonçalves et al. 2013). Lesions typically expand during periods of wet weather, favouring rapid disease development. The fungus survives between growing seasons as saprobes on crop residues or in infected plant tissue (Adaskaveg et al. 2008, van Niekerk et al. 2010).

Morphological-based identification: Phaeosphaeriopsis species produce uni- or multi-loculate stromata, scattered, semi-immersed to erumpent, globose to subglobose, ostiolate ascomata, cylindrical to broadly fusoid or clavate asci and 4–5-septate, yellowish to light brown, verrucose ascospores. The asexual morph is coniothyrium-like or phaeostagonospora-like (Câmara et al. 2003, Quaedvlieg et al. 2013, Thambugala et al. 2014, Marin-Felix et al. 2019a). Morphologically, the conidia are similar to Paraphaeosphaeria species but can be distinguished based on the different number of septa in ascospores (4–5-septate conidia vs. 2-septate ascospores) and asexual morphs (Câmara et al. 2003). Only a few species have both sexual and asexual morphs e.g. Pa. beaucarneae isolated from Beaucarnea recurvata (Tennakoon et al. 2020). For species such as Pa. agapanthi, Pa. aloes, Pa. grevilleae, Pa. pseudoagavacearum, Pa. sansevieriae and Pa. triseptata, only the asexual morph is known and for example in Pa. aloicola and Pa. obtusispora only the sexual morph is known. The asexual morphs of Pa. amblyspora and Pa. agavensis produce hyaline, bacillar conidia from simple phialides. The asexual morphs of Pa. glauco-punctata, Pa. obtusispora, and Pa. nolinae produce brown conidia from percurrently proliferating conidiogenous cells. In Pa. nolinae, the conidia are 3-septate and in Pa. glauco-punctata often 1-septate, while those in Pa. obtusispora are usually aseptate (Câmara et al. 2003, Thambugala et al. 2014). Thambugala et al. (2014) suggested that it was unlikely that Pa. phacidiomorpha belonged to Phaeosphaeriopsis due to its different asci characters, hyaline ascospores and microsphaeropsis-like asexual morphs. This requires further investigation. Thus, Phaeosphaeriopsis is a genus that requires more collections in order to establish its taxonomic boundaries, sexual-asexual connections and diversity.

Molecular-based identification: Thambugala et al. (2014) accepted seven species in Phaeosphaeriopsis based on multi-gene analysis of LSU, SSU, ITS and rpb2 regions but excluded P. musae. However, in our phylogenetic analysis, the type strain of P. musae was included, and it grouped with other species of the genus. Marin-Felix et al. (2019a) accepted 15 species, including four new species in Phaeosphaeriopsis based on multi-gene analysis of ITS, LSU, rpb2, tef and tub2 genes.

Phaeosphaeriopsis pseudoagavacearum is closely related to Pa. agavacearum (Marin-Felix et al. 2019a) and both were recorded from Agave sp. However, Pa. aloes and Pa. aloicola, which were isolated from Aloe sp. are phylogenetically distant, with Pa. aloes more closely related to Pa. obtusispora and Pa. aloicola to Pa. agapanthi (Marin-Felix et al. 2019a). A similar result was also observed in our phylogenetic analysis. This study provides an updated phylogeny of Phaeosphaeriopsis based on combined ITS, LSU, rpb2 and tef sequence data (Fig. 28, Table 14).

Recommended genetic markers (genus level): LSU

Recommended genetic markers (species level): ITS, LSU, rpb2 and tef

Accepted number of species: 20

References: Câmara et al. (2003), Thambugala et al. (2014), Marin-Felix et al. (2019a), Sun et al. (2025) (morphology and phylogeny); Golzar & Wang (2012) (pathogenicity)

Table 14 GenBank accession numbers for accepted species of Phaeosphaeriopsis.
SpeciesStrainGenBank accession numbers
  ITSLSUrpb2tef
Phaeosphaeriopsis agapanthiCPC 26303KX228260KX228311MK540094MK540157
P. agavacearumCPC 29122KY173430KY173520KY173591MK540158
P. agavensisCBS 102206KY090635KY090669KY090685N/A
P. aloesCBS 145367MK539959MK540030MK540090MK540153
P. aloicolaCBS 145368MK539960MK540031MK540091MK540154
P. amblyosporaCBS 110131MH862851MH874443N/AN/A
P. beaucarneaeMFLU 18-2586MT321799MT321813N/AMT328756
P. dracaenicolaMFLUCC 11-0157KM434273KM434283KM434310KM434301
P. glaucopunctata#MFLUCC 13-0265KJ522473KJ522477N/AMG520918
P. grevilleaeCBS 145369MK539961MK540032MK540092MK540155
P. musaeCPC 11238DQ885894GU301862GU357748GU349037
P. nolinaeCBS 102205KY090637KY090667KY090686N/A
P. oblongisporaGUCC 24-0087PQ325281PQ578307N/AN/A
P. obtusisporaCBS 246.64KY090644JX681119KY090688N/A
P. omananaSQUCC:14333MT075840MT075849N/AN/A
P. phacidiomorphaCBS 198.35FJ462742AF275496N/AN/A
P. pseudoagavacearumCBS 145370MK539962MK540033MK540093MK540156
P. sansevieriaeCBS 146984MZ064438MZ064495MZ078204N/A
P. triseptataMFLUCC 13-0271KJ522475KJ522479KJ522485MG520919
P. yuccaeMFLUCC 16-0558KY554482KY554481N/AMG520920

Ex-type/ex-epitype strains are in bold. Sequences that are not available are represented by N/A. Species confirmed with pathogenicity studies are marked with #.

139. Phakopsora Dietel, Ber. Dtsch. Bot. Ges.13: 333 (1895)

Type species: Phakopsora punctiformis (Barclay & Dietel) Dietel

Classification: Pucciniomycetes, Pucciniales, Phakopsoraceae

Background: Phakopsora was proposed by Dietel (1895) with Phakopsora punctiformis as the type species. Phakopsora is commonly known to cause rust disease on soybeans. With 116 named species (Wijayawardene et al. 2020, 2022), Phakopsora has been reported to occur all over the world on more than 150 genera and 30 families of monocots and dicots (Cummins & Hiratsuka 2003). Asian soybean rust, a disease of global importance caused by these fungi proved their significance to be studied all across the globe. Apart from soybeans and other members of Fabaceae, these fungi also cause serious leaf rust diseases on grapevine and other vitaceous plants (Chatasiri & Ono 2008, Okane & Ono 2018), cotton (Gjaerum 1985), Eucalyptus (Maier et al. 2016) and many more agricultural, horticultural and forest plant hosts. Species of Phakopsora has become well known and widely studied globally; becoming a fungus of plant quarantine importance. Recently, this fungus has been reported from the western hemisphere for the first time. Although reported continuously from Asia for decades, its virulence on important soybean crops and first-time entry in this region poses a serious threat to these crops (Frederick 2002). These fungi, however, are distributed mostly in warmer regions of the world.

Distribution: Africa, Australia, Bangladesh, Bolivia, Brazil, Cameroon, China, Chile, Costa Rica, Ecuador, Eritrea, Ghana, India, Ivory Coast, Indonesia, Japan, Kenya, Madagascar, Myanmar, Namibia, Pakistan, Philippines, South Africa, Sudan, Tanzania, Tibet, Uganda, USA and Venezuela (Farr & Rossman 2025)

Host: on species of Alseis, Campomanesia, Desmodium, Dicotyledonae, Erythrina, Eucalyptus, Ficus, Glochidion, Grewia, Kirganelia, Kraunhia, Litsea, Loudetia, Mallotus, Melhania, Merremia, Myrtaceae, Odina, Pachyrhizus, Phyllanthus, Psoralea, Randia, Schrebera, Senna, Setaria, Sickingia, Sterculia, Stereospermum, Terminalia, Tiarella, Vernonia, Vitis (Farr & Rossman 2025).

Disease symptoms: Phakopsora is most commonly known to occur on soybeans and other members of Fabaceae (Fig. 29). The disease symptoms start as small tan or red-brown lesions mostly on the lower leaf surface in which pustules (Uredinia) are formed. Each small lesion often has several pustules (uredinia) which ultimately contain urediniospores. At the time of sporulation, the raised pustules (uredinia) can be seen. These small pustules turn into brown to brownish pustules (telia) with the progression of the disease. Most of the disease symptoms appear on leaves, but can also be seen on petioles, stems and even on cotyledons. However, the characteristics (symptoms and signs) of rust lesions/pustules (uredia and telia) of these fungi may differ slightly on different hosts.

Pathogen biology, disease cycle and epidemiology: Phakopsora pachyrhizi on Soybean, and Ph. gossypii on cotton, are economically important rust fungi. Soybean rust disease starts with the infection due to arrival of airborne inoculum (urediniospores). Phakopsora penetrates the leaf tissue directly through stomata, forming haustoria that extract nutrients and suppress host defences. The disease cycle is polycyclic, with multiple generations of urediniospores produced throughout the growing season, contributing to epidemics under conducive environmental conditions (Hartman et al. 2005). Many alternative hosts may act as sources of inoculum of this rust genus. Desmodium sp. (clover), Cassia occidentalis (coffee senna) and Macroptilium lathyroides are some alternative hosts of soybean rusts reported by Torres et al. (2012). The spores of these rust fungi are sensitive to ultraviolet radiations, the areas that experience chilling temperatures and frost may protect them from these radiations. In addition, storms may favour the long-distance movement of these rust spores (Rupe & Sconyers 2008).

Morphological-based identification: Morphological and microscopic studies of Phakopsora spp. shows that these fungi have subcuticular, Group IV (type 7) spermogonia. This genus produces subepidermal, erumpent aecia which are of Calidion-type or Milesia-type. The aeciospores are similar to urediniospores and borne singly. Uredinia are sub-epidermal, erumpent, with or without paraphyses. In cases, with peripheral, surmounting peridial tissue, uredinia are of Malupa- and Calidion-type, while Uredo-type are without paraphyses. Urediniospores are brownish or nearly colourless with scattered and equatorial pores, echinulate and borne singly. Telia are sub-epidermal, form coverings of 2 or more cells deep, laterally supportive to teliospores. Teliospores are 1-celled with brown or brownish walls, without stalk (sessile), borne in chain (catenulate) or arranged irregularly. Teliospores contain single apical germ pores and

Fig. 28. Maximum likelihood tree of Phaeosphaeriopsis species based on the concatenated ITS, LSU, rpb2 and tef sequence data. The best scoring RAxML tree had a final likelihood value of -125.662246. The tree was rooted to Neosetophoma samarorum (CBS 138.96). Estimated base frequencies were as follows: A = 0.245606, C = 0.2343, G = 0.26123, T = 0.254233; substitution rates AC = 1.356002, AG = 3.20, AT = 1.2506, CG = 0.3613, CT = .31121, GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Type strains are in bold. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.
Fig. 29. Phakopsora sp. on Glycine max (Soybean). a Infected leaves of Soybean with Phakopsora sp., b-e Infected host plant with rust sori at various stages of infection. This picture is copyright of Ajay Kumar Gautam, Shubhi Avasthi and Rajnish Kumar Verma.

germinate generally after the dormancy period. These fungi comprise external basidia (Cummins and Hiratsuka 2003).

Molecular-based identification: The molecular studies of Phakopsora using different gene loci have been carried out. Two closely related species of Phakopsora viz. Ph. pachyrhizi and Ph. meibomiae reported to cause soybean rust, were identified using nucleotide sequence of the internally transcribed spacer (ITS) region (Frederick et al. 2002). The molecular analyses of 45 collections (44 with ITS2 and 33 with D1/D2 sequences, 32 common in both ITS and D1/D2 sequences analyses) of heteroecious Ph. euvitis, Ph. vitis, and Ph. ampelopsidis, autoecious Ph. meliosmae grouped them into seven clades (Chatasiri & Ono 2008). The analysis of the mitochondrial (mt) genomes of Ph. pachyrhizi and Ph. meibomiae was carried out by Stone et al. (2010). The circular mt genome of both species consists of 31,825 base pair with a mean GC content of 34.6% in Ph. pachyrhizi compared to 32,520 base pair with a mean GC content of 34.9% in Ph. meibomiae. Phylogenetic analysis of 14 protein-coding genes in mt genomes of both species of Phakopsora confirmed their taxonomic identity (Stone et al. 2010). Analysis of the 28S ribosomal DNA, specifically D1/D2 domains of a group of 40 rust fungi collected from diverse plants in the Colombian Andean region supported the validity of rust families like Pucciniaceae, Phragmidiaceae, Pileolariaceae, Mikronegeriaceae, Coleosporiaceae, Cronartiaceae including Phakopsoraceae (Zuluaga et al. 2011). A rust disease on Asian Soybean was analyzed for the identification of the pathogen based on sequence data, and BLAST searches of the ITS region. The results of molecular analyses along with morphological characters identified the pathogen as Phakopsora pachyrhizi (de Jensen et al. 2013). Rust fungi on the plant genus Annona (Annonaceae) with special reference to genus Phakopsora were investigated morphologically and using DNA sequences. The phylogenetic analyses based on the ITS1–5.8S–ITS2 region, partial LSU and SSU of the nuclear rDNA, and the mitochondrial cytochrome oxidase subunit 3 revealed that the genus Batistopsora is a synonym of Phakopsora and was described as new species of Phakopsora i.e. Ph. annonae-sylvaticae (Beenken 2014). A rust pathogen of eucalyptus plantations and nurseries in Kenya was identified using morphological and molecular data based on ITS and LSU rDNA. After systematic evaluation, the rust pathogen was identified as Phakopsora myrtacearum (Maier et al. 2016). A large number of intraspecific and intragenomic variations in the ITS region of Phakopsora pachyrhizi was detected by Rush et al. (2019). They detected polymorphic copies of ITS within single leaf samples and even within single rust sori. This study raises caution about the use of multicopy genes (e.g., ITS) in single-gene detection assays. A recent study carried out by Aime et al. (2019) on the molecular phylogenetic analysis of Phakopsora revealed that Ph. pachyrhizi and the closely related Ph. meibomiae cluster in a monophyletic clade with other economically important species of Phakopsora, such as Ph. myrtacearum, Ph. ampelopsidis and Ph. euvitis. They also proposed to conserve Phakopsora with the new type, Ph. pachyrhizi, the causal organism of the globally important disease Asian soybean rust. Recently, fresh or herbarium material of Phakopsora spp. (Ph. crucis-filii, Ph. fici and Ph. pachyrhizi) was examined for morpho-taxonomic analysis. Three gene loci (LSU, SSU, and cox) extracted from sample material were sequenced and analyzed phylogenetically which provided a better understanding in resolving an updated higher-rank classification for Pucciniales (Aime & McTaggart 2020). The genus has 116 accepted species based on morpho-taxonomy (Wijayawardene et al. 2020, 2022). However, sequence data is available only for 14 species of Phakopsora with ITS and LSU gene loci more commonly used in phylogenetic analyses. Similarly, Gautam et al. (2021) included seven species of Phakopsora in the phylogenetic analyses of Indian Pucciniales based on ITS and LSU gene regions of rDNA. This study provides an updated phylogeny of Phakopsora based on combined LSU and ITS sequence data (Fig. 30, Table 15).

Recommended genetic marker (genus level): ITS

Recommended genetic marker (species level): ITS, LSU

Accepted number of species: 116

References: Frederick et al. (2002), Chatasiri & Ono (2008), Stone et al. (2010), Zuluaga et al. (2011), de Jensen et al. (2013), Beenken (2014), Liu et al. (2015), Maier et al. (2016), Rush et al. (2019), Aime & McTaggart (2020), Crous et al. (2024), Sun et al. (2024) (morphology and phylogeny)

Fig. 30. Maximum likelihood tree of Phakopsora species based on the concatenated LSU and ITS sequence data. The best scoring RAxML tree had a final likelihood value of -8012.311729. The tree was rooted to Ochropsora ariae (KR-M-43444). Estimated base frequencies were as follows: A = 0.309790, C = 0.158926, G = 0.226227, and T = 0.305058; substitution rates AC = 1.138546, AG = 3.284213, AT = 2.829326, CG = 0.442988, CT = 5.536758, and GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Type strains are in bold. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.
Table 15 DNA barcodes for accepted species of Phakopsora.
SpeciesStrainGenBank accession numbers
  ITSLSU
Phakopsora argentinensis82KF528009KF528009
Ph. causonidis-molliisHGUP21112OR462111OR462116
Ph. cingensBRIP55628N/AKP729474
Ph. cocaN3134HQ317532HQ317532
Ph. crotonisMCA 3227MH790110MH790110
Ph. ericksoniaeBRIP 60953aN/APP800293
Ph. hushiuyingiaeBRIP 61219aN/APP800294
Ph. jatrophicolaBPI 842272N/AKY764076
Ph. meibomiaeR188N/AEU851164
Ph. myrtacearumPREM61155NR_132913NG_060142
Ph. parthenocissi-tricuspidataeHGUP21115OR462114N/A
Ph. phyllanthi83KF528025KF528025
Ph. rolliniae159KF528036KF528036
Ph. sageretiaeBRIP 58407aN/APP973746
Ph. sophoraeHMAS350010MK488221MK518529

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A.

140. Pleiocarpon L. Lombard & D. Aiello, in Aiello et al., IMA Fungus 8(1): 73 (2017)

Type species: Pleiocarpon strelitziae L. Lombard & D. Aiello

Classification: Sordariomycetes, Hypocreales, Nectriaceae

Background: Pleiocarpon was introduced by Aiello et al. (2017). Pleiocarpon was established to accommodate Pl. strelitziae, which causes a severe basal rot disease in Strelitzia reginae. The genus is known for its distinctive ascomata and spore structures. Pleiocarpon species have been isolated from decaying plant material or soil, suggesting a possible role in decomposition or plant interactions (Aigoun-Mouhous et al. 2019). Further studies are needed to understand the host range and distribution of Pleiocarpon.

Distribution: Algeria, French Guiana, Italy and Sri Lanka (Farr & Rossman 2025)

Disease symptoms: Pleiocarpon are primarily associated with root and basal stem infections, often leading to rot, wilting, and plant death in both ornamental and agricultural hosts (Aiello et al. 2017, Aigoun-Mouhous et al. 2019, Fig. 31). Infected plants typically exhibit wilting, yellowing, and progressive necrosis at the base of the stem and roots, ultimately collapsing and dying within a few weeks. In peony (Paeonia suffruticosa), Pleiocarpon algeriense was associated with root discoloration, decay, and growth decline, while in palms (Livistona rotundifolia) and avocado (Persea americana), infections were linked to crown rot, often accompanied by internal tissue browning and reduced vigor (Aiello et al. 2020, Ni et al. 2023). These symptoms are similar to those caused by other soilborne pathogens such as Ilyonectria or Cylindrocladiella (Aiello et al. 2020), highlighting the importance of accurate identification.

Hosts: Pleiocarpon has been reported from a number of ornamental and economically important plants (Farr & Rossman 2025). The species are capable of infecting a diverse group of monocot and dicot hosts, indicating its potential as a broad-spectrum plant pathogen (Aiello et al. 2017, 2020, Aigoun-Mouhous et al. 2019, Lechat & Fournier 2019).

Pathogen biology, disease cycle and epidemiology: The disease cycle of Pleiocarpon is not well understood due to its relatively recent classification and limited number of described species (Aigoun-Mouhous et al. 2019). Pleiocarpon species behave as typical soilborne pathogens, infecting plants through the roots or basal stem tissues, particularly under moist and warm environmental conditions (Capote et al. 2022). The fungi produce macroconidia and microconidia, which serve as primary inoculum and are likely dispersed through contaminated soil, water, or infected planting material (Aiello et al. 2017). Once inside the host, the pathogen colonizes vascular and cortical tissues, leading to rot, vascular discoloration, and eventual plant death. Pleiocarpon may survive in the soil or plant debris as chlamydospores or persistent mycelium, acting as overwintering structures similar to other members of Nectriaceae (Lombard et al. 2015).

Morphological-based identification: Pleiocarpon has cylindrocarpon-like asexual morph which is typical of Neonectria sensu lato (Aiello et al. 2017, 2020). Colonies typically grow slowly on standard media and produce both macroconidia and microconidia, a distinguishing feature. The macroconidia are hyaline, straight or slightly curved, multiseptate and cylindrical with rounded ends (Aigoun-Mouhous et al. 2019). Microconidia are abundant, aseptate, and typically ellipsoidal to ovoid. The high production of microconidia distinguishes Pleiocarpon from the closely related genus Thelonectria, which rarely produce microconidia and often have larger macroconidia with more septa (Salgado-Salazar et al. 2016). The sexual morph has red to orange ascomata that turn purple in potassium hydroxide. Due to overlapping features with other genera in Nectriaceae, phylogenetic analyses coupled with morphology is recommended for accurate species identification (Lombard et al. 2015).

Molecular-based identification: The genus was established by Aiello et al. (2017) through phylogenetic analysis using ITS, LSU, tef, tub2, his3, and rpb2 sequences. Aiello et al. (2020) introduced Pleiocarpon algeriense from avocado trees in Italy. Aigoun-Mouhous et al. (2019) reported Pl. algeriense in Algerian grapevine nurseries, supporting its wider distribution and host range. Lechat & Fournier (2019) described Pl. gardiennetii from dead pyrenolichen, Astrothelium sp. in French Guiana. Further studies are needed using broader taxon sampling, especially from underexplored habitats to better understand the diversity, ecological role, and evolutionary significance of Pleiocarpon. This study provides an updated phylogeny of Pleiocarpon based on combined ITS, LSU, his3, rpb2, tef and tub2 sequence data (Fig. 32, Table 16). Pleiocarpon gardiennetii is excluded from our analysis as only the ITS region is available which cannot be used for accurate species identification.

Recommended genetic marker (genus level): LSU

Recommended genetic markers (species level): ITS, LSU, his3, rpb2, tef and tub2

Accepted number of species: three

References: Aiello et al. (2017, 2020), Aigoun-Mouhous et al. (2019), Lechat and Fournier (2019), Ni et al. (2023) (morphology and phylogeny)

Fig. 31. a-b Symptoms caused by Pleiocarpon sp. on Strelitzia reginae. c-e Basal rot and wilting. This picture is copyright of Pedro Crous (Aiello et al. (2017) and Marin-Felix et al. (2019a)).
Table 16 DNA barcodes of accepted Peliocarpon.
SpeciesStrainGenBank accession numbers
  ITSLSUhis3rpb2teftub2
Pleiocarpon algeriense#CBS 144964MH587320MH587321MH587296MH587322MH587323MH587324
Pl. livistonaeCBS 145030MK539963N/AMK540234MK540095MK540165MK540179
Pl. strelitziae#CBS 142251KY304644KY304672KY304616KY304697KY304722KY304750

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A. Species confirmed with pathogenicity studies are marked with #.

141. Pseudopestalotiopsis Maharachch., K.D. Hyde & Crous 2014

Type species: Pseudopestalotiopsis theae (Sawada) Maharachch., K.D. Hyde & Crous

Classification: Sordariomycetes, Amphisphaeriales, Sporocadaceae

Background: Pseudopestalotiopsis was introduced by Maharachchikumbura et al. (2014b) with Pseudopestalotiopsis theae as the type species. Pseudopestalotiopsis is characterized by having brown to dark brown or olivaceous median cells, with or without knobbed apical appendages (Maharachchikumbura et al. 2014b, 2016). Pseudopestalotiopsis species have mainly been recorded as plant pathogens on various hosts (Liu et al. 2017, Nozawa et al. 2017, Chen et al. 2018, Heng et al. 2025). Pseudopestalotiopsis theae is an economically significant pathogen that reduces the yield of tea worldwide (Maharachchikumbura et al. 2011, 2013a, b, 2016). Various secondary metabolites have

Fig. 32. Maximum likelihood tree of Pleiocarpon and selected genera in Nectriaceae based on the concatenated ITS, LSU, his3, rpb2, tef and tub2 sequence data. The best scoring RAxML tree had a final likelihood value of -12394.429. The tree was rooted with Pyrenophora avenicola (CBS 307.84) and Pyrenophora biseptata (CBS 307.69). Estimated base frequencies were as follows: A = 0.250, C = 0.250, G = 0.250, T = 0.250; substitution rates AC = 1.34435, AG = 2.17858, AT = 1.34435, CG = 1.00000, CT = 5.46713, GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Type strains are in bold. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.

been reported from Pseudopestalotiopsis including antitumour, antifungal, antimicrobial and other activities (Ding et al. 2008, Maharachchikumbura et al. 2011, 2016).

Distribution: Brazil, China, India, Indonesia, Italy, Malaysia, Myanmar, Thailand and Vietnam (Maharachchikumbura et al. 2016, Jayawardena et al. 2018, Farr & Rossman 2025)

Disease symptoms: Pseudopestalotiopsis species are known to cause a range of disease symptoms primarily on leaves, fruits, and stems of various host plants (Maharachchikumbura et al. 2016, Tsai et al. 2018, Shahriar et al. 2022, Heng et al. 2025, Fig. 33). Infected plants typically exhibit leaf spots that start as small, water-soaked lesions which gradually enlarge and turn necrotic with irregular brown or black margins. These spots may coalesce, leading to extensive blighting and premature leaf drop, which can significantly reduce photosynthetic capacity (Norphanphoun et al. 2019, Heng et al. 2025). On fruits, infection often results in soft rot or sunken lesions, sometimes covered with fungal fruiting bodies or spores, leading to decay and post-harvest losses. Pseudopestalotiopsis theae causes grey blight in tea (Maharachchikumbura et al. 2016, Shahriar et al. 2022). The pathogen initially causes circular to irregular leaf spots that turn grey with brown margins when mature, covering up to half of the leaf with acervuli (Maharachchikumbura et al. 2016). Pseudopestalotiopsis ixorae and P. taiwanensis cause leaf spot which are initially small, circular, ash-coloured spots which later turn into brown spots (Tsai et al. 2018).

Hosts: Acacia sp., Averrhoa carambola, Avicennia marina, Camellia sp., Celtis sinensis, Cinnamomum sp., Cocos nucifera, Cycas revoluta, Diospyros crassiflora, Elaeis guineensis, Fragaria sp., Hibiscus rosa-sinensis, Holarrhena antidysenterica, Indocalamus tessellatus, Ixora sp., Kandelia obovata, Litsea verticillata, Macaranga sp., Mangifera indica, Pandanus odoratissimus, Pharus latifolius, Phoenix dactylifera, Podocarpus macrophyllus, Prunus sp., Rhizophora sp., Terminalia arjuna, Thea sinensis and Vitis sp. (Farr & Rossman 2025)

Pathogen biology, disease cycle and epidemiology: Pseudopestalotiopsis species are characterized by their production of multicellular conidia with distinctive appendages, which aid in dispersal (Maharachchikumbura et al. 2016, Tsai et al. 2018). They survive in plant debris, soil, and infected plant tissues, serving as inoculum sources for new infections. The disease cycle typically begins when conidia are dispersed by wind or water splashes to susceptible plant parts, where they germinate under favourable conditions (Shu et al. 2020). The pathogen penetrates host tissues either directly or through natural openings and wounds, leading to symptom development. Pseudopestalotiopsis species thrives in tropical and subtropical climates where warm, moist conditions prevail, facilitating rapid disease spread (Heng et al. 2025).

Morphological-based identification: Neopestalotiopsis, Pestalotiopsis and Pseudopestalotiopsis have similar conidia comprising five cells, including three pigmented median cells, an apical hyaline cell with one or many appendages, and a basal cell with one appendage (Maharachchikumbura et al. 2014b, 2016). These three genera can be distinguished based on variations in the color of the three pigmented cells in the conidia (Steyaert 1949, Nag Raj 1993, Maharachchikumbura et al. 2011, 2012, 2014b). Pseudopestalotiopsis can be distinguished from Neopestalotiopsis and Pestalotiopsis by its dark concolourous median cells with indistinct conidiophores (Maharachchikumbura et al. 2014b, 2016). While morphological traits provide valuable preliminary identification, they can often overlap among taxa, making accurate identification based solely on morphology challenging.

Molecular-based identification: Molecular data is vital to identify different pestalotioid species (Maharachchikumbura et al. 2014b, 2016). The ITS sequence alone lacks resolution at the species level within Pseudopestalotiopsis. Therefore, it is recommended to use a multi-locus dataset of ITS, tub2 and tef for better resolution as compared to single gene phylogeny (Maharachchikumbura et al. 2012). Phylogenetic analyses based on multi-locus data sets have revealed cryptic Pseudopestalotiopsis species in several studies (Liu et al. 2017, Norphanphoun et al. 2019, Monkai et al. 2025). This study provides an updated phylogeny of Pseudopestalotiopsis based on combined ITS, tub2 and tef sequence data (Fig. 34, Table 17).

Recommended genetic markers (genus level): LSU

Recommended genetic markers (species level): ITS, tub2 and tef

Accepted number of species: 32

References: Maharachchikumbura et al. (2013a, b), (2014b), (2016b), Tsai et al. (2018), Shahriar et al. (2022), Weerasekara et al. (2024), Heng et al. (2025) (morphology and phylogeny)

Fig. 33. Symptoms caused by Pseudopestalotiopsis sp. a Leaf spots on Rhizophora apiculata. b-e Leaf spots on Rhizophora mucronata. This picture is copyright of Chada Norphanphoun (Norphanphoun et al. 2019).
Fig. 34. Maximum likelihood tree of Pseudopestalotiopsis species based on the concatenated ITS, tub2 and tef sequence data. The best scoring RAxML tree had a final likelihood value of -4938.689. The tree was rooted to Neopestalotiopsis natalensis (CBS 138.41) and N. steyaertii (IMI 192475). Estimated base frequencies were as follows: A = 0.230000, C = 0.279283, G = 0.206189, and T = 0.284528; substitution rates AC = 1.035460, AG = 2.28890, AT = 2.139899, CG =0.975180, CT = 4.74831, and GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Type strains are in bold. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.
Table 17 DNA barcodes of accepted Pseudopestalotiopsis.
SpeciesStrainGenBank accession numbers
  ITStub2tef
Pseudopestalotiopsis ampullaceaLC6618KX895025KX895358KX895244
Ps. annellataNTUCC 17-030MT322087MT321889MT321988
Ps. avicenniaeMFLUCC 17-0434MK764287MK764353MK764331
Ps. camelliae-sinensisLC3490KX894985KX895316KX895202
Ps. celtidisGUCC 21599OL423535OL439010OL439012
Ps. chinensisLC3011KX894937KX895269KX895154
Ps. cocosCBS 272.29KM199378KM199467KM199553
Ps. curvatisporaMFLUCC 17-1722MK764288MK764354MK764332
Ps. daweianaMM14-F0015LC324750LC324751LC324752
Ps. elaeidisCBS 413.62MH554044MH554720MH554479
Ps. gilvanii#INPA 2913MN385951MN385954MN385957
Ps. hydeiNTUCC 17-003.1MG816313MG816323MG816333
Ps. ignotaNN 42909KU500020N/AKU500016
Ps. indicaCBS 459.78KM199381KM199470KM199560
Ps. indocalamiGUCC 21600OL423536OL439011OL439013
Ps. iteaeKUNCC 24-18921PQ521230PQ560703PQ529181
Ps. ixorae#NTUCC 17-001.1MG816316MG816326MG816336
Ps. kawthaunginaMM14-F0083LC324753LC324754LC324755
Ps. kubahensisUMAS KUB-P20KT006749N/AN/A
Ps. myanmarinaNBRC 112264LC114025LC114045LC114065
Ps. petchii#USJCC-0159PP077199PP196144PP263678
Ps. ratnapurensis#USJCC-0157PP077191PP196136PP263671
Ps. rhizophoraeMFLUCC 17-1560MK764291MK764357MK764335
Ps. rossmaniae#USJCC-0158PP077196PP196141PP263676
Ps. simitheaeMFLUCC 12-0121KJ503812KJ503815KJ503818
Ps. solicolaCBS 386.97MH554039MH554715MH554474
Ps. srilankensis#USJCC-0160PP077203PP196148PP263682
Ps. taiwanensis#NTUCC 17-002.1MG816319MG816329MG816339
Ps. thailandicaMFLUCC 17-1724MK764292MK764358MK764336
Ps. theaeMFLUCC 12-0055JQ683727JQ683711JQ683743
Ps. vietnamensisNBRC 112252LC114034LC114054LC114074
Ps. zhangzhouensisCGMCC 3.28547PQ681341PQ687600PQ687594

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A. Species confirmed with pathogenicity studies are marked with #.

142. Pseudogymnoascus Raillo, Centbl. Bakt. ParasitKde, Abt. II 78: 520 (1929)

Type species: Pseudogymnoascus vinaceus Raillo

Classification: Leotiomycetes, Thelebolales, Pseudeurotiaceae

Background: Pseudogymnoascus is a psychrophilic genus, known for its adaptation to cold environments (Lorch et al. 2013, Carvalho et al. 2019, Hoyt et al. 2021). The sexual morph of Pseudogymnoascus is characterized by the production of gymnothecial ascocarps containing sub-spherical to spherical asci (Raillo 1929, Rice & Currah 2006, Minnis & Lindner 2013). The genus was originally classified in Myxotrichaceae based on morphology, but phylogenetic analyses have since shown that Pseudogymnoascus is not related to the family (Currah 1985, Wang et al. 2006, Lorch et al. 2013). Pseudogymnoascus drew significant scientific interest, when the newly emerging disease, white-nose syndrome (WNS) began devastating bat populations in North America (Minnis & Lindner 2013, Hoyt et al. 2021, Villanueva et al. 2021). The causal agent of WNS was initially identified as Geomyces destructans, but was later reclassified as Pseudogymnoascus destructans based on molecular evidence as it is distinct from Geomyces (Gargas et al. 2009, Lorch et al 2011, Minnis & Lindner 2013).

Distribution: Pseudogymnoascus species have a global distribution, with a strong affinity for cold and temperate regions, particularly those with subterranean or low-temperature habitats (Rice & Currah 2006, Villanueva et al. 2021, Childress et al. 2025, Farr & Rossman 2025). They are commonly found in caves, soils, permafrost, and other cryoenvironments, where their psychrophilic nature allows them to thrive. Members have been isolated from various continents, including North America, Europe, Asia, and Antarctica, indicating their wide ecological amplitude and adaptability to harsh conditions (Rice & Currah 2006, Villanueva et al. 2021, Childress et al. 2025). Their presence in both natural ecosystems and anthropogenically influenced environments (e.g., mines and artificial caves) suggests that Pseudogymnoascus species are well-adapted generalists within cold ecosystems, capable of both saprobic and pathogenic lifestyles (Rice & Currah 2006, Veselská et al. 2020, Childress et al. 2025).

Disease symptoms: The most well-known disease symptoms associated with Pseudogymnoascus, specifically Pseudogymnoascus destructans, are observed in bats affected by WNS. Infected bats typically exhibit a white, powdery growth on the muzzle, ears, and wings (Meteyer et al. 2009, Forsythe et al. 2021, Childress et al. 2025). Affected bats often show abnormal behaviours during hibernation, such as premature emergence from hibernacula, and daytime activity in freezing temperatures, all of which contribute to fat reserve depletion and eventual death (Zukal et al. 2017, Fritze et al. 2021). Pseudogymnoascus destructans does not cause immediate death through systemic infection, however, its impact is physiological, weakening the host over time (Zukal et al. 2017, Fritze et al. 2021).

Hosts: Pseudogymnoascus are ecologically diverse, having been isolated from a wide range of substrates, including soil, rocks, caves, bat hibernacula, and even decomposing meat (Lorch et al. 2013, Minnis & Lindner 2013, Carvalho et al. 2019, Crous et al. 2019, 2020, Urbina et al. 2021). The species have also been isolated from a wide range of hosts including Picea abies, Triticum aestivum and Vitis sp. (Kwasna & Bateman 2008, Mułenko et al. 2008, Childress et al. 2025).

Pathogen biology, disease cycle and epidemiology: Pseudogymnoascus, particularly Pse. destructans, exhibits a unique pathogen biology closely tied to its psychrophilic nature and the hibernation biology of bats (Lorch et al. 2013, Carvalho et al. 2019, Hoyt et al. 2021). Pseudogymnoascus destructans grows optimally at 4–15 °C and it infects bats during hibernation, when their body temperatures drop and immune responses are suppressed (Donaldson et al. 2018, Campbell et al. 2020). Pseudogymnoascus invades the skin tissues of the wings, leading to ulceration, necrosis, and disruption of physiological functions such as water balance and thermoregulation (Veselská et al. 2020, Hoyt et al. 2021). The disease cycle begins when bats enter hibernation sites already contaminated with fungal spores or come into contact with infected individuals (Veselská et al. 2020, Hoyt et al. 2021). Spores adhere to the skin, germinate, and slowly invade tissues over weeks. Upon death or emergence from hibernation, the fungus persists in the environment, surviving as conidia or hyphal fragments on cave surfaces or in organic debris. Human-mediated movement of spores is also a potential vector (Ballmann et al. 2017).

Morphological-based identification: The colonies of Pseudogymnoascus typically exhibit slow growth and appear white to greyish, with a powdery to velvety texture, often developing a yellowish or tan pigmentation over time (Forsythe et al. 2021, Villanueva et al. 2021). Species produce hyaline to lightly pigmented, septate hyphae, and conidia that are typically unicellular, hyaline, and ellipsoidal to cylindrical in shape, often formed singly or in short chains (Rice & Currah 2006, Villanueva et al. 2021, Fig. 35). The genus is also known for producing gymnothecial ascocarps with loosely woven fruiting bodies that contain sub-spherical to spherical asci, each bearing eight ascospores. These sexual characters were part of the basis for the classification by Raillo (1929). However, morphological features alone are insufficient for distinguishing Pseudogymnoascus from related genera like Geomyces, due to overlapping characteristics (Samson 1972, Rice & Currah 2006, Minnis & Lindner 2013). Therefore, molecular data is are used for accurate species-level identification.

Molecular-based identification: Several Pseudogymnoascus species have been introduced based primarily on morphological characters (Villanueva et al. 2021). A number of different markers have been used in the molecular analyses of Pseudogymnoascus species (Gargas et al. 2009, Minnis & Lindner 2013, Luo et al. 2016). Rice & Currah (2006) performed the first polyphasic study using ITS region and described the new species Pse. appendiculatus and Pse. verrucosus. Gargas et al. (2009) described Pse. destructans using ITS and SSU sequences. Minnis & Lindner (2013) employed multi-locus phylogenetic analysis using ITS, LSU, mcm7, rpb2 and tef sequences and transfered several species into Pseudogymnoascus. Crous et al. (2019) described Pse. lindneri and Pse. turneri while Crous et al. (2020) identified Pse. palmeri using ITS, rpb2 and tef sequences. Several new species were also introduced using ITS, LSU, rpb2, mcm7, and tef sequences (Zhang et al. 2020, Villanueva et al. 2021). This study provides an updated phylogeny of Pseudogymnoascus based on combined ITS, LSU, mcm7, rpb2 and tef sequence data (Fig. 36, Table 18). Pseudogymnoascus guiyangensis was not included in the phylogeny as it only has the ITS region (Luo et al. 2016), which can be used for generic placement only.

Recommended genetic markers (genus level): ITS

Recommended genetic markers (species level): ITS, LSU, mcm7, rpb2 and tef

Accepted number of species: 28

References: Rice and Currah (2006), Gargas et al. (2009), Lorch et al (2011), Minnis and Lindner (2013), Crous et al. (2020), Villanueva et al. (2021), Childress et al. (2025) (morphology and phylogeny)

143. Pyrenophora Fr., Summa veg. Scand., Sectio Post. (Stockholm): 397 (1849)

Fig. 35. Pseudogymnoascus sp. a-f Conidiophores and conidia. g Conidia. Scale bars: a-g = 10 µm. This picture is copyright of Yan-Feng Han (Zhang et al. 2021b).

Type species: Pyrenophora phaeocomes (Rebent.) Fr.

Classification: Dothideomycetes, Pleosporales, Pleosporaceae

Background: Pyrenophora phaeocomes, the type species of Pyrenophora, was introduced as Sphaeria phaeocomes by Rebentisch (1804) and was placed in Xylariaceae. Fries (1849) reclassified the genus as Pyrenophora within Pleosporales. Wehmeyer (1961) dealt with the genera Pleospora, Platyspora, Clathrospora, and Pyrenophora, and placed Pyrenophora in Pleosporaceae, a placement confirmed by further studies (Berbee 1996, Hyde et al. 2013). Pyrenophora includes pathogens, saprobes, and endophytes in terrestrial habitats with a worldwide distribution (Balance et al. 1996, Zhang & Berbee 2001, Leisova 2005, Liu et al. 2011, Abdullah et al. 2017). Pyrenophora teres, Py. graminea and Py. tritici-repenti are serious plant pathogens of grasses, especially barley, wheat, and oats. Infected leaves turn yellow or the whole plant may die, resulting in reduced yield and economic losses (Shabeer & Bockus 1988, Bankina & Priekule 2011, Liu et al. 2011, Ariyawansa et al. 2014, Abdullah et al. 2017). Pyrenophora species have potential in biological control, for example, pyrenophoric acid was isolated from Py. semeniperda, and can be a mycoherbicide for biocontrol of cheatgrass and other annual bromes (Ariyawansa et al. 2014).

Pyrenophora was linked to the asexual morphs in Drechslera, which was confirmed by Zhang and Berbee (2001). Based on muti-gene phylogenetic analyses, Ariyawansa et al. (2014) synonymised Drechslera under Pyrenophora. The asexual morph of Pyrenophora is similar to Bipolaris, Curvularia and Setosphaeria, the sexual morph resembles Clathrospora and Platyspora (Zhang & Berbee 2001, Ariyawansa et al. 2014, Marin-Felix et al. 2019a). To better distinguish these genera, multi-gene data are essential for analysis, with LSU, ITS, gapdh sequences (Ariyawansa et al. 2014). Marin-Felix et al. (2019a) reanalyzed the genus using ITS, gapdh and rpb2 genes.

Distribution: worldwide (Farr & Rossman 2025)

Disease symptoms: Pyrenophora species cause various symptoms including leaf blight, yellow leaf blotch, leaf spot, leaf stripe, tan spot, seedling blight (Fig. 37). For example, Py. teres causes net blotch on barley (Friis et al. 1991, Liu et al. 2011). Pyrenophora graminea causes barley stripe (Mathre 1997, Mokrani et al. 2012) and Py. tritici-repentis is a necrotrophic pathogen causing tan spot (Aboukhaddour et al.

Fig. 36. Posterior probabilities of Pseudogymnoascus species based on the concatenated ITS, LSU, mcm7, rpb2 and tef sequence data. The best scoring RAxML tree had a final likelihood value of -14600.702. The tree was rooted with Geomyces auratus (CBS 108.14) and Geomyces obovatus (CGMCC 3.18491). Estimated base frequencies were as follows: A = 0.250, C = 0.250, G = 0.250, T = 0.250; substitution rates AC = 1.00000, AG = 4.01339, AT = 1.00000, CG = 1.00000, CT = 6.14273, GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Type strains are in bold. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.

2013, Abdullah et al. 2017). Pyrenophora seminiperda is a minor pathogen that causes leaf spots on many graminicolous hosts, while Py. avenae causes seedling blight of oats (Ariyawansa et al. 2014). Initial leaf lesions are yellow to brown spots that expand to larger irregular shapes, including stripes, spots, and blotch, which eventually dry out and cause leaf shedding or leaf death. Under favourable conditions, conidia are produced which may infect the head/spikes causing grey or brownish glumes (Liu et al. 2011, Aboukhaddour et al. 2013, Ariyawansa et al. 2014).

Hosts: Poaceae (especially barley, oats, and wheat) and Proteaceae (Farr & Rossman 2025)

Pathogen biology, disease cycle and epidemiology: The conidia and ascospores of the pathogen require specific temperature, relative humidity, and leaf wetness for dispersal and germination. They produce lesions on leaf surfaces following infection from appressorium and an infection peg. Spores can also infect plants in neighbouring fields serving as primary inoculum spread by wind and rain, creating a polycyclic disease cycle (Liu et al. 2011).

Morphological-based identification: Drechslera is the asexual morph of Pyrenophora and they clustered together in phylogenetic analyses (Zhang & Berbee 2001, Ariyawansa et al. 2014). In accordance with the ‘‘One Fungus, one name’’ concept, the sexual name Pyrenophora was protected over Drechslera. The sexual morph is characterized by immersed to semi-immersed ascomata and neck covered with brown to reddish-brown setae, lack of pseudoparaphyses, 8-spored, bitunicate, fissitunicate, clavate to saccate asci, with or without a large apical ring, and muriform terete ascospores (Ariyawansa et al. 2014, Marin-Felix et al. 2019a). The asexual morph has macronematous, mononematous, subhyaline to brown conidiophores, polytretic, integrated or terminal conidiogenous cells and solitary, acropleurogenous, simple, straight or curved, pale to dark brown or olivaceous brown conidia of various shapes (Marin-Felix et al. 2019a). Species have overlapping characters making identification based on morphology difficult. Therefore, the use of DNA sequence data is important in identifying these species.

Molecular-based identification: The first multi-gene (ITS and gapdh) phylogenetic analysis for Pyrenophora and Drechslera by Zhang and Berbee (2001) showed these genera to be congeneric and monophyletic. Zhang et al. (2012) refined Pleosporales based on analyses of LSU, SSU, rpb2 and tef and placed Pyrenophora in Pleosporaceae. Ariyawansa et al. (2014) confirmed this result based on LSU, SSU and rpb2 analyses. Marin-Felix et al. (2019a) introduced six new Pyrenophora species and synonymized five Drechslera species under Pyrenophora based on analyses of ITS, LSU, gapdh and rpb2 sequences. Here we reconstruct the phylogenetic tree of Pyrenophora based on ITS, LSU and gapdh sequence data, which provided similar result to previous studies (Ariyawansa et al. 2014, Marin-Felix et al. 2019a). This study provides an updated phylogeny of Pyrenophora based on combined ITS, LSU and gapdh sequence data (Fig. 38, Table 19).

Recommended genetic markers (genus level): LSU and ITS

Recommended genetic markers (species level): ITS, LSU and gapdh

Accepted number of species: 31

References: Liu et al. (2011), Mokrani et al. (2012) (morphology); Zhang & Berbee (2001), Ariyawansa et al. (2014), Abdullah et al. (2017), Marin-Felix et al. (2019a), Jayawardena et al. (2022) (phylogeny)

Fig. 37. a-d Spot form net blotch and net form net blotch caused by Pyrenophora sp. on barley. This picture is copyright of Timothy L Friesen.

144. Ramichloridium Stahel ex de Hoog, Studies in Mycology. 15: 59 (1977)

Type species: Ramichloridium apiculatum (J.H. Mill., Giddens & A.A. Foster) de Hoog

Classification: Dothideomycetes, Mycosphaerellales, Dissoconiaceae

Background: Most Ramichloridium species were placed in Rhinocladiella by Schol-Schwarz (1968). Ramichloridium was originally established by Stahel (1937) and typified by R. musae Stahel. However, the genus was invalid due to lacking

Fig. 38. Maximum likelihood tree of Pyrenophora species based on the concatenated ITS, LSU and gapdh sequence data. The best scoring RAxML tree had a final likelihood value of -9923.179825. The tree was rooted with Bipolaris bicolor (CBS 690.96) and B. distoseptata (CGMCC3.19361). Estimated base frequencies were as follows: A = 0.244864, C = 0.251782, G = 0.268257, T = 0.235097; substitution rates AC = 1.218177, AG = 2.450247, AT = 1.097347, CG = 0.861679, CT = 4.648617, GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Type strains are in bold. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.
Table 19 DNA barcodes of accepted Pyrenophora.
SpeciesIsolateGenBank accession numbers
  ITSLSUgapdh
Pyrenophora avenicolaCBS 307.84MK539972MK540042MK540180
Py. biseptataCBS 307.69MK539973MK540043MK540181
Py. bromiCBS 311.68MK539976MH870851MK540184
Py. chaetomioidesCBS 279.31MK539977MK540045MK540185
Py. cynosuriCBS 127918MK539980MK540047MK540188
Py. dactylidisDAOMC 92161JN943667JN940087AY004812
Py. dematioideaCBS 108962JN712465JN712531N/A
Py. dictyoidesDAOMC 63666JN943653JN940080AY004836
Py. erythrospilaCBS 312.69MK539983MK540051MK540192
Py. fugaxCBS 509.77MK539985MK540053MK540194
Py. grahamiiCBS 315.69MK539986MK540054MK540195
Py. gramineaCBS31469MH859313MH871047N/A
Py. japonicaCBS28131MH855214MH866663N/A
P. leucospermiCBS 111083JN712467JN712533MK540198
Py. loliiCBS 240 48MK539991MK540055MK540201
Py. nisikadoiCBS 190 29KM257054KM243296KM257057
Py. nobleaeCBS 259.80MK539994MK540058MK540206
Py. novozelandicaCBS 127934MK539997MK540061MK540209
Py. phaeocomesDAOMC 222769JN943649JN940093N/A
Py. poaeCBS 319.68MK539998MK540062MK540210
Py. pseudoerythrospilaCBS 127931MK540000MK540063MK540212
Py. seminiperdaDAOMC 213153JN943665JN940088AY004826
Py. sieglingiaeCBS 127930MK540002MK540065MK540214
Py. teresCBS 228.76MK540003MK540066MK540215
Py. tetrarrhenaeCBS 127915MK540010MH877964MK540222
Py. trichostomaCBS 328.53MK540012MK540072MK540224
Py. triseptataCBS 128047MK540015MH877983MK540227
Py. tritici-repentisCBS 259.59MK540017MK540075AM884276
Py. variabilisCBS 127920MK540020MK540078MK540231
Py. verruculosaSGO 168420ON722346N/AON736764
Py. wirreganensisCBS 109896MK540021MK540079MK540232

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A.

a Latin diagnosis. De Hoog (1977) reintroduced Ramichloridium and treated R. apiculatum as the type species. Ramichloridium includes human or plant pathogens, saprobes, endophytes, airborne fungi and lichenicolous fungi from aquatic and terrestrial habitats (De Hoog 1977, Arzanlou et al. 2007, Braun et al. 2009, Li et al. 2012, Crous et al. 2014, Diederich et al. 2017, Zheng et al. 2020).

Distribution: Belgium, Canada, China, Chile, Czechoslovakia, Denmark, Ecuador, France, India, Jamaica, Japan, Malaysia, Netherlands, Peru, Rhodesia, Seychelles, South Africa, U.K, U.S.A, U.S.S.R (Farr & Rossman 2025)

Disease symptoms: Some Ramichloridium species are related to sooty blotch and flyspeck on fruits, for example, R. punctatum and R. cucurbitae cause disease on the surface of winter squash while R. luteum causes symptoms on the surface of apples (Li et al. 2012). Arzanlou et al. (2007) reported R. musae and R. biverticillatum were involved in banana speckle disease, however, Videira et al. (2017) regarded R. musae and R. biverticillatum to be conspecific, and applied the name Zasmidium biverticillatum to both species.

Hosts: Air, Amomum krervanh (Zingiberaceae), Alnus glutinosa (Betulaceae), Alocasia odora (Araceae), Bambusa sp. (Poaceae), Brassica sp. (Brassicaceae), Carica papaya (Caricaceae), Carissa carandas (Apocynaceae), Cladonia portentosa (Cladoniaceae), Cladonia stygia (Cladoniaceae), Crataegus flava (Rosaceae), Cucurbita maxima (Cucurbitaceae), Erythrina tomentosa (Fabaceae), Euclea undulata (Ebenaceae), Fagus sylvatica (Fagaceae), Malus domestica, (Rosaceae), Malus pumila (Rosaceae), Musa sp. (Musaceae), Palmae, Picea engelmannii (Pinaceae), Potamogeton pectinatus (Potamogetonaceae), Solanum torvum (Solanaceae), soil, Tilia cordata (Malvaceae), Wissadula sp. (Malvaceae) (Farr & Rossman 2025)

Pathogen biology, disease cycle and epidemiology: Ramichloridium survives on plant debris, senescing tissue, or as epiphytes, and can persist in the environment due to their melanized (pigmented) cell walls, which confer resistance to UV and desiccation (Wang et al. 2017a). The disease cycle begins with the dissemination of conidia via wind, rain splash, or insect vectors, which land on host surfaces (Ploetz et al. 2003, Wang et al. 2017a). Infection typically occurs in warm, humid conditions, where conidia germinate and colonize the cuticle or epidermal layers (Wang et al. 2017a). Unlike more aggressive pathogens, Ramichloridium species rarely penetrate deeply into host tissues, often remaining superficial, which contributes to their classification as blemish or surface pathogens (Brandt & Warnock 2003, Wang et al. 2017a). Epidemiologically, outbreaks are linked to prolonged leaf wetness, high humidity, and dense canopy structure that limits airflow (Brandt & Warnock 2003, Wang et al. 2017a).

Morphological-based identification: Ramichloridium is characterized by macronematous, mononematous, solitary, erect, dark, branched or unbranched, straight to curved or sinuous, septate conidiophores, polyblastic, integrated, terminal, solitary, pale to brown conidiogenous cells and solitary, pale to brown, obovate to subglobose, oblong, or clavate conidia (De Hoog 1977, Arzanlou et al. 2007, Zheng et al. 2020, Fig. 39). The sexual morph is unknown.

It is difficult to identify Ramichloridium based solely on morphology since the characters are similar to those of other Ramichloridium-like fungi, such as Cladosporium, Rhinocladiella and Veronaea. Rhinocladiella differs from Ramichloridium in having exophiala-type budding cells (De Hoog 1977, De Hoog et al. 1983, Arzanlou et al. 2007). Cladosporium differs from Ramichloridium in having conspicuous, protuberant, darkened and thickened, coronate conidial scars, and catenate conidia (Arzanlou et al. 2007). Molecular analyses are necessary to separate Ramichloridium from Veronaea.

Molecular-based identification: The first multi-gene (LSU and ITS) phylogenetic analysis which included Ramichloridium and allied genera was performed by Arzanlou et al. (2007). They reclassified Ramichloridium and placed it in Mycosphaerellaceae (Capnodiales). Crous et al. (2009) reconstructed the phylogenetic analyses for Capnodiales and established a new family, Dissoconiaceae to accommodate Dissoconium and Ramichloridium based on ITS, LSU, and SSU sequence data. Five genera, Dissoconium, Globoramichloridium, Pseudoveronaea, Ramichloridium and Uwebraunia were accepted in Dissoconiaceae based on molecular analyses (Marin-Felix et al. 2019a, Hongsanan et al. 2020b, Zheng et al. 2020). This study provides an updated phylogeny of Ramichloridium based on combined ITS, LSU and tef sequence data (Fig. 40, Table 20) and the result is similar to previous study (Zheng et al. 2020).

Recommended genetic markers (genus level): LSU

Recommended genetic markers (species level): ITS, LSU, tef

Accepted number of species: seven

References: De Hoog (1977) (morphology); Arzanlou et al. (2007); Crous et al. (2014), Zheng et al. (2020) (phylogeny)

Fig. 39. Ramichloridium sp. a Ramichloridium sp. on apple. b Sporulating colony. c-e Conidiophores with conidiogenous cells giving rise to a conidium-bearing rachis. f Conidiophores reduced to conidiogenous cells. g Conidia. Scale bars: c-g = 10 µm. This picture is copyright of Pedro Crous (Arzanlou et al. (2007) and Marin-Felix et al. (2019a)).
Fig. 40. Maximum likelihood tree of Ramichloridium and related species based on the concatenated ITS, LSU and tef sequence data. The best scoring RAxML tree had a final likelihood value of -6278.128. The tree was rooted with Schizothyrium pomi (CBS 228.57) and S. tardicrescens (CBS 118946). Estimated base frequencies were as follows: A = 0.234313, C = 0.260471, G = 0.293042, T = 0.212174; substitution rates AC = 1.783781, AG = 2.739194, AT = 1.812124, CG = 1.712212, CT = 7.492617, GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Type strains are in bold. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.
Table 20 DNA barcodes of accepted Ramichloridium.
SpeciesStrainGenBank accession numbers
  ITSLSUtef
Ramichloridium apiculatumCBS 156.59NR_145091NG_069690N/A
R. cucurbitaeCBS 132087JQ622087NG_042613JQ622112
R. endophyticumYMF 1.05584NR_172411MK836098MN307070
R. eucleaeCPC 23551KJ869155NG_058086N/A
R. luteumCPC 18961EU329730NG_042615JQ622116
R. maliLQ 73EF627452N/AN/A
R. punctatumCBS 132090JQ622086NG_042612JQ622111

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A.

145. Ravenelia Berk. Gard. Chron., London 13: 132 (1853)

Type species: Ravenelia glanduliformis Berk. & M.A. Curtis

Classification: Pucciniomycetes, Pucciniales, Raveneliaceae

Background: Ravenelia is the third largest genus with more than 250 described species within the rust fungi (Pucciniales) (Hernández & Hennen 2002, Cummins & Hiratsuka 2003, Wijayawardene et al. 2020). This genus was introduced by Berkeley (1853) with Ravenelia glanduliformis as the type species on leaves of Tephrosia sp. in South Carolina and Georgia. Initially, Ravenelia was comprised of Ra. glandulosa and Ra. indica. Ravenelia glandulosa was transferred from Sphaeria epiphylla (found on Tephrosia virginiana) while Ra. indica (on Acacia sp.) was described as a new species. Based on morphological diversity and variability in the life cycle, Sydow (1921) proposed a broad taxonomic classification for Ravenelia and distinguished eight species. With the addition of many new species and records throughout the world, Ravenelia became the third most species-rich rust fungal genus after Puccinia and Uromyces. Interestingly, an edible rust fungus Ra. esculenta was described from India (Narasimhan and Thirumalachar 1961). The genus is widely distributed in subtropical and tropical regions, but so far there are no reports of Ravenelia from Europe and Australia, and exclusively on Fabaceae (Cummins and Hiratsuka 2003). After the discovery of the type species, Dietel correctly recombined the type species Ra. glandulosa and Ra. glanduliformis as synonym of Ra. epiphylla (Schwein.) Dietel (Dietel 1894).

Distribution: Africa, Brazil, China, Chile, Mexico, India, Argentina, Spain, Bahamas, Colombia, Cuba, Formosa, Japan, Zambia, France, Pakistan, Panama, Philippines, Sri Lanka, Uganda, USA and Venezuela (Farr & Rossman 2025).

Hosts: Species of Abrus, Acacia, Albizia, Aloe, Anadenanthera, Andira, Brogniartia, Bulnesia, Caesalpinia, Calliandra, Cassia, Cassiaria, Cenostigma, Chamaecrista, Cracca, Cratylia, Dichrostachys, Elephantorrhiza, Entada, Enterolobium, Erythrina, Gleditsia, Indigofera, Leucaena, Leucania, Lonchocarpus, Lysiloma, Megonemium, Millettia, Mimosa, Parkia, Phyllanthus, Piptadenia, Piscidia, Pithecellobium, Plathymenia, Poinciana, Pongamia, Prosopis, Pseudopiptadenia, Senegalia, Senna, Sesbania, Siderocarpos, Swartzia, Tephrosia and Vachellia (Farr & Rossman 2025).

Disease symptoms: Ravenelia species are characterized by the appearance of ochraceous to light brown and chestnut to dark brown pustules on the abaxial as well as adaxial leaf surface (Fig. 41). The aecial stage of several macrocyclic Ravenelia spp. may induce galls and witches’ brooms in infected host tissues. Production of uredinoid aecia in many Ravenelia spp. is another feature of these rust fungi (Cummins1959, Cummins & Hiratsuka 2003).

Fig. 41. Ravenelia sp. on Pongamia sp. a Infected leaf with rust fungus. b-c Sori at various stages of infection. d Teliospore of Ravenelia sp. Scale bar: 10 µm. This picture is copyright of Ajay Kumar Gautam, Shubhi Avasthi and Rajnish Kumar Verma.

Pathogen biology, disease cycle and epidemiology: Ravenelia spp. are autoecious with life cycles ranging from macro- and demi- to hemi-, and more rarely to microcyclic (Cummins & Hiratsuka 2003). Members of this genus parasitize a diverse range of host plants mostly belonging to the legume family i.e. Fabaceae (Hennen et al. 2005). Infection starts when wind-dispersed urediniospores germinate on leaves, penetrating through stomata to form haustoria that extract nutrients from host cells. Urediniospores are repeatedly produced in successive cycles during the growing season, enabling rapid, polycyclic epidemics under favourable conditions. Teliospores develop later, often aggregated in sori or galls, providing overwintering survival and serving as inoculum for the next season (Avasthi et al. 2024).

Morphological-based identification: The most prominent morphological characters shared by all species of Ravenelia are the multicellular teliospores, borne on compound pedicels composed of two to several hyphae. These spores have an ellipsoidal, reniform, or almost hemispherical shape in side view and bear a variable number of pendent hygroscopic cysts. Spermogonia are mostly subcuticular, group VI (type 5), however, subepidermal in a few cases with type 7 spermogonia (Cummins & Hiratsuka 2003). Aecia are subepidermal (subcuticular also) and erumpent, containing pedicellate spores (Uredo type) or catenulate spores in some cases with or without peridium (Aecidium- or Caeoma- type). Uredinia are of Uredo-type, subepidermal mostly (subcuticular and erumpent) containing echinulate urediniospores borne singly on pedicels. Telia are mostly abaxial, subepidermal (sometimes subcuticular), dark brown to nearly black. The multicellular, ellipsoidal, reniform, or almost hemispherical shaped teliospores consisting of 1 cell (2 cells thick in some species) thick discoid heads are borne on compound pedicels composed of two to several hyphae. There is a single germ pore present in each cell of teliospores. This genus contains external basidia (Cummins & Hiratsuka 2003, Ebinghaus et al. 2020).

Molecular-based identification: DNA sequence data from LSU, SSU, and cox genes have been used for phylogenetic analyses. Ravenelia have been recorded on various plant hosts. Most of the identifications are based on morpho-taxonomic characteristics; however, there are a few records also available where only molecular data has been used. In a study on rust fungi (Pucciniales) by Aime (2006), the 18S and 28S regions of nuclear rDNA were studied to provide a better systematic outline. Herbarium specimens or dried materials and field collections of rust fungi, including Ravenelia havanensis collected on Enterolobium contortisiliquum from Argentina, were used for DNA extraction and for further molecular analyses. In addition, previously accessioned DNA sequences from GenBank were also utilized to provide a complete framework. Gandhe and Kuvalekar (2007) evaluated the phylogenetic position of Ravenelia esculenta among other rust fungi based on the 18S rDNA region and put forth the phylogenetic correlation between molecular and morphological data. This was the first report of DNA sequencing and phylogenetic positioning in the genus Ravenelia from India. The rust disease on the plant Vachellia caused by Ravenelia spp. in South Africa was reported by Ebinghaus et al. (2018). These rust fungi were identified and characterized as Ra. macowaniana and Ra. evansii based on DNA sequence data of LSU and ITS rDNA regions analyses along with morphological examinations. Similarly, based on molecular phylogenetic analyses of 28S rDNA sequence data, Ra. piepenbringiae and Ra. hernandezii were identified as representatives of Senegalia rusts from Panama and Costa Rica (Ebinghaus & Begerow 2018). Ebinghaus et al. (2020) conducted phylogenetic analyses of Ravenelia with a special focus on South African species using 28S rDNA and Cytochrome-c-oxidase subunit 3 sequences. As a result, six novel Ravenelia species were reported from South Africa. Aime & McTaggart (2020) presented an updated taxonomy for Pucciniales, which is the result of the examination of phylogenetic data of sequences from type species or type species proxies. Molecular data from three loci (LSU, SSU and cox) of about 113 rust genera were used to propose a stable higher-rank classification. Gautam et al. (2021) provided a taxonomic outline of Indian Pucciniales using ITS and LSU sequences of five species of Ravenelia, along with 25 other genera of rust fungi. This study provides an updated phylogeny of Ravenelia based on combined ITS and LSU sequence data (Fig. 42, Table 21).

Recommended genetic marker (genus level): ITS

Recommended genetic marker (species level): ITS, LSU

Accepted number of species: 250

References: Aime (2006), Scholler & Aime (2006), Gandhe & Kuvalekar (2007), McTaggart et al. (2015), Aime et al. (2018), Ebinghaus & Begerow (2018), Ebinghaus et al. (2018), Ebinghaus et al. (2020), Aime & McTaggart (2020) (morphology and phylogeny)

146. Seiridium Nees, Syst. Pilze (Würzburg): 22 (1817)

Type species: Seiridium marginatum Nees, Syst. Pilze (Würzburg)

Classification: Sordariomycetes, Amphisphaeriales, Sporocadaceae

Background: Seiridium was established by Nees (1817) based on Seiridium marginatum, and epitypified by Jaklitsch et al. (2016). Members are predominantly known as plant pathogens, often causing serious diseases in woody plants and trees (Graniti 1998, Barnes et al. 2001, Bonthond et al. 2018, Li et al. 2022). The most notable species is Seiridium cardinale which is the causal agent of cypress canker, a devastating disease affecting cypress and related conifer species worldwide (Graniti 1986). The genus has historically been taxonomically challenging due to morphological similarities with related genera, however, the use of multi-locus phylogeny has helped clarify species boundaries and evolutionary relationships within this group.

Distribution: worldwide (Farr & Rossman 2025)

Disease symptoms: Seiridium species, particularly those pathogenic to conifers, cause a range of disease symptoms (Graniti 1998, Bonthond et al. 2018). Infection usually occurs through wounds by environmental factors such as wind, frost, insect activity, or natural openings (La Porta et al. 2008, Bonthond et al. 2018). After penetration, necrotic bark lesions spread rapidly through the cortical parenchyma and more slowly within the phloem while in severe cases, the cambium and all surrounding tissues turn brown and die (Graniti 1998). Infected trees typically develop sunken, necrotic lesions on branches and stems, which may exude resin or sap. These cankers often start as small, discoloured areas that expand over time, girdling branches or main stems and leading to

Fig. 42. Maximum likelihood tree of Ravenelia species based on the concatenated ITS and LSU sequence data. The best scoring RAxML tree had a final likelihood value of -10939.992725. The tree was rooted to Endoraecium violae-faustiae (BRIP56545). Estimated base frequencies were as follows: A = 0.297698, C = 0.159517, G = 0.260564, and T = 0.282220; substitution rates AC = 1.260199, AG = 3.686171, AT = 1.534708, CG = 0.647813, CT = 5.324166, and GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Type strains are in bold. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.
Table 21 DNA barcodes for accepted species of Ravenelia.
SpeciesStrainGenBank accession numbers
  ITSLSU
Ravenelia acaciae-nigrescentisKR-M-0006413N/AMN072686
Ra. acaciicolaPREM61861N/AMN072683
Ra. arizonicaBPI 878098N/AMW147032
Ra. cebilBPI841029N/AMN072649
Ra. cohnianaBPI841185N/AMG954487
Ra. doidgeaePREM60992N/AMN072672
Ra. dumetiPREM61877N/AMN072681
Ra. echinataBPI841034N/ADQ323925
Ra. elephantorhizaeKR-M-0006449MN072702MN072702
Ra. escharoidesWM3405N/AMG954480
Ra. glabraKR-M-0006450N/AMN072691
Ra. halseiPREM61855N/AMG954484
Ra. havanensisBPI871922N/AMN275524
Ra. hermosaBPI1107966N/AMN072657
Ra. hernandeziiBPI872308N/AMG954488
Ra. holwayiBPI871145N/AMN072656
Ra. indigoferaePREM61061N/AMN072664
Ra. inornataKR-M-0006613N/AMN072666
Ra. lonchocarpiBPI 863495N/AMW147034
Ra. macrocarpaBPI841195N/ADQ323926
Ra. mainsianaBPI871923N/AMN275525
Ra. mesillianaKR-M-0006424N/AMN072693
Ra. mimosae-sensitivaeBPI841052N/AMN072650
Ra. modestaPREM61884N/AMN072688
Ra. modjadjiPREM61023N/AMN072667
Ra. molopaPREM61879N/ANG_068900
Ra. molotoKR-M-0006445N/AMN072697
Ra. ornataKR-M-0006447N/AMN072687
Ra. pienaariiKR-M-0006442N/AMN072699
Ra. piepenbringiaeMP5157N/AMG954489
Ra. platensisBPI841204N/AMN072652
Ra. pretoriensisPREM61021N/AMN072665
Ra. sessilisBRIP 59688N/AMW147035
Ra. spiniferaPREM 61895N/ANG_068903
Ra. sticticaPREM60784N/AMN072663
Ra. tephrosiaePREM61895N/AMN072698
Ra. transvaalensisPREM61024N/AMN072669
Ra. verrucataBPI 910281KY764176KY764176

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A.

dieback of the affected tissues (Graniti 1998, Danti et al. 2014, Bonthond et al. 2018). In severe cases, the infection can cause extensive bark cracking, resin bleeding, and eventual death of large portions of the tree crown (Bonthond et al. 2018). Needle discoloration, wilting, and premature needle drop are common secondary symptoms as the vascular tissues become impaired. The progression of the disease can lead to structural weakening of the tree and increased susceptibility to other pathogens or environmental stressors (Bonthond et al. 2018).

Hosts: Seiridium has a wide range of hosts, including several economical plant genera, such as Camellia, Eucalyptus, Juniperus and Rosa (Graniti 1998, Barnes et al. 2001, Tsopelas et al. 2007, Bonthond et al. 2018, Marin-Felix et al. 2019a, Li et al. 2022, Farr & Rossman 2025). The genus is also well-known to be associated with Cupressaceae including cypress, juniper, arborvitae, and related conifers (Danti et al., 2014, Aylward et al. 2025, Farr & Rossman 2025).

Pathogen biology, disease cycle and epidemiology: Seiridium species form acervuli on infected bark that produce conidia, that serve as infectious propagules (Bonthond et al. 2018). The disease cycle begins when the conidia infect trees through wounds or natural openings (La Porta et al. 2008). These wounds are often caused by pruning, insect damage, mechanical injury, or environmental stress. Once the conidia land on these entry points, especially during warm, moist weather, they establish beneath the bark to form resinous and necrotic cankers, which disrupt vascular flow and eventually lead to branch dieback and tree mortality (Graniti 1998; Danti et al. 2014). The spores can also be dispersed by rain splash, wind, insects, or contaminated pruning tools, enabling the pathogen to spread and cause new infections on nearby trees (Ghelardini et al. 2017). Seiridium species have been responsible for significant global outbreaks of cypress canker. Seiridium cardinale spread to several continents, resulting in a global outbreak of cypress canker, with particularly severe impacts in Mediterranean climates (Graniti 1998, Aylward et al. 2025).

Morphological-based identification: Seiridium produces acervular to pycnidial conidiomata that are semi‑immersed or erumpent and brown or black (Bonthond et al. 2018, Jiang et al. 2019, Fig. 43). Conidia are fusiform, multi‑septate, bearing two appendages, with pale‑hyaline end cells and brown‑pigmented median cells that are smooth or striated. Distinguishing Seiridium from morphologically similar genera such as Pestalotiopsis, Neopestalotiopsis, and Monochaetia can be challenging due to overlapping conidial characteristics (Graniti 1998, Bonthond et al. 2018). Seiridium typically differ from these morphologically similar genera as they have conidia with lighter pigmentation and smoother walls. The presence, position, and morphology of conidial appendages have been used as key diagnostic features for distinguishing Seiridium species (Bonthond et al. 2018). However, these morphological traits can be variable and overlap among species, making identification challenging.

Molecular-based identification: Molecular-based analyses are important for accurate delimitation of Seiridium species due to the morphological overlap. Barnes et al. (2001) highlighted the limitations of morphological identification and demonstrated that the ITS region lacked resolution for distinguishing Seiridium species. Many isolates previously identified as S. unicorne based on morphology were found to be genetically distinct (Cunnington et al. 2007). Jaklitsch et al. (2016) and Bonthond et al. (2018) applied a polyphasic approach to resolve cryptic species within Sporocadaceae using ITS, tef, tub2, and rpb2 sequences. Bonthond et al. (2018) also contributed to the designation of epitypes. Razaghi et al. (2024) used LSU, ITS, tef, tub2, and rpb2 sequences of Sporocadaceae from numerous plant hosts mainly from China to significantly broadened the diversity within the family. This study provides an updated phylogeny of Seiridium based on combined ITS, rpb2, tef, and tub2 sequence data (Fig. 44, Table 22).

Recommended genetic markers (genus level): ITS

Recommended genetic markers (species level): ITS, rpb2, tef, and tub2

Accepted number of species: 29

References: Barnes et al. (2001), Cunnington et al. (2007), Jaklitsch et al. (2016), Bonthond et al. (2018), Razaghi et al. (2024) (morphology and phylogeny)

Fig. 43. Seiridium sp. on branches of: a, b Vernicia fordii. c Olea europaea. d Paeonia suffruticosa. e-f Conidiogenous cells and conidia. g-h Conidiophore and conidia. i-j Conidia. Scale bars: e = 20 µm, f-j = 10 µm. This picture is copyright of Jian-Kui (Jack) Liu (Li et al. 2022).

147. Stenocarpella Syd. & P. Syd., Annls mycol. 15(3/4): 258 (1917)

Type species: Stenocarpella macrospora (Earle) B. Sutton

Classification: Sordariomycetes, Diaporthales, Diaporthaceae

Background: Stenocarpella was introduced and illustrated by Sydow & Sydow (1917), who treated St. zeae as the type species. Sutton (1977) provided evidence that St. zeae is a synonym of Diplodia macrospora and named St. macrospora as the type species. Initially, Stenocarpella was placed in Botryosphaeriaceae (Botryosphaeriales) due to morphological similarity with Diplodia (Lamprecht et al. 2011). Crous et al. (2006a, b) and Senanayake et al. (2018) found that Stenocarpella belongs to Diaporthaceae (Diaporthales) based on LSU sequences. Subsequently, Lamprecht et al. (2011) confirmed its placement using ITS and tef sequence.

Distribution: worldwide (Farr & Rossman 2025)

Disease symptoms: Stemocarpella macrospora and St. maydis cause seed rot, seedling blight, stem and ear rot, and leaf spots of maize (Fig. 45). When ears are affected, these fungi are usually the predominant grain rot causative agent (Latterell & Rossi 1983, Casa et al. 2006, Lamprecht et al. 2011, Da Silva et al. 2014, Senanayake et al. 2018, Hyde et al. 2020). Stenocarpella maydis causes a dry rot of maize ears, and occurs in practically every maize cultivation worldwide (Sutton & Waterston 1966, Dorrance et al. 1998, Wicklow et al. 2011, Matiello et al. 2015). When switching from conventional to conservation tillage, the severity of St. maydis rot increases (Kerr 1965, Kruger 1970, Byrnes & Carroll 1986, Flett & Wehner 1990). Stenocarpella maydis can be found in the residue of maize stalks, ears, and fallen grains between seasons. Stenocarpella maydis may cause a reduction in seed germination and vigor of emerged seedlings and is associated with neuro mycotoxicosis in cattle grazing harvested maize fields in southern Africa and Argentina (da Silva Siqueira et al. 2014). Initially, the symptoms caused by St. maydis are yellowing and drying of infected leaves on the green maize plant (Rossouw 2001). The second symptom is discolored kernel embryos that can only be seen if the ear is broken; this symptom is called "hidden diplodia" in South

Fig. 44. Maximum likelihood tree of Seiridium species based on the concatenated ITS, rpb2, tef, and tub2 sequence data. The best scoring RAxML tree had a final likelihood value of -18579.142. The tree was rooted with Bartalinia robillardoides (CBS 122705) and Seimatosporium rosae (CBS 139823). Estimated base frequencies were as follows: A = 0.250, C = 0.250, G = 0.250, T = 0.250; substitution rates AC = 1.00000, AG = 3.45694, AT = 1.00000, CG = 1.00000, CT = 4.30822, GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Type strains are in bold. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.
Table 22 DNA barcodes for accepted species of Seiridium.
SpeciesStrainGenBank accession numbers
  ITSrpb2teftub2
Seiridium aquaticumMFLUCC 17-0474MK828605MN156531MN194101N/A
S. camelliaeMFLUCC 12-0647JQ683725N/AJQ683741JQ683709
S. cancrinumCBS 226.55LT853089LT853137LT853186LT853236
S. cardinale#CBS 909.85LT853064LT853113LT853161LT853211
S. ceratosporumPHSI2001Pathcw07AY687314N/AN/ADQ137857
S. chinenseCFCC 53031 MK353158MK351796MK351799MK351802
S. cupressi#CBS 224.55LT853083LT853131LT853180LT853230
S. eucalyptiCBS 343.97LT853099LT853146LT853196LT853246
S. guangyuanum#CGMCC 3.23561OP082305OP204826OP204809OP235995
S. italicumMFLUCC 16-1315MW240643MW658630MW759527MW775600
S. kartenseCBS 142629LT853100LT853147LT853197LT853247
S. kenyanumCBS 228.55LT853098LT853145LT853195LT853245
S. marginatumCBS 140403KT949914LT853149LT853199LT853249
S. neocupressiCBS 142625LT853079LT853127LT853176LT853226
S. oleae#CGMCC 3.23558OP082313OP204833OP204817OP236003
S. papillatumCBS 340.97LT853102LT853150LT853200LT853250
S. persooniaeCBS 143445MG386033N/AN/AMG386163
S. pezizoidesCBS 145115MK079342MK058475MK058480MK058485
S. phylicae#CBS 133587LT853091LT853139LT853188LT853238
S. podocarpiCBS 137995LT853101LT853148LT853198LT853248
S. pseudocardinaleCBS 145114MK079341MK058479MK058484MK058489
S. rhododendriCGMCC 3.23494OR247929OR792179OR361507OR381088
S. rosaeCFCC 55174OK560681OL742151OL814533OM313314
S. rosarumMFLUCC 17-0654MG828961N/AN/AN/A
S. spyridicolaCBS 142628LT853095LT853142LT853192LT853242
S. syzygiiCBS 147078MZ064444N/AN/AN/A
S. unicorne#CBS 143871MK079339MK058477MK058482MK058487
S. venetumMFLUCC 15-0369KT438836N/AN/AKT438837
S. vernicolaCGMCC 3.23560OP082319OP204838OP204823OP236008

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A. Species confirmed with pathogenicity studies are marked with #.

Africa (Flett 1999, Rossouw 2001). Normally it is invisible when the ear is closed, only seen at harvest when the prominent symptom is discolored kernel embryos, therefore resulting in yield loss (Rossouw 2001). Infections that cause maize ear rot are particularly important because they cause considerable decreases in maize output. The symptoms caused by St. macrospora first form an infection point, and then continue spreading till necrotic. The infection develops into a light brown spot, surrounded by a yellowish halo, decreasing the photosynthetic area of the leaf. In the area of symptoms, dark patches emerge, which are pycnidia. These produce spores that are conveyed and infect the base of the ear and can move to the apex, in the form of white or yellowish, cottony mycelium, and from the cob to the grains, resulting in lowering grain quality (grains burning) (Duarte et al. 2009). Stenocarpella species are frequently isolated from infected maize crops throughout the world, especially during humid seasons. This so-called "maize ear rot" can cause both weight reduction and quality losses in the grain (Odriozola et al. 2005). Maize ear rot diseases are one of the world's most significant food and feed safety threats to maize production (Mesterházy et al. 2012, Matiello et al. 2015).

Hosts: Stenocarpella species have a wide distribution, especially on maize crops, causing stalk and ear rot, seed rot, seedling blight, and leaf spot. They are considered the most important pathogen in maize (Bressan & Figueiredo 2003, Casa et al. 2006, Lamprecht et al. 2011, Rossouw 2001, Da Silva et al. 2014, Senanayake et al. 2018). While maize is the primary host, Stenocarpella can survive on crop residues and infect grass-related species under favorable conditions (Jia et al. 2023).

Pathogen biology, disease cycle and epidemiology: Stenocarpella species can damage the embryo of maize seeds, decrease germination and seedling vigor, and cause rot in the stem and ears, even impairing its functioning, resulting in stem base breaking, lodging, and, untimely plant death (Vincelli 1997, Fedrigo et al. 2016). When infected by Stenocarpella species, the host will exhibit symptoms such as ear rot, seed rot, seedling blight, and leaf spot, which will gradually develop and eventually lead to widespread infection and finally kill the host. When the fruiting bodies mature, the pycnidia open and the spores extrude, and they are spread by raindrops, wind, insects, and infected seeds (Vincelli 1997, Matiello et al. 2015, Bermúdez-Cardona et al. 2016, Fedrigo et al. 2016). The mycelium of Stenocarpella species can survive and overwinter in residue stalks, ears, and fallen grains of maize, resulting in a new round of infection under favourable conditions (Bermúdez-Cardona et al. 2016, Fedrigo et al. 2016).

Morphological-based identification: Stenocarpella species have been extensively published as species of Diplodia due to having similar morphology (Lamprecht et al. 2011). Stenocarpella macrospora and St. maydis have unique characteristics of conidiogenous cells and are distinct from Diplodia. The sexual morph of Stenocarpella is unknown. Stenocarpella is characterised by unilocular, pycnidial, solitary, or occasionally confluent, subepidermal, globose or elongated, dark brown, ostiolate conidiomata with thick-walled dark brown cells of textura angularis. The conidiomata are papillate with a single, circular ostiole. The conidiophores are usually reduced to phialidic conidiogenous cells that are cylindrical, determinate, discrete, with a collarette and a minute channel. The periclinal wall is thickened and the conidiogenous cells proliferate percurrently, producing cylindrical, fusiform, straight or curved conidia with an obtuse apex and a tapered, truncate base. The conidia are brown, septate, smooth, thin-walled, subcylindrical to narrowly obclavate (Crous et al. 2006, Senanayake et al. 2018, Jia et al. 2023).

Molecular-based identification: In the past, Stenocarpella species were placed in Botryosphaeriaceae. Crous et al. (2006a) recollected species of Stenocarpella and revealed Stenocarpella belong to Diaporthales with the evidence of molecular phylogenetic studies (LSU sequence). Lamprecht et al. (2011) confirmed its placement in Diaporthaceae using LSU sequence in the phylogenetic analysis for the generic placement, and ITS and tef to determine species-level relationships. Wijayawardene et al. (2016b) also provided evidence that Stenocarpella belongs to the Diaporthaceae based on LSU and ITS sequences. Thambugala & Hyde (2018) presented a phylogenetic tree with Stenocarpella in Diaporthaceae based on ITS, LSU, and tef sequences. This study provides an updated phylogeny of Stenocarpella based on combined ITS, LSU and tef sequence data (Fig. 46, Table 23).

Recommended genetic markers (genus level): LSU

Recommended genetic markers (species level): ITS, LSU and tef

Accepted number of species: three

References: Matiello et al. (2015), Bermúdez-Cardona et al. (2016), Jia et al. (2023) (morphology and phylogeny)

Fig. 45. Symptoms caused by Stenocarpella sp. a-e Maize ears and kernels infected with Stenocarpella maydis. This picture is copyright of Guillermo Márquez-Licona (García-Reyes et al. 2022).
Table 23 DNA barcodes for accepted species of Stenocarpella species used in the analysis.
SpeciesStrainGenBank accession numbers
  ITSLSUtef
Stenocarpella chrysopogonis#GDMCC 3.684OL780795OL780802OL944433
St. macrospora#CBS 117560FR748048DQ377934N/A
St. macrospora CPC 11863FR748049N/AN/A
St. maydis#CBS 117558FR748051DQ377936FR748080
St. maydisCPC 16785FR748060FR748113FR748089

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A. Species confirmed with pathogenicity studies are marked with #.

Fig. 46. Maximum likelihood tree of Stenocarpella and related species based on the concatenated ITS, LSU and tef sequence data. The best scoring RAxML tree had a final likelihood value of -10313.925489. The tree was rooted with Macrohilum eucalypti (CPC 10945 and CPC 19421). Estimated base frequencies were as follows: A = 0.241440, C = 0.270829, G = 0.279735, T = 0.207997; substitution rates AC = 1.586014, AG = 2.680785, AT = 1.670079, CG = 1.612357, CT = 6.629624, GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Type strains are in bold. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.

148. Tubakia B. Sutton, Trans. Brit. Mycol. Soc. 60: 164. (1973)

Type species: Tubakia japonica (Sacc.) B. Sutton

Classification: Sordariomycetes, Diaporthales, Tubakiaceae

Background: Tubakia was introduced by Sutton (1973) and the genus is known for causing leaf spot diseases on a variety of hardwood trees, particularly oaks (Quercus spp.) (Harrington et al. 2012). Tubakia species are endophytes in leaves and twigs of many tree species (Cohen 1999). Tubakia species are common in temperate and subtropical regions, where they infect host plants through leaf surfaces, especially during warm and wet weather. The most notable species, Tubakia dryina, produces characteristic brown or reddish circular lesions on leaves, which may coalesce and lead to premature defoliation (Braun et al. 2018). While generally considered a secondary pathogen or stress-related invader, severe infections can reduce tree vigor over time.

Distribution: worldwide (Farr & Rossman 2025)

Disease symptoms: Tubakia leaf spot primarily affects the foliage of hardwood trees, especially oaks, with symptoms typically appearing in mid to late summer (Harrington et al. 2012, Fig. 47). The disease is characterized by small, circular to irregularly shaped leaf spots that are brown, reddish-brown, or tan in color, often with darker margins (Braun et al. 2018, Yun & Kim 2018). These lesions can vary in size and may coalesce to form larger dead areas on the leaf surface (Kowalski 2006). In severe cases, infected leaves may curl, become scorched, and fall prematurely, leading to significant defoliation (Kowalski 2006). The symptoms often begin on older or lower leaves and progress upward through the canopy (Fallon et al. 2020). While the disease is generally cosmetic and not fatal to healthy trees, repeated defoliation over consecutive seasons can weaken trees, making them more vulnerable to other stresses such as drought or insect infestations (Kowalski 2006).

Fig. 47. Symptoms caused by Tubakia sp. on leaves of Quercus stellata. a Leaf spots. b Veinal necrosis. c Necrotic flecks and leaf spots. d Pycnothyrium with conidia. e Conidiophores and conidia. Scale bars: 20 µm. This picture is copyright of Thomas C. Harrington (Harrington & McNew 2018).

Hosts: Tubakia species primarily infect hardwood trees, with oaks being the most common and susceptible hosts (Harrington et al. 2012). Both red and white oak groups are affected, although red oaks tend to show more severe symptoms (Harrington & McNew 2018). Tubakia has also been reported on other deciduous trees and shrubs, including maple (Acer spp.), chestnut (Castanea spp.), elm (Ulmus spp.), ash (Fraxinus spp.), and tupelo (Nyssa spp.) (Farr & Rossman 2025). However, infections on these hosts are less frequent and typically less severe.

Pathogen biology, disease cycle and epidemiology: Tubakia species are fungal pathogens that survive the winter in infected fallen leaves and twigs, primarily as conidia or mycelium (Harrington et al. 2012). Under warm and humid conditions, the fungus produces conidia that are spread by wind and rain splash to newly emerging leaves. Infection typically begins on older or lower leaves, with symptoms appearing later in the season. The disease cycle continues throughout the growing season as multiple generations of spores are produced, leading to secondary infections (Zlatković et al. 2024). Extended leaf wetness from rain, dew, or irrigation greatly enhances the pathogen ability to infect. Although it does not usually infect healthy leaf tissue aggressively, trees under stress such as those suffering from drought, nutrient deficiencies, or other diseases, are more vulnerable (Kowalski 2006).

Morphological-based identification: Tubakia produces pycnothyrial or stromatic conidiomata on infected leaves and twigs, typically embedded within necrotic lesions (Holdenrieder & Kowalski 1989). These conidiomata are superficial, dark brown to black, and may appear scattered or aggregated. Conidia are usually single-celled, ellipsoidal to oblong, thick-walled, and pigmented, ranging from light to dark brown as they mature (Braun et al. 2018). The conidial size, septation, and wall texture were previously used to differentiate species. However, the morphological characteristics of Tubakia species can be highly variable depending on environmental conditions, substrate, and host species, which makes species delimitation based solely on morphology problematic (Harrington & McNew 2018). Therefore, traditional identification methods often failed to differentiate cryptic species and a polyphasic approach is recommended

Molecular-based identification: Molecular-based identification has revolutionized the taxonomy of Tubakia as traditional classification proved insufficient for distinguishing closely related or cryptic species (Harrington & McNew 2018). Tubakia was previously assigned to Diaporthales (Yokoyama & Tubaki 1971, Yun & Rossman 2011) and Melanconiellaceae (Senanayake et al. 2017). Braun et al. (2018) introduced Tubakiaceae to accommodate Tubakia s based on sequences retrieved from material of the type species. Several studies have employed multi-gene approaches to resolve species boundaries in Tubakia (Harrington et al. 2012, Braun et al. 2018, Marin-Felix et al. 2019a). Harrington et al. (2012) described the new species Tubakia iowensis which was initially misidentified as Tubakia dryina. Braun et al. (2018) revealed that the diversity of Tubakia had been significantly underestimated. Several new species were also reported based on molecular and phylogenetic studies (Yun & Kim 2018, Zhang et al. 2021a, Cho et al. 2024). This study provides an updated phylogeny of Tubakia based on combined ITS, rpb2, tef and tub2 sequence data (Fig. 48, Table 24).

Recommended genetic markers (genus level): ITS

Recommended genetic markers (species level): ITS, rpb2, tef and tub2

Accepted number of species: 23

References: Harrington et al. (2012), Harrington and McNew (2018), Marin-Felix et al. (2019a) (morphology and phylogeny); Braun et al. (2018), Zhu et al. (2022) (morphology, pathogenicity, and phylogeny)

Table 24 DNA barcodes for accepted species of Tubakia.
SpeciesIsolateGenBank accession numbers
  ITSrpb2teftub2
Tubakia americanaCBS 129014MG591873MG976449MG592058MG592152
T. byeongjiniiCDH040OR727896N/AOR732731N/A
T. californicaCBS 143670MG591835MG976451MG592023MG592117
T. cyclobalanopsidis#CFCC 55979OP114639N/AOP254247OP329290
T. dryina#CBS 112097MG591851MG976455MG592039MG592133
T. dryinoidesNBRC 9267MG591878MG976461MG592063MG592157
T. glaucaeCGMCC 3.28256PQ340136PQ367358PQ358339PQ358363
T. halliiCBS 129013MG591880MG976462MG592065MG592159
T. iowensis#CBS 129012MG591879N/AMG592064MG592158
T. japonicaMUCC2296MG591886MG976465MG592071MG592165
T. koreanaKCTC 46072KP886837N/AN/AN/A
T. liquidambarisCBS 139744MG605068N/AMG603578N/A
T. lushanensisSAUCC 1923MW784678MW842267MW842261MW842264
T. macnabbiiCBS 137349MG605069N/AMG603579N/A
T. melnikianaCPC 32255MG591893MG976472MG592080MG592174
T. oblongisporaNBRC 9885MG591897MG976474MG592084MG592178
T. paradryinoidesNBRC 9884MG591898MG976475MG592085MG592179
T. quercicola#CFCC 55106OP114635N/AOP254243OP254289
T. seoraksanensisCBS 127492MG591908MG976485MG592096MG592188
T. sierrafriensisCPC 33020MG591910MG976486MG592099MG592191
T. suttonianaCBS 639.93MG591921MG976493MG592110MG592202
T. tiffanyaeCBS 137345MG605081N/AN/AN/A
T. variabilisCGMCC 3.28249PQ340126PQ367348PQ358329PQ358353

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A. Species confirmed with pathogenicity studies are marked with #.

Fig. 48. Maximum likelihood tree of Tubakia species based on the concatenated ITS, rpb2, tef, and tub2 sequence data. The best scoring RAxML tree had a final likelihood value of -10338.339. The tree was rooted with Paratubakia subglobosa (CBS 193.71) and Paratubakia subglobosoides (MUCC2293). Estimated base frequencies were as follows: A = 0.223, C = 0.298, G = 0.248, T = 0.231; substitution rates AC = 1.48724, AG = 4.21500, AT = 1.48724, CG = 1.00000, CT = 7.42148, GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Type strains are in bold. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.

149. Zasmidium Fr., Summa veg. Scand., Sectio Post. (Stockholm): 407 (1849)

Type species: Zasmidium cellare (Pers.) Fr.

Classification: Dothideomycetes, Mycosphaerellales, Mycosphaerellaceae

Background: Zasmidium was introduced by Fries (1849) with Z. cellare as the type species. The taxonomy of Zasmidium has been debatable due to its similarities with stenella-like hyphomycetes (Braun et al. 2013). Arzanlou et al. (2007) showed that Zasmidium is the oldest name for stenella-like hyphomycetes within Mycosphaerellaceae, which have conidiogenous loci and conidia with truncate hila (Bensch et al. 2012, Braun et al. 2013). Subsequently, numerous Stenella species were transferred to Zasmidium (Braun et al. 2010, 2013).

Distribution: worldwide (Farr & Rossman 2025)

Disease symptoms: Zasmidium mostly causes leaf spots in a wide range of host species (Fig. 49). The infection spots can be amphigenous, brown or blackish brown, circular to sub-circular or irregular, at first yellow or yellowish brown, later with pale centre and brown margin, coalescing and spreading to cover most of the leaf surface (e.g. Z. cassines, Z. dioscorinum, Z. fabaceicola, Z. micromeli, Z. pavettae, Z. robustum) (Phengsintham et al. 2013, Singh et al. 2014, Kharwar et al. 2015, Videira et al. 2017). Some Zasmidium infections do not cause leaf spots and infected areas only have chlorosis corresponding to the areas delimited by veins (e.g. Z. australiense) (Braun et al. 2013). Citrus greasy spot caused by Zasmidium citri-griseum is one of the most important fungal diseases in the USA. Infection typically shows yellow mottle on the upper surface of leaves and yellow-brown spots, slightly raised pustules on the lower surface, resulting in premature defoliation and yield reduction (Aguilera-Cogley & Vicent 2020). Some Zasmidium species infect fresh fruits causing sooty blotch and flyspeck disease. which are characterized by blemishes in the epicuticular wax layer, decreasing the aesthetic appearance and sale value of fresh-market fruits. For example, Li et al. (2012) described Zasmidium angulare from the surface of apple fruit, where it causes discrete specks consisting of shiny, black, irregular or rounded to angular sclerotium-like bodies. Subsequently, sooty blotch and flyspeck disease caused by Z. litseae were recorded from the petiole of Litsea glutinosa in China (Zhao et al. 2016).

Hosts: Zasmidium species have been recorded from a wide range of hosts worldwide. They have been recorded from Achyranthes aspera (Laos), Alocasia odora (China), Brabejum stellatifolium (South Africa), Daviesia mimosoides (Australia), Dioscorea oppositifolia (India), Elaeocarpus kirtonii (Australia), Eucalyptus sp. (Brazil, Colombia, Indonesia, Thailand), Geniostoma rupestre (New Zealand), Grevillea sp. (Australia), Hakea undulata (Australia), Ischyrolepis subverticillata (South Africa), Itea parviflora (China), Lonicera japonica (Korea), Lythrum salicaria (Poland), Mangifera indica (Thailand), Maianthemum bifolium (Poland), Malus domestica (USA), Musa sapientum (Australia, Europe), Pittosporum tenuifolium (New Zealand), Ravenala madagascariensi (China), Sasa sp. (Japan), Citrus limon (China, USA), Scaevola taccada (Australia), Schinus terebinthifolia (Brazil), Smilax china (China), Smilax glyciphylla (Australia), Smilax prolifera (India), Strelitzia nicolai (South Africa), Syzygium cordatum (South Africa), and Tsuga heterophylla (USA) (Hao et al. 2013, Phengsintham et al. 2013, Singh et al. 2014, Videira et al. 2017, Świderska-burek 2020, Tan et al. 2022, Armand et al. 2025, Farr & Rossman 2025).

Pathogen biology, disease cycle and epidemiology: The main source of inoculum is the ascospores for Zasmidium citri-griseum which is the cause of citrus greasy spot disease. Ascospores are deposited on the underside of the leaves, germinate and form epiphytic mycelia on the surface (Fig. 50). Appressoria form over stomata, and the fungus penetrates the leaf mesophyll. Even in highly susceptible species under favourable conditions, leaf colonization is very slow, with symptoms appearing after 45 to 60 days (Mondal & Timmer 2006, Aguilera-Cogley et al. 2017).

Morphological-based identification: Zasmidium has hyphomycetes asexual morphs and mycosphaerella-like sexual morphs (Videira et al. 2017). The members are saprobic or mostly biotrophic, usually foliicolous, symptomless or causing various lesions, ranging from yellowish discolourations to distinct leaf spots. Mycelium are mostly immersed or superficial; hyphae branched, septate, hyaline or pale olivaceous to brown, thin walled to somewhat thickened, immersed hyphae smooth or faintly rough, external hyphae distinctly verruculose to verrucose. Stromata are lacking to well-developed, pigmented. Conidiophores are solitary, arising from superficial hyphae, lateral, occasionally terminal. Conidia are solitary or catenate, in simple or branched acropetal chains, shape and size variable, ranging from amero- to scolecosporous, subhyaline to pigmented, pale olivaceous to brown, hila somewhat thickened and darkened-refractive, planate, conidial secession schizolytic. Species delimitation based on morphological characteristics, such as shape and size of conidia and conidiophores is difficult as these characteristics are often shared between species (Videira et al. 2017).

Molecular-based identification: Zasmidium are similar to Stenella based on morphology. A molecular revision (based on LSU) of Zasmidium and Stenella confirmed that they should be separated despite morphological similarities (Arzanlou et al. 2007). Some Zasmidium species cluster in Teratosphaeriaceae, whereas others are in Mycosphaerellaceae (Arzanlou et al. 2007). Consequently, Braun et al. (2010) reallocated some stenella-like species that clustered in Mycosphaerellaceae to Zasmidium. Most recently, Zasmidium taxonomy studies were based on multi-genes (LSU, ITS and rpb2) (Videira et al. 2017, An et al. 2021, Hongsanan et al. 2025). This study provides an updated phylogeny of Zasmidium based on combined LSU, ITS and rpb2 sequence data (Fig. 51, Table 25).

Recommended genetic markers (genus level): LSU, ITS

Recommended genetic markers (species level): LSU, ITS and rpb2

Accepted number of species: 56

References: Braun et al. (2010), (2013), Świderska-burek (2020) (morphology); Arzanlou et al. (2007), Hongsanan et al. (2020b), (2025), An et al. (2021) (phylogeny)

150. Zymoseptoria Quaedvl. & Crous, in Quaedvlieg, Kema, Groenewald, Verkley, Seifbarghi, Razavi, Mirzadi Gohari, Mehrabi & Crous, Persoonia 26: 64 (2011)

Type species: Zymoseptoria tritici (Roberge ex Desm.) Quaedvl. & Crous

Fig. 49. Zasmidium strelitziae on stem of Ravenala madagascariensi. a Flyspeck disease symptom. b-c Conidiophores. d Conidia. Scale bars: 10 µm. This picture is copyright of Guangyu Sun (Hao et al. 2013).
Table 25 DNA barcodes for accepted species of Zasmidium.
SpeciesStrainGenBank accession numbers
  LSUITSrpb2
Zasmidium angulareCBS 132094JQ622096JQ622088MF951690
Z. anthuriicolaCBS 118742FJ839662FJ839626MF951691
Z. arcuatumCBS 113477EU041836EU041779MF951692
Z. aucklandicumCPC 13569MF951280MF951409MF951733
Z. biverticillatumCBS 335.36EU041853EU041796N/A
Z. cellareCBS 146.36EU041878EU041821MF951693
Z. cerophillumCBS 103.59GU214485EU041798MF951694
Z. citri-griseum#CBS 122455KF902151KF901792MF951695
Z. communeCBS 142530KY979820NR_156003N/A
Z. corymbiaeCBS 145047NG_066279NR_161118MK047534
Z. daviesiaeCBS 116002FJ839669FJ839633MF951698
Z. ducasseiBRIP 53367N/ANR_164517N/A
Z. elaeocarpiCBS 142187MF951263MF951398MF951699
Z. eucalypticolaCBS 142186MF951265MF951400MF951701
Z. eucalyptorumCBS 118500MF951266KF901652MF951702
Z. faygaleaeBRIP 72890bOR673899OR673894OR680058
Z. fructicolaCBS 139625KP895922KP896052MF951703
Z. fructigenumCBS 139626KP895926KP896056MF951704
Z. grevilleaeCBS 124107FJ839670FJ839634MF951705
Z. gupoyuCBS 122099MF951267MF951401MF951706
Z. guttulatumCGMCC 3.28955PX214436PX214418PX640850
Z. hakeaeCBS 142185MF951268MF951402MF951707
Z. hakeicolaCBS 144590NG_066335NR_163384MK442687
Z. hydeiMBSZU 25-013PQ898039PQ898043PV016591
Z. indonesianumCBS 139627KF902086KF901739MF951710
Z. iteaeCBS 113094MF951271MF951405MF951711
Z. johnsoniaeBRIP 72385eN/AOP256852OP289001
Z. liboenseGUCC 1720.2MT712180MT683373MT700486
Z. longisporumCGMCC 3.28954PX214438PX214420PX640852
Z. lonicericolaCBS 125008KF251787KF251283MF951712
Z. mangiferae#MFLUCC 24-0391PQ638521PQ639273N/A
Z. mangroveiCBS142048MW046214KY290860N/A
Z. morrisoniaeBRIP 70485aPP707924PP707907PP712796
Z. musae#CBS 121384MF951272EU514292MF951713
Z. musae-banksiiCBS 121710EU041852EU041795MF951716
Z. musicolaCBS 122479MF951275EU514294MF951717
Z. musigenumCBS 190.63EU041857EU041800MF951718
Z. nancybirdwaltoniaeBRIP 72888bN/AOR290131N/A
Z. nocoxiCBS 125009KF251788KF251284MF951719
Z. pearceaeBRIP 72388bN/AOP023117OP021641
Z. pitosporiCBS 122274MF951276MF951406MF951720
Z. podocarpiCBS 142529KY979821NR_156004N/A
Z. proteacearumCBS 116003FJ839671FJ839635MF951721
Z. pseudoparkiiCBS 110999JF700965DQ303023MF951723
Z. pseudotsugaerapssdEF114704EF114687N/A
Z. pseudovespaCBS 121159KF901836MF951407MF951724
Z. queenslandicumCBS 122475MF951277EU514295MF951725
Z. scaevolicolaCBS 127009KF251789KF251285MF951726
Z. schiniCBS 142188MF951278MF951408MF951727
Z. strelitziaeCBS 121711EU041860EU041803MF951729
Z. suregadaeP36KC677939KC677914N/A
Z. syzygiiCBS 133580KC005798KC005777MF951730
Z. thailandicumCBS 145027NG_066342NR_164463N/A
Z. tsugaeratstkEF114705EF114688N/A
Z. velutinumCBS 101948EU041838EU041781MF951731
Z. xenoparkiiCBS 111185JF700966DQ303028MF951732

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A. Species confirmed with pathogenicity studies are marked with #.

Classification: Dothideomycetes, Capnodiales, Mycosphaerellaceae

Background: Quaedvlieg et al. (2011) introduced Zymoseptoria to accommodate Septoria-like species occurring on graminicolous hosts based on the LSU sequences. Zymoseptoria species produce yeast-like growth in culture and produce three different types of conidia. Zymoseptoria tritici and Zy. passerinii are well-known pathogens (Quaedvlieg et al. 2011). It was suggested that Zymoseptoria species became pathogens during wheat domestication as they are mostly found in natural and domesticated grasses (Stukenbrock et al. 2007).

Distribution: worldwide (Farr & Rossman 2025)

Disease symptoms: Zymoseptoria tritici is the most damaging pathogen of wheat (Triticum aestivum) in Europe and an important pathogen in all major wheat growing

Fig. 50. Disease cycle of a Zasmidium species. Redrawn from Futch (2001).

countries worldwide (Fones and Gurr 2015). Septoria tritici blotch caused by Zymoseptoria tritici is characterized by necrotic lesions on leaves or stems. The lesions then enlarge with a light tan and develop darker-colored fruiting bodies (Ponomarenko et al. 2011). Zymoseptoria passerinii causes septoria speckled leaf blotch on barley (Hordeum vulgare) (Mathre 1997, Cunfer & Ueng 1999, Goodwin & Zismann 2001, Ware et al. 2007, Fig. 52).

Hosts: Zymoseptoria ardabiliae was isolated from Lolium sp. in Iran (Stukenbrock et al. 2012) while Zy. brevis was isolated from Phalaris sp. in Iran (Quaedvlieg et al. 2011). Zymoseptoria halophila and Zy. passerinii were isolated from Hordeum sp. from Iran and Italy (Quaedvlieg et al. 2011). Zymoseptoria pseudotritici was found in Dactylis sp. in Iran (Stukenbrock et al. 2012). Zymoseptoria tritici was found in Triticum sp. in France (Quaedvlieg et al. 2011). Zymoseptoria verkleyi was found in Poa annua in the Netherlands (Crous et al. 2012) and Zy. crescenta from Aegilops triuncialis in Iran (Crous et al. 2018).

Pathogen biology, disease cycle and epidemiology: Zymoseptoria tritici is the causal agent of septoria tritici blotch. Initially, the spores of Zy. tritici are splash dispersed during rainstorms as they need humid conditions for successful infection. After landing on the leaves of host plants, the spores produce a germ tube that enters the host leaf via the stomata. Initial growth appears to be biotrophic but it switches to necrotrophic growth beginning up to two weeks after penetration and epidemics can develop rapidly (Shaw & Royle 1993, Kema et al. 1996, Ponomarenko et al. 2011, Fig. 53). The next growing season will be continuous if debris from heavily infected leaves and stems remains in fields after harvest (Ponomarenko et al. 2011).

Morphological-based identification: Zymoseptoria is characterized by forming different types of conidia in vitro (pycnidial, phragmosporous and yeast-like) (Quaedvlieg et al. 2011). Conidia can be hyaline, narrowly cylindrical to subulate, tapering towards an acutely rounded apex with a bluntly rounded to truncate base, and transversely euseptate. Phragmosporous conidia are microcyclic conidiation with yeast-like growth and microcyclic conidia have also been reported (Quaedvlieg et al. 2011).

Molecular-based identification: Zymoseptoria is a segregation of grass-inhabiting species which cluster apart from Septoria sensu stricto (Quaedvlieg et al. 2011). Both single gene (LSU) and multi-locus datasets (act, cal, rpb2, tub2 and ITS) will resolve the identity of Septoria-like species occurring on graminicolous hosts (Quaedvlieg et al. 2011). This study provides an updated phylogeny of Zymoseptoria based on combined act, cal, ITS, tub2, rpb2, LSU and tef sequence data (Fig. 54, Table 26).

Recommended genetic markers (genus level): ITS and rpb2

Recommended genetic markers (species level): act, cal, ITS, tub2, rpb2, LSU and tef

Fig. 51. Maximum likelihood tree of Zasmidium species based on the concatenated LSU, ITS and rpb2 sequence data. The best scoring RAxML tree had a final likelihood value of -18887.668. The tree was rooted with Nothopericoniella perseamacranthae (CBS 122097 and CBS 122282). Estimated base frequencies were as follows: A = 0.240, C = 0.258, G = 0.289, T = 0.213; substitution rates AC = 1.26001, AG = 3.69613, AT = 1.26001, CG = 1.00000, CT = 7.66522, GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Type strains are in bold. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.
Table 26 DNA barcodes for accepted species of Zymoseptoria.
SpeciesStrainGenBank accession numbers
  actcalITStub2rpb2LSUtef
Zymoseptoria ardabiliaeCBS 130977JN982477JN982479JQ739806JN982485JN982483JQ739846JQ739790
Zy. brevisCBS 128853JF701036JF701104JF700867JF700968JF700798JQ739833JQ739777
Zy. crescentaCPC 24053N/AN/AMH259304N/AMH271695MH267287MH271694
Zy. halophilaCBS 128854JF701045JF701113JF700876JF700977JF700808JQ739842JQ739786
Zy. passeriniiCBS 120384JF701047JF701115JF700878JF700979JF700810JQ739844JQ739788
Zy. pseudotriticiCBS 130976JN982476JN982478JN982480JN982484JN982482JQ739828JQ739772
Zy. sheehyskeffingtoniaeBRIP 71809aOR964971N/AOR947073N/AOR964972OR947080OR964973
Zy. triticiCBS 392.59JF701055JF701123AY152603JF700987JF700818JQ739850JQ739794
Zy. verkleyiCBS 133618N/AN/AKC005781N/AN/AKC005802N/A

Ex-type/ex-epitype/ex-neotype/ex-lectotype strains and voucher strains are in bold. Sequences that are not available are represented by N/A.

Fig. 52. Zymoseptoria sp. a Disease symptom of Z. crescent on leaves of Aegilops triuncialis. b Pycnidium of Z. brevis on the leaves of Hordeum vulgare. c Conidiogenous cell of Z. passerinii. d-f Conidia (d: Type I, e: Type II and f: Type III). Scale bars = 10 µm. This picture is copyright of Pedro Crous (Quaedvlieg et al. (2011) and Chen et al. (2022)).

Accepted number of species: nine

References: Stukenbrock et al. (2007), Ponomarenko et al. (2011), Quaedvlieg et al. (2011) (morphology and phylogeny)

Fungal pathogens pose significant threats to agriculture, forestry, and human health, causing devastating diseases. The impact of fungal pathogens on global food security is increasingly pronounced under intensifying agricultural practices, climate change, and expanding international trade. Despite substantial advances in fungal systematics and molecular phylogenetics, knowledge of pathogenic genera remains taxonomically fragmented and inconsistently synthesized, limiting comparative evolutionary analyses and constraining disease diagnostics and management strategies. The “One Stop Shop series” not only provides updated backbone trees and comprehensive information on plant pathogens, but also consolidates scattered data into a single accessible resource at http://www.onestopshopfungi.org. This work enhances taxonomic clarity and facilitates cross-genus comparisons critical for understanding host specificity, pathogenic evolution, and lineage diversification. The introduction of the novel species Dichotomophthora conlute

Fig. 53. Disease cycle of Zymoseptoria tritici the causal agent of septoria tritici blotch. Redrawn from Ponomarenko et al. (2011).
Fig. 54. Maximum likelihood tree of Zymoseptoria species based on the concatenated act, cal, ITS, tub2, rpb2, LSU and tef sequences. The best scoring RAxML tree had a final likelihood value of -7943.951. The tree was rooted with Ramularia eucalypti (CBS 120726) and R. gaultheriae (CBS 299.80). Estimated base frequencies were as follows: A = 0.235, C = 0.283, G = 0.268, T = 0.214; substitution rates AC = 2.18805, AG = 3.38306, AT = 2.18805, CG = 1.00000, CT = 7.61291, GT = 1.000000. ML bootstrap support values over 70% and Bayesian posterior probabilities (BPP) greater than 0.95 are indicated. Type strains are in bold. Scale bar indicates the number of substitutions per site. Hyphens (-) represent support values less than BS 70%/BPP 0.95.

together with the new combinations Digitiseta chiangmaiensis and Myxospora thailandica, further refines the current systematic frameworks and underscores the dynamic nature of fungal taxonomy. These taxonomic updates not only contribute to nomenclatural stability but also have practical implications for accurate pathogen identification, surveillance, and quarantine efforts.

The study of fungal pathogens relies on interdisciplinary collaboration including microbiology, genetics, ecology, and agronomy. Collectively, this study strengthens the foundation for integrative plant pathology research by linking updated phylogenetic frameworks with applied disease knowledge. Nevertheless, continued incorporation of genome-scale datasets, expanded geographic sampling, and integration of functional and epidemiological data will be essential to maintain relevance and improve predictive capacity in the face of emerging pathogens.

This work was supported by the following projects: the Natural Science Special Research Fund of Guizhou University, Special Post Gui Da Ling Jun He Zi [2024] 07), National Natural Science Foundation of China (Grant no. 31972222), Program of Introducing Talents of Discipline to Universities of China (111 Program, D20023), and Guizhou Key Laboratory of Agricultural Biosecurity [Qian Ke He ZSYS (2025)024]. Chitrabhanu S. Bhunjun would like to thank the National Research Council of Thailand (NRCT) grant “Diversity and application of micro-fungi in Northern Thailand for agricultural waste degradation” (Grant no. N42A690265). The authors extend their appreciation to Taif University for supporting this work through the Highly Cited Researchers Supporting Project (TURSP-HC2026/13), Taif University, Saudi Arabia. Samantha C. Karunarathna and Saowaluck Tibpromma thank the National Natural Science Foundation of China (No. 32260004), the High-Level Talent Recruitment Plan of Yunnan Province, and the Key Laboratory of Yunnan Provincial Department of Education of the Deep-Time Evolution on Biodiversity from the Origin of the Pearl River. Chitrabhanu S Bhunjun sincerely thanks Dr. Chada Norphanphoun, Dr. Danushka Tennakoon, Dr. Prof. Guangyu Sun, Dr. Guillermo Márquez Licona, Prof. Jian-Kui (Jack) Liu, Dr. Mubashar Raza, Prof. Pedro Crous, Dr. Qian Chen, Prof. Thomas C. Harrington, Dr. Timothy L Friesen and Dr. Yan-Feng Han for granting permission to utilise the images in this publication. The authors also thank Dr. Shaun Pennycook from Manaaki Whenua, Landcare Research, New Zealand.

The author contributions are already provided at the start of the paper under “Table of Contents and contributors”

Chitrabhanu S Bhunjun: https://orcid.org/0000-0001-8098-3390

Yong Wang: https://orcid.org/0000-0003-3831-2117

Feng-Quan Liu: https://orcid.org/0000-0001-8999-9241

The author list includes members of the Editorial Board of Fungal Diversity. They were not involved in the journal’s review of, or decisions related to, this manuscript. The authors declare no competing interests.

All sequences generated in this study were submitted to GenBank.

The online version contains supplemental information available at https://doi.org/10.65390/fdiv.2026.136009. The maximum likelihood tree of Myrothecium and related genera in Stachybotryaceae is provided in Supplementary File S1.

Supplementary File to this study.

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