Abstract
Aspergillus series Versicolores members occur in a wide range of environments and substrates such as indoor environments, food, clinical materials, soil, caves, marine or hypersaline ecosystems. The taxonomy of the series has undergone numerous re-arrangements including a drastic reduction in the number of species and subsequent recovery to 17 species in the last decade. The identification to species level is however problematic or impossible in some isolates even using DNA sequencing or MALDI-TOF mass spectrometry indicating a problem in the definition of species boundaries. To revise the species limits, we assembled a large dataset of 518 strains. From these, a total of 213 strains were selected for the final analysis according to their calmodulin (CaM) genotype, substrate and geography. This set was used for phylogenetic analysis based on five loci (benA, CaM, RPB2, Mcm7, Tsr1). Apart from the classical phylogenetic methods, we used multispecies coalescence (MSC) model-based methods, including one multilocus method (STACEY) and five single-locus methods (GMYC, bGMYC, PTP, bPTP, ABGD). Almost all species delimitation methods suggested a broad species concept with only four species consistently supported. We also demonstrated that the currently applied concept of species is not sustainable as there are incongruences between single-gene phylogenies resulting in different species identifications when using different gene regions. Morphological and physiological data showed overall lack of good, taxonomically informative characters, which could be used for identification of such a large number of existing species. The characters expressed either low variability across species or significant intraspecific variability exceeding interspecific variability. Based on the above-mentioned results, we reduce series Versicolores to four species, namely A. versicolor, A. creber, A. sydowii and A. subversicolor, and the remaining species are synonymized with either A. versicolor or A. creber. The revised descriptions of the four accepted species are provided. They can all be identified by any of the five genes used in this study. Despite the large reduction in species number, identification based on phenotypic characters remains challenging, because the variation in phenotypic characters is high and overlapping among species, especially between A. versicolor and A. creber. Similar to the 17 narrowly defined species, the four broadly defined species do not have a specific ecology and are distributed worldwide. We expect that the application of comparable methodology with extensive sampling could lead to a similar reduction in the number of cryptic species in other extensively studied Aspergillus species complexes and other fungal genera.
Citation: Sklenář F, Glässnerová K, Jurjević Ž, Houbraken J, Samson RA, Visagie CM, Yilmaz N, Gené J, Cano J, Chen AJ, Nováková A, Yaguchi T, Kolařík M, Hubka V (2022). Taxonomy of Aspergillus series Versicolores: species reduction and lessons learned about intraspecific variability. Studies in Mycology 102 : 53–93. doi: 10.3114/sim.2022.102.02
Keywords: Aspergillus creber, Aspergillus sydowii, Aspergillus versicolor, indoor fungi, multispecies coalescent model, osmotolerance, species delimitation, sterigmatocystin
INTRODUCTION
Aspergillus is an important genus of filamentous fungi with almost 450 accepted species and a large number of newly described species every year since the advent of molecular phylogenetics (Houbraken et al. 2020). The taxonomy of the clade comprising A. versicolor and related species has been turbulent and the clade is now recognized as series Versicolores within the section Nidulantes. Originally, the ‘Aspergillus versicolor group’ was introduced by Thom & Church (1926) and later revised by Thom & Raper (1945) who accepted four species. Raper & Fennell (1965) then expanded the group to 18 species, but only two of those species remained in the series in its current form. Because group is not a recognized taxonomic rank, Gams et al. (1985) replaced groups with sections and created section Versicolores. Kozakiewicz (1989) reallocated seven species from section Versicolores to other sections based on the evaluation of conidial surface ornamentation using scanning electron microscope. Klich (1993) revised the section using cluster analysis by average linkage based on macro- and micromorphological measurements. As a result, the species removed by Kozakiewicz (1989) were transferred back to the section and the section was expanded again to contain 23 species. Peterson (2008) performed the first comprehensive revision of Aspergillus using DNA sequence data, including data from benA, CaM, RPB2 and ITS-LSU region of rDNA. The preceding conceptions of the section were shattered as only A. versicolor and A. sydowii remained in the phylogenetically defined section. Other species were transferred into different sections, mainly sections Usti and Nidulantes. In addition, the whole section was considered superfluous because of its internal phylogenetic position within section Nidulantes. Jurjević et al. (2012) analyzed strains closely related to A. versicolor and A. sydowii which were collected mainly from the indoor environments in the USA, and obtained from the NRRL culture collection. They performed a phylogenetic analysis based on DNA sequences from six loci, accepted A. amoenus, A. protuberus, A. sydowii, A. tabacinus and A. versicolor as section members and proposed nine new species. As a result, the number of accepted species increased to 14. The authors also suggested that the section rank should be retained because it forms a monophyletic cluster, and the designation is broadly used in practice. Hubka et al. (2016) considered the concept of section Versicolores untenable as it formed only a clade within section Nidulantes, confirming the result of Peterson (2008). Houbraken et al. (2020) expanded the classification of Aspergillus with the series rank and reduced section Versicolores to series level. Since the expansion of series Versicolores by Jurjević et al. (2012), three additional species have been described, increasing the total number of accepted species to 17. Visagie et al. (2014) described A. griseoaurantiacus from house dust in Micronesia, Thailand and Mexico, Tsang et al. (2016) described A. hongkongensis from a human clinical sample collected in Hong Kong, and Jakšić Despot et al. (2017) described A. pepii from indoor air in a grain mill in Croatia.
The representatives of series Versicolores are often described as ubiquitous because they are frequently isolated from a wide range of substrates, mainly soil, indoor environments, food, feed, plants, caves, and clinical material (Domsch et al. 2007, Pitt & Hocking 2009, Jurjević et al. 2012, Zahradnik et al. 2013, Siqueira et al. 2016, Nováková et al. 2018). Series Versicolores members are xerophilic, which means that they can grow on substrates with a low water activity (aw < 0.9) (Janda-Ulfig et al. 2009, González-Abradelo et al. 2019). The abundant presence of these species in indoor environments and bioaerosols increases their potential to pose health risks to humans (Micheluz et al. 2015, Géry et al. 2021). The spores of these species can cause allergies, aggravate asthma and they are associated with sick building syndrome (Schwab & Straus 2004, Géry et al. 2022). Almost all species can also produce mycotoxins, most notably sterigmatocystin, which is recognized as a potential carcinogen (class 2B - possible human carcinogen) (Veršilovskis & De Saeger 2010, Rank et al. 2011, Jurjević et al. 2013, Jakšić Despot et al. 2017). There are also numerous reports on the isolation of series Versicolores species from human and animal clinical specimens and rare cases of proven or suspected infections (Siqueira et al. 2016, Bongomin et al. 2018, Borgohain et al. 2019, Jia et al. 2019, Swain et al. 2020).
There are many studies reporting the isolation of bioactive compounds from series Versicolores, showing the great potential of these fungi for biotechnology, e.g. diphenyl ethers with antimicrobial and cytotoxic activity from A. tennesseensis, beta-glucosidase applicable in cellulose degradation from A. versicolor, or chitinase with antifungal activity from A. griseoaurantiacus (Kato et al. 2015, Li et al. 2018, Shehata et al. 2018, Sakhri et al. 2019, Danagoudar et al. 2021, Dobolyi et al. 2021, Huang et al. 2021). Genome sequences for seven species from the series have been deposited to the NCBI GenBank database [accessed 23rd of March 2022]. Among the most notable findings, the sterigmatocystin biosynthetic gene cluster was found to be absent for A. sydowii, explaining the inability of this species to produce this mycotoxin (Rank et al. 2011). Additionally, mating-type loci (both MAT-1-1-1 and MAT-1-2-1), which are crucial for sexual development, are present in the genomes of series Versicolores species, suggesting their heterothallic mode of reproduction, even though the sexual state is yet to be observed (De Vries et al. 2017).
The correct identification of series Versicolores species is of great importance as evidenced by their diverse above-mentioned significances. However, a large part of these species cannot be identified morphologically due to their similarity or high intraspecific variability (Jurjević et al. 2012, Siqueira et al. 2016, Géry et al. 2021). Additionally, the broadly used identification method MALDI-TOF MS (matrix-assisted laser desorption ionization time-of-flight mass spectrometry) is not able to discriminate species within the series. This significantly limits the possibilities of correct identification, especially in clinical practices (Vidal-Acuña et al. 2018, Imbert et al. 2019, Shao et al. 2022). There is also increasing evidence that some isolates cannot be reliably identified with sequence data because BLAST similarity searches with different genes result in different identifications (our observations and personal communication). These problems may indicate that the concept of species is too narrow and motivated the present taxonomic revision.
One requirement of the species delimitation methods, which often fails to be met in studies involving fungi, is the presence of within-species variability which is ensured by the quality of sampling in terms of geography and/or substrates (Ahrens et al. 2016, Sklenář et al. 2020). Without large enough depth of sampling, boundaries between intraspecific and interspecific variability can easily be misinterpreted. Thanks to the omnipresence of series Versicolores and the ease of their isolation, these species represent the perfect model group for studying species limits on a large scale. For this study, we assembled a collection of more than 500 isolates from various substrates and continents. A subset of genetically unique isolates was subjected to the detailed analysis by various phylogenetic methods building upon the previous studies using this approach for Aspergillus (Sklenář et al. 2017, Hubka et al. 2018, Sklenář et al. 2021). Aside from the phylogenetic part, we also studied traditional phenotypic characters including micromorphology, macromorphology on eight cultivation media, and the growth rate at different temperatures and in an osmotic gradient. The synthesis of the resulting data and the consideration of practical taxonomic implications have led to the proposal of a drastic reduction in the number of species as detailed below.
MATERIALS AND METHODS
Strains
Some strains and/or DNA sequences were obtained from previously published studies of Jurjević et al. (2012) and Siqueira et al. (2016), which focused on the indoor environment and clinical material in the USA, respectively. Furthermore, we included strains from various countries and substrates deposited in culture collections such as CBS culture collection housed at the Westerdijk Fungal Biodiversity Institute (WI), working collection DTO of the Food and Indoor Mycology department housed at the WI, Culture Collection of Fungi, Department of Botany, Charles University (CCF, Czech Republic), working collections of the Applied Mycology group (CN) and the Forestry and Agricultural Biotechnology Institute (CMW) at the University of Pretoria (South Africa), and China General Microbiological Culture Collection Center (CGMCC, China). Additionally, we supplemented the dataset with newly isolated strains mainly originating from the indoor environment and caves. The isolation techniques mostly followed the procedures described by Jurjević et al. (2015), Nováková et al. (2012) and Nováková et al. (2018). Detailed information about the provenance of strains is listed in Table 1.
Table 1.
Aspergillus series Versicolores strains examined in this study.
| Species | Strain No.1 | Provenance (locality, substrate, year of isolation, isolator/collector) |
GenBank/ENA/DDBJ accession Nos.
|
|||||
|---|---|---|---|---|---|---|---|---|
| ITS | benA | CaM | RPB2 | Mcm7 | Tsr1 | |||
| A. creber | NRRL 58592T = IBT 32277T = DTO 225-G7T = CBS 145749T | USA, CA, indoor air, 2008, Ž. Jurjeviæ | NR_135442 | JN853980 | JN854043 | JN853832 | JQ301890 | JN853887 |
| EMSL 4757 | USA, MO, Festus, basement, swab, 2018, Ž. Jurjeviæ | – | ON807803 | ON807940 | ON808233 | ON808106 | ON808375 | |
| NRRL 58672 | USA, GA, indoor air, 2009, Ž. Jurjeviæ | – | JN853992 | JN854055 | JN853844 | JN854122 | JN853878 | |
| UTHSCSA 09-3357 = FMR 14151 | USA, PA, bronchoalveolar lavage, 2009, D.A. Sutton | LN898684 | LN898838 | LN898761 | LN898915 | ON808105 | ON808374 | |
| NRRL 58675 | USA, OH, indoor air, 2009, Ž. Jurjeviæ | – | JN853994 | JN854058 | JN853847 | JN854124 | JN853891 | |
| NRRL 58612 | USA, NJ, indoor air, 2009, Ž. Jurjeviæ | – | JN853990 | JN854051 | JN853840 | JN854121 | JN853880 | |
| UTHSCSA 03-2409 = FMR 14132 | USA, TX, hospital air, 2003, D.A. Sutton | LN898681 | LN898835 | LN898758 | LN898912 | ON808104 | – | |
| NRRL 58607 | USA, PA, indoor air, 2009, Ž. Jurjeviæ | – | JN853989 | JN854050 | JN853839 | JN854120 | JN853890 | |
| UTHSCSA 10-1327 = FMR 14201 | USA, MN, human nail, 2010, D.A. Sutton | LN898687 | LN898841 | LN898764 | LN898918 | ON808103 | – | |
| DTO 180-A5 = KAS 3914 | South Africa, house dust, 2010, C.M. Visagie | – | ON807802 | ON807939 | ON808232 | ON808102 | ON808373 | |
| NRRL 58601 | USA, NJ, indoor air, 2009, Ž. Jurjeviæ | – | JN853987 | JN854047 | JN853836 | JN854119 | JN853882 | |
| S 478 | Spain, Cueva del Tesoro, cave sediment, 2012, A. Nováková | – | ON807801 | ON807938 | ON808231 | ON808101 | ON808372 | |
| DTO 357-E7 | Netherlands, cystic fibrosis patient, between 2011–2013, collector unknown | – | ON807800 | ON807937 | ON808230 | ON808100 | ON808371 | |
| NRRL 58673 | USA, GA, indoor air, 2009, Ž. Jurjeviæ | – | JN853993 | JN854056 | JN853845 | JN854123 | JN853889 | |
| DTO 319-E4 = IBT 26409 | Greenland, Pakitsoq, ice sample (approximately 11500 years old), 2014, J.C. Frisvad | – | ON807799 | ON807936 | ON808229 | ON808099 | ON808370 | |
| S 216 | Romania, Magura Cave, bat guano, 2009, A. Nováková | – | ON807798 | ON807935 | ON808228 | ON808098 | ON808369 | |
| DTO 319-D6 = IBT 22306 | USA, MD, indoor air, 2014, B. Jarvis | – | ON807797 | ON807934 | ON808227 | ON808097 | ON808368 | |
| EMSL 4775 | USA, WA, Shoreline, bathroom - swab, 2018, Ž. Jurjeviæ | – | ON807796 | ON807933 | ON808226 | ON808096 | ON808367 | |
| NRRL 58587 | USA, CA, indoor air, 2008, Ž. Jurjeviæ | – | JN853985 | JN854042 | JN853831 | JN854118 | JN853886 | |
| CGMCC 3.05281 | China, fruit peel, 1999, collector unknown | – | ON807795 | ON807932 | ON808225 | ON808095 | ON808366 | |
| S 448 | Spain, Cueva del Tesoro, cave sediment, 2012, A. Nováková | – | ON807794 | ON807931 | ON808224 | ON808094 | ON808365 | |
| S 321 | Slovakia, Demanovská Peace Cave, dead marten, 2011, A. Nováková | – | ON807793 | ON807930 | ON808223 | ON808093 | ON808364 | |
| CMW-IA 29 = CMW 58631 = CN 090-F5 | South Africa, Goeiehoek Silo, Gauteng, soybean, 2020, S. Bezuidenhout | – | ON807792 | ON807929 | ON808222 | ON808092 | ON808363 | |
| UTHSCSA 14-188 = FMR 14168 | USA, DE, bronchoalveolar lavage, 2014, D.A. Sutton | LN898685 | LN898839 | LN898762 | LN898916 | ON808091 | – | |
| EMSL 4759 | USA, NY, Buffalo, bathroom wall - swab, 2018, Ž. Jurjeviæ | – | ON807791 | ON807928 | ON808221 | ON808090 | ON808362 | |
| NRRL 58670 | USA, NJ, indoor air, 2009, Ž. Jurjeviæ | – | JN853991 | JN854053 | JN853842 | – | JN853888 | |
| NRRL 58584 | USA, PA, indoor air, 2008, Ž. Jurjeviæ | – | JN853984 | JN854041 | JN853830 | – | JN853894 | |
| NRRL 13147 = CBS 145753 = DTO 225-F4 (ex-type of A. venenatus) | USA, TN, toxic dairy cattle feed, 1984, B.W. Horn | JQ301896 | JN854003 | JN854014 | JN853803 | JN854129 | JN853876 | |
| EMSL 4847 | USA, NJ, Trenton, office building – indoor air, 2018, Ž. Jurjeviæ | – | ON807809 | ON807947 | ON808240 | ON808113 | ON808382 | |
| NRRL 35641 = CBS 145750 = DTO 225-G5 = IBT 32284 (ex-type of A. puulaauensis) | USA, HI, dead hardwood branch, 2003, D.T. Wicklow | JQ301893 | JN853979 | JN854034 | JN853823 | JN854127 | JN853895 | |
| CCF 5173 | Czech Republic, Prague, mouse excrements in seed store, 2000, J. Hubert | – | OP762559 | ON807946 | OP762579 | OP762565 | OP762573 | |
| UTHSCSA 11-1436 = FMR 14159 | USA, WA, bronchoalveolar lavage, 2014, D.A. Sutton | LN898715 | LN898869 | LN898792 | LN898946 | OP688453 | – | |
| S 376 | Spain, Cueva del Tesoro, cave sediment, 2012, A. Nováková | – | ON807808 | ON807945 | ON808238 | ON808111 | ON808380 | |
| DTO 321-G4 | Netherlands, polyethylene foil, 2014, J. Houbraken | – | ON808380 | ON807944 | ON808237 | ON808110 | ON808379 | |
| S 344 | Slovakia, Šingliarova Abyss, organic matter in cave, 2008, A. Nováková | – | ON807806 | ON807943 | ON808236 | ON808109 | ON808378 | |
| NRRL 58602 | USA, WV, indoor air, 2009, Ž. Jurjeviæ | – | JN853999 | JN854048 | JN853837 | JN854128 | JN853896 | |
| S 191 | Romania, Meziad Cave, bat droppings, 2009, A. Nováková | – | ON807805 | ON807942 | ON808235 | ON808108 | ON808377 | |
| DTO 324-F6 | Netherlands, cystic fibrosis patient, 2014, collector unknown | – | ON807804 | ON807941 | ON808234 | ON808107 | ON808376 | |
| CGMCC 3.07849 | China, 2005, substrate unknown, 2005, collector unknown | – | ON807790 | ON807927 | ON808220 | ON808089 | ON808361 | |
| NRRL 58593 | USA, CA, indoor air, 2008, Ž. Jurjeviæ | – | JN853998 | JN854044 | JN853833 | JN854111 | JN853869 | |
| DTO 019-A3 | USA, NJ, soil, isolation date and collector unknown | – | ON807789 | ON807926 | ON808219 | ON808088 | ON808360 | |
| UTHSCSA 10-479 = FMR 14153 | USA, OH, hospital air, 2010, D.A. Sutton | LN898695 | LN898849 | LN898772 | LN898926 | ON808087 | ON808359 | |
| NRRL 230 | China, soy sauce, 1917, Round | – | JN853973 | JN854023 | JN853812 | JN854109 | JN853867 | |
| NRRL 4642 | Unknown, 1969 | EF652467 | JN853975 | EF652379 | EF652203 | JN854110 | JN853868 | |
| NRRL 227 = CBS 599.65 = ATCC 16853 = IMI 211379 (ex-type of A. cvjetkovicii) | USA, New Jersey, soil, 1915, G.W. Wilson | EF652440 | EF652264 | EF652352 | EF652176 | JN854108 | JN853866 | |
| CMW-IA 30 = CMW 58632 = CN 093-G3 | South Africa, Free State, Kroonstad, maize (white), 2020, C.M. Visagie | – | ON807788 | ON807925 | ON808218 | ON808086 | ON808358 | |
| CMW-IA 31 = CMW 58633 = CN 096-A1 | South Africa, Mpumalanga, Bethal, soybean, 2020, S. Bezuidenhout | – | ON807787 | ON807924 | ON808217 | ON808085 | ON808357 | |
| CMW-IA 27 = CMW 58629 = CN 089-A2 | South Africa, Gauteng, Afrikaskop, soybean, 2020, S. Bezuidenhout | – | ON807786 | ON807923 | ON808216 | ON808084 | ON808356 | |
| CMW-IA 33 = CMW 58635 = CN 116-D2 | South Africa, Free State, Heuningspruit, sunflower, 2020, C.M. Visagie | – | ON807785 | ON807922 | ON808215 | ON808083 | ON808355 | |
| DTO 319-F2 = IBT 28293 | Denmark, Fano, seawater, 2014, E.K. Lynne | – | ON807784 | ON807921 | ON808214 | ON808082 | ON808354 | |
| DTO 319-D2 = IBT 14828 | United Kingdom, wheat, 2014, M. Hetmanski | – | ON807783 | ON807920 | ON808213 | ON808081 | ON808353 | |
| DTO 268-C6 | Uruguay, Montevideo, house dust, 2008, Z. Torrano | – | ON807782 | ON807919 | ON808212 | ON808080 | ON808352 | |
| S 384 | Spain, Nerja Cave, cave sediment, 2012, A. Nováková | – | ON807781 | ON807918 | ON808211 | ON808079 | ON808351 | |
| CMW-IA 25 = CMW 58627 = CN 088-I9 | South Africa, Gauteng, Afrikaskop, soybean, 2020, S. Bezuidenhout | – | ON807780 | ON807917 | ON808210 | ON808078 | ON808350 | |
| CMW-IA 28 = CMW 58630 = CN 089-A3 | South Africa, Gauteng, Afrikaskop, soybean, 2020, S. Bezuidenhout | – | ON807779 | ON807916 | – | ON808077 | ON808349 | |
| CMW-IA 26 = CMW 58628 = CN 089-A1 | South Africa, Gauteng, Afrikaskop, soybean, 2020, S. Bezuidenhout | – | ON807778 | ON807915 | ON808209 | ON808076 | ON808348 | |
| NRRL 13150 = CBS 145752 = DTO 225-F5 = IBT 32283 (ex-type of A. tennesseensis) | USA, TN, toxic dairy cattle feed, 1984, B.W. Horn | JQ301895 | JN853976 | JN854017 | JN853806 | JN854113 | JN853872 | |
| CCF 5066 | Spain, Nerja Cave, cave air, 2011, A. Nováková | – | OP762558 | ON807914 | OP762578 | OP762564 | OP762572 | |
| CMW-IA 24 = CMW 58636 = CN 116-D4 | South Africa, Free State, Heuningspruit, sunflower, 2020, C.M. Visagie | – | ON807776 | ON807913 | ON808207 | ON808074 | ON808346 | |
| CMW-IA 23 = CMW 58625 = CN 066-E9 | South Africa, Gauteng, Afrikaskop, soybean, 2020, S. Bezuidenhout | – | ON807775 | ON807912 | ON808206 | ON808073 | ON808345 | |
| NRRL 229 | Unknown, 1917, R. Thaxter | – | JN853972 | JN854022 | JN853811 | – | JN853870 | |
| DTO 178-C5 = KAS 3787 | South Africa, house dust, 2010, C.M. Visagie | – | ON807774 | ON807911 | ON808205 | ON808072 | ON808344 | |
| DTO 019-A6 = CBS 556.90 | Japan, dried Lentinus edodes, 1990, J.C. Frisvad | – | ON807773 | ON807910 | ON808204 | ON808071 | ON808343 | |
| CGMCC 3.05345 | China, moon cake, 1999 | – | ON807772 | ON807909 | ON808203 | ON808070 | ON808342 | |
| CGMCC 3.05331 | China, moldy oil, 1999 | – | ON807771 | ON807908 | ON808202 | ON808069 | ON808341 | |
| DTO 321-F4 | Netherlands, cystic fibrosis patient material, between 2011–2013 | – | ON807770 | ON807907 | ON808201 | ON808068 | ON808340 | |
| S 475 | Spain, Nerja Cave, cave air, 2012, A. Nováková | – | ON807769 | ON807906 | ON808200 | ON808067 | ON808339 | |
| S 139 | Romania, Limanu Cave, cave air, 2012, A. Nováková | – | ON807768 | ON807905 | ON808199 | ON808066 | ON808338 | |
| S 309 | Slovakia, Ardovská Cave, cave air, 2009, A. Nováková | – | ON807767 | ON807904 | ON808198 | ON808065 | ON808337 | |
| UTHSCSA 10-71 = FMR 14200 | USA, CT, bronchoalveolar lavage, 2010, D.A. Sutton | LN898703 | LN898857 | LN898780 | LN898934 | ON808064 | ON808336 | |
| UTHSCSA 09-425 = FMR 14234 | USA, UT, human nail, 2009, D.A. Sutton | LN898704 | LN898858 | LN898781 | LN898935 | ON808063 | ON808335 | |
| S 371 | Spain, Cueva del Tesoro, cave sediment, 2012, A. Nováková | – | ON807766 | ON807903 | ON808197 | ON808062 | ON808334 | |
| DTO 319-F6 = IBT 31894 | Japan, Noto, Peninsula, Mediterranean mussel (Mytilus galloprovinciales) 2014, M. Tzukamoto | – | ON807765 | ON807902 | ON808196 | ON808061 | ON808333 | |
| NRRL 58671 | USA, PA, indoor air, 2009, Ž. Jurjeviæ | – | JN854008 | JN854054 | JN853843 | JN854104 | JN853864 | |
| NRRL 58600 (ex-type of A. jensenii) | USA, MT, indoor air, 2008, Ž. Jurjeviæ | JQ301892 | JN854007 | JN854046 | JN853835 | JN854103 | JN853863 | |
| EMSL 4720 | USA, MA, Cohasset, air, apartment, 2018, Ž. Jurjeviæ | – | ON807764 | ON807901 | – | ON808060 | ON808332 | |
| DTO 303-H3 | Netherlands, Leerdam, surface of archive material, 2014, M. Meijer | – | ON807763 | ON807900 | – | ON808059 | ON808331 | |
| CMW-IA 39 = CMW 58641 = CN 138-G5 | Canada, Nova Scotia, Little Lepreau, house dust, 2015, C.M. Visagie | – | ON807762 | ON807899 | – | ON808058 | ON808330 | |
| S 315 | Slovakia, Ochtinská Aragonitová Cave, cave air, 2010, A. Nováková | – | ON807761 | ON807898 | – | ON808057 | ON808329 | |
| UTHSCSA 10-327 = FMR 14152 | USA, PA, sputum, 2010, D.A. Sutton | LN898700 | LN898854 | LN898777 | LN898931 | – | ON808328 | |
| CGMCC 3.05297 | China, moldy shoe, 1999, collector unknown | – | ON807760 | ON807897 | ON808195 | ON808056 | ON808327 | |
| S 317 | Slovakia, Krásnohorská Cave, cave air, 2006, A. Nováková | – | ON807759 | ON807896 | ON808194 | ON808055 | ON808326 | |
| DTO 138-B3 | Germany, indoor air, 2010, collector unknown | – | – | ON807895 | ON808193 | ON808054 | ON808325 | |
| EMSL 4825 | USA, OH, Pepper Pike, bedroom, settle plates, 2018, Ž. Jurjeviæ | – | ON807758 | ON807894 | ON808192 | ON808053 | ON808324 | |
| S 447 | Spain, Cueva del Tesoro, cave sediment, 2012, A. Nováková | – | ON807757 | ON807893 | ON808191 | ON808052 | ON808323 | |
| EMSL 4785 | USA, NJ, Cherry Hill, office - indoor air, 2018, Ž. Jurjeviæ | – | ON807756 | ON807892 | ON808190 | ON808051 | ON808322 | |
| NRRL 240 | USA, NY, rhizosphere of pepper plants, 1911, C.N. Jensen | – | JN854002 | JN854030 | JN853819 | JN854102 | JN853862 | |
| NRRL 235 | United Kingdom, London, paraffin, 1930, H. Raistrick | – | JN854001 | JN854027 | JN853816 | JN854101 | JN853860 | |
| NRRL 225 | United Kingdom, substrate unknown, 1913, collector unknown | – | JN854000 | JN854020 | JN853809 | JN854100 | JN853858 | |
| DTO 319-D8 = IBT 23103 | Slovenia, soil salterns, 2014, N. Gunde-Cimerman | – | ON807755 | ON807891 | ON808189 | ON808050 | ON808321 | |
| UTHSCSA 05-3600 = FMR 14136 | USA, MN, sputum, 2005, D.A. Sutton | LN898698 | LN898852 | LN898775 | LN898929 | ON808049 | – | |
| S 207 | Romania, Meziad Cave, Capela, bat guano, 2010, A. Nováková | – | ON807754 | ON807890 | ON808188 | ON808048 | ON808320 | |
| A. subversicolor | NRRL 58999T = CBS 145751T = DTO 225-G9T | India, Karnataka, coffee berry, 1970, B. Muthappa | JQ301894 | JN853970 | JN854010 | JN853799 | JN854069 | JN853857 |
| DTO 353-D8 = URM 7878 | Brazil, Recife, Honey of Melipona scutellaris, 2014, R. Barbosa | – | ON807753 | ON807889 | – | ON808047 | ON808319 | |
| DTO 353-A7 = URM 7877 | Brazil, Recife, Honey of Melipona scutellaris, 2014, R. Barbosa | – | ON807752 | ON807888 | – | ON808046 | ON808318 | |
| A. sydowii | NRRL 254T = CBS 593.65T = IMI 211384T = NRRL 250T = ATCC 16844T | USA, GA, clinical material, isolation date unknown, M.M. Harris | EF652451 | LC589353 | LC589325 | EF652187 | – | JN853897 |
| CMW-IA 46 = CMW 58648 = CN 164B6 = DN 86 | Botswana, Gcwihaba Cave, guano-contaminated cave sediment, 2019, G. Modise & D. Nkwe | – | ON807751 | ON807887 | ON808187 | ON808045 | ON808317 | |
| CMW-IA 44 = CMW 58646 = CN 164B4 = DN 47 | Botswana, Gcwihaba Cave, guano-contaminated cave sediment, 2019, G. Modise & D. Nkwe | – | ON807750 | ON807886 | ON808186 | ON808044 | ON808316 | |
| CMW-IA 42 = CMW 58644 = CN 164B2 = DN 30 | Botswana, Gcwihaba Cave, guano-contaminated cave sediment, 2019, G. Modise & D. Nkwe | – | ON807749 | ON807885 | ON808185 | ON808043 | ON808315 | |
| CMW-IA 41 = CMW 58643 = CN 164B1 = DN 6 | Botswana, Gcwihaba Cave, guano-contaminated cave sediment, 2019, G. Modise & D. Nkwe | – | ON807748 | ON807884 | ON808184 | ON808042 | ON808314 | |
| S 41 | Spain, near Castañar de Ibor Cave, outdoor air, 2009, A. Nováková | – | ON807747 | ON807883 | ON808183 | ON808041 | ON808313 | |
| S 15 | Spain, Cueva del Tesoro, Sala de Marco Craso, cave air, 2010, A. Nováková | – | ON807746 | ON807882 | ON808182 | ON808040 | ON808312 | |
| UTHSCSA 06-2780 = FMR 14185 | USA, MN, bronchus, 2006, D.A. Sutton | LN898721 | LN898875 | LN898798 | LN898952 | ON808039 | – | |
| S 23 | Czech Republic, Moravian Karst, New Amateur Cave, „Dóm Ráztoka“ Dome, cave sediment, 2009, A. Nováková | – | ON807745 | ON807881 | ON808181 | ON808038 | ON808311 | |
| DTO 145-G7 | Egypt, tomb of dogs, 2010, M. Meijer | – | ON807744 | ON807880 | ON808180 | ON808037 | ON808310 | |
| DTO 268-C2 | Uruguay, Montevideo, house dust, 2008, Z. Torrano | – | ON807743 | ON807879 | ON808179 | ON808036 | ON808309 | |
| CGMCC 3.06723 | China, fermented crop, 2004, collector unknown | – | ON807742 | ON807878 | ON808178 | ON808035 | ON808308 | |
| UTHSCSA 09-1708 = FMR 14338 | USA, UT, lung tissue, 2009, D.A. Sutton | LN898732 | LN898886 | LN898809 | LN898963 | ON808034 | ON808307 | |
| CMW-IA 35 = CMW 58637 = CN 117-C2 | South Africa, Viljoenskroon, sunflower, 2020, C.M. Visagie & N. Yilmaz | – | ON807741 | ON807877 | ON808177 | ON808033 | ON808306 | |
| UTHSCSA 12-934 = FMR 14210 | USA, MN, bronchoalveolar lavage, 2012, D.A. Sutton | LN898725 | LN898879 | LN898802 | LN898956 | ON808032 | ON808305 | |
| UTHSCSA 11-204 = FMR 14155 | USA, PA, clinical sample - eye, 2011, D.A. Sutton | LN898717 | LN898871 | LN898794 | LN898948 | ON808031 | ON808304 | |
| CGMCC 3.13937 | China, shoe, 2009, collector unknown | – | ON807740 | ON807876 | ON808176 | ON808030 | ON808303 | |
| UTHSCSA 13-2518 = FMR 14164 | USA, UT, clinical sample - eye, 2013, D.A. Sutton | LN898718 | LN898872 | LN898795 | LN898949 | ON808029 | ON808302 | |
| CCF 3621 | Czech Republic, Olomouc, endotracheal secret of man, 2003, P. Hamal | – | FR775355 | ON807875 | OP762580 | OP762566 | OP762574 | |
| DTO 002-H3 = CBS 117771 | South Korea, Yeongi, hot pepper from pepper field, 2003, S.B. Hong | – | ON807738 | ON807874 | ON808174 | ON808027 | ON808300 | |
| DTO 266-H9 | Federated States of Micronesia, Malem, house dust, 2009, W. Law | – | ON807737 | ON807873 | ON808173 | ON808026 | – | |
| CCF 5063 | Spain, Cueva del Tesoro, cave sediment, 2011, A. Nováková | – | FR775337 | ON807872 | OP762581 | OP762567 | OP762575 | |
| DTO 004-G1 = CBS 118475 | Netherlands, tattoo paint, isolate date and collector unknown | – | ON807735 | ON807871 | – | ON808024 | ON808298 | |
| A. versicolor | NRRL 238T = CBS 583.65T = ATCC 9577T = IFO 33027T = IMI 229970T = JCM 10258T = UAMH 4956T = UAMH 9314T | USA, unknown substrate and year of isolation, V.K. Charles | EF652442 | LC589363 | EF652354 | EF652178 | JN854079 | JN853911 |
| CMW-IA 22 = CMW 58624 = CN 054-B5 | South Africa, North West Province, Ottosdal, maize (white), 2020, C.M. Visagie & N. Yilmaz | – | ON807734 | ON807870 | – | ON808023 | ON808297 | |
| UTHSCSA 03-3679 = FMR 14181 | USA, FL, bronchoalveolar lavage, 2003, D.A. Sutton | LN898740 | LN898894 | LN898817 | LN898971 | ON808022 | ON808295 | |
| DTO 241-I4 | Indonesia, surface in medical rehabilitation room, 2012, A. Sidar | – | ON807733 | ON807869 | ON808171 | ON808021 | – | |
| DTO 270-D1 | Mexico, Sayulita, house dust, 2009, A. Amend | – | ON807732 | ON807868 | ON808170 | ON808020 | ON808296 | |
| DTO 174-H9 | Imported from Madagascar, vanilla sticks, 2012, J. Houbraken | – | ON807731 | ON807867 | ON808169 | ON808019 | ON808294 | |
| DTO 319-E9 = IBT 28029 = ATCC 32662 | USA, TX, soil, 2014, H.W. Schroeder | – | ON807730 | ON807866 | ON808168 | ON808018 | ON808293 | |
| NRRL 13144 = NRRL A-27273 | USA, TN, toxic dairy cattle feed, 1984, B.W. Horn | – | JN853949 | JN854011 | JN853800 | JN854081 | JN853915 | |
| NRRL 3505 = CBS 602.74 = ATCC 18990 (ex-type of A. protuberus) | former Yugoslavia, rubber coated electrical cables, before 1968, M. Muntañola-Cvetkovic | EF652460 | EF652284 | EF652372 | EF652196 | JN854088 | LC004923 | |
| CCF 5055 | Spain, Nerja Cave, cave sediment, 2011, A. Nováková | – | OP762562 | OP650540 | OP762584 | OP762570 | – | |
| DTO 019-D4 = CBS 601.74 = IMI 278378 | former Yugoslavia, rubber coated electrical cables, before 1968, M. Muntañola-Cvetkovic | – | ON807728 | ON807864 | ON808166 | ON808016 | – | |
| EMSL 4703 | USA, CA, Lawndale, framing below balcony, swab, 2018, Ž. Jurjeviæ | – | ON807727 | ON807863 | ON808165 | ON808015 | – | |
| UTHSCSA 11-269 = FMR 14156 | USA, IL, bronchoalveolar lavage, 2011, D.A. Sutton | LN898707 | LN898861 | LN898784 | LN898938 | ON808014 | ON808292 | |
| S 49 | Spain, Nerja Cave, cave sediment, 2011, A. Nováková | – | ON807726 | ON807862 | ON808164 | ON808013 | ON808291 | |
| UTHSCSA 06-2837 = FMR 14328 | USA, bronchoalveolar lavage, 2006, D.A. Sutton | LN898713 | LN898867 | LN898790 | LN898944 | ON808012 | – | |
| S 450 | Spain, Cueva del Tesoro, cave sediment, 2012, A. Nováková | – | ON807725 | ON807861 | ON808163 | ON808011 | ON808290 | |
| CCF 5370 | Romania, Movile Cave, cave air, 2013, A. Nováková | – | OP762563 | OP650500 | OP762585 | OP762571 | – | |
| EMSL 4753 | USA, FL, Jacksonville, bedroom, settle plates, 2018, Ž. Jurjeviæ | – | ON807723 | ON807859 | – | ON808009 | – | |
| UTHSCSA 09-246 = FMR 14148 | USA, CT, animal clinical specimen, 2009, D.A. Sutton | LN898706 | LN898860 | LN898783 | LN898937 | ON808008 | ON808289 | |
| S 445 | Spain, Cueva del Tesoro, cave sediment, 2012, A. Nováková | – | ON807722 | ON807858 | ON808161 | ON808007 | ON808288 | |
| EMSL 4846 | USA, NJ, Trenton, office building - indoor air, 2018, Ž. Jurjeviæ | – | ON807721 | ON807857 | ON808160 | ON808006 | – | |
| UTHSCSA 11-2175 = FMR 14205 | USA, AL, Ohio, sputum, 2011, D.A. Sutton | LN898710 | LN898864 | LN898787 | LN898941 | ON808005 | ON808287 | |
| S 39 | Spain, Cueva del Tesoro, cave air, 2010, A. Nováková | – | ON807720 | ON807856 | ON808159 | ON808004 | ON808286 | |
| DTO 247-E7 | Mexico, Sayulita, house dust, 2009, A. Amend | – | ON807719 | ON807855 | ON808158 | ON808003 | – | |
| DTO 019-D6 | Montenegro, Ulcinj, seawater, isolation year unknown, M. Muntañola-Cvetkovic | – | ON807718 | ON807854 | ON808157 | ON808002 | – | |
| UTHSCSA 08-1574 = FMR 14336 | USA, CO, bronchoalveolar lavage, 2008, D.A. Sutton | LN898714 | LN898868 | LN898791 | LN898945 | ON808001 | – | |
| UTHSCSA 06-4104 = FMR 14140 | USA, MD, bronchoalveolar lavage, 2006, D.A. Sutton | LN898705 | LN898859 | LN898782 | LN898936 | ON808000 | ON808285 | |
| NRRL 233 = CBS 145748 = DTO 225-D8 (ex-type of A. austroafricanus) | South Africa, Cape Town, 1922, V.A. Putterill | JQ301891 | JN853963 | JN854025 | JN853814 | JN854086 | JN853916 | |
| DTO 268-A1 | Thailand, Songkla, house dust, 2009, P. Noonim | – | ON807717 | ON807853 | ON808156 | ON807999 | ON808284 | |
| DTO 237-D1 | Indonesia, Yogyakarta, food and nutrient library, 2012, R. Rahmawati | – | ON807716 | ON807852 | ON808155 | ON807998 | OP688454 | |
| CBS 145671 = HKU49 = NBRC 110693 = NCPF 7870 = BCRC FU30360 = DTO 351-C3 (ex-type of A. hongkongensis) | Hong Kong, human toenail, 2013 | NR_138262 | LC000552 | LC000565 | LC000578 | LC000583 | LC000584 | |
| S 627 | Spain, Cueva del Tesoro, cave air, 2012, A. Nováková | – | ON807715 | ON807851 | ON808154 | ON807997 | ON808283 | |
| DTO 267-G2 | South Africa, Stellenbosch, house dust, 2009, K. Jacobs | – | ON807714 | ON807850 | ON808153 | ON807996 | ON808282 | |
| CMW-IA 45 = CMW 58647 = CN 164B5 = DN 52 | Botswana, Gcwihaba Cave, guano-contaminated cave sediment, 2019, G. Modise & D. Nkwe | – | ON807713 | ON807849 | ON808152 | ON807995 | ON808281 | |
| NRRL 4838 = NRRL 236 = CBS =111.32 = CBS 600.65 = DTO 019-A4 = IMI 211400 = ATCC 16845 (ex-type of A. amoenus) | Germany, Münster, botanical garden, fruit of Berberis sp., 1930, M. Roberg | EF652480 | EF652304 | EF652392 | EF652216 | JN854074 | JN853907 | |
| DTO 246-D6 | South Africa, Gonatophragmium sp., 2013, J. Houbraken | – | ON807712 | ON807848 | ON808151 | ON807994 | ON808280 | |
| DTO 268-I7 | Federated States of Micronesia, Lelu, house dust, 2008, W. Law | – | ON807711 | ON807847 | ON808150 | ON807993 | ON808279 | |
| EMSL 4790 | USA, MD, Aberdeen, bathroom wall, swab, 2018, Ž. Jurjeviæ | – | ON807710 | ON807846 | ON808149 | ON807992 | ON808278 | |
| DTO 319-D5 = IBT 21121 = CCRC 32142 | Taiwan, Hwalien City, stored sesame seeds, 2014, S.S. Tzean | – | ON807709 | ON807845 | ON808148 | ON807991 | – | |
| UTHSCSA 09-2582 = FMR 14368 | USA, MA, lung tissue, 2009, D.A. Sutton | LN898677 | LN898831 | LN898754 | LN898908 | ON807990 | ON808277 | |
| DTO 319-E2 = NRRL 35600 = IBT 29647 | USA, HI, Kapuka Pauula, basidiomata of Ganoderma australe, 2014, D.T. Wicklow | – | JN853952 | JN854033 | JN853822 | JN854073 | JN853908 | |
| DTO 267-F7 | Federated States of Micronesia, Lelu, house dust, 2008, W. Law | – | – | ON807844 | ON808147 | ON807989 | – | |
| DTO 269-A7 | Federated States of Micronesia, Lelu, house dust, 2008, W. Law | – | ON807708 | ON807843 | ON808146 | ON807988 | ON808276 | |
| DTO 319-D3 = IBT 16439 = IMI 096225 | United Kingdom, hay, 2014, M.E. Lacey | – | ON807707 | ON807842 | ON808145 | ON807987 | ON808275 | |
| S 333 | Romania, Fânaþe Cave, bat guano, 2010, A. Nováková | – | ON807706 | ON807841 | ON808144 | ON807986 | – | |
| EMSL 4779 | USA, TX, Tyler, bedroom, vent - swab, 2018, Ž. Jurjeviæ | – | ON807705 | ON807840 | ON808143 | ON807985 | ON808274 | |
| DTO 248-D1 | Mexico, Sayulita, house dust, 2009, A. Amend | – | ON807704 | ON807839 | ON808142 | ON807984 | ON808273 | |
| UTHSCSA 06-4284 = FMR 14188 | USA, South Carolina, bronchoalveolar lavage, 2006, D.A. Sutton | LN898672 | LN898826 | LN898749 | LN898903 | ON807983 | – | |
| S 310 | Spain, Cueva del Tesoro, cave sediment, 2010, A. Nováková | – | ON807703 | ON807838 | ON807982 | ON808141 | ON808272 | |
| S 459 | Spain, Cueva del Tesoro, cave sediment, 2012, A. Nováková | – | ON807702 | ON807837 | ON808140 | ON807981 | ON808271 | |
| CCF 5038 | Spain, Nerja Cave, cave air, 2011, A. Nováková | – | OP762561 | OP650489 | OP762583 | OP762569 | OP762577 | |
| UTHSCSA 09-125 = FMR 14198 | USA, MD, bronchoalveolar lavage, 2009, D.A. Sutton | LN898673 | LN898827 | LN898750 | LN898904 | ON807979 | ON808270 | |
| CMW-IA 38 = CMW 58640 = CN 137-I5 | South Africa, animal feed, 2021, C.M. Visagie & N. Yilmaz | – | ON807700 | ON807835 | – | ON807978 | – | |
| NRRL 239 = CBS 584.65 ATCC 16856 = IMI 211385 (ex-type of A. fructus) | USA, CA, date fruit (Phoenix dactylifera), 1939, D.E. Bliss | EF652449 | EF652273 | EF652361 | EF652185 | JN854076 | JN853917 | |
| FMR 15740 | Argentina, soil, 2016, A.M. Stchigel | LT903690 | LT903681 | LT903684 | LT903687 | – | ON808269 | |
| CMW-IA 32 = CMW 58634 = CN 116-D1 | South Africa, Heuningspruit, sunflower, 2020, C.M. Visagie & N. Yilmaz | – | ON807699 | ON807834 | ON808138 | ON807977 | ON808268 | |
| DTO 319-D4 | USA, WY, Farson, dungy soil under Artemisia tridentata, 2014, J.C. Frisvad | – | ON807698 | ON807833 | ON808137 | ON807976 | ON808267 | |
| CMW-IA 40 = CMW 58642 = CN 164A9 = DN 2 | Botswana, Gcwihaba Cave, guano-contaminated cave sediment, 2019, G. Modise & D. Nkwe | – | ON807697 | ON807832 | ON808136 | ON807975 | ON808266 | |
| NRRL 241 | Unknown, pomegranate fruit, 1916, L. McCulloch | – | JN853943 | JN854031 | JN853820 | JN854087 | JN853918 | |
| DTO 267-G8 | South Africa, Stellenbosch, house dust, 2009, K. Jacobs | – | ON807696 | ON807831 | ON808135 | ON807974 | ON808265 | |
| S 434 | Spain, near Nerja Cave, soil, 2012, A. Nováková | – | ON807695 | ON807830 | ON808134 | ON807973 | ON808264 | |
| UTHSCSA 12-3194 = FMR 14162 | USA, CA, pericardium, 2012, D.A. Sutton | LN898696 | LN898850 | LN898773 | LN898927 | ON807972 | ON808263 | |
| DTO 019-A2 | USA, CA, fruit of Phoenix dactylifera, isolation date and collector unknown | – | ON807694 | ON807829 | ON808133 | ON807971 | ON808262 | |
| CBS 142028 = MFBF AV11051B IX = SZMC 22333 (ex-type of A. pepii) | Croatia, Zagreb, grain mill - indoor air, 2012, D. Jakšiæ Despot | KU613368 | KU613371 | KU613365 | – | – | – | |
| DTO 243-G4 | Indonesia, polyclinic for children, 2012, A. Sidar | – | ON807693 | OP650454 | ON808132 | ON807970 | ON808261 | |
| CBS 138191 = DTO 267-D8 (ex-type of A. griseoaurantiacus) | Federated States of Micronesia, Yela of Kosrae Island, house dust, 2010, E. Whitfield & K. Mwange | KJ775553 | KJ775086 | KJ775357 | KU866988 | – | – | |
| CMW-IA 43 = CMW 58645 = CN 164B3 = DN 40 | Botswana, Gcwihaba Cave, guano-contaminated cave sediment, 2019, G. Modise & D. Nkwe | – | ON807692 | ON807828 | ON808131 | ON807969 | ON808260 | |
| S 465 | Spain, near Nerja Cave, cave air, 2012, A. Nováková | – | ON807691 | ON807827 | ON808130 | ON807968 | – | |
| DTO 276-F9 | Iran, bronchoalveolar lavage, 2013, J. Najafzadeh | – | ON807690 | ON807826 | ON808129 | ON807967 | ON808259 | |
| DTO 138-A3 | Germany, airconditioning system, 2010, collector unknown | – | ON807689 | ON807825 | ON808128 | ON807966 | ON808258 | |
| S 334 | Romania, Zidita Cave, bat guano, 2009, A. Nováková | – | ON807688 | ON807824 | ON808127 | ON807965 | ON808257 | |
| S 215 | Romania, Zidita Cave, bat guano, 2009, A. Nováková | – | ON807687 | ON807823 | ON808126 | ON807964 | ON808256 | |
| CMW-IA 36 = CMW 58638 = CN 131-G9 | South Africa, animal feed, 2021, C.M. Visagie & N. Yilmaz | – | ON807686 | ON807822 | – | ON807963 | ON808255 | |
| DTO 245-F5 = CBS 138189 | Mexico, Sayulita, house dust, 2009, A. Amend | – | ON807685 | ON807821 | ON808125 | ON807962 | ON808254 | |
| CMW-IA 37 = CMW 58639 = CN 132-C9 | South Africa, animal feed, 2021, C.M. Visagie & N. Yilmaz | – | ON807684 | ON807820 | ON808124 | ON807961 | ON808253 | |
| EMSL 4723 | USA, NJ, Morris Plains, bathroom wall, swab, 2018, Ž. Jurjeviæ | – | ON807683 | ON807819 | ON808123 | ON807960 | ON808252 | |
| DTO 337-C3 | Germany, school material, 2015, U. Hack | – | ON807682 | ON807818 | ON808122 | ON807959 | ON808251 | |
| DTO 267-D2 = CBS 138190 | Federated States of Micronesia, Lelu, house dust, 2009, W. Law | – | ON807681 | ON807817 | ON808121 | ON807958 | ON808250 | |
| NRRL 4791 = CBS 122718 = IFO 4098 (ex-type of A. tabacinus) | Unknown, tobacco, before 1934, Y. Nakazawa | EF652478 | EF652302 | EF652390 | EF652214 | JN854084 | JN853922 | |
| DTO 337-B9 | Germany, wallpaper, 2015, U. Hack | – | ON807680 | ON807816 | ON808120 | ON807957 | ON808249 | |
| EMSL 4820 | USA, NY, New York, bedroom, swab, 2018, Ž. Jurjeviæ | – | ON807679 | ON807815 | ON808119 | ON807956 | ON808248 | |
| UTHSCSA 07-2427 = FMR 14190 | USA, bronchoalveolar lavage, 2007, D.A. Sutton | LN898737 | LN898891 | LN898814 | LN898968 | ON807955 | ON808247 | |
| DTO 319-E6 = IBT 26806 | India, Kerala, green coffee beans, 2014, M. Franck | – | ON807678 | ON807814 | ON808118 | ON807954 | ON808246 | |
| ANV 16-4K | Czech Republic, Prague, book in library, 2018, Nováková | – | ON807677 | ON807813 | ON808117 | ON807953 | ON808245 | |
| CCF 3690 | Czech Republic, Liberec, toenail of woman, 2006, J. DoleŽalová | – | OP762560 | FR751430 | OP762582 | OP762568 | OP762576 | |
| NRRL 5031 (ex-type of A. versicolor var. magnus) | Unknown country and source, before 1962, Y. Sasaki | – | JN853947 | JN854036 | JN853825 | – | JN853920 | |
| DTO 019-D2 | South Korea, Daejeon, soil from pepper field, 2003, S.B. Hong | – | ON807675 | ON807811 | ON808115 | ON807951 | ON808243 | |
| UTHSCSA 03-1197 = FMR 14179 | USA, FL, sputum, 2003, D.A. Sutton | LN898736 | LN898890 | LN898813 | LN898967 | ON807950 | ON808242 | |
| UTHSCSA 08-2898 = FMR 14232 | USA, bronchoalveolar lavage, 2008, D.A. Sutton | LN898739 | LN898893 | LN898816 | LN898970 | ON807949 | – | |
| CGMCC 3.05288 | China, moldy broom, 1999, collector unknown | – | ON807674 | ON807810 | ON808114 | ON807948 | ON808241 | |
| DTO 319-E3 | Thailand, Hua Hin, soil under bush, 2014, J.C. Frisvad | – | OP82096 | OP650458 | OP820970 | OP820969 | – | |
1 Acronyms of culture collections in alphabetic order: ATCC, American Type Culture Collection, Manassas, Virginia; BCRC, Bioresource Collection and Research Center, Hsinchu, Taiwan; CBS, Westerdijk Fungal Biodiversity Institute (formerly Centraalbureau voor Schimmelcultures), Utrecht, the Netherlands; CCF, Culture Collection of Fungi, Department of Botany of Charles University, Prague, Czech Republic; CGMCC, China General Microbiological Culture Collection Center, China; CMW, CMW-IA & CN, working and formal culture collections housed at FABI (Forestry and Agricultural Biotechnology Institute) and Innovation Africa, University of Pretoria, South Africa; DN, working collection of David Nkwe, housed at the Department of Biological Sciences and Biotechnology, Botswana International University of Science and Technology, Palapye, Botswana; DTO, Internal Culture Collection of the Department of Applied and Industrial Mycology of the CBS-KNAW Fungal Biodiversity Centre, Utrecht, The Netherlands; EMSL, EMSL Analytical Inc., New Jersey, USA; FMR, Facultat de Medicina i Ciències de la Salut, Reus, Spain; HKU,The University of Hong Kong Mycological Herbarium, Hong Kong; IBT, Culture Collection at the Department of Biotechnology and Biomedicine, Lyngby, Denmark; IFO, Institute for Fermentation, Osaka, Japan (IFO strains were transferred to the NBRC NITE collection); IMI, CABI’s collection of fungi and bacteria, Wallingford, UK; JCM, Japan Collection of Microorganisms, Tsukuba, Japan; KAS, fungal collection of Keith A. Seifert, internal working culture collection at DAOMC (Culture collection of the National Mycological Collections, Agriculture & Agri-Food Canada), Ottawa, Canada; MFBF, collection of the Department of Microbiology, Faculty of Pharmacy and Biochemistry, University of Zagreb, Croatia; NBRC (NITE), National Institute of Technology and Evaluation, Biological Resource Center, Department of Biotechnology, Kisarazu, Chiba, Japan; NCPF, The National Collection of Pathogenic Fungi, Bristol, UK; NRRL, Agricultural Research Service Culture Collection, Peoria, Illinois, USA; SZMC, Szeged Microbiological Collection at the Department of Microbiology, Faculty of Science and Informatics, University of Szeged, Hungary; UAMH, UAMH Centre for Global Microfungal Biodiversity (formerly University of Alberta Microfungus collection and Herbarium), Gage Research Institute, University of Toronto, Toronto, Canada; URM, culture collection at the Federal University of Pernambuco, Recife, Brazil; UTHSCSA, Collection of Fungus Testing Laboratory, University of Texas, Health Science Center, San Antonio, USA. Other: ANV, S, personal designation of strains isolated by A. Nováková (no permanent preservation of cultures).
Molecular studies
Total genomic DNA was isolated from 7-d-old cultures with the NucleoSpin® Soil (Macherey–Nagel, Düren, Germany) DNA isolation kit and its quality was verified using a NanoDrop 1 000 Spectrophotometer.
Sequences of the ITS region of rDNA were not obtained for the majority of strains because the variability of this locus within series Versicolores is low (Jurjević et al. 2012). A part of the β-tubulin gene (benA) was amplified using forward primers Bt2a (Glass & Donaldson 1995) or T10 (O’Donnell & Cigelnik 1997) and reverse primer Bt2b (Glass & Donaldson 1995). A part of the calmodulin gene (CaM) was amplified using forward primers CF1L, CF1M (Peterson 2008) or cmd5 (Hong et al. 2006) and reverse primers CF4 (Peterson 2008) or cmd6 (Hong et al. 2006). A part of the Mcm7 gene encoding the minichromosome maintenance factor 7 was amplified using either universal primers Mcm7-709for and Mcm7-1348rev (Schmitt et al. 2009) or newly developed primers specific for the series Versicolores, namely Mcm7-Aver710for (5′-CACGAGTATCAGATGTTAAACCG-3′) and Mcm7-Aver1354rev (5′- GATTTGGCAACACCAGGGTC -3′). A part of the RNA polymerase II second largest subunit gene (RPB2) was amplified using forward primer fRPB2-5F and reverse primer fRPB2-7CR (Liu et al. 1999). Finally, a part of the Tsr1 gene encoding the ribosome biogenesis protein was amplified with primers Tsr1-1453for and Tsr1-2308rev (Schmitt et al. 2009).
The PCR was performed with standard or touchdown protocol and the PCR products were purified with ethanol and sodium acetate. All procedures and amplification conditions are described in detail by Sklenář et al. (2021).
The resulting DNA sequences were assembled in BioEdit v. 7.0.5 (Hall 1999) and deposited in GenBank. Obtained accession numbers are listed in Table 1. The sequences were aligned in MAFFT v. 7 (Katoh & Standley 2013) using the G-INS-I strategy. The best fitting model of evolution for every alignment was determined in jModelTest v. 2.1.7 (Posada 2008) using Bayesian information criterion with the following results. For the alignment of benA sequences, K80+G was selected as the best fitting model; TrNef+G for the alignment of CaM sequences; K80+G for the alignment of Mcm7 sequences; TrNef+G for the alignment of RPB2 sequences; and TrN+I for the alignment of Tsr1 sequences. The TrNef+I+G model was chosen as the best fitting model for the alignment of 518 CaM sequences, and the TrNef model for the alignment of 48 ITS rDNA sequences. All alignments (together with input data for phylogenetic methods) were deposited into the Dryad Digital Repository (https://doi.org/10.5061/dryad.63xsj3v5q).
Phylogenetic analysis and species delimitation
We first assembled CaM sequences of 518 strains belonging to series Versicolores and calculated a Maximum Likelihood (ML) tree in IQ-TREE v. 2.1.2 (Minh et al. 2020). The branch support was determined by 1 000 standard bootstrap replicates. The graphical output was prepared in iTOL v. 6.5.6 (Letunic & Bork 2016) with colour strips next to the phylogenetic tree representing the geographic origin and substrate/environment. The provenance of strains used in the analysis is listed in Supplementary Table S1.
Based on the results of this CaM phylogenetic tree, we selected 213 strains to be used for further analyses and thus obtained additional sequences from four loci for them. The ML analysis based on a concatenated dataset was then calculated in IQ-TREE v. 2.1.2. Each locus was set up as a separate partition and the branch support was determined by 1 000 standard bootstrap replicates.
To further demonstrate the relationships between currently accepted species in series Versicolores, we calculated the species tree in starBEAST v. 2.0 (Drummond et al. 2012). The strains were assigned to 17 species according to the best scoring ML tree calculated from the concatenated dataset. The length of the mcmc chain was 1 × 109 generations, the molecular clock model was set to strict clock, and the species tree prior was set to the Coalescent constant population model. To present the results of this analysis we employed the program Densitree v. 2.2.7 (Bouckaert & Heled 2014).
To investigate the stability and robustness of identification across the currently accepted 17 species and different DNA loci, we performed BLAST (basic local alignment search tool) searches with all available sequences from all species against the local BLAST database consisting of only ex-type strains sequences. To demonstrate the results, we prepared colour strips in iTOL and plotted them on the ML tree.
Five single-locus species delimitation methods (GMYC, bGMYC, PTP, bPTP, ABGD) were performed with alignments reduced to unique sequences. The reduction was carried out in R v. 4.1.2 (R Core Team 2015) using the haplotype function from the package pegas (Paradis 2010). The GMYC method was performed in R v. 4.1.2 with the package splits (Fujisawa & Barraclough 2013) based on the phylogenetic tree calculated in BEAST v. 2.6.7 (Bouckaert et al. 2019) with the chain length of 1 × 107 generations, strict molecular clock, and tree prior set to Yule model. The same source material was used for the bGMYC method, but instead of using one consensus tree, we used 100 randomly selected trees after discarding the initial 25 % of trees as burn-in. The analysis was performed in R v. 3.4.1 using the package bgmyc (Reid & Carstens 2012). PTP and bPTP utilized one thousand ML standard bootstrap trees calculated in IQ-TREE v. 2.1.2. Both PTP and bPTP analyses were performed in Python v. 3 (van Rossum & Drake 2019) with the package ptp (Zhang et al. 2013). The ABGD (Automatic Barcode Gap Discovery) (Puillandre et al. 2012) was performed on the ABGD web server (available online: http://wwwabi.snv.jussieu.fr/public/abgd/abgdweb.html). Alignments of unique sequences were used as input and the distance matrix was calculated on the server with the K2P model of evolution. The default value of parameter X (1.5) resulted in all strains delimited as one species, so a lower value (1.2) was used. Since ABGD analysis results in a number of different delimitation schemes, the decision on which result to consider was based on the recommendation of Puillandre et al. (2012) and Kekkonen & Hebert (2014) and therefore we chose the results of the initial partition which was closest to P = 0.01.
To prepare input for the multilocus method STACEY, we first merged all single-locus alignments into one, then we reduced this alignment to unique sequences using the haplotype function (the number of strains was reduced from 214 to 195), and finally we split the concatenated dataset back into separate single-locus alignments. The analysis was performed in BEAST v. 2.6.7 with the STACEY v. 1.2.5 add-on (Jones 2017). The following settings were selected: the length of mcmc chain was 1 × 109 generations, the molecular clock model was set to strict clock, the species tree prior was set to the Yule model, growth rate prior was set to lognormal distribution (M = 5, S = 2), clock rate priors for all loci were set to lognormal distribution (M = 0, S = 1), PopPriorScale prior was set to lognormal distribution (M = -7, S = 2) and relativeDeathRate prior was set to beta distribution (α = 1, β = 1 000). The output was processed with SpeciesDelimitationAnalyzer (Jones 2017). The results of STACEY are presented in two ways. Firstly, we created a plot to show how the number of delimited species and the probability of the most probable and the second most probable scenario change in relation to the value of collapseheight parameter (the input data and the R script written for the production of this plot can be found in the Dryad Digital Repository: https://doi.org/10.5061/dryad.63xsj3v5q). Secondly, we created similarity matrices using code from Jones et al. (2015) with three different values of collapseheight parameter (0.005, 0.007 and 0.009) chosen from the plot.
Finally, we formulated six hypotheses about species boundaries based on the current taxonomy of the series and the results of the species delimitation methods, and we tested them with DELINEATE software (Sukumaran et al. 2021). The dataset was split into hypothetical populations with “A10” analysis in BPP v. 4.3 (Yang 2015) and the species tree of these populations was created in starBEAST v. 2.0 (Drummond et al. 2012) implemented in BEAST v. 2.6.7. Then we set up six scenarios, lumping some populations into defined species and leaving others to be delimited as either part of those defined species or separate species. The analysis was run in Python v. 3 with the package delineate (Sukumaran et al. 2021).
Morphology
The macromorphological characters of colonies were observed on eight cultivation media, namely malt extract agar (MEA; Oxoid, Melbourne, Australia), Czapek yeast autolysate agar (CYA; Fluka, Buchs, Switzerland), Czapek-Dox agar (CZA), yeast extract Sucrose agar (YES), dichloran 18 % glycerol agar (DG18), oatmeal agar (OA; Difco, La Ponte de Claix, France), CYA supplemented with 20 % sucrose (CY20S), and creatine sucrose agar (CREA) (Samson et al. 2014). The strains were inoculated at three equidistant points on 90 mm Petri dishes and incubated at 25 °C in darkness. For the description of colony colours, we used the hexadecimal colour codes and the names were assigned according to website https://coolors.co/. After 14 d incubation, the plates were photographed, and strains incubated for a further one wk to check Hülle cells production. The strains were also grown on MEA for 14 d at 10, 15, 20, 25, 30, 35, 37, and 40 °C, in darkness, to determine cardinal temperatures.
Micromorphological characters were observed from 14-d-old colonies grown on MEA. Every character (conidia length and width, stipe length and width, vesicle diameter, length of phialides and metulae) was measured at least 35 times for each strain. Lactic acid (60 %) was used as the mounting medium. Photographs were taken on an Olympus BX51 microscope equipped with an Olympus DP72 camera. Based on the measurements, we created boxplots using R v. 4.1.2 and the package ggplot2 (Wickham 2016). The statistical differences in phenotypic characters between species were calculated using one-way ANOVA followed by Tukey’s honest significant difference (HSD) test in R v. 4.1.2 and displayed using the package ggsignif (Ahlmann-Eltze & Patil 2021). The linear discriminant analysis based on the measurements of the above-mentioned micromorphological features was performed in R v. 4.1.2 with the packages mass (Venables & Ripley 2002) and ggord (Beck 2017).
Physiology
To test the osmotic tolerance of strains/species, we cultivated strains at 25 °C on MEA supplemented with 0 %, 5 %, 10 %, and 15 % NaCl. The growth increment was measured each day for ten days. Based on these measurements, we created primary growth curves for every strain and NaCl concentration. Then we extracted the slope values from these curves and used them to create secondary growth curves which represent the growth rate of the strains in relation to the NaCl concentration. The secondary growth curves were calculated using the loess function in R v. 4.1.2 with the package ggplot2.
RESULTS
Phylogeny and ecology
A Maximum Likelihood (ML) phylogenetic tree based on CaM from 518 strains is presented in Fig. 1, with geographic origin and substrate (if known) plotted on the tree using the colour strips. The phylogenetic reconstruction shows full support for four large clades, but then the support is lost towards the terminal branches. There was no clear pattern in the distribution of localities or substrates of isolation. The two most common combinations overrepresented throughout the tree included, i.e., North America / indoor environment and Europe / cave, but this condition is caused by sampling bias and is not limited to particular species or group of species.
Fig. 1.
Phylogenetic tree of 518 series Versicolores strains based on CaM. The tree was calculated in IQ-TREE with 1 000 standard bootstrap replicates. The tree is split into three parts for better readability: A. Aspergillus versicolor lineage and A. subversicolor. B. A. sydowii, and C. A. creber lineage. Coloured stripes placed to the right of the strain codes represent the geographic origin of strains (continent) and source of isolation (substrate or environment). Tree branches are coloured according to their bootstrap supports, red colour representing bootstrap value of 0 and green colour bootstrap value of 100. Ex-type isolates are highlighted with bold font.
Figure 2 shows the ML reconstruction based on a concatenated alignment of five loci from the representative dataset of 213 strains covering genetic and ecological variability (mostly selected based on CaM genotype, locality and substrate). There are still four main fully supported lineages in the tree corresponding to those in the CaM tree. For practical reasons, we named these lineages based on the priority rules as follows: A. subversicolor lineage and A. sydowii lineage contain only single species, while the A. versicolor lineage contains nine species (A. amoenus, A. austroafricanus, A. fructus, A. griseoaurantiacus, A. hongkongensis, A. pepii, A. protuberus, A. tabacinus, and A. versicolor), and the A. creber lineage contains six species (A. creber, A. cvjetkovicii, A. jensenii, A. puulaauensis, A. tennesseensis, and A. venenatus). The bootstrap support values in the combined tree are high on many branches even for the small terminal clades. It is however well-known that bootstrap values in the concatenated trees are often falsely high (Kubatko & Degnan 2007, Seo 2008). If only the monophyly and statistical support of branches in this tree would be considered, all currently recognized species could be accepted. To retain monophyly, however, several new species would have to be described in the A. versicolor lineage, especially in the proximity of A. austroafricanus/A. hongkongensis/A. amoenus and also in the clade containing A. griseoaurantiacus and A. tabacinus. The geography and substrate of isolation showed no clear patterns that could be associated with particular species similarly to CaM tree.
Fig. 2.
Multilocus phylogeny of Aspergillus series Versicolores based on five loci (benA, CaM, RPB2, Mcm7, Tsr1) and comprising 213 strains. The displayed tree was calculated employing a Maximum likelihood method in IQ-TREE using partitioned analysis. The support was assessed by 1 000 standard bootstrap replicates, only values higher than 70 % are displayed. Coloured stripes next to strain codes represent the geographic origin of strains (continent) and the source of isolation (substrate or environment). Ex-type isolates are highlighted with bold font.
A species tree calculated in starBEAST (Drummond et al. 2012) is shown in Fig. 3 with strains assigned to species based on the current taxonomy. The visualization by Densitree (Bouckaert & Heled 2014) demonstrates the incongruences in the dataset, which are apparent in both the A. versicolor lineage (within the clade containing A. pepii, A. fructus, and A. versicolor, and within the clade containing the remaining species) and the A. creber lineage (between all species except A. venenatus).
Fig. 3.
Species tree inferred with starBEAST and visualized in DensiTree. All trees created in the analysis with the exception of the first 25 % (burn-in) are displayed on the left side. Trees with the most common topology are depicted by blue lines, trees with the second most common topology by red, trees with the third most common topology by light green, and all other trees by dark green. The consensus trees of the three most common topologies are displayed on the right side.
Incongruences between single gene datasets: evidence from species tree and BLAST searches
To show practical consequences of incongruences between single-gene datasets, we created a local BLAST database containing sequences from five genes of all 17 ex-type strains. Then we performed BLAST searches for all sequences from five loci we gathered for 213 isolates against this database. The results of BLAST searches and the closest similarities to the ex-type strains are presented in Fig. 4. We can see that sequences of different genes from the same strain frequently resulted in closest sequence similarities with ex-type strains of different species and this results in different species identifications. This phenomenon does not involve A. subversicolor and A. sydowii. In the A. creber lineage, the switching between different accepted species is present in A. cvjetkovicii and A. tennesseensis, while in the A. versicolor lineage, the unstable identification is very prevalent and present among all species except A. pepii and A. versicolor. At first glance, A. protuberus seems to be isolated from other species and well-defined phylogenetically in the combined ML tree, but there are conflicts in identification of some strains as well, suggesting the ongoing recombination with other representatives of the A. versicolor lineage. This is apparent for strains S 627 and DTO 267-G2, identified as A. austroafricanus and A. hongkongensis using benA, CaM, and RPB2, which had closest hits to A. protuberus using Tsr1. Similarly, strains S 465, S 334, and S 214, which belong to the clade containing ex-type strains of A. griseoaurantiacus and A. tabacinus, were identified as A. protuberus using CaM. The most extreme situation is present in the intermediate clade located between A. austroafricanus/A. hongkongensis and A. amoenus comprising strains DTO 319-E3, S 385, S 441, S 438, and S 431A. BLAST searches of almost every locus in this clade resulted in the closest hit to different species. This clearly demonstrates that there are no barcode gaps between many species and that there are phylogenetic conflicts between individual loci.
Fig. 4.
The results of BLAST similarity searches of five unlinked loci (benA, CaM, RPB2, Mcm7 and Tsr1) derived from 195 strains (only unique multilocus haplotypes were used) across the genetic diversity of series Versicolores. Coloured rectangles represent the closest hits to one of the 17 ex-type strains (every species has unique colour). If there was an identical similarity to two or more ex-type strains, the rectangles were diagonally divided or marked with a rhombus, respectively. Blank spaces represent missing sequences. Ex-type isolates are marked with bold font and coloured background. The phylogenetic tree was calculated in IQ-TREE using partitioned analysis and 1 000 ultrafast bootstrap replicates.
There are also 13 cases of benA sequences with equal similarity to three or more ex-type strains. This number is high in comparison with other loci (2 cases in CaM, no cases in any other locus), but it is most likely caused by shorter length of benA sequences and thus also their lower discriminatory power compared to the other loci.
Species delimitation
The results of various species delimitation methods, mostly based on the MSC model, are displayed in Fig. 5. The majority of methods and their various settings (19 out of 28) support the delimitation of four species in series Versicolores, i.e., A. subversicolor, A. sydowii, A. versicolor (lineage containing nine species names), and A. creber (lineage with six species names). Two out of 28 analyses delimited less than four species, and seven delimited more than four species. The highest number of delimited species by any method was seven. The GMYC and ABGD methods based on RPB2 sequences delimited only A. subversicolor and lumped all the remaining strains into one hypothetical species. Few methods delimited more than one species within the A. versicolor and A. creber lineages. Namely, STACEY delimited three species in the A. creber lineage with collapseheight value 0.005 and two species in the A. creber lineage with collapseheight value 0.007; GMYC and bGMYC based on benA sequences delimited two species in the A. creber lineage and three species in the A. versicolor lineage; bPTP based on RPB2 sequences delimited two species in the A. versicolor lineage; bGMYC based on Mcm7 sequences delimited two species in the A. creber lineage and two species in A. versicolor lineage; bPTP based on Tsr1 sequences delimited two species in the A. versicolor lineage. Among the seven methods/settings which supported more than four species in series Versicolores, there was only very low agreement on the arrangement of these species. Most commonly, A. protuberus and A. venenatus gained support as additional species (3/28 methods).
Fig. 5.
Schematic representation of results of species delimitation methods in the series Versicolores. One multilocus method (STACEY) and five single-locus methods (ABGD, bPTP, PTP, bGMYC and GMYC) were applied on a dataset consisting of five loci (benA, CaM, RPB2, Mcm7 and Tsr1). The dataset was reduced to strains with unique multilocus haplotypes. The results are depicted by coloured circles (blank spaces are missing sequence data for specific isolates) with different colours indicating tentative species delimited by each method. All ex-type isolates are highlighted with a bold font and the species are epithets written with black colour. The results of STACEY are presented with three different values of collapseheight parameter (0.005, 0.007 and 0.009). The phylogenetic tree was calculated during the STACEY analysis and is used solely for the comprehensive presentation of the results from different methods.
The results of the multilocus method STACEY are presented in Fig. 6. Subfigure A illustrates the effect of collapseheight parameter value on the number of delimited species. This parameter is plotted on the x-axis, while on the y-axis on the left side, there is the number of delimited species with the given collapseheight value (black line). The support for the most probable scenario (red line), and the support for the second most probable scenario (turquoise line) are shown; other less supported scenarios were omitted. When the collapseheight value is low (0.001–0.005), the number of delimited species is high, but the probability for each delimitation is very low (the probabilities are plotted on the y-axis on the right side; the sum of probabilities of all scenarios at each collapseheight value is equal to one). The scenario with six species (three species in A. creber lineage) only received support slightly higher than 0.25, with several other scenarios receiving similar support at the respective collapseheight value. The scenario with five species (A. venenatus separated from A. creber lineage) is the first scenario with a relatively high support separating itself from the other scenarios at collapseheight parameter around 0.006. At the collapseheight value of 0.0075, the delimitation of four species (A. creber, A. sydowii, A. versicolor, A. subversicolor) becomes the most supported scenario and its probability rises to almost 1.0 with increasing collapseheight value. The vertical dashed lines in Fig. 6A represent the scenarios illustrated in detail in subfigures B, C, and D in the form of similarity matrices. At the collapseheight of 0.005 (Fig. 6B), there are three species in the A. creber lineage (A. venenatus; A. puulaauensis + A. creber; A. cvjetkovicii + A. tennesseensis + A. jensenii) and there is also some visible structure in the A. versicolor lineage (A. austroafricanus + A. hongkongensis + A. amoenus + A. fructus + A. pepii + A. versicolor; A. griseoaurantiacus + A. tabacinus + A. protuberus). At collapseheight of 0.007 (Fig. 6C), the structure within A. versicolor and A. creber lineages disappears except for the strains of A. venenatus which remain separate from the A. creber lineage. At collapseheight of 0.009 (Fig. 6D), A. venenatus becomes part of the broad A. creber species.
Fig. 6.
The results of species delimitation by STACEY. A. Dependence of delimitation results on collapseheight parameter. The black solid line represents the number of delimited species (left y-axis) depending on the changing value of collapseheight parameter (x-axis). The red line represents the probability (right y-axis; range from 0 to 1) of the most probable scenario at specific collapseheight value. The turquoise line represents the probability of the second most probable scenario at specific collapseheight value. Dashed vertical lines mark three values (0.005, 0.007 and 0.009) of collapseheight parameter whose results are shown in detail by similarity matrices (B, C, D). The similarity matrices give the posterior probability of every two isolates belonging to the same multi-species coalescent cluster (tentative species). Black colour corresponds to a posterior probability of 1, while the white colour is equal to 0. Thicker horizontal and vertical lines in the similarity matrices depict the approximate boundaries of species in their narrow concept.
The species hypotheses were independently tested with DELINEATE (Sukumaran et al. 2021) and the results are summarized in Fig. 7. We set up six models with A. subversicolor and A. sydowii always fixed as separate species and various parts of the A. versicolor and A. creber lineages left to be delimited. All populations from the A. creber lineage were left unassigned in models 1 and 2. In the first model, we assigned all populations from the A. versicolor lineage to one species, and in the second model, we split the A. versicolor lineage into three hypothetical species based on the tree from starBEAST (Fig. 3) and the results of STACEY with a low collapseheight parameter of 0.005 (Fig. 6B): “versicolor sp1” (A. protuberus, A. tabacinus, and A. griseoaurantiacus) “versicolor sp2” (A. pepii, A. versicolor, and A. fructus) and “versicolor sp3” (A. amoenus, A. hongkongensis, and A. austroafricanus) (Fig. 7). Both models 1 and 2 resulted in delimitation of a single wide species in A. creber lineage.
Fig. 7.
Overview of species delimitation by DELINEATE. The populations were delimited with BPP and the species tree was calculated in starBEAST. The bars depict the setting and result of every scenario/model (numbered 1 to 6). The grey bars represent the predefined species (locked in the specific model), the brown bars represent unassigned populations, which were left free to be delimited. The red rectangles represent the species boundaries proposed by DELINEATE.
Models 3-6 focused on A. versicolor lineage. In model 3, there were three fixed species: the whole A. creber lineage, clade “versicolor sp1”, and clade “versicolor sp3”, while the populations of “versicolor sp2” were left unassigned. In model 4, A. creber lineage was split into six currently accepted species, clade “versicolor sp3” was fixed as one species and all other populations in A. versicolor lineage were left to be delimited. In models 5 and 6, clade “versicolor sp2” was fixed as one species and all populations of clades “versicolor sp1” and “versicolor sp3” were left unassigned. The difference between models 5 and 6 was in the setting of A. creber lineage, where A. venenatus was set as separate species in model 5 and lumped together with the rest of the lineage in model 6. Models 3–6 resulted in lumping all the populations in A. versicolor lineage into a single wide species.
Morphology
Figures 8 and 9 and Supplementary Table S2 demonstrate the macromorphological variability within the series Versicolores. The conclusion we can draw from this comparison is that the strains in this series are extremely variable in terms of colony obverse and reverse colour and colony dimensions, and it is extremely hard to differentiate the phylogenetically defined clades/species from this series based on macromorphology. Even A. sydowii, a species usually considered as morphologically and physiologically well-defined can produce colonies with very different colours and texture on some media, e.g., CYA, CZA, OA, CREA (Figs 8, 9). On the other hand, its typical blue-green colonies seem to be almost always present on MEA with exception of several strains examined by us, isolated from clinical material and caves which constantly produced light pink colonies on MEA (not shown). Aspergillus subversicolor generally produced smaller colonies than other species, but not exclusively and it could be in some cases misidentified as a member of the A. creber lineage based solely on macromorphological characters. Even phylogenetically very closely related strains of the same species frequently produce dissimilar colonies under the same conditions and vice versa, phylogenetically distant strains sometimes produce similar pattern of colonies (Figs 8, 9). Some differences, e.g., the lack of sporulation, can be attributed to the long-term preservation of some strains (NRRL 238 or NRRL 227). On the other hand, in some other recently isolated strains, the lack of sporulation on some media seems to be rather random than specific to media. The production of Hülle cells is also rather random and not limited to some clades or media (Supplementary Table S3). The strain NRRL 239 was the only examined strain which produced Hülle cells regularly on all media except CREA. In conclusion, it is difficult to find macromorphological patterns specific for the narrow species or even for the main lineages. The variability within the two main lineages of A. versicolor and A. creber is extreme and largely overlapping between themselves.
Fig. 8.
Overview of macromorphological characters (obverse side of Petri dishes) within series Versicolores on eight cultivation media (MEA, CYA, CZA, YES, DG18, OA, CY20S, CREA) grown for 14 d at 25 °C.
Fig. 9.
Overview of macromorphological characters (reverse side of Petri dishes) within series Versicolores on eight cultivation media (MEA, CYA, CZA, YES, DG18, OA, CY20S, CREA) grown for 14 d at 25 °C.
Figures 10 and 11 display an overview of the dimensions of micromorphological characters separately for each strain and for the four main lineages. The plot showing the results of Linear Discriminant Analysis in Fig. 10 suggests that it is possible to differentiate the A. versicolor lineage, A. sydowii and A. subversicolor based on micromorphological measurements, but that the A. creber lineage interferes with all other lineages. The characters most useful for the discrimination were the length and width of conidia. Although the differences in measurements between the main lineages were mostly small, they were often evaluated as significant even using Tukey’s HSD test, probably due to a large number of measurements. The variability of micromorphological characters between individual strains showed sometimes large differences even between phylogenetically closely related strains. The length and width of conidia were the most stable characters throughout the main lineages (smaller conidia in A. versicolor lineage compared to other lineages). The degree of stability within species/lineage is much lower in measurements of phialides and metulae, and completely lost in vesicle diameters and stipe lengths. The stipe width is rather similar throughout the whole series.
Fig. 10.
Overview of dimensions of seven micromorphological characters. Box plots and violin plots of measurements distributed into four broadly defined species. Box plots show interquartile range, values within ± 1.5 of interquartile range (whiskers) and outliers. Asterisks on the right side of each plot express the statistical significance of pairwise comparisons using the Tukey’s HSD test (* < 0.05; ** < 0.01; *** < 0.001). The lower right subfigure shows the results of linear discriminant analysis based on micromorphological measurements distributed into four broadly defined species.
Fig. 11.
Dimensions of seven micromorphological characters across isolates of narrowly defined species in the series Versicolores shown in the form of box plots and violin plots. Box plots show interquartile range, values within ± 1.5 of interquartile range (whiskers) and outliers.
Physiology
The growth rates at variable temperatures and in osmotic gradient were measured for the same set of strains that were characterized macromophologically (Supplementary Tables S2, S3). The ability to grow at different temperatures differentiates A. sydowii and A. subversicolor from the remaining species/lineages (Fig. 12). Only some isolates of A. sydowii are capable of growing at 37 °C and this species grows moderately at 35 °C. Aspergillus subversicolor differs from all species by its inability of growing at 10 °C. It grows at 35 °C in contrast to strains from A. creber and A. versicolor lineages. All tested isolates of the A. versicolor and A. creber lineages grew restrictedly at 10 °C and none of them grew at 35 °C. There are very small differences between the A. versicolor and A. creber lineages in colony dimensions at 10, 15 and 30 °C. The strains of the A. versicolor lineage attained on average slightly larger colony diameters (in mm) after 14 d at 30 °C than A. creber lineage strains (minimum–average–maximum; A. versicolor: 18–30–43; A. creber: 10–20–32), and slightly smaller colony diameter at 10 °C (A. versicolor: 2–4.5–7; A. creber: 7–8.5–10) and 15 °C (A. versicolor: 10–13–17; A. creber: 15–17–19). The temperature optimum of the A. versicolor lineage is therefore higher than the optimum of the A. creber lineage.
Fig. 12.
Comparison of growth rates on MEA at temperatures ranging from 10 °C to 37 °C after 14 d of cultivation. Phylogenetic tree is based on the CaM sequences of selected strains and calculated in IQ-TREE; bar plots representing the colony size at specific temperature are displayed on the right.
The growth pattern in an osmotic gradient (Fig. 13) was similar to the growth rates at different temperatures, i.e., A. sydowii and A. subversicolor being clearly different from other species, while A. versicolor and A. creber lineages expressed a similar growth profile (Fig. 13B). The biggest differences between the strains can be observed at 5 % NaCl concentration. Aspergillus sydowii grows much faster at this concentration than other species, while A. subversicolor is on the other side of the spectrum. Similar results but with less pronounced differences can be seen on MEA without NaCl and on MEA with 10 % NaCl. All tested strains grew very restrictedly at 15 % NaCl concentration. Figure 13A displays the variable growth rate within the A. versicolor and A. creber lineages. The differences between representatives of different clades/species are more distinct within the A. versicolor lineage with A. hongkongensis growing the fastest at 5 % and 10 % NaCl and A. tabacinus and A. fructus growing at the slowest rate. The fastest growing species in the A. creber lineage at 5 % and 10 % NaCl were A. cvjetkovicii and A. tennesseensis but the differences from other species were very small.
Fig. 13.
Growth rates of species in osmotic (NaCl) gradient. Each point represents the slope value of the linear trendline from the growth curve of strains and NaCl concentration (0, 5, 10, 15 % w/v). The curve was created using the LOESS function in R package ggplot2, grey zones represent 95 % confidence intervals. A. Strains distributed into 17 narrow species. B. Strains distributed into four main lineages.
TAXONOMY
Aspergillus creber Jurjević, S.W. Peterson & B.W. Horn, IMA Fungus 3: 69. 2012. MycoBank MB 800598. Fig. 14.
Fig. 14.

Macromorphology and micromorphology of Aspergillus creber. A. Top row left to right: colonies on CYA, MEA, YES and OA after 14 d at 25 °C; bottom row left to right: colonies on CZA, CY20S, DG18 and CREA after 14 d at 25 °C (all colonies from strain NRRL 58592). B. Conidia. C. Conidia in air bubble. D, E. Hülle cells. F–I. Conidiophores. Scale bars = 10 μm.
= Aspergillus cvjetkovicii Jurjević, S.W. Peterson & B.W. Horn, IMA Fungus 3: 69. 2012. MycoBank MB 800599.
= Aspergillus jensenii Jurjević, S.W. Peterson & B.W. Horn, IMA Fungus 3: 70. 2012. MycoBank MB 800601.
= Aspergillus puulaauensis Jurjević, S.W. Peterson & B.W. Horn, IMA Fungus 3: 71. 2012. MycoBank MB 800602.
= Aspergillus tennesseensis Jurjević, S.W. Peterson & B.W. Horn, IMA Fungus 3: 73. 2012. MycoBank MB 800604.
= Aspergillus venenatus Jurjević, S.W. Peterson & B.W. Horn, IMA Fungus 3: 73. 2012. MycoBank MB 800605.
Typus: BPI 800912. Culture ex-type: CBS 145749 = NRRL 58592 = DTO 225-G7 = IBT 32277.
Colony diam, 25 °C (if not otherwise stated), 14 d (mm): MEA: 25–40; CYA: 18–38; CZA: 21–30; YES: 23–52; DG18: 25–51; OA: 22–36; CY20S: 26–47; CREA: 22–31. MEA 10 °C: 7–10; MEA 15 °C: 15–19; MEA 20 °C: 26–34; MEA 30 °C: 10–32; MEA 35 °C: 0.
Culture characteristics, 25 °C, 14 d: MEA: Colonies centrally raised, in some strains radially wrinkled; texture velutinous, floccose in the centre; margins entire to delicately filiform; mycelial areas white (#ffffff); sporulation bottle green (#006a4e) or viridian green (#40826d), at first white; orange yellow crayola patches with Hülle cells occasionally present; reverse centrally windsor tan (#a75502) to maximum yellow red (#f2ba49) in margins. CYA: Colonies centrally raised, radially wrinkled in some strains; texture velutinous; margins undulate; mycelial areas white to wheat (#f5deb3); sporulation at first white to wheat (#f5deb3), xanadu (#738678) or fern green (#4d744d); reverse centrally ochre (#cc7722) to gold crayola (#e6be8a) in margins, saddle brown (#964b00) when sporulation is dense. CZA: Colonies centrally raised, radially wrinkled in some strains; texture velutinous to floccose; margins undulate; exudate in the form of clear droplets present in some strains; bistre (#3d2b1f) soluble pigment present in some strains; mycelial areas jasmine (#f8de7e) or white; sporulation middle green (#4d8c57) or viridian (#40826d); reverse centrally seal brown (#59260b) or maximum yellow red (#f2ba49), in margins alloy orange (#c46210) or bistre (#3d2b1f) when soluble pigment is present. YES: Colonies centrally raised, significantly, irregularly wrinkled; texture floccose; margins entire, delicately undulate in some strains; mycelial areas white, in some strains bright yellow crayola (#ffaa1d); sporulation russian green (#679267), asparagus (#87a96b) or ash gray (#b2beb5); reverse centrally saddle brown (#964b00) or sepia (#704214) to naples yellow (#fada5e) in margins. DG18: Colonies flat or umbonate; texture velutinous; margins undulate to filiform; mycelial areas white; sporulation at first white, dark sea green (#8fbc8f) or green sheen (#6eaea1); reverse alloy orange (#c46210) to orange yellow crayola (#f8d568), in margins flax (#eedc82). OA: Colonies centrally raised; texture floccose to granular; margins entire, irregular in some strains; sporulation brunswick green (#1b4d3e) to yellow green crayola (#c5e384), in margins white; reverse orange peel (#ff9f00) to flax (#eedc82) in margins. CY20S: Colonies centrally raised, radially wrinkled; texture velutinous to floccose; margins entire to filiform; bistre (#3d2b1f) soluble pigment present in some strains; mycelial areas white in margins, maize crayola (#f2c649) in central areas; sporulation russian green (#679267), asparagus (#87a96b), ash gray (#b2beb5) or white; reverse centrally alloy orange (#c46210) or golden brown (#996515), in margins maize crayola (#f2c649) or medium champagne (#f3e5ab). CREA: Colonies centrally raised; texture velutinous to floccose; margins entire to delicately filiform; exudate in the form of clear droplets present in some strains; bistre (#3d2b1f) soluble pigment present in some strains; mycelial areas white; sporulation dark sea green (#8fbc8f) or cambridge blue (#a3c1ad); reverse dark purple (#301934), fuchsia crayola (#c154c1) or bistre (#3d2b1f); no acid production.
Micromorphology: Ascomata absent. Hülle cells present in some strains, most commonly on MEA or CZA (Supplementary Table S3), hyaline, subglobose, usually 18–21 × 16–19 μm. Conidial heads radiate, remaining compact, conidiophores biseriate. Stipes smooth, hyaline or light brown, (200–)250–350(–400) × 4–6 μm; vesicles hyaline, pyriform to subglobose, (10–)12–16 μm diam; metulae hyaline, cylindrical to barrel-shaped, 5–7 μm long, covering three quarters of the vesicle; phialides hyaline, flask-shaped, 6.5–7.5 μm long. Conidia globose to subglobose, verrucose, hyaline 2.5–3 (2.9 ± 0.2) × 2–2.5 (2.4 ± 0.2) μm.
Cardinal temperatures: Aspergillus creber grows at 10 °C, and the optimum growth temperature is between 20 and 25 °C. This species is able to grow well at 30 °C but does not grow at 35 °C.
Distinguishing characters: Aspergillus creber and A. versicolor are two species that possess huge genetic and phenotypic variability. It is impossible to distinguish these two species, because all morphological and physiological characters measured in this study largely overlap. The conidia of A. versicolor tend to be the smallest among the series members (A. versicolor 2.6 ± 0.2 × 2.1 ± 0.1 μm vs A. creber 2.9 ± 0.2 × 2.4 ± 0.2 μm). The strains of A. versicolor are usually growing slightly faster than those of A. creber on MEA supplied with 5 % NaCl (Fig. 13). The temperature optimum of these two species is also slightly different: A. versicolor strains grows faster at 30 °C and strains of A. creber grows faster at 10 and 15 °C. (Fig. 12) For distinguishing characters from A. subversicolor and A. sydowii, see the respective paragraphs below.
Aspergillus subversicolor Jurjević, S.W.Peterson & B.W. Horn, IMA Fungus 3: 69. 2012. MycoBank MB 800603. Fig. 15.
Fig. 15.

Macromorphology and micromorphology of Aspergillus subversicolor. A. Top row left to right: colonies on CYA, MEA, YES and OA after 14 d at 25 °C; bottom row left to right: colonies on CZA, CY20S, DG18 and CREA after 14 d at 25 °C (all colonies from strain NRRL 58999). B. Conidia. C. Conidia in air bubble. D–G. Conidiophores. Scale bars = 10 μm.
Typus: BPI 880918. Culture ex-type: CBS 145751 = NRRL 58999 = DTO 225-G9.
Colony diam, 25 °C (if not otherwise stated), 14 d (mm): MEA: 22; CYA: 31; CZA: 12; YES: 29; DG18: 22; OA: 19; CY20S: 25; CREA: 17. MEA 10 °C: 0; MEA 15 °C: 7; MEA 20 °C: 18; MEA 30 °C: 26; MEA 35 °C: 8.
Culture characteristics, 25 °C, 14 d: MEA: Colonies centrally raised, moderately wrinkled; texture velutinous; margins undulate; mycelial areas white (#ffffff); sporulation verdigris (#43b3ae); reverse centrally alloy orange (#c46210) to jasmine (#f8de7e) in margins. CYA: Colonies centrally raised, moderately wrinkled; texture floccose; margins undulate; mycelial areas white; sporulation polished pine (#5da493); reverse centrally burnt orange (#cc5500) to flax (#eedc82) in margins. CZA: Colonies crateriform (raised with central depression), significantly wrinkled; texture floccose; margins undulate; exudate present in the form of clear droplets; mycelial areas white; sporulation pine green (#01796f) to olivine (#9ab973); reverse saddle brown (#964b00) with medium champagne (#f3e5ab) margins. YES: Colonies crateriform (raised with central depression), significantly wrinkled; texture velutinous to floccose; margins undulate to lobate; mycelial areas white to linen (#faf0e6); sporulation dark sea green (#8fbc8f) to green sheen (#6eaea1); reverse centrally earth yellow (#e1a95f) to black bean (#3d0c02), in margins alloy orange (#c46210). DG18: Colonies centrally raised, moderately radially wrinkled; texture velutinous; margins undulate to lobate; mycelial areas hyaline; sporulation green sheen (#6eaea1); reverse saddle brown (#964b00) to alloy orange (#c46210) to naples yellow (#fada5e) in margins. OA: Colonies centrally raised; texture irregularly floccose; margins delicately undulate; mycelial areas hyaline; sporulation deep jungle green (#004b49); reverse centrally alloy orange (#c46210) to medium champagne (#f3e5ab) in margins. CY20S: Colonies crateriform (raised with central depression), radially wrinkled; texture floccose; margins undulate to delicately filiform; mycelial areas white; sporulation dark sea green (#8fbc8f); reverse centrally alloy orange (#c46210) to sunray (#e3ab57), in margins jasmine (#f8de7e). CREA: Colonies centrally raised; texture floccose; margins undulate; exudate present in the form of clear droplets; mycelial areas white to beige (#f5f5dc); sporulation viridian (#40826d) to russian green (#679267); reverse raisin black (#242124), pink lavender (#d8b2d1) in margins; no acid production.
Micromorphology: Ascomata absent. Hülle cells absent. Conidial heads radiate, remaining compact, conidiophores biseriate. Stipes smooth, hyaline or light brown, 350–450 × 5–6 μm; vesicles hyaline, pyriform to spatulate, 14–17 μm diam; metulae hyaline, cylindrical to obovate, 6–7 μm long, covering three quarters of the vesicle; phialides hyaline, flask-shaped, 7–8 μm long. Conidia subglobose to ovoid, verrucose, hyaline 3 (3 ± 0.1) × 2–2.5 (2.3 ± 0.1) μm.
Cardinal temperatures: Aspergillus subversicolor does not grow at 10 °C, but grows at 15 °C, and its optimum growth temperature is 30 °C. This species is able to grow restrictedly at 35 °C but not at 37 °C.
Notes: Aspergillus subversicolor is phylogenetically distant from other species in the series Versicolores, but clearly belongs to the series (Houbraken et al. 2020). It is easily distinguishable from other members of the series by its slower growth on almost all cultivation media and on MEA supplied with 5 % NaCl (Fig. 13). Unlike other species, it is unable to grow at 10 °C, but contrary to A. creber and A. versicolor, it grows restrictedly at 35 °C (Fig. 12).
Aspergillus sydowii (Bainier & Sartory) Thom & Church, Aspergilli: 147. 1926. MycoBank MB 279636. Fig. 16.
Fig. 16.

Macromorphology and micromorphology of Aspergillus sydowii. A. Top row left to right: colonies on CYA, MEA, YES and OA after 14 d at 25 °C; bottom row left to right: CZA, CY20S, DG18 and CREA after 14 d at 25 °C (all colonies from strain NRRL 254). B. Conidia. C. Conidia in air bubble. D–G. Conidiophores. Scale bars = 10 μm.
Typus: IMI 211384. Culture ex-type: CBS 593.65 = NRRL 250 = IMI 211384 = NRRL 254 = ATCC 16844.
Colony diam, 25 °C (if not otherwise stated), 14 d (mm): MEA: 34–48; CYA: 36–50; CZA: 32–40; YES: 45–48; DG18: 49–54; OA: 28–39; CY20S: 38–61; CREA: 38–43. MEA 10 °C: 3–5; MEA 15 °C: 11–13; MEA 20 °C: 20–35; MEA 30 °C: 39–50; MEA 35 °C: 10–17; MEA 37 °C: 0–5.
Culture characteristics, 25 °C, 14 d: MEA: Colonies centrally raised, moderately radially wrinkled; texture velutinous; margins undulate; mycelial areas white (#ffffff); sporulation celadon green (#2f847c) to dark cyan (#008b8b); reverse centrally dark brown (#654321) to medium champagne (#f3e5ab) in margins or centrally rust (#b7410e) to yellow crayola (#fce883) in margins. CYA: Colonies centrally raised, moderately radially wrinkled in some strains; texture velutinous; margins entire to delicately filiform; exudate present in some strains in the form of clear droplets; mycelial areas white; sporulation centrally deep space sparkle (#4a646c), dark cyan in margins (#008b8b); reverse centrally seal brown (#59260b), in margins windsor tan (#a75502) or banana mania (#fae7b5). CZA: Colonies centrally raised, wrinkled in some strains; texture floccose; margins undulate to delicately filiform; exudate present in the form of clear droplets; bistre (#3d2b1f) soluble pigment present in some strains; mycelial areas white to linen (#faf0e6); sporulation brunswick green (#1b4d3e) to celadon green (#2f847c); reverse centrally bistre (#3d2b1f) or seal brown (#59260b) to banana mania (#fae7b5) in margins. YES: Colonies raised, moderately wrinkled; texture floccose, cottony in margins; margins undulate to irregular; mycelial areas white; sporulation ash gray (#b2beb5) or celadon green (#2f847c); reverse copper (#b87333) to jasmine (#f8de7e). DG18: Colonies centrally raised; texture velutinous; margins entire to delicately filiform; mycelial areas white; sporulation deep jungle green (#004b49) to ash gray (#b2beb5); reverse centrally camel (#c19a6b) to beige (#f5f5dc) in margins. OA: Colonies centrally raised, moderately wrinkled in some strains; texture velutinous to floccose; margins undulate to irregular; mycelial areas white or hyaline; sporulation centrally deep jungle green (#004b49) or russian green (#679267) to ash grey in margins (#b2beb5); reverse centrally saddle brown (#964b00) to medium champagne (#f3e5ab) in margins. CY20S: Colonies centrally raised or crateriform (raised with central depression), radially or irregularly wrinkled; texture centrally floccose to cottony in margins; margins undulate to delicately filiform; mycelial areas white to linen (#faf0e6); sporulation celadon green (#2f847c) or ash gray (#b2beb5); reverse centrally French bistre (#856d4d) to beige (#f5f5dc) in margins. CREA: Colonies centrally raised; texture velutinous to floccose; margins entire to delicately filiform; exudate present in the form of clear droplets; mycelial areas white to tan (#d2b48c); sporulation dark cyan (#008b8b) to middle blue green (#8dd9cc); reverse centrally raisin black (#242124) to charcoal (#36454f), in margins pink lavender (#d8b2d1); no acid production.
Micromorphology: Ascomata absent. Hülle cells absent. Conidial heads radiate, remaining compact, conidiophores biseriate. Stipes smooth, hyaline or light brown 250–400 × 4–6 μm; vesicles hyaline, spatulate to clavate, 10–17(–25) μm diam; metulae hyaline, cylindrical to barrel-shaped, 6–7 μm long, covering three quarters of the vesicle; phialides hyaline, flask-shaped, 6.5–8 μm long. Conidia subglobose to ovate, verrucose, hyaline 3–3.5 (3.1 ± 0.1) × 2.5–3 (2.7 ± 0.1) μm.
Cardinal temperatures: Aspergillus sydowii grows restrictedly at 10 °C, and the optimum growth temperature is 30 °C. Some strains of this species are able to grow restrictedly at 37 °C but not at 40 °C.
Distinguishing characters: Aspergillus sydowii exhibits some genetic variability, however it was never split into more species and the concept of this species remains the same since its original description in 1926 (Thom & Church). It can be distinguished from other species in series Versicolores by its typically blue-green to turquoise colony colours on MEA, CYA, and CZA. Additionally, this species is more osmotolerant than other members of the series as it grows the fastest on media supplied with 5 and 10 % of NaCl (Fig. 13). It is also the only species of the series with some strains capable of growing at 37 °C (Fig. 12).
Aspergillus versicolor (Vuill.) Tirab., Ann. Bot., Roma 7: 9. 1908. MycoBank MB 172159. Fig. 17.
Fig. 17.

Macromorphology and micromorphology of Aspergillus versicolor. A. Top row left to right: colonies on CYA, MEA, YES and OA after 14 d at 25 °C; bottom row left to right: CZA, CY20S, DG18 and CREA after 14 d at 25 °C (all colonies from strain CCF 3690). B. Conidia. C. Conidia in air bubble. D, E. Hülle cells. F–I. Conidiophores. Scale bars = 10 μm.
= Aspergillus amoenus M. Roberg, Hedwigia 70: 138. 1931. MycoBank MB 250654.
= Aspergillus austroafricanus Jurjević, S.W. Peterson & B.W. Horn, IMA Fungus 3: 67. 2012. MycoBank MB 800597.
= Aspergillus fructus Jurjević, S.W. Peterson & B.W. Horn, IMA Fungus 3: 70. 2012. MycoBank MB 800600.
= Aspergillus griseoaurantiacus Visagie, Hirooka & Samson, Stud. Mycol. 78: 112. 2014. MycoBank MB 809197.
= Aspergillus hongkongensis C.C. Tsang et al., Diagn. Microbiol. Infect. Dis. 84: 130. 2016. MycoBank MB 810279.
= Aspergillus pepii Despot et al., Mycol. Prog. 16: 67. 2017. MycoBank MB 817073.
= Aspergillus protuberus Munt.-Cvetk., Mikrobiologiya 5: 119. 1968. MycoBank MB 326650.
= Aspergillus tabacinus Nakaz. et al., J. Agric. Chem. Soc. Japan 10: 177. 1934. MycoBank MB 539544.
Typus: CBS 583.65. Culture ex-type: CBS 583.65 = NRRL 238 = ATCC 9577 = IFO 33027 = IMI 229970 = JCM 10258 = UAMH 4956 = QM 7478 = Thom 5519.57 = WB 238.
Colony diam, 25 °C (if not otherwise stated), 14 d (mm): MEA: 20–48; CYA: 26–46; CZA: 22–38; YES: 25–60; DG18: 30–49; OA: 22–49; CY20S: 26–60; CREA: 22–45. MEA 10 °C: 2–7; MEA 15 °C: 10–17; MEA 20 °C: 20–32; MEA 30 °C: 18–43; MEA 35 °C: 0.
Culture characteristics, 25 °C, 14 d: MEA: Colonies centrally raised, in some strains radially wrinkled; texture velutinous, floccose in the centre; margins entire to delicately filiform; exudate present in the form of clear droplets; mycelial areas white (#ffffff); sporulation forest green crayola (#5fa777), russian green (#679267), viridian (#40826d) or myrtle green (#317873); flax (#eedc82) patches with Hülle cells present in some strains; reverse centrally alloy orange (#c46210) or dark brown (#654321) to flax (#eedc82) in margins. CYA: Colonies centrally raised, radially wrinkled; texture velutinous to floccose, with cottony centre in some strains; margins entire, less commonly undulate; exudate present in the form of clear droplets; mycelial areas white; sporulation bottle green (#006a4e), pine green (#01796f) or fern green (#4d744d); reverse centrally bistre brown (#967117) or copper (#b87333) to beige (#f5f5dc) in margins. CZA: Colonies centrally raised, radially (in some strains also concentrically) wrinkled; texture velutinous to floccose; margins entire, seldom undulate; bistre (#3d2b1f) soluble pigment present in some strains; exudate present in the form of clear droplets; mycelial areas white; sporulation brunswick green (#1b4d3e) or hunter green (#355e3b), seldom white to ash grey (#b2beb5); gold metallic (#d4af37) patches with Hülle cells present in some strains; reverse centrally saddle brown (#964b00) to windsor tan (#a75502) or black bean (#3d0c02) in strains producing soluble pigment, in margins wheat (#f5deb3). YES: Colonies centrally raised, significantly, irregularly wrinkled, texture velutinous to floccose; margins entire, seldom undulate or irregular; exudate present in some strains in the form of clear droplets; mycelial areas white; sporulation deep jungle green (#004b49) shiny shamrock (#5fa778) or cambridge blue (#a3c1ad), seldom white to ash gray (#b2beb5); yellow crayola (#fce883) patches with Hülle cells present in some strains; reverse centrally liver chestnut (#987456) to alloy orange (#c46210), in margins jasmine (#f8de7e). DG18: Colonies centrally raised; texture velutinous, in some strains cottony in the center; margins entire, in some strains irregular; mycelial areas white; sporulation illuminating emerald (#319177) or xanadu (#738678), seldom white to ash gray (#b2beb5); yellow crayola (#fce883) patches with Hülle cells present in some strains; reverse centrally saddle brown (#964b00) to alloy orange (#c46210), in margins straw (#e4d96f). OA: Colonies centrally raised; texture floccose; margins entire to irregular; rust (#b7410e) to ecru (#c2b280) soluble pigment present in some strains; mycelial areas white or hyaline; sporulation deep jungle green (#004b49), fern green (#4d744d) or green sheen (#6eaea1), in some strains with vegas gold (#c5b358) patches formed by conidiophores, not by Hülle cells; reverse centrally dark brown (#654321) to copper (#b87333) or rust (#b7410e) in strains producing soluble pigment, in margins flax (#eedc82). CY20S: Colonies centrally raised, radially wrinkled; texture floccose with cottony patches; margins entire to irregular; mycelial areas white; sporulation green sheen (#6eaea1), fern green (#4d744d) or ash grey (#b2beb5), in some strains with gold metallic (#d4af37) patches (formed by conidiophores, not Hülle cells); canary (#ffff9a) to yellow crayola (#fce883) patches with Hülle cells present in some strains; reverse centrally alloy orange (#c46210) to yellow crayola (#fce883) in margins or centrally olive green (#b5b35c) to beige (#f5f5dc) in margins. CREA: Colonies centrally raised, in some strains moderately wrinkled; texture velutinous to floccose; margins entire to delicately filiform; exudate present in some strains in the form of clear or fire opal (#e95c4b) droplets; mycelial areas white to medium champagne (#f3e5ab); sporulation cambridge blue (#a3c1ad), xanadu (#77897c) or fern green (#4d744d), in some strains ash grey (#b2beb5); reverse centrally dark purple (#301934) to fuchsia crayola (#c154c1) in margins, or centrally charcoal (#36454f) to tuscany (#c09999) in margins; no acid production.
Micromorphology: Ascomata absent. Hülle cells present in some strains, most commonly on MEA, YES or DG18 (Supplementary Table S3), hyaline, subglobose, usually 18–21 × 15–20 μm. Conidial heads radiate, remaining compact, conidiophores biseriate. Stipes smooth, hyaline or light brown, 300–600 × 4–6 μm; vesicles hyaline, pyriform to spatulate, (10–)12–16(–20) μm diam; metulae hyaline, cylindrical to barrel-shaped, 5–6 μm long, covering three quarters to the entire vesicle; phialides hyaline, flask-shaped, 6–7.5 μm long. Conidia subglobose to ovate, finely verrucose, hyaline 2.5–3 (2.6 ± 0.2) × 2–2.5 (2.1 ± 0.1) μm.
Cardinal temperatures: Aspergillus versicolor grows restrictedly at 10 °C, and the optimum growth temperature is between 25 and 30 °C. This species is able to grow well at 30 °C but does not grow at 35 °C.
Distinguishing characters: See respective paragraphs of the species above.
DISCUSSION
Larger amounts of molecular data led to a higher rate of description of new species, with phylogenetically defined/cryptic species becoming increasingly common (Struck et al. 2018). This is also the case in Aspergillus, where the number of accepted species was steadily rising for the last twenty years (Houbraken et al. 2020). Recently, studies employing the species delimitation methods often resulted in a reduction in the number of species (Hubka et al. 2018, Wang et al. 2018, Boluda et al. 2019, Li et al. 2019, Feng et al. 2021, Nguyen et al. 2021), even when phylogenomic approaches were used (Parker et al. 2022). These studies usually advocate for an integrative approach using as much data of different types as possible. Enough variability in the dataset is often a requirement from species delimitation methods (Mason et al. 2020, Burbrink & Ruane 2021, Cicero et al. 2021, Magoga et al. 2021). Unfortunately, this condition is frequently hard to follow in taxonomic studies because obtaining large numbers of genetically similar isolates from different localities is difficult to achieve especially in uncommon species. Such efforts are often hampered in practice by administrative (e.g., Nagoya protocol), financial and other barriers. A logical outcome in practice is that the fungal species are frequently described based on a low number of isolates with a limited variability due to insufficient sampling. In such cases where intraspecific variability is low or not present at all, it is usually easy to find phenotypic features distinguishing small clusters of strains, or single strains representing different populations/species. True intraspecific variability is often uncovered much later when enough strains representing a broader species variability is collected. In the meantime, however, the species can already be fragmented into several newly described species, which are often cryptic and sometimes introduced only to preserve the monophyly of the other species in the phylogeny. Over time, the concept will become unsustainable until the next overhaul.
The taxonomy of A. versicolor and its relatives has been a subject of many taxonomic re-arrangements and repeated expansions followed by reductions in the number of species. Currently, the species number is again at one of the historical peaks and involves 17 species, most of which can be considered cryptic. Over time, the evidence began to accumulate that some isolates cannot be identified satisfactorily to the species level even with the help of molecular methods. Contradictory species identification results based on sequences of different genes were the initial signal that the species concept in series Versicolores is becoming unsustainable. To verify this assumption, we gathered a much larger collection of series Versicolores members compared to previous taxonomic studies. Most species delimitation methods have consistently suggested a significant reduction in the number of species as summarized below.
Phylogenetic support of species reduction
The species delimitation methods employed in this study broadly agreed on the distinction of four species (A. creber, A. subversicolor, A. sydowii and A. versicolor). Only seven out of 28 methods resulted in the delimitation of more than four species but without clear agreement on the arrangement of the additional species. Such conclusive results are probably caused by a sufficient sampling in the majority of subclades. In general, if there are only a few individuals with large genetic distances in the dataset, the species delimitation methods may overestimate the species number, but with a large set of individuals covering genetic diversity and closing the gaps between clades, the probability of methods to delimit species in their correct boundaries increases (Pante et al. 2015, Chambers & Hillis 2020). The multilocus method STACEY gave similar support to the delimitation of four or five species with A. venenatus treated as separate species in the setting with a lower collapseheight parameter. The uncertainty about A. venenatus can probably be attributed to underrepresentation of isolates from this clade (only two strains from similar localities). Delimitation of A. protuberus as separate species from A. versicolor was also supported by several single-locus delimitation methods but with different arrangements. The incongruences and probable recombination were detected between A. protuberus and other species in benA and Tsr1 loci (Fig. 4). Considering all results together with the inability to reliably distinguish these species morphologically, we suggest treating A. venenatus as a synonym of A. creber and A. protuberus as a synonym of A. versicolor.
For the independent testing of species hypotheses proposed by delimitation methods, we used a recently developed program DELINEATE (Sukumaran et al. 2021), which gives more relevant results compared to the program BPP as discussed previously (Sukumaran & Knowles 2017, Sklenář et al. 2021). The results of the analysis were stable, supporting the broad concept of the species in all scenarios (Fig. 7). The tendency to lump the populations into broad species was always present, even in less probable and meaningful scenarios which were tested by us and not shown in Fig. 7. DELINEATE needs some a priori defined species that are certainly correctly delimited in the dataset. This requirement is problematic in the series Versicolores since the only species that could be conclusively a priori defined were A. sydowii and A. subversicolor. We overcame this fact by setting up more scenarios with additionally defined delimitations in the A. creber and A. versicolor lineages (both lineages were divided into subgroups based on the species trees calculated by starBEAST - see Fig. 3). Another solution could be the inclusion of several well-defined species from other related series in section Nidulantes.
We also compared the amount of intraspecific variability between the broadly defined species and other accepted species from Aspergillus with described intraspecific variability. The resulting graph (Fig. 18) shows that the majority of examined species express the phylogenetic variability of up to 4 % (we can also see that there are only a few species of Aspergillus that possess intraspecific genetic variability and have the sequences of Mcm7 and Tsr1 genes available and some species gather a large amount of variability in the benA gene, which is caused by intronic sequences). The species from series Versicolores exhibit different amounts of variability with A. sydowii having approximately 1 % maximum phylogenetic distance between its strains, A. creber between 2 and 3 %, and A. versicolor accumulating more than 3 % of variability in all studied loci. However, even this amount of variability does not make A. versicolor an outlier among other Aspergillus species.
Fig. 18.

Graphical representation (jitter plot) of maximum sequence dissimilarity between strains of series Versicolores (coloured points) and other Aspergillus species (grey points). The comparison includes only species with strains isolated at least from three countries to ensure the presence of representative intraspecific genetic variability. Basic data used for construction of the jitter plot are listed in the Supplementary Table S4.
Morphological and physiological aspects
High morphological variability has always been connected with A. versicolor and its relatives (Raper & Fennell 1965, Klich et al. 1993, Jurjević et al. 2012, Géry et al. 2021). This fact also contributed to many re-arrangements in this group before the molecular era. We demonstrated the high intraspecific variability of the series Versicolores in macromorphological and micromorphological characters (see Fig. 8–11). It is clear from both the colony colours, texture, and dimensions, as well as from boxplots representing micromorphological features that even phylogenetically closely related isolates can exhibit very different phenotypic characteristics. These observations further support reducing the number of species accepted in the series. The linear discriminant analysis (Fig. 10) shows that it is almost impossible to distinguish A. creber and A. versicolor lineages based on micromorphological characters. The growth curves in the osmotic gradient displayed the same pattern (Fig. 13), i.e., A. sydowii and A. subversicolor were easily distinguishable, but lineages of A. creber and A. versicolor grew similarly under changing conditions. From a practical point of view, this means that even after this drastic reduction in the number of species there are still two species that can be considered cryptic from the phenotypic point of view and can only be reliably identified using molecular methods.
Updated taxonomy of series Versicolores
Molecular analyses performed in this study indicated that the current species number is overestimated and not sustainable. With a high level of agreement, the majority of methods supported only A. creber, A. subversicolor, A. sydowii, and A. versicolor in the series. If we were to consider maintaining the current taxonomic scheme despite the results mentioned above, then we would have to describe at least one new species in the A. creber lineage and up to ten new species in the A. versicolor lineage (Figs 1, 2). Alternative solutions would be to synonymize some species and describe fewer new species. These solutions were not supported by phenotypic data and receive no or negligible support from phylogenetic methods.
As a result, a total of 13 species were put in synonymy, five with A. creber (A. cvjetkovicii, A. jensenii, A. puulaauensis, A. tennesseensis, and A. venenatus) and eight with A. versicolor (A. amoenus, A. austroafricanus, A. fructus, A. griseoaurantiacus, A. hongkongensis, A. pepii, A. protuberus, and A. tabacinus). The naming of the two broad species follows the priority rules of the International Code of Nomenclature for algae, fungi, and plants (Turland et al. 2018). Aspergillus versicolor is the oldest published name in the A. versicolor lineage and A. creber, simultaneously published with several other new species in its lineage (Jurjević et al. 2012), was the highest placed name in the taxonomy section of that article. This new taxonomy is schematically shown by a phylogenetic tree in Fig. 19. This tree is identical to the tree in Fig. 2 but displayed in a radial form, which nicely shows the presence of four wide clades and many small ones representing some of the 17 species accepted before this revision. Additionally, a new species belonging in series Versicolores, A. qilianyuensis, was described by Wang & Zhuang (2022) based on single strain, but we did not include the species in this study, since it was published during the final preparations of this article and we were unable to obtain the ex-type strain.
Fig. 19.
Taxonomic re-arrangement of series Versicolores into four species with marked synonyms. The new taxonomy is schematically shown in the form of the radial tree (ML tree identical to that from Fig. 2).
We believe that the user community will benefit from this new taxonomy with a lower number of cryptic species. Simplified classification with only four species will facilitate species identification in practices that was complicated by inconsistent identification results when using sequence data of different genes (Fig. 4) and the impossibility of finding species-specific mass spectra within Aspergillus when using the MALDI-TOF method (Shao et al. 2022). The four supported species in series Versicolores can be identified by all of the five genes we used in this study, however identification based on ITS remains problematic. To test the discriminatory power of ITS in the series, we obtained 48 ITS sequences of strains used in this study that are available in the GenBank database (Table 1; alignment available from the Dryad Digital Repository: https://doi.org/10.5061/dryad.63xsj3v5q). There are several substitutions distinguishing A. sydowii and A. subversicolor from the remaining species, however there is only one substitution separating A. creber and A. versicolor at the beginning of the ITS1 region and this position is not known for all the strains. A phylogenetic tree based on this dataset calculated by Maximum Likelihood in IQ-TREE (Supplementary Fig. S1) was poorly resolved, and neither A. creber, nor A. versicolor formed separate clades. Overall, we cannot recommend ITS as a reliable marker for the identification of series Versicolores species, unlike all other loci used in this study.
Acknowledgments
František Sklenář was supported by the project of Charles University Grant Agency (GAUK 380821). The project was supported by the Czech Ministry of Health (grant NU21-05-00681), the Charles University Research Centre program no. 204069 and Czech Academy of Sciences Long-term Research Development Project (RVO: 61388971). We are grateful to Radek Zmítko and Jan Karhan for the help with graphical adjustments of some analysis outputs. We thank Milada Chudíčková and Lenka Zídková for their invaluable assistance in the laboratory. VH is grateful for the support from the Japan Society for the Promotion of Science Postdoctoral Fellowships for Research in Japan (Standard) and the support from the Grant-in-aid for JSPS research fellows (grant No. 20F20772). Cobus M Visagie was financially supported by the Future Leaders - African Independent Research fellowship programme (FLAIR, FLR\R1\201831). The FLAIR Fellowship Programme is a partnership between the African Academy of Sciences and the Royal Society funded by the UK Government’s Global Challenges Research Fund. We would like to acknowledge Keith A Seifert, Shivan Bezuidenhout, Renan Barbosa, Jiří Řehulka and David Nkwe who provided some strains used in this study.
DECLARATION ON CONFLICT OF INTEREST
The authors declare that there is no conflict of interest.
Supplementary Material: https://studiesinmycology.org/
Phylogenetic tree based on 48 ITS sequences of series Versicolores strains available from the NCBI GenBank database (Table 1). The tree was calculated in IQ-TREE v. 2.1.2 with 100 000 ultrafast bootstrap replicates (only support values higher than 70 % are shown). TrNef was selected as the most suitable model of evolution by jModelTest v 2.1.7. The ex-type strains are designated with a superscript T.
Strains from Aspergillus series Versicolores used for calculation of phylogenetic tree based on the partial calmodulin sequences (Fig. 1).
Growth rates of selected strains on eight cultivation media after 14 d in mm (average values from at least three measurements).
Production of Hülle cells on eight cultivation media after 3 wk of cultivation at 25 °C in the dark.
Maximum sequence dissimilarity between isolates of the same Aspergillus species whose species limits have been delimited using methods based on multispecies coalescent model; only species represented by isolates from at least three countries were included.
REFERENCES
- Ahlmann-Eltze C, Patil I. (2021). ggsignif: R Package for Displaying Significance Brackets for’ggplot2’. PsyArxiv doi: 10.31234/osf.io/7awm6. [Google Scholar]
- Ahrens D, Fujisawa T, Krammer HJ, et al. (2016). Rarity and incomplete sampling in DNA-based species delimitation. Systematic Biology 65: 478–494. [DOI] [PubMed] [Google Scholar]
- Beck M. (2017). ggord: Ordination Plots with ggplot2. R package version 1: 588. [Google Scholar]
- Boluda C, Rico V, Divakar P, et al. (2019). Evaluating methodologies for species delimitation: the mismatch between phenotypes and genotypes in lichenized fungi (Bryoria sect. Implexae, Parmeliaceae). Persoonia 42: 75–100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bongomin F, Moore CB, Masania R, et al. (2018). Sequence analysis of isolates of Aspergillus from patients with chronic and allergic aspergillosis reveals a spectrum of cryptic species. Future Microbiology 13: 1557–1563. [DOI] [PubMed] [Google Scholar]
- Borgohain P, Barua P, Dutta PJ, et al. (2019). Onychomycosis associated with superficial skin infection due to Aspergillus sydowii in an immunocompromised patient. Mycopathologia 184: 683–689. [DOI] [PubMed] [Google Scholar]
- Bouckaert R, Heled J. (2014). DensiTree 2: seeing trees through the forest. bioRxiv doi: 10.1101/012401. [Google Scholar]
- Bouckaert R, Vaughan TG, Barido-Sottani J, et al. (2019). BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis. PLoS Computational Biology 15: e1006650. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Burbrink FT, Ruane S. (2021). Contemporary philosophy and methods for studying speciation and delimiting species. Ichthyology & Herpetology 109: 874–894. [Google Scholar]
- Chambers EA, Hillis DM. (2020). The multispecies coalescent over-splits species in the case of geographically widespread taxa. Systematic Biology 69: 184–193. [DOI] [PubMed] [Google Scholar]
- Cicero C, Mason NA, Jiménez RA, et al. (2021). Integrative taxonomy and geographic sampling underlie successful species delimitation. Ornithology 138: ukab009. [Google Scholar]
- Danagoudar A, Pratap G, Shantaram M, et al. (2021). Antioxidant, cytotoxic and anti-choline esterase activity of green silver nanoparticles synthesized using Aspergillus austroafricanus CGJ-B3 (endophytic fungus). Analytical Chemistry Letters 11: 15–28. [Google Scholar]
- De Vries RP, Riley R, Wiebenga A, et al. (2017). Comparative genomics reveals high biological diversity and specific adaptations in the industrially and medically important fungal genus Aspergillus. Genome Biology 18: 1–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dobolyi C, Inotai K, Bata-Vidács I, et al. (2021). Isolation and detailed characterisation of the first sterigmatocystin hyperproducer mould strain in Hungary. Acta Alimentaria 50: 247–258. [Google Scholar]
- Domsch KH, Gams W, Anderson T-H. (2007). Compendium of soil fungi. 2nd ed. edition. IHW-Verlag, Eching. [Google Scholar]
- Drummond AJ, Xie W, Heled J. (2012). Bayesian inference of species trees from multilocus data using *BEAST. Molecular Biology and Evolution 29: 1969–1973. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Feng XY, Wang XH, Chiang YC, et al. (2021). Species delimitation with distinct methods based on molecular data to elucidate species boundaries in the Cycas taiwaniana complex (Cycadaceae). Taxon 70: 477–491. [Google Scholar]
- Fujisawa T, Barraclough TG. (2013). Delimiting species using single-locus data and the Generalized Mixed Yule Coalescent (GMYC) approach: a revised method and evaluation on simulated datasets. Systematic Biology 62: 707–724. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gams W, Christensen M, Onions AHS, et al. (1985). Infrageneric taxa of Aspergillus. In: Advances in Penicillium and Aspergillus Systematics. (Samson R.A., Pitt J.I., eds). Plenum Press, New York: 55–62. [Google Scholar]
- Géry A, Lepetit C, Heutte N, et al. (2022). Cellular cytotoxicity and oxidative potential of recurrent molds of the genus Aspergillus series Versicolores. Microorganisms 10: 228. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Géry A, Rioult J-P, Heutte N, et al. (2021). First characterization and description of Aspergillus series Versicolores in French bioaerosols. Journal of Fungi 7: 676. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Glass NL, Donaldson GC. (1995). Development of primer sets designed for use with the PCR to amplify conserved genes from filamentous ascomycetes. Applied and Environmental Microbiology 61: 1323–1330. [DOI] [PMC free article] [PubMed] [Google Scholar]
- González-Abradelo D, Pérez-Llano Y, Peidro-Guzmán H, et al. (2019). First demonstration that ascomycetous halophilic fungi (Aspergillus sydowii and Aspergillus destruens) are useful in xenobiotic mycoremediation under high salinity conditions. Bioresource Technology 279: 287–296. [DOI] [PubMed] [Google Scholar]
- Hall TA. (1999). BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucleic Acids Symposium Series 41: 95–98. [Google Scholar]
- Hong S-B, Cho H-S, Shin H-D, et al. (2006). Novel Neosartorya species isolated from soil in Korea. International Journal of Systematic and Evolutionary Microbiology 56: 477–486. [DOI] [PubMed] [Google Scholar]
- Houbraken J, Kocsubé S, Visagie CM, et al. (2020). Classification of Aspergillus, Penicillium, Talaromyces and related genera (Eurotiales): An overview of families, genera, subgenera, sections, series and species. Studies in Mycology 95: 5–169. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huang C, Feng Y, Patel G, et al. (2021). Production, immobilization and characterization of beta-glucosidase for application in cellulose degradation from a novel Aspergillus versicolor. International Journal of Biological Macromolecules 177: 437–446. [DOI] [PubMed] [Google Scholar]
- Hubka V, Barrs V, Dudová Z, et al. (2018). Unravelling species boundaries in the Aspergillus viridinutans complex (section Fumigati): opportunistic human and animal pathogens capable of interspecific hybridization. Persoonia 41: 142–174. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hubka V, Nováková A, Peterson SW, et al. (2016). A reappraisal of Aspergillus section Nidulantes with descriptions of two new sterigmatocystin-producing species. Plant Systematics and Evolution 302: 1267–1299. [Google Scholar]
- Imbert S, Normand AC, Gabriel F, et al. (2019). Multi-centric evaluation of the online MSI platform for the identification of cryptic and rare species of Aspergillus by MALDI-TOF. Medical Mycology 57: 962–968. [DOI] [PubMed] [Google Scholar]
- Jakšić Despot D, Kocsubé S, Bencsik O, et al. (2017). New sterigmatocystin-producing species of Aspergillus section Versicolores from indoor air in Croatia. Mycological Progress 16: 63–72. [Google Scholar]
- Janda-Ulfig K, Ulfig K, Markowska A. (2009). Extracellular enzyme profiles of xerophilic fungi isolated from dried materials of medicinal plants. Polish Journal of Environmental Studies 18: 391–397. [Google Scholar]
- Jia J, Chen M, Mo X, et al. (2019). The first case report of kerion-type scalp mycosis caused by Aspergillus protuberus. BMC Infectious Diseases 19: 1–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jones G. (2017). Algorithmic improvements to species delimitation and phylogeny estimation under the multispecies coalescent. Journal of Mathematical Biology 74: 447–467. [DOI] [PubMed] [Google Scholar]
- Jones G, Aydin Z, Oxelman B. (2015). DISSECT: an assignment-free Bayesian discovery method for species delimitation under the multispecies coalescent. Bioinformatics 31: 991–998. [DOI] [PubMed] [Google Scholar]
- Jurjević Ž, Kubátová A, Kolařík M, et al. (2015). Taxonomy of Aspergillus section Petersonii sect. nov. encompassing indoor and soil-borne species with predominant tropical distribution. Plant Systematics and Evolution 301: 2441–2462. [Google Scholar]
- Jurjević Ž, Peterson SW, Horn BW. (2012). Aspergillus section Versicolores: nine new species and multilocus DNA sequence based phylogeny. IMA Fungus 3: 59–79. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jurjević Ž, Peterson SW, Solfrizzo M, et al. (2013). Sterigmatocystin production by nine newly described Aspergillus species in section Versicolores grown on two different media. Mycotoxin Research 29: 141–145. [DOI] [PubMed] [Google Scholar]
- Kato H, Nakahara T, Sugimoto K, et al. (2015). Isolation of notoamide S and enantiomeric 6-epi-stephacidin A from the fungus Aspergillus amoenus: biogenetic implications. Organic letters 17: 700–703. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Katoh K, Standley DM. (2013). MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Molecular Biology and Evolution 30: 772–780. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kekkonen M, Hebert PD. (2014). DNA barcode-based delineation of putative species: efficient start for taxonomic workflows. Molecular Ecology Resources 14: 706–715. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Klich M. (1993). Morphological studies of Aspergillus section Versicolores and related species. Mycologia 85: 100–107. [Google Scholar]
- Klich M, Mullaney E, Daly C. (1993). Analysis of intraspecific and interspecific variability of three common species in Aspergillus section Versicolores using DNA restriction fragment length polymorphisms. Mycologia 85: 852–855. [Google Scholar]
- Kozakiewicz Z. (1989). Aspergillus species on stored products. Mycological Papers 161: 1–188. [Google Scholar]
- Kubatko LS, Degnan JH. (2007). Inconsistency of phylogenetic estimates from concatenated data under coalescence. Systematic Biology 56: 17–24. [DOI] [PubMed] [Google Scholar]
- Letunic I, Bork P. (2016). Interactive tree of life (iTOL) v3: an online tool for the display and annotation of phylogenetic and other trees. Nucleic Acids Research 44: W242–W245. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li YC, Wen J, Ren Y, et al. (2019). From seven to three: Integrative species delimitation supports major reduction in species number in Rhodiola section Trifida (Crassulaceae) on the Qinghai-Tibetan Plateau. Taxon 68: 268–279. [Google Scholar]
- Li Z-X, Wang X-F, Ren G-W, et al. (2018). Prenylated diphenyl ethers from the marine algal-derived endophytic fungus Aspergillus tennesseensis. Molecules 23: 2368. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu YJ, Whelen S, Hall BD. (1999). Phylogenetic relationships among ascomycetes: evidence from an RNA polymerse II subunit. Molecular Biology and Evolution 16: 1799–1808. [DOI] [PubMed] [Google Scholar]
- Magoga G, Fontaneto D, Montagna M. (2021). Factors affecting the efficiency of molecular species delimitation in a species-rich insect family. Molecular Ecology Resources 21: 1475–1489. [DOI] [PubMed] [Google Scholar]
- Mason NA, Fletcher NK, Gill BA, et al. (2020). Coalescent-based species delimitation is sensitive to geographic sampling and isolation by distance. Systematics and Biodiversity 18: 269–280. [Google Scholar]
- Micheluz A, Manente S, Tigini V, et al. (2015). The extreme environment of a library: Xerophilic fungi inhabiting indoor niches. International Biodeterioration & Biodegradation 99: 1–7. [Google Scholar]
- Minh BQ, Schmidt HA, Chernomor O, et al. (2020). IQ-TREE 2: new models and efficient methods for phylogenetic inference in the genomic era. Molecular Biology and Evolution 37: 1530–1534. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nguyen HT, Nguyen TD, Le TML, et al. (2021). Integrative taxonomy of Mesocriconema onoense (Tylenchida: Criconematidae) from Vietnam highly suggests the synonymization of Mesocriconema brevistylus and related species. Infection, Genetics and Evolution 95: 105090. [DOI] [PubMed] [Google Scholar]
- Nováková A, Hubka V, Saiz-Jimenez C, et al. (2012). Aspergillus baeticus sp. nov. and Aspergillus thesauricus sp. nov., two species in section Usti from Spanish caves. International Journal of Systematic and Evolutionary Microbiology 62: 2778–2785. [DOI] [PubMed] [Google Scholar]
- Nováková A, Hubka V, Valinová Š, et al. (2018). Cultivable microscopic fungi from an underground chemosynthesis-based ecosystem: a preliminary study. Folia Microbiologica 63: 43–55. [DOI] [PubMed] [Google Scholar]
- O’Donnell K, Cigelnik E. (1997). Two divergent intragenomic rDNA ITS2 types within a monophyletic lineage of the fungus Fusarium are nonorthologous. Molecular Phylogenetics and Evolution 7: 103–116. [DOI] [PubMed] [Google Scholar]
- Pante E, Puillandre N, Viricel A, et al. (2015). Species are hypotheses: avoid connectivity assessments based on pillars of sand. Molecular Ecology 24: 525–544. [DOI] [PubMed] [Google Scholar]
- Paradis E. (2010). pegas: an R package for population genetics with an integrated-modular approach. Bioinformatics 26: 419–420. [DOI] [PubMed] [Google Scholar]
- Parker E, Dornburg A, Struthers CD, et al. (2022). Phylogenomic species delimitation dramatically reduces species diversity in an Antarctic adaptive radiation. Systematic Biology 71: 58–77. [DOI] [PubMed] [Google Scholar]
- Peterson SW. (2008). Phylogenetic analysis of Aspergillus species using DNA sequences from four loci. Mycologia 100: 205–226. [DOI] [PubMed] [Google Scholar]
- Pitt JI, Hocking AD. (2009). Fungi and food spoilage. Springer, Dordrecht, Heidelberg, London, New York. [Google Scholar]
- Posada D. (2008). jModelTest: phylogenetic model averaging. Molecular Biology and Evolution 25: 1253–1256. [DOI] [PubMed] [Google Scholar]
- Puillandre N, Lambert A, Brouillet S, et al. (2012). ABGD, Automatic Barcode Gap Discovery for primary species delimitation. Molecular Ecology 21: 1864–1877. [DOI] [PubMed] [Google Scholar]
- R Core Team (2015). R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria. R Foundation for Statistical Computing, Vienna, Austria. [Google Scholar]
- Rank C, Nielsen KF, Larsen TO, et al. (2011). Distribution of sterigmatocystin in filamentous fungi. Fungal Biology 115: 406–420. [DOI] [PubMed] [Google Scholar]
- Raper KB, Fennell DI. (1965). The genus Aspergillus. Williams & Wilkins, Baltimore, MD. [Google Scholar]
- Reid NM, Carstens BC. (2012). Phylogenetic estimation error can decrease the accuracy of species delimitation: a Bayesian implementation of the general mixed Yule-coalescent model. BMC Evolutionary Biology 12: 196. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sakhri A, Chaouche NK, Catania MR, et al. (2019). Chemical composition of Aspergillus creber extract and evaluation of its antimicrobial and antioxidant activities. Polish Journal of Microbiology 68: 309. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Samson RA, Visagie CM, Houbraken J, et al. (2014). Phylogeny, identification and nomenclature of the genus Aspergillus. Studies in Mycology 78: 141–173. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Seo T-K. (2008). Calculating bootstrap probabilities of phylogeny using multilocus sequence data. Molecular Biology and Evolution 25: 960–971. [DOI] [PubMed] [Google Scholar]
- Shao J, Wang Q, Wei L, et al. (2022). Limitations of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry for the identification of Aspergillus species. Medical Mycology 60: myab084. [DOI] [PubMed] [Google Scholar]
- Shehata AN, Abd El Aty AA, Darwish DA, et al. (2018). Purification, physicochemical and thermodynamic studies of antifungal chitinase with production of bioactive chitosan-oligosaccharide from newly isolated Aspergillus griseoaurantiacus KX010988. International Journal of Biological Macromolecules 107: 990–999. [DOI] [PubMed] [Google Scholar]
- Schmitt I, Crespo A, Divakar P, et al. (2009). New primers for promising single-copy genes in fungal phylogenetics and systematics. Persoonia 23: 35–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schwab CJ, Straus DC. (2004). The roles of Penicillium and Aspergillus in sick building syndrome. Advances in Applied Microbiology 55: 215–238. [DOI] [PubMed] [Google Scholar]
- Siqueira JPZ, Sutton DA, García D, et al. (2016). Species diversity of Aspergillus section Versicolores in clinical samples and antifungal susceptibility. Fungal Biology 120: 1458–1467. [DOI] [PubMed] [Google Scholar]
- Sklenář F, Jurjević Ž, Houbraken J, et al. (2021). Re-examination of species limits in Aspergillus section Flavipedes using advanced species delimitation methods and description of four new species. Studies in Mycology 99: 100120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sklenář F, Jurjević Ž, Peterson SW, et al. (2020). Increasing the species diversity in the Aspergillus section Nidulantes: Six novel species mainly from the indoor environment. Mycologia 112: 342–370. [DOI] [PubMed] [Google Scholar]
- Sklenář F, Jurjević Ž, Zalar P, et al. (2017). Phylogeny of xerophilic aspergilli (subgenus Aspergillus) and taxonomic revision of section Restricti. Studies in Mycology 88: 161–236. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Struck TH, Feder JL, Bendiksby M, et al. (2018). Finding evolutionary processes hidden in cryptic species. Trends in Ecology & Evolution 33: 153–163. [DOI] [PubMed] [Google Scholar]
- Sukumaran J, Holder MT, Knowles LL. (2021). Incorporating the speciation process into species delimitation. PLoS Computational Biology 17: e1008924. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sukumaran J, Knowles LL. (2017). Multispecies coalescent delimits structure, not species. Proceedings of the National Academy of Sciences of the United States of America 114: 1607–1611. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Swain SK, Debta P, Sahu MC, et al. (2020). Otomycosis due to Aspergillus versicolor. International Journal of Health & Allied Sciences 9: 192. [Google Scholar]
- Thom C, Church MB. (1926). The Aspergilli. Williams & Wilkins, Baltimore, MD. [Google Scholar]
- Thom C, Raper KB. (1945). A manual of the Aspergilli. Williams & Wilkins, Maryland, MD. [Google Scholar]
- Tsang C-C, Hui TWS, Lee K-C, et al. (2016). Genetic diversity of Aspergillus species isolated from onychomycosis and Aspergillus hongkongensis sp. nov., with implications to antifungal susceptibility testing. Diagnostic Microbiology and Infectious Disease 84: 125–134. [DOI] [PubMed] [Google Scholar]
- Turland NJ, Wiersema JH, Barrie FR, et al. (2018). International Code of Nomenclature for algae, fungi, and plants (Shenzhen Code) adopted by the Nineteenth International Botanical Congress Shenzhen, China, July 2017. Koeltz Botanical Books, Glashütten. [Google Scholar]
- van Rossum G, Drake FL. (2019). Python language reference, version 3. Python Software Foundation. [Google Scholar]
- Venables WN, Ripley BD. (2002). Modern applied statistics with S. Fourth edition. Springer, New York. [Google Scholar]
- Veršilovskis A, De Saeger S. (2010). Sterigmatocystin: occurrence in foodstuffs and analytical methods–an overview. Molecular Nutrition & Food Research 54: 136–147. [DOI] [PubMed] [Google Scholar]
- Vidal-Acuña MR, Ruiz-Pérez de Pipaón M, Torres-Sánchez MJ, et al. (2018). Identification of clinical isolates of Aspergillus, including cryptic species, by matrix assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS). Medical Mycology 56: 838–846. [DOI] [PubMed] [Google Scholar]
- Visagie CM, Hirooka Y, Tanney JB, et al. (2014). Aspergillus, Penicillium and Talaromyces isolated from house dust samples collected around the world. Studies in Mycology 78: 63–139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang PM, Liu XB, Dai YC, et al. (2018). Phylogeny and species delimitation of Flammulina: taxonomic status of winter mushroom in East Asia and a new European species identified using an integrated approach. Mycological Progress 17: 1013–1030. [Google Scholar]
- Wang X-C, Zhuang WY. (2022). New species of Aspergillus (Aspergillaceae) from tropical islands of China. Journal of Fungi 8: 225. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wickham H. (2016). ggplot2: elegant graphics for data analysis. Springer-Verlag, New York. [Google Scholar]
- Yang Z. (2015). The BPP program for species tree estimation and species delimitation. Current Zoology 61: 854–865. [Google Scholar]
- Zahradnik E, Kespohl S, Sander I, et al. (2013). A new immunoassay to quantify fungal antigens from the indoor mould Aspergillus versicolor. Environmental Science: Processes & Impacts 15: 1162–1171. [DOI] [PubMed] [Google Scholar]
- Zhang J, Kapli P, Pavlidis P, et al. (2013). A general species delimitation method with applications to phylogenetic placements. Bioinformatics 29: 2869–2876. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Phylogenetic tree based on 48 ITS sequences of series Versicolores strains available from the NCBI GenBank database (Table 1). The tree was calculated in IQ-TREE v. 2.1.2 with 100 000 ultrafast bootstrap replicates (only support values higher than 70 % are shown). TrNef was selected as the most suitable model of evolution by jModelTest v 2.1.7. The ex-type strains are designated with a superscript T.
Strains from Aspergillus series Versicolores used for calculation of phylogenetic tree based on the partial calmodulin sequences (Fig. 1).
Growth rates of selected strains on eight cultivation media after 14 d in mm (average values from at least three measurements).
Production of Hülle cells on eight cultivation media after 3 wk of cultivation at 25 °C in the dark.
Maximum sequence dissimilarity between isolates of the same Aspergillus species whose species limits have been delimited using methods based on multispecies coalescent model; only species represented by isolates from at least three countries were included.


















