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. 2021 Sep 10;10(9):1167. doi: 10.3390/pathogens10091167

Cryptic Diversity in Cladosporium cladosporioides Resulting from Sequence-Based Species Delimitation Analyses

Andrea Becchimanzi 1, Beata Zimowska 2,*, Rosario Nicoletti 1,3
Editor: Nemat O Keyhani
PMCID: PMC8472012  PMID: 34578199

Abstract

Cladosporium cladosporioides is an extremely widespread fungus involved in associations ranging from mutualistic to pathogenic and is the most frequently represented Cladosporium species in sequence databases, such as Genbank. The taxonomy of Cladosporium species, currently based on the integration of molecular data with morphological and cultural characters, is in frequent need of revision. Hence, the recently developed species delimitation methods can be helpful to explore cryptic diversity in this genus. Considering a previous study that reported several hypothetical species within C. cladosporioides, we tested four methods of species delimitation using the combined DNA barcodes internal transcribed spacers, translation elongation factor 1-α and actin 1. The analyses involved 105 isolates, revealing that currently available sequences of C. cladosporioides in GenBank actually represent more than one species. Moreover, we found that eight isolates from this set should be ascribed to Cladosporium anthropophilum. Our results revealed a certain degree of discordance among species delimitation methods, which can be efficiently treated using conservative approaches in order to minimize the risk of considering false positives.

Keywords: Cladosporium, cryptic species, phylogenetic analysis, species delimitation methods, taxonomic markers

1. Introduction

Fungi belonging to the genus Cladosporium (Dothideomycetes, Cladosporiaceae) are ubiquitous in connection with their ability to colonize any kind of organic substrate in both terrestrial and marine environments [1]. With their branched chains of small conidia, which are easily spread over long distances, Cladosporium species represent the most common fungi isolated from the air [2]. Other species are pathogenic to plants and animals, hyperparasites of other fungi, or common epiphytes and endophytes [2,3,4]. Their environmental plasticity and capacity to establish successful biocenotic interactions are also supported by peculiar biosynthetic capacities, which also make these fungi an interesting source of novel bioactive compounds [5].

The taxonomy of Cladosporium is constantly evolving after recent revisions have pointed out that morphological characters need to be integrated with molecular and ecological data in the attempt to go further into the typification of the many cryptic species which have recently been identified [1,6,7,8,9]. More than 230 species are currently recognized in this genus, which is subdivided into three main species complexes: C. cladosporioides, C. herbarum and C. sphaerospermum [6]. The assignment of Cladosporium isolates to one of these major species complexes is usually based on morphology or internal transcribed spacers (ITS) sequence analysis [4]. However, phylogenetic reconstructions carried out by using other molecular markers, such as translation elongation factor 1-α (tef1) and actin 1 (act), have revealed the species limits of Cladosporium and improved the understanding of the hidden diversity within this genus [3,10].

In Cladosporium, limited insights have been done through DNA-based species delimitation methods, although these tools are recommended as part of an integrative approach to establish well-supported boundaries among fungal species [9,11]. These methods use distinct strategies, including genetic distance and coalescence [9], and are increasingly employed in fungal taxonomy [12,13,14].

We recently examined a set of Cladosporium isolates associated with galled and non-galled flowers of several plants belonging to the Lamiaceae and found it to consist in an assortment of at least 10 species within the C. cladosporioides and C. herbarum species complexes [15]. Two novel species belonging to the first taxonomic group were described, and the existence of a wide genetic variation was observed among the isolates ascribed to the species C. pseudocladosporioides and C. cladosporioides. In particular, the use of two species delimitation methods indicated the possible existence of additional species to be identified within the latter. Defined as the founder of the homonymous species complex, C. cladosporioides is extremely widespread in both terrestrial and marine environments where it is found as a symbiont of many plants and animals in associations ranging from mutualistic to pathogenic [1,16]. It also represents the most common Cladosporium species according to the literature and the number of strains having their DNA sequences deposited in GenBank. Based on the provisional evidence resulting in our previous study [15], we decided to more accurately investigate the phylogenetic relationships among the strains of C. cladosporioides that have so far been genetically characterized through the deposit in GenBank of sequences of the taxonomic markers ITS, tef1 and act, which are required for molecular delimitation at species level by multilocus approach [2].

We performed phylogenetic and species delimitation analyses aimed at exploring the cryptic diversity of C. cladosporioides. In the course of these analyses, we also assessed intron presence/absence in tef1 sequences, which is considered a feature of phylogenetic importance and often reported as lineage-specific [17]. We analyzed our dataset through different species delimitation methods and placed our trust in delimitations that are congruent across methods. One sequence-based and three tree-based methods were employed that are among the most popular approaches for species delimitation based on sequence data and are frequently used in studies on fungal diversity [12,13,14,18]: the automatic barcode gap discovery (ABGD) [19], the general mixed Yule-coalescent (GMYC) model [20,21], the Poisson Tree Processes (PTP) [22] and its multi-rate extension (mPTP) [23].

ABGD is a sequence-based method that sorts the sequences into hypothetical species based on the barcode gap, which can be observed whenever intra-specific is smaller than inter-specific divergence [19]. This is a fast method to split a sequence alignment dataset into candidate species, but its output should be interpreted by complementation with other methods [19]. The GMYC model uses maximum likelihood and an ultrametric gene tree to model the transition between inter- and intraspecific branching patterns [21]. Indeed, this method is based on the prediction that independent evolution leads to the appearance of distinct genetic clusters, separated by longer internal branches in a gene tree [20]. Likewise, PTP tries to determine the transition point from a between- to a within-species process using a two-parameter model, one for the speciation and one for the coalescent process [22]. In contrast to GMYC, PTP estimates branching processes using the expected number of substitutions (vs. time in GMYC) and thus exploits a non-ultrametric phylogenetic tree as input [23]. PTP assumes that every species evolved with the same rate in phylogeny; however, this generally disregards the stochastic variation among species due to different population sizes and demographic histories. Conversely, the recently developed mPTP fits the branching events of each delimited species to a distinct exponential distribution to account for differences in sampling intensity [23].

To our knowledge, this is the first study that evaluates the performance of several species delimitation methods in Cladosporium and provides a useful framework for combining different analyses aimed at identifying cryptic diversity in fungi.

2. Results

2.1. Phylogenetic Analysis

Overall, our analysis included 127 strains (105 of which are reported as C. cladosporioides) and was based on a nucleotide set of ~1400 bp (~690 bp for ITS, ~490 bp for tef1 and ~220 bp for act) (Table 1 and Table 2). The resulting alignment revealed the presence of a ~60 bp intron in the tef1 sequence. These isolates formed seven groups with high ML/MP bootstrap support values (82–100), with the majority of them clustering into groups from A to E (Figure 1).

Table 1.

A list of Cladosporium cladosporioides isolates that have a complete set of DNA barcode sequences deposited in GenBank.

Code Source Country ITS tef1 act
AcAv4 larva of Asphondylia nepetae Italy MK387888 MK416092 MK416049
AcMt6 larva of Asphondylia nepetae Italy MK387883 MK416087 MK416044
AcNa1 gall on Clinopodium nepeta Italy MK387881 MK416085 MK416042
AcPp2 Clinopodium nepeta, receptacle Italy MK387885 MK416089 MK416046
AcRi7 Clinopodium nepeta, receptacle Italy MK387886 MK416090 MK416047
AjNa1 Ajuga reptans, receptacle Italy MK387884 MK416088 MK416045
C11G rice leaf Brazil MK049921 MK073937 MK073928
C130102 Fragaria x ananassa Korea KJ558398 KJ558400 KJ558395
C130110 Fragaria x ananassa Korea KJ558397 KJ558399 KJ558394
C18Pa rice leaf Brazil MK049923 MK073939 MK073930
C19G rice leaf Brazil MK049924 MK073940 MK073931
C1H rice leaf Brazil MK049917 MK073933 MK073924
C24G rice leaf Brazil MK049925 MK073941 MK073932
C5G rice leaf Brazil MK049919 MK073935 MK073926
CBS 101367 soil Brazil HM148002 HM148243 HM148489
CBS 112388 indoor air Germany HM148003 HM148244 HM148490
CBS 113738 grape bud USA HM148004 HM148245 HM148491
CBS 113739 crested wheat grass USA HM148005 HM148246 HM148492
CBS 113740 berry USA HM148006 HM148247 HM148493
CBS 126341 spinach seed USA HM148009 HM148250 HM148496
CBS 143.35 Pisum sativum South Africa HM148011 HM148252 HM148498
CBS 144.35 Pisum sativum USA HM148012 HM148253 HM148499
CBS 145.35 Pisum sativum Germany HM148013 HM148254 HM148500
CBS 674.82 cotton seed Israel HM148014 HM148255 HM148501
CDA1 Phragmidium griseum Korea MG451052 MG451058 MG451055
CDA2 Gymnosporangium haraeanum Korea MG451053 MG451059 MG451056
CDA3 Gymnosporangium haraeanum Korea MG451054 MG451060 MG451057
CMG 43 Fucus spiralis Portugal MN053016 MN066642 MN066637
COAD 2491 leaf litter Brazil MK253342 MK293782 MK249985
COAD 2492 leaf litter Brazil MK253343 MK293783 MK249986
CPC 10142 Chenopodium ficifolium Korea HM148015 HM148256 HM148502
CPC 11120 Viola mandshurica Korea HM148017 HM148258 HM148504
CPC 11121 Celosia cristata Korea HM148018 HM148259 HM148505
CPC 11161 Eucalyptus sp. India HM148022 HM148263 HM148509
CPC 11363 Valeriana fauriei Korea HM148023 HM148264 HM148510
CPC 11398 rust (Phragmidium griseum) Korea HM148024 HM148265 HM148511
CPC 11404 Rubus coreanus Korea HM148025 HM148266 HM148512
CPC 12187 Myosoton aquaticum, leaf Korea HM148027 HM148268 HM148514
CPC 12214 Morus rubra, leaf Germany HM148028 HM148269 HM148515
CPC 12760 Spinacia oleracea, seed USA HM148029 HM148270 HM148516
CPC 12762 Spinacia oleracea, seed USA HM148030 HM148271 HM148517
CPC 12764 Spinacia oleracea, seed USA HM148031 HM148272 HM148518
CPC 13667 Eucalyptus robertsonii Australia HM148034 HM148275 HM148521
CPC 13669 Eucalyptus robertsonii Australia HM148035 HM148276 HM148522
CPC 14015 wheat South Africa HM148038 HM148279 HM148525
CPC 14017 wheat South Africa HM148039 HM148280 HM148526
CPC 14018 wheat South Africa HM148040 HM148281 HM148527
CPC 14019 wheat South Africa HM148041 HM148282 HM148528
CPC 14021 wheat South Africa HM148042 HM148283 HM148529
CPC 14024 pawpaw South Africa HM148043 HM148284 HM148530
CPC 14244 Magnolia sp. USA HM148044 HM148285 HM148531
CPC 14271 twig of unidentified tree France HM148045 HM148286 HM148532
CPC 14271 unidentified tree France HM148045 HM148286 HM148532
CPC 14292 soil Denmark HM148046 HM148287 HM148533
CPC 14293 cellulose powder Denmark HM148047 HM148288 HM148534
CPC 14355 mouldy pea USA HM148048 HM148289 HM148535
CPC 15167 mite in strawberry leaf Slovenia HM148052 HM148293 HM148539
CPC 15610 Rumex sp. Mexico KT600385 KT600482 KT600580
CPC 15615 wild tree Mexico KT600386 KT600483 KT600581
CPC 15626 wild plant Mexico KT600387 KT600484 KT600582
CPC 18138 pine needles Mexico KT600388 KT600485 KT600583
CPC 18230 bract of Phaenocoma prolifera South Africa JF499834 JF499872 JF499878
CPC 22264 indoor air sample USA MF472936 MF473363 MF473786
CPC 22265 indoor air sample USA MF472937 MF473364 MF473787
CPC 22347 indoor air sample USA MF472938 MF473365 MF473788
CPC 22348 indoor air sample USA MF472939 MF473366 MF473789
CPC 22365 indoor air sample USA MF472940 MF473367 MF473790
CPC 22367 indoor air USA MF472941 MF473368 MF473791
CPC 22380 indoor air sample USA MF472942 MF473369 MF473792
CRM-AF2 Vaccinium corymbosum, fruit Mexico MN857901 MN865110 MN865115
CRM-FF284 Rubus idaeus, fruit Mexico MN857899 MN865108 MN865113
CRM-FR283 Fragaria x ananassa, fruit Mexico MN857900 MN865109 MN865114
DTO 039-G6 indoor air sample Germany KP701868 KP701745 KP701991
DTO 071-G1 indoor air sample Greece KP701872 KP701749 KP701995
DTO 082-F1 indoor air sample The Netherlands KP701879 KP701756 KP702002
DTO 090-C6 archive The Netherlands KP701898 KP701775 KP702021
DTO 101-G2 table Hungary MF472943 MF473370 MF473793
DTO 101-H7 floor Hungary MF472944 MF473371 MF473794
DTO 102-A4 bathroom Hungary KP701905 KP701782 KP702028
DTO 109-I4 indoor environment Denmark KP701920 KP701797 KP702043
DTO 109-I6 indoor environment Denmark KP701922 KP701799 KP702045
DTO 127-D8 indoor air sample The Netherlands KP701933 KP701810 KP702055
DTO 147-A9 indoor environment Hungary KP701941 KP701818 KP702063
GL0839 apple China JX241647 JX241672 JX241674
GZYQ-08-01 Camellia sinensis, leaf China MK852271 MK852273 MK852272
GZYQ2018YQX81c Camellia sinensis, leaf China MK799636 MK799638 MK799637
KUC1384 Korean pine Korea JN033485 JN033540 JN033512
KUC1385 Korean pine Korea JN033484 JN033539 JN033511
KUC1420 Japanese red pine lumber Korea JN033483 JN033538 JN033510
KUC1516 Korean pine lumber Korea JN033479 JN033534 JN033506
KUC1545 Korean pine lumber Korea JN033478 JN033533 JN033505
KUC1580 larch Korea JN033477 JN033532 JN033504
KUC1699 Japanese red pine Korea JN033473 JN033528 JN033500
KUC1701 Japanese red pine Korea JN033471 JN033526 JN033498
KUC3006 radiata pine wood Korea JN033465 JN033520 JN033492
KUC3076 larch wood Korea JN033463 JN033518 JN033490
MfCa2 gall on Micromeria fruticulosa Italy MK387882 MK416086 MK416043
MFLUCC 17 0144 Vitis vinifera China MG938710 MG938823 MG938675
MFLUCC 17 0156 Vitis vinifera China MG938711 MG938824 MG938676
MFLUCC 17 0196 Vitis vinifera China MG938712 MG938825 MG938677
MgVi2 larva of Asphondylia sp. Italy MK387887 MK416091 MK416048
Pelotas1 Alstroemeria hybrida Brazil MG775703 MG775038 MG775039
Th/S345 Thymus vulgaris, achene Poland MK387889 MK416093 MK416050
UTHSC DI-13-204 abdomen USA LN834358 LN834454 LN834542
UTHSC DI-13-209 pleura USA LN834359 LN834455 LN834543
UTHSC DI-13-215 sputum USA LN834360 LN834456 LN834544

Ex-type from neotype of C. cladosporioides.

Table 2.

A list of 22 isolates of Cladosporium species used in the phylogenetic and species delimitation analyses.

Species Code Source ITS tef1 act
C. angustisporum CBS 125983 Alloxylon wickhamii HM147995 HM148236 HM148482
C. angustisporum DTO-127-E6 air in bakery KP701935 KP701812 KP702057
C. anthropophilum CBS 117483 - HM148007 HM148248 HM148494
C. anthropophilum CPC 22393 indoor air MF472922 MF473349 MF473772
C. colocasiae CBS 386.64 Colocasia esculenta HM148067 HM148310 HM148555
C. colocasiae CBS 119542 Colocasia esculenta HM148066 HM148309 HM148554
C. cucumerinum CBS 174.62 painted floor HM148076 HM148320 HM148565
C. cucumerinum CBS 174.54 Cucumis sativus HM148075 HM148319 HM148564
C. hillianum CBS 125988 leaf of Typha orientalis HM148097 HM148341 HM148586
C. neapolitanum MgPo1 Micromeria graeca-receptacle MK387890 MK416094 MK416051
C. neapolitanum MgVi3 Micromeria graeca-receptacle MK387892 MK416096 MK416053
C. oxysporum CBS 125991 soil HM148118 HM148362 HM148607
C. oxysporum CBS 126351 indoor air HM148119 HM148363 HM148608
C. rectoides CBS 125994 Vitis flexuosa HM148193 HM148438 HM148683
C. rectoides CBS 126357 Plectranthus sp. MH863933 HM148439 HM148684
C. subuliforme CBS 126500 Chamaedorea metallica HM148196 HM148441 HM148686
C. subuliforme DTO-130-H8 indoor environment KP701938 KP701815 KP702060
C. tenuissimum XCSY3 Coriandrum sativum MG873079 MT154184 MT154174
C. tenuissimum CBS 125995 Lagerstroemia sp. HM148197 HM148442 HM148687
C. vignae CBS 121.25 Vigna unguiculata HM148227 HM148473 HM148718
C. xylophilum CBS 125997 dead wood of Picea abies HM148230 HM148476 HM148721
C. xylophilum CBS 113749 Prunus avium HM148228 HM148474 HM148719

Figure 1.

Figure 1

Phylogenetic tree based on maximum likelihood (ML) analysis of combined ITS, tef1 and act sequences of 123 strains from the C. cladosporioides complex. Bootstrap support values ≥60% for ML and maximum parsimony (MP) are presented above branches as follows: ML/MP; bootstrap values <60% are marked with ‘-’. C. hillianum CBS 12598 was used as an outgroup reference. Highly supported groups are indicated by letters A, B, C, D, E, F and G. Stars indicate the presence of a 60 bp intron in tef1 sequence. The scale bar indicates the number of nucleotide substitutions per site.

Group A is the largest group, made of 37 isolates, including the neotype CBS 112388 and other strains usually employed as references for this species in phylogenetic studies, besides miscellaneous isolates from diverse locations (Brazil, Europe, Australia, USA and China) and sources (indoor environment, plants and human tissues). Groups B, C, D and E are closely related to group A but do not include any reference strain. Group B is formed by 14 isolates with different origins (algae from Portugal, rice leaf from Brazil, fruits from South Africa, etc.). Notably, only four of these haplotypes present introns in the tef1 sequence. In group C, there are seven isolates from plants of Korea and India. Isolates in group D have been collected from different geographical and ecological sources (indoor air from the USA, wheat from South Africa, fruits from Mexico, cecidomyid galls from Italy, etc.). Interestingly, 16 out of 26 isolates in this group contain introns in the tef1 sequence (Figure 1). Group E is clearly divergent from the previous groups and only includes two isolates: AjNa1 from the flower of Ajuga reptans in Italy, which was obtained in our previous work [15], and CPC 15626 from an unspecified ‘wild’ plant in Mexico. Seven out of eight isolates in group F were recovered from conipherous plants in Korea, while one (CBS 674.82) was obtained from cotton seeds in Israel. These isolates cluster together with representatives of the recently described C. anthropophilum [22]. Finally, group G is formed of two isolates from leaves of Camellia sinensis collected in southwest China and six isolates from Korea associated with several plants and with the Japanese pear rust (Gymnosporangium asiaticum, current name of G. haraeanum). Notably, the phylogram shows that the latter two groups are less closely related to C. cladosporioides than to the other species included in the analysis, namely C. tenuissimum, C. colocasiae, C. oxysporum, C. vignae, C. angustisporum, C. subuliforme and C. cucumerinum.

2.2. Species Delimitation Analyses

The same aligned dataset was analyzed using four different species delimitation methods. mPTP was the most conservative method, inferring only four species within C. cladosporioides (groups A to E, F and G; Figure 2). ABGD was the second most conservative method, identifying five species, while GMYC and PTP respectively detected 11 and 12 species within C. cladosporioides.

Figure 2.

Figure 2

Ultrametric tree phylogeny of C. cladosporioides showing the results of the sequence-based species delimitation methods. The tree is the result of a Bayesian analysis performed in BEAST on the concatenated ITS, tef1, act dataset. For each node, posterior probabilities (if >0.90) are presented above the branch leading to that node. Results of species delimitation analyses are represented by colored boxes to the right. Main groups identified by phylogenetic reconstruction are indicated by letters A, B, C, D, E, F and G. The scale bar represents the substitutions per site according to the model of sequence evolution applied. Different colors indicate the different methods used.

The tested species delimitation methods correctly identified known species, except for mPTP, which failed to discriminate among C. tenuissimum, C. colocasiae, C. oxysporum, C. vignae, C. angustisporum, C. subuliforme and C. cucumerinum, as well as among C. xylophilum, C. neapolitanum and C. rectoides (Figure 2). The consensus among the remaining methods is high in the lower-middle part of the tree, where group F (C. anthropophilum), group G and the isolate CPC 10142 are indicated as different species (Figure 2). Moreover, isolates AjNa1 and CPC 15626 (group E) are indicated as a single species by ABGD and GMYC, two different species by PTP and grouped together with groups A−D by mPTP. In the upper part of the tree, the methods are discordant, indicating 1 to 7 species for groups A to D, which were pointed out by our phylogenetic reconstruction (Figure 2). The results are very similar between ABGD and mPTP, indicating one species, as well as between GMYC and PTP, which indicated seven species, including the groups A−D (Figure 2).

Overall, the congruence of methods was highest between GMYC and PTP (Ctax = 0.87). The lowest congruence of methods was observed between GMYC and mPTP (Ctax = 0.27) and between PTP and mPTP (Ctax = 0.28). Notably, GMYC has the highest mean index of congruence (Ctax = 0.62), while mPTP has the lowest mean (0.32) (Table 3).

Table 3.

Taxonomic index of congruence (Ctax) for every species delimitation method.

Method C tax Mean Ctax
ABGD GMYC PTP mPTP
ABGD - - - - 0.60
GMYC 0.71 - - - 0.62
PTP 0.68 0.87 - - 0.60
mPTP 0.40 0.28 0.27 - 0.32

Ctax index is a measure of congruence in species assignments among two methods, with a value of 1 indicating complete congruence.

3. Discussion

In this study, we explored cryptic diversity among C. cladosporioides strains for which ITS, tef1 and act sequences are available in GenBank (last accessed in May 2021), combining phylogenetic and species delimitation analyses. As shown by the phylogenetic tree, the combination of the above-mentioned loci is reliable to distinguish the currently accepted species and indicates with bootstrap support that the isolates recorded in GenBank as C. cladosporioides from seven discrete groups.

Apical groups (A to E) are more closely related to reference strains of C. cladosporioides, while basal groups (F and G) are less closely related to C. cladosporioides than to C. tenuissimum, C. colocasiae, C. oxysporum, C. vignae, C. angustisporum, C. subuliforme and C. cucumerinum, suggesting compromised taxonomic annotations. Indeed, group F includes two strains of C. anthropophilum and is consistently reported as a different species by all tested species delimitation methods, as well as group G. The presence in public repositories of mismatches between gene sequences and the species names assigned to the isolates from which they were obtained is frequently reported [24,25] and represents a source of potentially propagating errors [26]. Moreover, the development of new species delimitation methods and the fast growth of the number of described species require more efforts for maintaining and updating public databases [27]. As an example, sequences of CBS 674.82 were uploaded in GenBank in 2010 after it was identified as C. cladosporioides [3], while C. anthropophilum was described for the first time only in 2016 [4].

Our phylogenetic reconstruction pointed out that no clear association can be inferred between plant species, or geographic areas, and group compositions. However, we observed a certain correspondence concerning intron presence in tef1 locus in groups B (28.5% of the isolates) and D (61.5% of the isolates), although the presence/absence of the introns in the partial tef1 does not follow the geographical distribution of isolates in contrast to a recently published study on the halotolerant fungus Hortaea werneckii [28].

The ultrametric tree obtained through the Bayesian approach shows a highly similar topology to the one depicted by the ML tree, confirming the existence of the same seven groups (A−G). Notably, both tree- (GMYC, PTP) and sequence-based (ABGD) methods are able to correctly distinguish the currently accepted species, also in a context of uneven sampling (i.e., isolates per species ranging from 1 to 105). Surprisingly, the multi-rate extension of PTP (mPTP) cannot discriminate among known species revealing an exaggerated lumping tendency in our conditions. Indeed, this method greatly differs from the others in terms of mean values of the Ctax index, which is a measure of reciprocal congruence between methods, revealing poor delimitation performance for the considered species. These findings are in line with a previous work that suggested that the mPTP method is more conservative than GMYC [25]. Species delimitation analysis unequivocally ascribes groups F and G, as well as the singleton CPC 10142, to different species, with a 100% consensus among methods. In particular, isolates in group F are to be ascribed to C. anthropophilum, while isolates in group G clearly represent an unknown species. To assess if isolates of group G could eventually be ascribed to a species that is not included in our tree, their sequences of all the tested loci were blasted against GenBank nr database, obtaining only C. cladosporiodes and C. anthropophilum as matches. Hence, considering the output of our species delimitation analyses, these isolates cannot be ascribed to any already described species.

Only a partial match of methods is observed for group E (isolates AjNa1 and CPC 15626). mPTP indicates this group as a single species together with groups A to D; conversely, GMYC and ABGD suggest that group E represents a different species, while PTP identified two separate species. This group is placed at the boundary of C. cladosporioides, as already observed [15], and represents a potential cryptic taxon worth further studies.

A certain discordance among methods is reported for groups A to D. For these groups, the most conservative methods (ABGD and mPTP) indicate one species, while GMYC and PTP indicate seven species. These results are in line with many studies reporting the tendency of ABGD and mPTP to collapse multiple taxa into one [29,30], as well as the tendency of GMYC and PTP to split [23,31].

How can we manage such discordance? Many authors suggest that a conservative approach is preferable to minimize the risk of oversplitting (i.e., the inclusion of false positives) and, thus, delimiting entities that do not represent actual evolutionary lineages [11,32,33]. Other authors suggest the inclusion of an allopatry/sympatry evaluation in order to assess reproductive barriers in a population [34]. However, applying these criteria to fungi can be problematic (e.g., parasites specialized on different sympatric hosts are sometimes considered allopatric) and requires further investigations [35].

Considering that such a high number of species identified by PTP and GMYC is likely the result of the tendency of these approaches to overestimate the number of species, we adopted a conservative strategy consisting of classifying putative species as the most comprehensive groups of isolates predicted by any of the four delimitation methods. Overall, excluding group F, which is ascribed to C. anthropophilum, our species delimitation analysis indicates that, following a conservative approach, C. cladosporioides isolates available in GenBank have to be grouped at least in two species.

4. Materials and Methods

4.1. Phylogenetic Analysis

We selected 105 isolates from GenBank reported as C. cladosporioides (Table 1) and 22 isolates ascribed to the 11 most closely related species (C. neapolitanum, C. rectoides, C. xylophilum, C. tenuissimum, C. colocasiae, C. oxysporum, C. vignae, C. angustisporum, C. anthropophilum, C. subuliforme and C. cucumerinum) and to C. hillianum, which was used as the outgroup (Table 2). These species were included in order (1) to provide the taxonomic assignment for C. cladosporioides isolates in the GenBank database and (2) to better fit in the context of species delimitation methods (such as the general mixed Yule-coalescent model), which can be destabilized when less than 5 species are included in the analysis [31].

The combined ITS, tef1 and act sequences were aligned by using Muscle [36] and manually adjusted with AliView software version 1.27 [37], where necessary. The aligned sequences were manually checked in order to identify introns, which are frequent in tef1 [17] and are characterized by the presence of GT-AG nucleotides (5′-3′). Gaps were treated as missing characters. The phylogenetic analyses were carried out in conformity with recent protocols [8,38]. The best nucleotide substitution model (generalized time-reversible model with gamma distribution and a portion of invariable sites (GTR + G + I) for the three independent data sets) was estimated using jModelTest version 2.3 [39] following the Akaike criterion. Phylogenetic analyses of the concatenated sequence data for maximum likelihood (ML) were performed by using RAxML software version 8.2.12 [40] with the GTR + G + I model of nucleotide substitution and 1000 bootstrap replications. Concatenated sequences were also analyzed for maximum parsimony (MP) by using PAUP, under the heuristic search parameters with tree bisection reconnection branch swapping, 100 random sequence additions, maxtrees set up to 1000 and 1000 bootstrap. Bayesian analyses were done with a Markov chain Monte Carlo (MCMC) coalescent approach implemented in BEAST v.2.0.2 [41], using the uncorrelated lognormal relaxed clock, the GTR + G + I model, and a coalescent tree prior. Bayesian MCMC was run for 50 million generations, and trees and parameters were sampled every 1000 generations. The resulting log files were entered in Tracer v1.6.0 to check trace plots for convergence and effective sample size (ESS). Burn-in was adjusted to achieve ESS values of ≥200 for the majority of the sampled parameters. While removing a portion of each run as burn-in, log files and trees files were combined in LogCombiner. TreeAnnotator was used to generate consensus trees with 25% burn-in and to infer the maximum clade credibility tree, with the highest product of individual clade posterior probabilities. Phylogenetic trees were drawn by using FigTree software (tree.bio.ed.ac.uk/software/figtree/, accessed on 12 November 2020).

4.2. Species Delimitation Analysis

The ABGD method was tested through a web interface (abgd web, bioinfo.mnhn.fr/abi/public/abgd/abgdweb.html, accessed on 10 May 2021). Before analysis, the model criteria were set as follows: variability (P) between 0.001 (Pmin) and 0.1 (Pmax), minimum gap width (×) of 0.1, Kimura-2-parameters and 50 screening steps. To perform the GMYC delimitation method, an ultrametric tree was constructed in BEAST 2, as described above. After removing 25% of the trees as burn-in, the remaining trees were used to generate a single summarized tree in TreeAnnotator v.2.0.2 (part of the BEAST v.2.0.2 package) as an input file for GMYC analyses. The GMYC analyses with a single threshold model were performed in R (R Development Core Team, www.R-project.org, accessed on 12 May 2021) under the “splits” package using the “gmyc” function (R-Forge, r-forge.r-project.org/projects/splits/, accessed on 9 May 2021). The PTP analysis was carried out with the web service available at http://mPTP.h-its.org (accessed on May 2021) under maximum-likelihood estimations, using both PTP (i.e., using the -single ML option) and mPTP (i.e., using the -multi ML option) model. For PTP/mPTP, we used as input the tree produced with RAxML, as described above, and default settings. Finally, we quantified the performance of methods using the Taxonomic Index of Congruence (Ctax) [42]. The Ctax index is a measure of congruence in species assignments among two methods, with a value of 1 indicating complete congruence. Ctax metrics were calculated as follows:

Ctax(AB)=n (A  B)n (A  B)

where AB represents the number of speciation events shared by methods A and B, and AB represents the total number of speciation events inferred by method A and/or B [43].

5. Conclusions

Concordance among our results suggests that several strains of C. cladosporioides (group G), isolated in Korea and China, represent a new putative species that requires morphological characterization prior to formal taxonomic changes. A certain degree of cryptic diversity was observed for group E (isolates AjNa1 and CPC 15626); however, following our conservative approach, this two-membered group cannot be ascribed to a new species without additional molecular, morphological and ecological characterization. Combining in a single analysis several criteria of species delimitation likely brings out discordance among methods, which can be efficiently treated using conservative approaches in order to minimize the risk of considering false positives. Such a promising strategy represents a precious tool for elucidating diversity in directly collected specimens, as well as in public repositories of molecular data.

Moreover, we reported an erroneous taxonomic annotation in GenBank for isolates in group F, which should be ascribed to C. anthropophilum according to the current taxonomic arrangement. Indeed, data recorded in GenBank require careful examination before being used for taxonomic purposes. Nevertheless, public repositories represent a fundamental resource for studying cryptic diversity using molecular data, which can be viewed as a first step for delineating new taxonomic entities in the highly diverse realm of fungi.

Acknowledgments

The contribution by Francesco Pennacchio (Department of Agricultural Sciences, University of Naples Federico II) in the final revision is gratefully acknowledged.

Author Contributions

Conceptualization, B.Z. and R.N.; methodology, A.B.; software, A.B.; formal analysis, A.B.; resources, A.B. and B.Z.; data curation, A.B. and R.N.; writing—original draft preparation, A.B. and R.N.; writing—review and editing, A.B., B.Z. and R.N.; funding acquisition, B.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are openly available in Zenodo at doi: 10.5281/zenodo.5152222.

Conflicts of Interest

The authors declare no conflict of interest.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data presented in this study are openly available in Zenodo at doi: 10.5281/zenodo.5152222.


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