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Studies in Mycology logoLink to Studies in Mycology
. 2015 Oct 2;81:1–26. doi: 10.1016/j.simyco.2015.08.001

Phylogeny of tremellomycetous yeasts and related dimorphic and filamentous basidiomycetes reconstructed from multiple gene sequence analyses

X-Z Liu 1,4, Q-M Wang 1,4, B Theelen 2, M Groenewald 2, F-Y Bai 1,2,, T Boekhout 1,2,3,
PMCID: PMC4777771  PMID: 26955196

Abstract

The Tremellomycetes (Basidiomycota) contains a large number of unicellular and dimorphic fungi with stable free-living unicellular states in their life cycles. These fungi have been conventionally classified as basidiomycetous yeasts based on physiological and biochemical characteristics. Many currently recognised genera of these yeasts are mainly defined based on phenotypical characters and are highly polyphyletic. Here we reconstructed the phylogeny of the majority of described anamorphic and teleomorphic tremellomycetous yeasts using Bayesian inference, maximum likelihood, and neighbour-joining analyses based on the sequences of seven genes, including three rRNA genes, namely the small subunit of the ribosomal DNA (rDNA), D1/D2 domains of the large subunit rDNA, and the internal transcribed spacer regions (ITS 1 and 2) of rDNA including 5.8S rDNA; and four protein-coding genes, namely the two subunits of the RNA polymerase II (RPB1 and RPB2), the translation elongation factor 1-α (TEF1) and the mitochondrial gene cytochrome b (CYTB). With the consideration of morphological, physiological and chemotaxonomic characters and the congruence of phylogenies inferred from analyses using different algorithms based on different data sets consisting of the combined seven genes, the three rRNA genes, and the individual protein-coding genes, five major lineages corresponding to the orders Cystofilobasidiales, Filobasidiales, Holtermanniales, Tremellales, and Trichosporonales were resolved. A total of 45 strongly supported monophyletic clades with multiple species and 23 single species clades were recognised. This phylogenetic framework will be the basis for the proposal of an updated taxonomic system of tremellomycetous yeasts that will be compatible with the current taxonomic system of filamentous basidiomycetes accommodating the ‘one fungus, one name’ principle.

Key words: Fungi, Basidiomycota, Tremellomycetes, Yeasts, Multigene phylogeny

Introduction

Unicellular basidiomycetes and dimorphic basidiomycetes with a stable free-living unicellular state during their life cycles are recognised as basidiomycetous yeasts (Boekhout et al. 2011). They occur in all three subphyla of the Basidiomycota, namely Agaricomycotina, Pucciniomycotina and Ustilaginomycotina, which are presently recognised on the basis of molecular phylogenetic analyses (Fell et al., 2000, Scorzetti et al., 2002, James et al., 2006, Hibbett et al., 2007, Wuczkowski et al., 2011). Yeast taxa in the Agaricomycotina occur only in the basal Tremellomycetes lineage (Hibbett, 2006, Boekhout et al., 2011, Weiß et al., 2014). Phenotypic and molecular analyses revealed a close affiliation of basidiomycetous yeasts with various groups of filamentous basidiomycetes (Millanes et al. 2011). However, yeasts and filamentous fungi have conventionally been studied by different scientific communities and classified using different criteria, resulting in the developments of hitherto independent taxonomic systems of the two groups of fungi. Recent molecular phylogenetic studies have shown the incompatibility between the taxonomic system of basidiomycetous yeasts and that of filamentous basidiomycetes. Furthermore many currently recognised genera of tremellomycetous yeasts, which are mainly defined based on phenotypic characters, are strikingly polyphyletic. For example, species of the genus Cryptococcus are located in all currently recognised orders of Tremellomycetes and occur intermingled with species of other genera, such as Bullera (Fell et al., 2000, Boekhout et al., 2011, Fonseca et al., 2011, Millanes et al., 2011, Weiß et al., 2014). The polyphyletic nature of the traditionally defined teleomorphic genus Tremella, which is usually dimorphic, is also remarkable. Several monophyletic clades have been recognised among Tremella species which occur interspersed with other teleomorphic and anamorphic genera (Boekhout et al., 2011, Millanes et al., 2011, Weiß et al., 2014). These problems existing in the current taxonomic systems of both yeasts and filamentous fungi in the Tremellomycetes remain to be resolved.

The high-level classification of Basidiomycota has been updated with results from the Assembling the Fungal Tree of Life (AFTOL) project that used a multigene sequence analysis approach (Lutzoni et al., 2004, James et al., 2006, Hibbett et al., 2007). However, only a limited number of basidiomycetous yeast taxa were included in that project, making it impossible to propose a corresponding revision of the taxonomic system of basidiomycetous yeasts. Consequently, the artificial classification system of these organisms largely remained in the latest edition of ‘The Yeasts, a Taxonomic Study’ [hereafter referred to as ‘The Yeasts’] (Kurtzman et al. 2011), due to the lack of reliable multigene phylogenetic studies of these yeasts.

The requirement for revising the taxonomic system of tremellomycetous yeasts has been emphasised by recent progress in biodiversity studies of yeasts and by the change of fungal nomenclature adopting the ‘one fungus = one name’ concept (Hawksworth 2011). Molecular taxonomic studies have resulted in the availability of a comprehensive sequence database of the large subunit of the ribosomal RNA gene (LSU rDNA) D1/D2 domains and the ITS (including 5.8S) regions of rDNA for almost all known basidiomycetous yeast species (Fell et al., 2000, Scorzetti et al., 2002, Wang and Bai, 2008, Schoch et al., 2012). The rDNA sequence databases have become a molecular platform for rapid identification of yeasts, resulting in continued discovery of new taxa in recent years (Boekhout, 2005, Wang and Bai, 2008, Wuczkowski et al., 2011). The addition of these new species has contributed to the increase of the polyphyletic nature of many basidiomycetous yeast genera. For example, the distribution of Bullera species has expanded from Tremellales and Filobasidiales (Boekhout & Nakase 1998) to Trichosporonales (Nakase et al., 2002, Fungsin et al., 2006). With each new species being taxonomically misplaced, the chaos of the taxonomic system increases. Therefore, an updated taxonomic system is imperative for the correct placement of the vast amount of hidden yeast diversity.

Similar to filamentous fungi, many yeast species have separate teleomorphic and anamorphic names. As regulated by the new International Code of Nomenclature for algae, fungi and plants (Melbourne Code) (McNeill et al. 2012), after January 1 2013, only one name is legitimate regardless of whether or not a sexual state exists. An updated taxonomic system, especially the redefinition of genera based on a robust multigene phylogeny, will be required for the name choices and to minimise the possibility of name changes in the future. The purpose of this study is to confidently resolve the phylogenetic relationships among tremellomycetous yeasts and dimorphic fungi based on multiple gene sequence analyses, resulting in a framework that allows us to update the taxonomic system of yeasts and related taxa in the Tremellomycetes.

Materials and methods

Taxon sampling

A total of 294 tremellomycetous yeast strains were included in this study, which covered the type strains of 286 currently recognised species and varieties, the type strains of six synonyms, and two additional strains with mating types opposite to those of the type strains (Table 1). From the 240 tremellomycetous yeast species and varieties included in the latest edition of ‘The Yeasts’ (Kurtzman et al. 2011), 234 were included in this study. In addition, 52 tremellomycetous yeast species which were published too late for inclusion in the book were also employed in this study. The taxa sampled covered 16 teleomorphic and 19 anamorphic genera. The type strains of two pucciniomycetous and one ustilaginomycetous yeast species were employed as outgroup (Table 1).

Table 1.

List of tremellomycetous yeasts and dimorphic taxa employed. The sequences with GenBank numbers in bold are determined in this study.

Lineage/clade Species Strain ITS (5.8S) D1D2 SSU RPB1 RPB2 TEF1 CYTB
Cystofilobasidiales
Cystofilobasidium Cystofilobasidium bisporidii* CBS 6346T KF036597 EU085532 AB072225 KF036419 KF036832 KF037103 KF423238
C. capitatum* CBS 6358T AF139627 AF075465 D12801 KF036420 KF036833 KF037104 /
C. ferigula* CBS 7202T KF036598 CBS database AB032628 / / KF037105 KF423239
C. infirmominiatum* CBS 323T AF444400 AF075505 AB072226 / KF036834 KF037106 KF423240
C. lacus-mascardii* CBS 10642T EF613495 AY158642 KF036665 KF036421 KF036835 KF037107 KF423241
C. macerans* CBS 10757T EU082231 EU082225 KF036666 KF036423 KF036837 KF037109 /
C. macerans* CBS 2206 AF444329 AF189848 AB032642 KF036422 KF036836 KF037108 KF423242
Guehomyces Guehomyces pullulans CBS 2532T AF444417 EF551318 AB001766 KF036478 KF036892 KF037155 AF175778
Tausonia pamirica CBS 8428T KF036600 EF118825 KF036692 / / / /
huempii Cryptococcus huempii CBS 8186T AF444322 AF189844 AB032636 KF036377 KF036790 KF037062 KF423200
Mrakia curviuscula* CBS 9136T KF036599 EF118826 KF036684 KF036510 KF036924 KF037185 KF423313
Itersonilia Itersonilia perplexans CBS 363.85T AB072233 AJ235274 AB072228 / KF036900 / KF423296
Udeniomyces pannonicus CBS 9123T AB072229 AB077382 AB072227 KF036579 KF036996 KF037251 /
Mrakia Mrakia blollopis* CBS 8921T AY038826 AY038814 KF036683 KF036509 KF036923 KF037184 /
M. frigida* CBS 5270T AF144483 AF075463 D12802 KF036511 KF036925 KF037186 /
M. nivalis* CBS 5266T AF144484 AF189849 DQ831017 KF036513 KF036927 KF037188 /
M. gelida* CBS 5272T AF144485 AF189831 KF036685 KF036512 KF036926 / KF423314
M. stokesii* CBS 5917T AF144486 AF189830 KF036687 KF036515 KF036929 KF037190 /
M. psychrophila* CBS 10828T EU224267 EU224266 / / / / /
M. robertii* CBS 8912T AY038829 AY038811 KF036686 KF036514 KF036928 KF037189 KF423315
Mrakiella aquatic CBS 5443T AF410469 AF075470 AB032621 KF036516 KF036930 KF037191 KF423316
M. cryoconiti CBS 10834T AJ866976 GQ911524 / / / KF037192 /
M. niccombsii CBS 8917T AY029346 AY029345 KF036688 KF036517 KF036931 KF037193 KF423318
Udeniomyces Udeniomyces megalosporus CBS 7236T AF444408 AF075510 D31657 KF036578 KF036995 / /
U. puniceus CBS 5689T AF444435 AF075519 D31658 KF036580 DQ836008 / /
U. pyricola CBS 6754T AF444402 AF075507 D31659 KF036581 KF036997 KF037252 /
Phaffia Phaffia rhodozyma CBS 5905T AF139629 AF189871 KF036689 / KF036933 KF037195 KF423320
Xanthophyllomyces dendrorhous* CBS 7918T AF139628 AF075496 D31656 KF036582 KF036998 KF037253 KF423356
Filobasidiales
aerius Cryptococcus aerius CBS 155T AF145324 AF075486 AB032614 KF036336 KF036748 KF037019 KF423160
C. fuscescens CBS 7189T AF145319 AF075472 AB032631 KF036372 KF036784 KF037056 KF423195
C. keelungensis CBS 10876T EF621565 EF621562 KF036637 / KF036792 KF037064 KF423202
C. phenolicus CBS 8682T AF444351 AF181523 KF036647 KF036394 KF036808 KF037079 KF423217
C. terreus CBS 1895T AF444319 AF075479 AB032647 KF036409 KF036823 KF037094 KF423231
C. elinovii CBS 7051T AF145318 AF137604 KF036631 KF036365 KF036777 KF037050 KF423189
C. terricola CBS 4517T AF444350 AF181520 KF036659 KF036410 KF036824 KF037095 /
albidus C. adeliensis CBS 8351T AF145328 AF137603 KF036610 KF036335 KF036747 KF037018 KF423159
C. albidosimilis CBS 7711T AF145325 AF137601 KF036612 KF036338 KF036750 KF037021 KF423162
C. albidus var. Albidus CBS 142T AF145321 AF075474 AB032616 / KF036751 KF037022 KF423163
C. albidus var. Kuetzingii CBS 922 AF444313 AF181504 KF036613 KF036339 KF036752 KF037023 KF423164
C. albidus var. Kuetzingii CBS 1926T AF145327 AF137602 AB032639 KF036340 KF036753 KF037024 KF423165
C. albidus var. Ovalis CBS 5810T AF145329 AF137605 KF036614 / KF036754 KF037025 KF423166
C. antarcticus var.antarcticus CBS 7687T AF145326 AF075488 AB032620 KF036345 / KF037030 KF423169
C. antarcticus var. circumpolaris CBS 7689T KF036586 CBS database KF036618 KF036346 KF036759 KF037031 KF423170
C. bhutanensis CBS 6294T AF145317 AF137599 AB032623 KF036352 KF036765 KF037037 KF423176
C. cerealis CBS 10505T FJ473371 FJ473376 KF036624 KF036356 / KF037041 KF423180
C. diffluens CBS 160T AF145330 AF075502 KF036630 KF036363 KF036775 KF037048 KF423187
C. friedmannii CBS 7160T AF145322 AF075478 AB032630 KF036371 KF036783 KF037055 KF423194
C. liquefaciens CBS 968T AF444345 AF181515 KF036638 KF036381 KF036794 KF037066 KF423203
C. randhawai CBS 10160T AJ876528 AJ876599 KF036650 / / / /
C. saitoi CBS 1975T AF444372 AF181540 KF036651 KF036400 KF036814 KF037085 KF423222
C. uzbekistanensis CBS 8683T AF444339 AF181508 KF036660 KF036412 KF036826 KF037096 KF423232
C. vishniacii CBS 7110T AF145320 AF075473 AB032650 KF036414 / KF037098 KF423234
cylindricus Bullera taiwanensis CBS 9813T / AB079065 AB072234 / / / /
Cryptococcus cylindricus CBS 8680T AF444360 AF181534 KF036628 KF036360 KF036772 KF037045 KF423184
C. silvicola CBS 10099T AY898956 AY898955 KF036653 KF036402 KF036816 KF037087 KF423224
Filobasidium C. chernovii CBS 8679T AF444354 AF181530 KF036625 KF036357 KF036769 KF037042 KF423181
C. magnus CBS 140T AF190008 AF181851 AB032643 KF036383 KF036796 KF037068 KF423205
C. oeirensis CBS 8681T AF444349 AF181519 KF036644 / KF036804 KF037076 KF423213
C. stepposus CBS 10265T DQ222455 DQ222456 KF036655 KF036405 KF036819 KF037090 KF423227
C. wieringae CBS 1937T AF444373 AF181541 KF036663 KF036416 KF036829 KF037100 KF423236
Filobasidium elegans* CBS 7640EXT AF190006 AF181548 KF036678 KF036474 KF036888 / KF423285
F. floriforme* CBS 6241EXT AF190007 AF075498 D13460 KF036475 KF036889 / /
F. globisporum* CBS 7642EXT AF444336 AF075495 AB075546 KF036476 KF036890 KF037153 KF423286
F. uniguttulatum* CBS 1730T AF444302 AF075468 AB032664 KF036477 KF036891 KF037154 KF423287
gastricus Cryptococcus aciditolerans CBS 10872T KF036583 AY731790 KF036609 / KF036746 KF037017 KF423158
C. agrionensis CBS 10799T KF036584 EU627786 KF036611 KF036337 KF036749 KF037020 KF423161
C. gastricus CBS 2288T AF145323 AF137600 AB032633 KF036373 KF036785 KF037057 AB040652
C. gilvescens CBS 7525T AF444380 AF181547 AB032634 KF036374 KF036786 KF037058 KF423196
C. ibericus CBS 10871T KF036592 AY731791 KF036636 KF036379 KF036791 KF037063 KF423201
C. metallitolerans CBS 10873T KF036594 AY731789 KF036639 KF036385 KF036798 KF037070 KF423207
single-species clade C. arrabidensis CBS 8678T AF444362 AF181535 KF036621 KF036349 KF036762 KF037034 KF423173
Filobasidium capsuligenum* CBS 1906T AF444381 AF363642 AB075544 KF036473 KF036887 KF037152 AB040654
Holtermanniales
Holtermanniella Holtermanniella festucosa CBS 10162T AY462120 AY462119 KF036633 KF036367 KF036779 KF037052 KF423191
H. mycelialis CBS 7712T AF408417 AJ311450 KF036641 KF036388 KF036801 KF037073 KF423210
H. nyarrowii CBS 8804T AY006481 AY006480 KF036643 KF036390 KF036803 KF037075 KF423212
H. wattica CBS 9496T FJ473373 AY138478 KF036662 KF036415 KF036828 KF037099 KF423235
H. takashimae CBS 11174T FM246501 FM242574 KF036679 KF036486 / KF037163 KF423295
Holtermannia Holtermannia corniformis* CBS 6979R AF410472 AF189843 AF053718 KF036485 / / KF423294
Tremellales
amylolyticus Cryptococcus amylolyticus CBS 10048T KF036585 AY562134 KF036616 KF036343 KF036757 KF037028 /
C. armeniacus CBS 10050T KF036587 AY562140 KF036620 KF036348 KF036761 KF037033 KF423172
C. bromeliarum CBS 10424T EU386359 DQ784566 KF036623 KF036353 KF036766 / KF423177
C. tibetensis CBS 10456T EF363146 EF363143 EF363152 KF036411 KF036825 / /
aurantia Tremella aurantia* CBS 6965R AF444315 AF189842 KF036693 KF036522 KF036937 KF037199 KF423323
T. encephala* CBS 8207R AF042402 AF042220 KF036697 KF036526 KF036942 KF037204 KF423327
T. encephala* CBS 6968 AF410474 AF189867 KF036698 KF036525 KF036941 KF037203 /
T. indecorata* CBS 6976R AF042432 AF042250 KF036704 KF036532 KF036948 KF037209 KF423333
aureus Cryptococcus aureus CBS 318T AB035045 AB035041 AB085795 KF036350 KF036763 KF037035 KF423174
C. flavescens CBS 942T KF036590 AB035042 AB085796 KF036368 KF036780 KF037053 KF423192
C. terrestris CBS 10810T EU200782 EF370393 KF036658 KF036408 KF036822 KF037093 KF423230
Auriculibuller Auriculibuller fuscus* CBS 9648 AF444669 AF444763 KF036604 KF036314 KF036727 KF036999 KF423141
Bullera japonica CBS 2013T AF444666 AF444760 / / / / /
Cryptococcus taeanensis CBS 9742T AY686645 AY422719 KF036656 KF036406 KF036820 KF037091 KF423228
Bandoniozyma Bandoniozyma glucofermentans CBS 10381T JN381033 AY520334 KF036605 KF036315 KF036728 KF037000 /
B. noutii CBS 8364T AF444391 AF444700 KF036606 KF036316 KF036729 KF037001 KF423142
B. complexa CBS 11570T GU321089 GU321090 KF036607 KF036317 KF036730 KF037002 KF423143
B. tunnelae CBS 6123T AF444333 AF444687 KF036608 KF036318 KF036731 KF037003 /
Bulleribasidium Bulleribasidium oberjochense* CBS 9110T GU327541 AF416646 GU327541 KF036333 KF036744 / KF423157
Mingxiaea begonia CBS 10762T AB118874 AB119462 AB118874 KF036500 KF036914 KF037177 KF423304
M. foliicola CBS 11407T GQ438834 GQ438834 GQ438834 KF036501 KF036915 KF037178 KF423305
M. hainanensis CBS 11409T GQ438828 GQ438828 GQ438828 KF036502 KF036916 KF037179 KF423306
M. panici CBS 9932T AY188386 AY188387 AY188386 KF036503 KF036917 KF037180 KF423307
M. pseudovariabilis CBS 9609T AF453288 AF544247 AF453290 KF036504 KF036918 KF037181 KF423308
M. sanyaensis CBS 11408T GQ438831 GQ438831 GQ438831 KF036505 KF036919 KF037182 KF423309
M. setariae CBS 10763T AB118875 AB119463 AB118875 KF036506 KF036920 KF037183 KF423310
M. siamensis CBS 9933T AY188389 AY188388 AY188389 / / / /
M. variabilis CBS 7347T AF314965 AF189855 D31654 KF036507 KF036921 / KF423311
M. wuzhishanensis CBS 11411T GQ438830 GQ438830 GQ438830 KF036508 KF036922 / KF423312
Bulleromyces Bullera unica CBS 8290T AF444441 AF075524 D78330 KF036332 / KF037015 KF423155
Bulleromyces albus* CBS 501T AF444368 AF075500 X60179 KF036334 KF036745 KF037016 KF423156
Cryptococcus Cryptococcus amylolentus* CBS 6039T AF444306 AF105391 AB032619 KF036342 KF036756 KF037027 KF423168
Tsuchiyaea wingfieldii* CBS 7118T AF444327 AF177404 D64121 KF036577 KF036994 KF037250 AB040662
Cryptococcus neoformans* CBS 132T AF444326 AF075484 HQ596559 KF036472 KF036886 KF037151 AB040655
C. gattii* CBS 6289T AF444444 AF075526 KF036677 KF036470 KF036884 KF037149 KF423283
Filobasidiella depauperata* CBS 7841T FJ534881 FJ534911 AJ568017 KF036471 KF036885 KF037150 KF423284
Derxomyces Derxomyces anomala CBS 9607T AF453289 EF682504 AF453291 KF036424 KF036838 KF037110 KF423243
D. boekhoutii CBS 10824T EU517057 EU517057 EU517057 KF036425 KF036839 KF037111 KF423244
D. boninensis CBS 9141T AB022933 AY487568 AB022928 KF036426 KF036840 KF037112 KF423245
D. cylindrical CBS 9744T AY487563 AY487563 EU517071 KF036427 KF036841 KF037113 KF423246
D. hainanensis CBS 10820T EU517056 EU517056 EU517056 KF036428 KF036842 KF037114 KF423247
D. hubeiensis CBS 9747T AY487567 AY487566 EU517069 KF036429 KF036843 KF037115 KF423248
D. huiaensis CBS 8287T AB022931 AB118870 D78331 KF036430 KF036844 KF037116 KF423249
D. komagatae CBS 10153T AF314977 AF544249 AF314995 KF036431 KF036845 KF037117 KF423250
D. linzhiensis CBS 10827T EU517058 EU517058 EU517058 KF036432 KF036846 KF037118 KF423251
D. mrakii CBS 8288T AB022932 AB118871 D78325 KF036433 KF036847 KF037119 KF423252
D. nakasei CBS 9746T AY487565 AY487564 EU517070 KF036434 KF036848 KF037120 KF423253
D. pseudocylindrica CBS 10826T EU517059 EU517059 EU517059 KF036435 KF036849 KF037121 KF423254
D. pseudohuiaensis CBS 7364T AF314970 AF544250 AF314994 KF036436 KF036850 / KF423255
D. pseudoschimicola CBS 7354T AF314979 AF416647 AF314997 KF036437 KF036851 KF037122 KF423256
D. qinlingensis CBS 10818T EU517060 EU517060 EU517060 KF036438 KF036852 KF037123 KF423257
D. schimicola CBS 9144T AB022936 AY487570 AB022930 KF036439 KF036853 KF037124 KF423258
D. simaoensis CBS 10822T EU517062 EU517062 EU517062 KF036440 KF036854 KF037125 KF423259
D. waltii CBS 9143T AB022935 AY487569 AB022929 KF036441 KF036855 KF037126 KF423260
D. wuzhishanensis CBS 10825T EU517063 EU517063 EU517063 KF036442 KF036856 KF037127 KF423261
D. yunnanensis CBS 10821T EU517064 EU517064 EU517064 KF036443 KF036857 KF037128 KF423262
dimennae Bullera globispora CBS 6981T AF444407 AF075509 D31650 KF036323 KF036736 KF037007 KF423148
Cryptococcus carnescens CBS 973T KF036588 AB035054 AB085798 KF036354 KF036767 KF037039 KF423178
C. dimennae CBS 5770T AF410473 AF075489 AB032627 KF036364 KF036776 KF037049 KF423188
C. heimaeyensis CBS 8933T KF036591 DQ000317 KF036635 KF036376 KF036788 KF037060 KF423198
C. peneaus CBS 2409T AB035047 AB035051 AB085799 KF036392 KF036806 KF037077 KF423215
C. tephrensis CBS 8935T DQ000318 DQ000318 KF036657 KF036407 KF036821 KF037092 KF423229
C. victoriae CBS 8685T AF444469 AF363647 KF036661 KF036413 KF036827 KF037097 KF423233
Dioszegia Dioszegia Antarctica CBS 10920T DQ402529 FJ640575 KF036667 KF036444 KF036858 KF037129 KF423263
D. athyri CBS 10119T EU070926 EU070931 KF036668 KF036445 KF036859 KF037130 KF423264
D. aurantiaca CBS 6980T AB049613 AB104689 AB049615 KF036446 KF036860 KF037131 KF423265
D. buhagiarii CBS 10054T AY885687 AY562151 EU517065 KF036447 KF036861 KF037132 KF423266
D. butyracea CBS 10122T EU070924 EU070929 KF036669 KF036448 KF036862 KF037133 KF423267
D. catarinonii CBS 10051T AY562154 AY562142 KF036670 KF036449 KF036863 / KF423268
D. changbaiensis CBS 9608T AY242817 AY242819 AY242817 KF036450 KF036864 KF037134 KF423269
D. crocea CBS 6714T AB049612 AF075508 D31648 KF036451 KF036865 KF037135 AB040649
D. cryoxerica CBS 10919T FJ640565 FJ640562 KF036671 KF036452 KF036866 KF037136 KF423270
D. fristingensis CBS 10052T AY562158 AY562146 EU517066 KF036453 KF036867 / KF423271
D. hungarica CBS 4214T AB049614 AF075503 AB032638 KF036454 KF036868 KF037138 KF423272
D. statzelliae CBS 8925T AY029342 AY029341 / / / / /
D. takashimae CBS 10053T AY562160 AY562149 KF036672 KF036455 KF036869 / KF423273
D. xingshanensis CBS 10120T EU070923 EU070928 KF036673 KF036456 KF036870 KF037139 KF423274
D. zsoltii CBS 9127T AF385445 AF544245 AF385443 KF036457 KF036871 KF037140 KF423275
Fellomyces Fellomyces borneensis CBS 8282T AJ608642 AF189877 AB032659 KF036458 KF036872 KF037141 KF423276
F. horovitziae CBS 7515T AF444404 AF189856 AB001033 KF036461 KF036875 KF037143 /
F. penicillatus CBS 5492T AF444337 AF177405 AB001034 KF036464 KF036878 KF037144 /
F. polyborus CBS 6072T AF444411 AF189859 KF036676 KF036465 KF036879 KF037145 /
Fibulobasidium Fibulobasidium inconspicuum* CBS 8237R AF444318 AF363641 D64123 KF036468 KF036882 KF037147 KF423281
F. murrhardtense* CBS 9109T GU327540 AF416648 GU327540 KF036469 KF036883 KF037148 KF423282
flavus Cryptococcus flavus CBS 331T AF444338 AF075497 AB032629 KF036369 KF036781 / KF423193
C. paraflavus CBS 10100T AY395800 AY395799 KF036645 KF036391 KF036805 / KF423214
C. podzolicus CBS 6819T AF444321 AF075481 AB032645 KF036396 KF036810 KF037081 /
foliacea C. fagi CBS 9964T DQ054534 DQ054535 KF036632 KF036366 KF036778 KF037051 KF423190
C. skinneri CBS 5029T AF444305 AF189835 AB032646 KF036403 KF036817 KF037088 KF423225
Tremella foliacea* CBS 6969R AF444431 AF189868 KF036700 KF036528 KF036944 KF037206 KF423329
T. neofoliacea* CBS 8475R AF042415 AF042236 KF036706 / / / /
hannae Bullera hannae CBS 8286T AF444486 AF363661 D78327 KF036324 KF036737 KF037008 /
B. penniseticola CBS 8623T AF444471 AF363649 AB005452 KF036329 KF036741 KF037012 KF423152
Hannaella Hannaella coprosmaensis CBS 8284T AF444485 AF363660 D78326 KF036479 KF036893 KF037156 KF423288
H. kunmingensis CBS 8960T AF325171 AB109558 AF325169 KF036480 KF036894 / KF423289
H. luteola CBS 943T AF444323 AF075482 AB032641 KF036481 KF036895 KF037158 KF423290
H. oryzae CBS 7194T AF444413 AF075511 D31652 KF036482 KF036896 KF037159 KF423291
H. sinensis CBS 7238T AF444468 AF189884 D78328 KF036483 KF036897 KF037160 KF423292
H. surugaensis CBS 9426T AB100440 AB100440 AB100440 KF036484 KF036898 KF037161 KF423293
Kockovaella Fellomyces chinensis CBS 8278T AF444460 AF189878 AB032660 KF036459 KF036873 KF037142 KF423277
F. distylii CBS 8545T AF444475 AF363652 AB001036 / / / /
F. fuzhouensis CBS 8243T AF444484 AF363659 KF036674 KF036460 KF036874 / KF423278
F. lichenicola CBS 8315T AF444462 AF363643 AB032661 KF036462 KF036876 / KF423279
F. mexicanus CBS 8279T AJ608667 AJ627906 KF036675 KF036463 KF036877 / /
F. ogasawarensis CBS 8544T AF444474 AF363651 AB001035 / / / KF423280
F. sichuanensis CBS 8318T AF444461 AF189879 AB032662 KF036466 KF036880 / /
F. thailandicus CBS 8308T AJ608647 AF363644 AB044804 KF036467 KF036881 / /
Kockovaella barringtoniae CBS 9811T AB052631 AB292854 AB052631 KF036487 KF036901 KF037165 KF423297
K. calophylli CBS 8962T AB042227 AB292852 AB042222 KF036488 KF036902 KF037166 /
K. cucphuongensis CBS 8959T AB042225 AB292853 AB042220 KF036489 KF036903 KF037167 /
K. imperatae CBS 7554T AB054091 AF189862 KF036680 KF036490 KF036904 KF037168 KF423298
K. litseae CBS 8964T AB042223 AB292850 AB042218 KF036491 KF036905 KF037169 KF423299
K. machilophila CBS 8607T AB054092 AF363654 AB005479 KF036492 KF036906 KF037170 /
K. phaffii CBS 8608T AB054093 AF363655 AB005480 KF036493 KF036907 / KF423300
K. sacchari CBS 8624T AB054094 AF363650 AB005453 KF036494 KF036908 KF037171 /
K. schimae CBS 8610T AB042228 AF363656 AB005482 KF036495 KF036909 KF037172 /
K. thailandica CBS 7552T AB054095 AF075516 D64133 KF036496 KF036910 KF037173 KF423301
K. vietnamensis CBS 8963T AB042226 AB292851 AB042221 KF036497 KF036911 KF037174 /
Kwoniella Bullera dendrophila CBS 6074T AF444443 AF189870 D31649 KF036320 KF036733 KF037005 KF423145
Cryptococcus bestiolae CBS 10118T FJ534873 FJ534903 KF036622 KF036351 KF036764 KF037036 KF423175
C. dejecticola CBS 10117T AY917103 AY917102 KF036629 KF036362 KF036774 KF037047 KF423186
C. heveanensis* CBS 569T AF444301 AF075467 AB032635 FJ534921 KF036789 KF037061 KF423199
C. pinus CBS 10737T EF672246 EF672245 KF036648 KF036395 KF036809 KF037080 KF423218
C. shivajii CBS 11374T FM212571 FM212446 KF036652 KF036401 KF036815 KF037086 KF423223
Kwoniella mangroviensis* CBS 8507T AF444646 AF444742 KF036681 KF036498 KF036912 KF037175 KF423302
laurentii Cryptococcus laurentii CBS 139T AF410468 AF075469 AB032640 KF036380 KF036793 KF037065 AB040653
C. rajasthanensis CBS 10406T AM262325 AM262324 KF036649 KF036398 KF036812 KF037083 KF423220
melastomae Bullera formosana CBS 10306T AB118873 AB119465 AB118873 KF036321 KF036734 / KF423146
B. melastomae CBS 10305T AB118872 AB119464 AB118872 KF036327 / / KF423150
moriformis Tremella moriformis* CBS 7810R AF444331 AF075493 U00977 KF036534 KF036950 KF037211 KF423335
T. nivalis* CBS 8487R AF042414 AF042232 KF036707 / / / /
Papiliotrema Cryptococcus nemorosus CBS 9606T AF472628 AF472625 KF036642 KF036389 KF036802 KF037074 KF423211
C. perniciosus CBS 9605T AF472627 AF472624 KF036646 KF036393 KF036807 KF037078 KF423216
Papiliotrema bandonii* CBS 9107T GU327539 AF416642 GU327539 KF036518 KF036932 KF037194 KF423319
pseudoalba Bullera pseudoalba CBS 7227T AF444399 AF075504 D31660 KF036330 KF036742 KF037013 KF423153
Cryptococcus cellulolyticus CBS 8294T AF444442 AF075525 AB032624 KF036355 KF036768 KF037040 KF423179
C. anemochoreius CBS 10258T DQ830986 DQ384929 KF036617 KF036344 KF036758 KF037029 /
Tremella Tremella brasiliensis* CBS 6966R AF444429 AF189864 KF036694 / KF036938 KF037200 KF423324
T. cinnabarina* CBS 8234R AF444430 AF189866 KF036695 KF036523 KF036939 KF037201 KF423325
T. coalescens* CBS 6967R KF036601 AF189865 KF036696 KF036524 KF036940 KF037202 KF423326
T. flava* CBS 8471R AF042403 AF042221 KF036699 KF036527 KF036943 KF037205 KF423328
T. fuciformis* CBS 6970R AF444316 AF075476 KF036701 KF036529 / KF037207 KF423330
T. globispora* CBS 6972R AF444432 AF189869 KF036703 KF036531 KF036947 KF037208 KF423332
T. mesenterica* CBS 6973R AF444433 AF075518 KF036705 KF036533 KF036949 KF037210 KF423334
T. resupinata* CBS 8488R AF042421 AF042239 KF036708 KF036535 KF036951 KF037212 KF423336
T. taiwanensis* CBS 8479R AF042412 AF042230 KF036709 KF036536 KF036952 KF037213 KF423337
T. tropica* CBS 8483R AF042433 AF042251 KF036710 KF036537 KF036953 KF037214 /
single species clade Bullera arundinariae CBS 9931T AF547662 AF547661 AF547660 KF036319 KF036732 KF037004 KF423144
B. miyagiana CBS 7526T AF444409 AF189858 D31651 KF036328 KF036740 KF037011 KF423151
B. sakaeratica CBS 9934T AY217651 AY211546 AY211544 KF036331 KF036743 KF037014 KF423154
Cryptococcus allantoinivorans CBS 9604T AY315664 AY315662 KF036615 KF036341 KF036755 KF037026 KF423167
C. cistialbidi CBS 10049T KF036589 AY562135 KF036626 KF036358 KF036770 KF037043 KF423182
C. cuniculi CBS 10309T CBS database DQ333885 KF036627 / / / /
C. mujuensis CBS 10308T KF036595 DQ333884 KF036640 KF036386 KF036799 KF037071 KF423208
C. spencermartinsiae CBS 10760T EU249514 DQ513279 KF036654 KF036404 KF036818 KF037089 KF423226
Cuniculitrema polymorpha* CBS 9644T KF036596 AY032662 KF036664 KF036418 KF036831 KF037102 /
Sirobasidium intermedium* CBS 7805 AF444330 AF075492 KF036690 KF036519 KF036934 KF037196 /
S. magnum* CBS 6803 AF444314 AF075475 KF036691 KF036520 KF036935 KF037197 KF423321
Tremella giraffa* CBS 8489R AF042453 AF042271 KF036702 KF036530 KF036946 / KF423331
Trimorphomyces papilionaceus* CBS 443.92 AF444483 AF075491 KF036726 KF036576 KF036993 KF037249 KF423355
Trichosporonales
cutaneum Trichosporon cutaneum CBS 2466T AF444325 AF075483 KF036712 KF036545 KF036961 KF037221 AB175752
T. debeurmannianum CBS 1896T AY143556 AY143554 KF036713 KF036546 KF036962 KF037222 KF423340
T. dermatis CBS 2043T AY143557 AY143555 AB035585 KF036548 KF036964 KF037224 KF423342
T. jirovecii CBS 6864T AF444437 AF105398 AB001758 / KF036974 KF037234 AB175765
T. moniliiforme CBS 2467T AF444415 AF105392 AB001761 KF036562 KF036979 KF037238 AB175772
T. mucoides CBS 7625T AF444423 AF075515 AB001763 KF036564 KF036981 KF037240 AB040665
T. smithiae CBS 8370T AF444397 AF444706 KF036720 KF036570 KF036987 KF037244 KF423350
T. terricola CBS 9546T AB031517 AB086382 KF036722 KF036572 KF036989 / KF423352
formosensis Bullera formosensis CBS 9812T AY787859 AY787858 AB072235 KF036322 KF036735 KF037006 KF423147
B. koratensis CBS 10484T AY919655 AY313006 AY863105 KF036325 KF036738 KF037009 KF423149
B. lagerstroemiae CBS 10483T AY313033 AY313010 AY313033 KF036326 KF036739 KF037010 /
Cryptococcus tepidarius CBS 9427T AB094045 AB094046 / / / / /
gracile/brassicae Trichosporon dulcitum CBS 8257T AF444428 AF075517 AB001755 KF036551 KF036967 KF037227 AB175755
T. gracile CBS 8189T AF444440 AF105399 AB001756 KF036554 KF036970 KF037230 AB175761
T. laibachii CBS 5790T AF444421 AF075514 AB001760 KF036559 KF036976 KF037235 AB175769
T. multisporum CBS 2495T AF414695 AF139984 AB001764 KF036565 KF036982 KF037241 AB175775
T. loubieri CBS 7065T AF444438 AF075522 AB001759 KF036561 KF036978 KF037237 AB175771
T. mycotoxinivorans CBS 9756T AJ601389 AJ601388 KF036718 KF036566 KF036983 KF037242 KF423347
T. vadense CBS 8901T AY093425 AY093426 KF036723 KF036573 KF036990 KF037246 KF423353
T. veenhuisii CBS 7136T AF414693 AF105400 KF036724 KF036574 KF036991 KF037247 AB175781
T. brassicae CBS 6382T AF444436 AF075521 AB001731 KF036541 KF036957 KF037218 AB175750
T. domesticum CBS 8280T AF444414 AF075512 AB001754 KF036550 KF036966 KF037226 AB175753
T. montevideense CBS 6721T AF444422 AF105397 AB001762 KF036563 KF036980 KF037239 AB175774
T. scarabaeorum CBS 5601T AF444446 AF444710 KF036719 KF036569 KF036986 KF037243 KF423349
haglerorum Cryptococcus arboriformis CBS 10441T AB260936 AB260936 KF036619 KF036347 KF036760 KF037032 KF423171
C. haglerorum CBS 8902T AY787857 AF407276 KF036634 KF036375 KF036787 KF037059 KF423197
porosum Trichosporon dehoogii CBS 8686T AF444476 AF444718 KF036714 KF036547 KF036963 KF037223 KF423341
T. gamsii CBS 8245T KF036602 AF444708 KF036716 KF036553 KF036969 KF037229 AB175780
T. lignicola CBS 219.34T AY370684 AY370685 DQ836003 KF036560 KF036977 KF037236 KF423346
T. porosum CBS 2040T AF414694 AF189833 AB051045 KF036568 KF036985 / KF423348
T. sporotrichoides CBS 8246T AF444470 AF189885 KF036721 KF036571 KF036988 KF037245 KF423351
T. wieringae CBS 8903T AY315667 AY315666 KF036725 KF036575 KF036992 KF037248 KF423354
Trichosporon T. aquatile CBS 5973T AF410475 AF075520 AB001730 KF036538 KF036954 KF037215 AB040664
T. asahii CBS 2479T AY055381 AF105393 AB001726 KF036539 KF036955 KF037216 AB175744
T. asteroids CBS 2481T AF444416 AF075513 AB001729 KF036540 KF036956 KF037217 AB175746
T. caseorum CBS 9052T AJ319758 AJ319757 AJ319754 KF036542 KF036958 / KF423338
T. coremiiforme CBS 2482T AF444434 AF139983 AB001727 KF036544 KF036960 KF037220 AB175751
T. dohaense CBS 10761T FJ228475 FJ228471 KF036715 KF036549 KF036965 KF037225 KF423343
T. faecal CBS 4828T AF444419 AF105395 AB001728 KF036552 KF036968 KF037228 AB175758
T. inkin CBS 5585T AF444420 AF105396 AB001757 KF036555 KF036971 KF037231 AB175764
T. insectorum CBS 10422T KF036603 AY520383 AY520254 KF036556 KF036972 / KF423344
T. japonicum CBS 8641T AF444473 AF308657 AB001749 KF036557 KF036973 KF037233 KF423345
T. lactis CBS 9051T AJ319759 AJ319756 AJ319755 KF036558 KF036975 / /
T. ovoides CBS 7556T AF444439 AF075523 AB001765 KF036567 KF036984 / AB175776
Vanrija Vanrija albida CBS 2839T AB035578 AB126584 AB039285 KF036399 KF036813 KF037084 KF423221
V. humicola CBS 571T AF410470 AF189836 AB032637 KF036378 DQ645517 DQ645519 AB176693
V. longa CBS 5920T AB035577 AB126589 AB035586 KF036382 KF036795 KF037067 KF423204
V. musci CBS 8899T AB035579 AB126586 AB039378 KF036387 KF036800 KF037072 KF423209
V. pseudolongus CBS 8297T AB051048 AB126587 AB051047 KF036397 KF036811 KF037082 KF423219
single species clade Cryptococcus curvatus CBS 570T AF410467 AF189834 AB032626 KF036359 KF036771 KF037044 KF423183
C. daszewskae CBS 5123T AB035580 AB126588 AB035582 KF036361 KF036773 KF037046 KF423185
C. fragicola CBS 8898T AB035588 AB126585 AB035588 KF036370 KF036782 KF037054 /
C. marinus CBS 5235T KF036593 AF189846 AB032644 KF036384 KF036797 KF037069 KF423206
Cryptotrichosporon anacardii CBS 9551T AY549985 AY550002 DQ242636 KF036417 KF036830 KF037101 KF423237
Trichosporon chiarellii CBS 11177T GQ338074 EU030272 KF036711 KF036543 KF036959 KF037219 KF423339
T. guehoae CBS 8521T AF410476 AF105401 KF036717 / / / AB175763
Pucciniomycotina
Leucosporidium scottii CBS 5930T AF444495 AF070419 KF036682 KF036499 KF036913 KF037176 KF423303
Sterigmatomyces halophilus CBS 4609T AF444556 AF177416 D64119 KF036521 KF036936 KF037198 KF423322
Ustilaginomycotina
Ustilago maydis AY854090 AF453938 X62396 XM754917 AY485636 AY885160 AB040663

The asterisks indicate teleomorphic taxa; CBS database: sequences are available from the CBS database at http://www.cbs.knaw.nl/Collections/Biolomics.aspx?Table=CBS strain database.

DNA extraction, PCR, and sequencing

Genomic DNA was extracted from yeast cells actively growing on YPD medium using the method described in Bolano et al. (2001) with minor modifications. The UltraClean® Microbial DNA Isolation Kit (MO BIO, CA) was used when high quality DNA templates were required for PCR amplification of some protein genes. A set of six genes was selected and sequenced based on previous studies of the Assembling the Fungal Tree of Life (AFTOL-1) project (James et al., 2006, Hibbett et al., 2007). These genes included three rRNA genes, namely the small subunit (SSU or 18S) of the ribosomal DNA (rDNA), D1/D2 domains of the large subunit (LSU or 26S) rDNA, and the internal transcribed spacer regions (ITS 1 and 2) of the rDNA, including the 5.8S rDNA; and three nuclear protein-coding genes, namely the two subunits of RNA polymerase II (RPB1 and RPB2) and translation elongation factor 1-α (TEF1). In addition, the mitochondrial gene cytochrome b (CYTB) was also included. The primers used for PCR amplification and sequencing of these genes are listed in Table 2. Because of the degenerate nature of the primers used for PCR amplification of the protein-coding genes, sometimes faint or multiple PCR bands were generated from PCR amplification or direct sequencing of amplicons failed. In these cases, amplicons were cloned using the pGEM®-T Easy Vector Systems (Promega Corporation, Madison) following the protocol of the kit. Positive colonies with an insert of expected size were chosen for sequencing.

Table 2.

PCR and sequencing primers used in this study.

Primer name Nucleotide sequence (5′–3′) Reference
ITS and D1/D2
 V9 TGC GTT GAT TAC GTC CCT GC→ Boekhout et al. 2003
 RLR3R ←GGT CCG TGT TTC AAG AC Boekhout et al. 2003
 ITS4 ←TCC TCC GCT TAT TGA TAT GC White et al. 1990
 NL1 GCA TAT CAA TAA GCG GAG GAA AAG→ O'Donnell 1993
SSU
 NS1 GTA GTC ATA TGC TTG TCT→ White et al. 1990
 NS24 ←AAA CCT TGT TAC GAC TTT TA Gargas & Taylor 1992
 Oligo3 ←GTA CAC ACC GCC CGT C Hendriks et al. 1989
 Oligo10 ←TGG YRA ATG CTT TCG C Hendriks et al. 1989
 Oligo13 ←ATA ACA GGT CTG TGA TGC CC Hendriks et al. 1989
 Oligo14 ATA ACA GGT CTG TGA TGC CC→ Hendriks et al. 1989
RPB1
 RPB1-Af GAR TGY CCD GGD CAY TTY GG→ Stiller & Hall 1997
 RPB 1-Cr ←CCN GCD ATN TCR TTR TCC ATR TA Matheny et al. 2002
RPB2
 f RPB2-5F GAY GAY MGW GAT CAY TTY GG→ Liu et al. 1999
 RPB2-6F TGG GGK WTG GTY TGY CCT GC→ Liu et al. 1999
 RPB2-6R ←GCA GGR CAR ACC AWM CCC CA Liu et al. 1999
 RPB2-7R ←CCC ATW GCY TGC TTM CCC AT Liu et al. 1999
 bRPB2-7.1R ←CCC ATR GCY TGY TTM CCC ATD GC Matheny 2005
TEF1
 EF1-983F GCY CCY GGH CAY CGT GAY TTY AT→ Rehner & Buckley 2005
 EF1-2218R ←ATG ACA CCR ACR GCR ACR GTY TG Rehner & Buckley 2005
 EF1-2212R ←CCR ACR GCR ACR GTY YGT CTC AT Rehner & Buckley 2005
 1577F CAR GAY GTB TAC AAG ATY GGT GG→ Rehner & Buckley 2005
 1567R ←ACH GTR CCR ATA CCA CCR ATC TT Rehner & Buckley 2005
CYTB
 E1M4 TGR GGW GCW ACW GTT ATT ACT A→ Biswas et al. 2003
 E2M4 ←GGW ATA GMW SKT AAW AYA GCA TA Biswas et al. 2003

Molecular phylogenetic analyses

Sequences were inspected and assembled using the SeqMan program in the Lasergene 7 software package (DNASTAR Inc., Madison) and were then aligned with Clustal X 1.83 (Thompson et al. 1997). Spliceosomal intron regions were inferred from the insertions with canonical splice sites (GT-AG, GC-AG, AT-AC) (Babenko et al. 2004) in the nucleotide sequence alignments between our data and reference cDNA sequences from GenBank. Exon sequences of the protein-encoding genes RPB1, RPB2, TEF1 and CYTB were manually aligned using MEGA 5 (Tamura et al. 2011). Positions deemed ambiguous to align were excluded manually. Thereafter, multiple sequence alignments for ITS, D1/D2, SSU, RPB1, RPB2, TEF1, and CYTB were concatenated as a combined file.

Maximum likelihood (ML), neighbour-joining (NJ), and Bayesian analyses were conducted for separate and combined nucleotide data sets using RAxML v8.1.X (Stamatakis 2014), MEGA 5.0 (Tamura et al. 2011) and MrBayes 3.2.1 (Ronquist et al. 2012), respectively. ML analysis was implemented with the novel fast bootstrap algorithm with 100 replicates and a subsequent search for the best maximum-likelihood tree in conjunction with the GTRGAMMAI model approximation (Stamatakis 2014). NJ analysis was performed on the evolutionary distance data calculated from Kimura's two-parameter model (Kimura 1980). Bootstrap analyses (Felsenstein 1985) were performed from 1 000 random re-samplings in both ML and NJ analyses. A bootstrap proportion (BP) support above 70 % obtained from the ML and NJ analyses was considered as significant (Hillis & Bull 1993).

Bayesian analysis was implemented using heterogeneous models to the data set with seven unlinked partitions, one for each gene. The best-fit evolution model of each gene fragment in the data set was determined using the Bayesian Information Criterion (BIC) in jModeltest (Posada 2008). The ITS, D1D2, and SSU rDNA gene sequences were fitted to TPM3uf+G, TIM3+G, and TIM2+T+G models, respectively. The protein-coding genes RPB1 and CYTB both used the GTR+I+G model; whereas RPB2 and TEF1 used the TPM3uf+I+G and TPM1uf+G models, respectively. Six to fifty million generations were run with four Markov chains (three heated and one cold), sampling every 500 generations. The average standard deviation of split frequencies, below 0.01, was examined to identify the convergence of the two independent runs. Clades with posterior probabilities (PP) above 0.95 were considered as significantly supported (Larget & Simon 1999).

Results

Sequences generated and data sets constructed for phylogenetic analyses

A total of 1 147 new sequences were produced in this study, including 21 ITS, 123 SSU, 269 RPB1, 270 RPB2, 249 TEF1, and 215 CYTB sequences. In addition, a total of 777 previously published sequences of these genes from the type strains of tremellomycetous yeast taxa were retrieved from GenBank (Table 1). Different data sets consisting of the three rRNA genes (rDNA), the individual protein-coding genes, and the combined seven genes were constructed from the 1 924 sequences employed in this study (Table 3). In addition, a data set of 5.8S and LSU rDNA D1/D2 domain sequences was constructed to include more Tremella species whose sequences were determined from herbarium specimens (Millanes et al. 2011).

Table 3.

Nucleotide sequence data sets constructed for phylogenetic analyses.

Data set No. of strains No. of taxa Length of alignment Parsimony informative characters (%)
rDNA1 297 285 3 208 1 447 (45)
RPB1 271 262 758 615 (81)
RPB2 273 263 1 133 872 (77)
TEF1 249 238 909 498 (55)
CYTB 246 238 388 279 (71)
Seven-gene 281 269 6 298 3 623 (57)
1

The rDNA data set includes 296 ITS, 297 LSU D1/D2, and 292 SSU rDNA sequences.

These data sets were subjected to phylogenetic analyses using Bayesian, ML and NJ algorithms, respectively. The topologies of the trees obtained were compared visually to inspect the phylogenetic concordance among the taxa analysed, based on which monophyletic lineages and clades were recognised and defined (Table 4). As expected, among the trees drawn from different data sets analysed, the seven-gene trees exhibited the clearest resolution and strongest supports; and among the algorithms employed, the Bayesian analysis usually showed the most robust phylogeny (Table 4). Thus, the Bayesian tree constructed from the seven-gene data set was used as the primary basis for lineage and clade recognition and definition, and as the starting point for the subsequent comparison and discussion. The phylogenetic trees inferred from the rDNA data set containing all the taxa employed in this study were used as references to judge the phylogenetic positions of a minority of taxa which were absent in the seven-gene tree because of failure in sequencing of the protein coding genes.

Table 4.

Monophyletic clades resolved in tremellomycetous yeasts and dimorphic taxa based on different data sets using different algorithms.

Lineage/Clade RPB1
RPB2
TEF1
CYTB
rDNA
Seven-gene
PP/BP1/BP2 PP/BP1/BP2 PP/BP1/BP2 PP/BP1/BP2 PP/BP1/BP2 PP/BP1/BP2
Cystofilobasidiales nm/nm/nm 1.0/100/99 .90/64/70 nm/nm/nm 1.0/87/100 1.0/100/100
 Cystofilobasidium 1.0/100/100 1.0/100/99 nm/nm/nm nm/nm/nm 1.0/100/100 1.0/100/100
 Guehomyces S S S S 1.0/100/nm S
 huempii 1.0/100/100 1.0/100/100 1.0/100/100 1.0/100/99 1.0/100/100 1.0/100/100
 Itersonilia S 1.0/100/100 S S 1.0/100/100 1.0/100/100
 Mrakia 1.0/90/83 1.0/96/89 nm/nm/ns nm/nm/nm 1.0/100/100 1.0/100/100
 Udeniomyces 1.0/100/87 1.0/100/99 S 1.0/100/100 1.0/100/100
 Phaffia S 1.0/100/100 1.0/100/100 1.0/99/99 1.0/100/100 1.0/100/100
Filobasidiales 1.0/100/98 1.0/100/100 nm/nm/ns nm/nm/nm 1.0/83/98 1.0/100/100
 aerius 1.0/100/100 1.0/100/100 ns/nm/nm nm/nm/nm nm/nm/nm 1.0/100/85
 albidus 1.0/100/100 1.0/100/100 1.0/90/99 nm/nm/nm 1.0/94/99 1.0/100/100
 cylindricus 1.0/100/100 1.0/100/100 1.0/100/100 ns/55/ns 1.0/100/100 1.0/100/100
 Filobasidium 1.0/99/100 1.0/100/100 1.0/97/92 nm/nm/nm 1.0/100/100 1.0/100/100
 gastricus 1.0/100/99 1.0/100/98 nm/nm/nm nm/nm/nm 1.0/99/91 1.0/100/100
Holtermanniales 1.0/100/99 1.0/100/100 1.0/100/100 .99/66/ns 1.0/100/100 1.0/100/56
 Holtermanniella 1.0/62/78 1.0/100/100 1.0/100/100 nm/nm/nm 1.0/99/100 1.0/100/80
Tremellales/Trichosporonales 1.0/100/99 1.0/100/97 ns/ns/68 nm/nm/nm .99/99/nm 1.0/100/55
Tremellales nm/nm/nm .95/72/nm nm/nm/nm nm/nm/nm nm/nm/nm ns/nm/nm
 amylolyticus 1.0/83/84 1.0/100/100 1.0/97/88 1.0/99/99 1.0/100/100 1.0/100/100
 aurantia 1.0/62//99 1.0/100/100 ns/ns/63 nm/nm/nm nm/nm/nm 1.0/100/100
 aureus 1.0/100/100 1.0/100/100 .99/85/98 nm/nm/nm 1.0/100/100 1.0/100/100
 Auriculibuller ns/59/nm 1.0/100/100 ns/ns/89 1.0/94/64 1.0/100/nm 1.0/100/100
 Bandoniozyma 1.0/100/100 1.0/100/100 1.0/96/95 1.0/100/99 1.0/100/100 1.0/100/100
 Bulleribasidium .94/57/nm 1.0/67/56 nm/nm/nm nm/nm/nm 1.0/100/100 1.0/100/100
 Bulleromyces 1.0/100/100 S 1.0/94/98 1.0/99/99 1.0/100/100 1.0/100/100
 Cryptococcus 1.0/98/80 1.0/100/99 nm/nm/nm 1.0/85/92 1.0/100/100 1.0/100/100
 Derxomyces .93/ns/nm ns/ns/nm nm/nm/nm ns/ns/57 1.0/100/100 1.0/100/100
 dimennae 1.0/96/93 1.0/99/100/ nm/nm/nm nm/nm/nm 1.0/99/83 1.0/100/100
 Dioszegia 1.0/96/89 1.0/93/99 nm/nm/nm 1.0/98/99 1.0/100/100 1.0/100/100
 Fellomyces nm/nm/nm nm/nm/nm 1.0/69/63 S 1.0/87/98 1.0/64/nm
 Fibulobasidium 1.0/100/100 1.0/100/100 1.0/99/100 1.0/100/99 1.0/100/100 1.0/100/100
 flavus nm/nm/nm nm/nm/nm S/S/S 1.0/96/99 .99/83/98 .97/72/82
 foliacea 1.0/100/100 1.0/100/99 nm/nm/nm nm/nm/nm 1.0/100/100 1.0/100/100
 hannae 1.0/100/100 1.0/100/100 1.0/100/100 S 1.0/100/100 1.0/100/100
 Hannaella nm/nm/ns 1.0/99/95 nm/nm/nm 1.0/72/97 1.0/100/100 1.0/100/100
 Kockovaella 1.0/62/74 nm/nm/nm 1.0/100/99 nm/nm/nm 1.0/100/100 1.0/96/96
 Kwoniella 1.0/75/92 1.0/100/99 nm/nm/nm nm/nm/nm 1.0/100/100 1.0/100/100
 laurentii 1.0/100/99 1.0/100/69 .97/ns/nm nm/nm/nm 1.0/100/92 1.0/100/100
 melastomae 1.0/96/98 S 1.0/96/98 1.0/99/100 1.0/100/100
 moriformis S S S S 1.0/100/95 S
 Papiliotrema 1.0/100/100 1.0/100/100 1.0/95/97 1.0/99/99 1.0/100/nm 1.0/100/100
 pseudoalba .98/89/96 1.0/100/98 1.0/75/59 .97/100/99 .96/89/nm 1.0/100/100
 Tremella 1.0/100/99 1.0/100/100 nm/nm/nm nm/nm/nm 1.0/100/99 1.0/100/55
Trichosporonales 1.0/95/65 0.92/ns/nm nm/nm/ns nm/nm/nm nm/nm/nm 1.0/100/100
 gracile/brassicae .90/61/nm 1.0/97/91 nm/nm/nm ns/ns/nm 1.0/98/100 1.0/100/100
 cutaneum .96/ns/76 ns/ns/61 nm/60/86 nm/nm/nm 1.0/100/100 1.0/100/98
 formosensis 1.0/100/99 1.0/100/95 1.0/92/66 1.0/100/99 1.0/100/100 1.0/100/100
 Vanrija 1.0/100/100 1.0/100/100 1.0/100/100 1.0/98/99 1.0/97/77 1.0/100/100
 haglerorum nm/ns/nm nm/ns/nm nm/nm/ns nm/nm/nm 1.0/91/100 1.0/78/91
 porosum ns/80/100 1.0/100/100 1.0/51/86 nm/nm/nm 1.0/100/100 1.0/100/100



 Trichosporon 1.0/100/99 1.0/100/100 1.0/100/99 nm/nm/nm 1.0/100/100 1.0/100/100

Note. PP, Bayesian posterior probability; BP1 and BP2, bootstrap values from the maximum likelihood and neighbour-joining analyses, respectively; nm: not monophyletic; ns, not supported (PP < 0.9 or BP < 50 %); S: single species clade. Data sets that produce both significant PP (≥0.95) and BP (≥70 %) values have dark grey shaded cells; and data sets that produce either a significant PP or BP support value have light grey shaded cells.

Major lineages recognised among tremellomycetous yeasts

In the Bayesian tree constructed from the seven-gene data set, five lineages corresponding to the orders Tremellales, Trichosporonales, Filobasidiales and Cystofilobasidiales recognised by Boekhout et al. (2011) and the order Holtermanniales proposed by Wuczkowski et al. (2011) were resolved (Table 4, Fig. 1). The posterior probability for each of the Trichosporonales, Holtermanniales, Filobasidiales and Cystofilobasidiales lineages was 1.0. The support for the Tremellales was weak (PP = 0.51) when the basal foliacea clade of the lineage formed by Cryptococcus fagi, C. skinneri, C. spencermartinsiae, and Tremella foliacea was included. However, when this clade was not included, the Tremellales taxa formed a well-supported lineage with a PP value of 1.0 (Fig. 1).

Fig. 1.

Fig. 1

An outline of the phylogeny of tremellomycetous yeasts and dimorphic taxa inferred from a seven-gene data set including sequences of three rDNA genes, RPB1, RPB2, TEF1 and CYTB. The tree backbone is constructed using Bayesian analysis. Branch lengths are scaled in terms of expected numbers of nucleotide substitutions per site. The Bayesian posterior probabilities (PP) and bootstrap percentages (BP) of maximum likelihood and neighbour-joining analyses from 1 000 replicates are shown respectively from left to right on the deep and major branches resolved. Note: ns, not supported (PP < 0.9 or BP < 50 %); nm, not monophyletic.

The five lineages were also clearly recognised in the ML and NJ trees constructed from the seven-gene data set (Table 4, Fig. 1), though the statistic support values varied. The Cystofilobasidiales, Filobasidiales, and Trichosporonales lineages received 100 % bootstrap supports, while the Holtermanniales received a moderate bootstrap support (56 %) in the NJ tree, but a strong support (100 % BP) in the ML tree. In the ML tree, the foliacea clade was located basal to the Trichosporonales lineage. In the NJ tree, the foliacea clade was located basal to the Trichosporonales and Tremellales lineages, but the bootstrap support for this topology was weak (Fig. 1).

Cystofilobasidiales

The species of the Cystofilobasidiales clustered into seven well-supported clades in the Bayesian tree drawn from the seven-gene data set (Table 4, Fig. 2), being in agreement with Boekhout et al. (2011). Each of the clades was strongly supported with a posterior probability of 1.0. The Mrakia clade contained all the Mrakia and Mrakiella species, except Mrakia curviuscula that formed a separated clade together with Cryptococcus huempii. Three of the four currently recognised Udeniomyces species formed the Udeniomyces clade, while the other species of the genus, U. pannonicus, formed a clade together with Itersonilia perplexans. All six recognised Cystofilobasidium species clustered together in a single clade. Phaffia rhodozyma CBS 5905T and its proposed teleomorph, Xanthophyllomyces dendrorhous CBS 7918T, formed a well separated clade, but the type strains of the two taxa differ clearly in protein gene sequences, suggesting that they may represent different species. Previous studies showed that Guehomyces pullulans CBS 2532T and Tausonia pamirica CBS 8428T clustered together (Boekhout et al., 2011, Fell and Guého-Kellermann, 2011, Sampaio, 2011b). Unfortunately, due to the unsuccessful amplification and sequencing of the protein genes of T. pamirica CBS 8428T, this species was not included in the seven-gene data set. However, in the tree drawn from the rDNA data set, CBS 2532T and CBS 8428T formed a well-supported clade (Fig. 3). The seven clades were also all recognised and well-supported with bootstrap value of 100 % in the trees drawn from the ML and NJ analyses (Table 4).

Fig. 2.

Fig. 2

The phylogenetic relationships among species of the Cystofilobasidiales inferred from a seven-gene data set including sequences of three rDNA genes, RPB1, RPB2, TEF1 and CYTB. The tree backbone is constructed using Bayesian analysis. The Bayesian posterior probabilities (PP) and bootstrap percentages (BP) of maximum likelihood and neighbour-joining analyses from 1 000 replicates are shown respectively from left to right on the deep and major branches and clades resolved. Note: nm, not monophyletic; ns, not supported (PP < 0.9 or BP < 50 %).

Fig. 3.

Fig. 3

Phylogeny of tremellomycetous yeasts and dimorphic taxa based on the rDNA data set containing ITS, D1/D2, and SSU rDNA sequences. The tree backbone is constructed using Bayesian analysis. The Bayesian posterior probabilities (PP) and bootstrap percentages (BP) of maximum likelihood and neighbour-joining analyses from 1 000 replicates are shown respectively from left to right on the deep and major branches and in brackets following the clades resolved. Notes: nm, not monophyletic; ns, not supported (PP < 0.9 or BP < 50 %).

Filobasidiales

Bayesian analysis on the seven-gene data set recognised five strongly supported clades within the Filobasidiales, namely aerius, albidus, cylindricus, Filobasidium, and gastricus, being largely in agreement with Boekhout et al. (2011) (Fig. 4). The albidus clade containing 17 Cryptococcus species and varieties was clearly separated from the rest of the Filobasidiales. The Filobasidium clade contained four teleomorphic Filobasidium species including the type species of the genus, F. floriforme, and five Cryptococcus species. The affinity of F. uniguttulatum to this clade was not supported in Boekhout et al. (2011) and Weiß et al. (2014), but this study clearly showed that this species belongs to the Filobasidium clade with 1.0 posterior probability and 100 % bootstrap supports. This species was located in a basal branch of the Filobasidium clade together with C. wieringae (Fig. 4).

Fig. 4.

Fig. 4

The phylogenetic relationships among species of the Filobasidiales inferred from a seven-gene data set including sequences of three rDNA genes, RPB1, RPB2, TEF1 and CYTB sequences. The tree backbone is constructed using Bayesian analysis. The Bayesian posterior probabilities (PP) and bootstrap percentages (BP) of maximum likelihood and neighbour-joining analyses from 1 000 replicates are shown respectively from left to right on the deep and major branches and clades resolved. The branches ending with a filled cycle and a diamond represent single-species clades with a stable and unstable position, respectively. Note: nm, not monophyletic.

The gastricus clade contained six Cryptococcus species, including three species isolated from acid rock drainage (ARD) from a pyrite mine in Portugal. The three Cryptococcus species were recognised as the ARD ecoclade (Gadanho & Sampaio 2009). This ecoclade was supported by Bayesian and ML analyses based on the seven-gene data set, but not by NJ analysis. Therefore, we included this ecoclade in the gastricus clade.

The aerius and cylindricus clades contained seven and two Cryptococcus species in the seven gene tree, respectively (Fig. 4). Analyses based on the rDNA data set showed that Bullera taiwanensis, whose protein gene sequences were not successfully determined, also clustered in the cylindricus clade with strong statistical supports (PP = 1.0) (Table 4, Fig. 3). The two clades together with Filobasidium capsuligenum, which represent a separate monotypic clade, formed a well-supported lineage (PP = 1.0; BP > 95 %). Cryptococcus arrabidensis was not included in any of the clades recognised in the Filobasidiales and remained as a separate branch in the trees constructed using different algorithms (Fig. 4).

Holtermaniales

Five anamorphic Holtermanniella species proposed by Wuczkowski et al. (2011) and the teleomorphic species Holtermannia corniformis were included in this small lineage (Fig. 5). This lineage was well separated from other groups of tremellomycetous yeasts and strongly supported in the seven-gene Bayesian and ML trees, though it was weakly supported in the NJ tree. Holtermannia corniformis was located as a basal branch in this lineage and its affinity with the Holtermanniella species was weakly supported by NJ analysis (Fig. 5), implying that this teleomorphic species may represent a distinct clade.

Fig. 5.

Fig. 5

The phylogenetic relationships among species of the Trichosporonales and Holtermaniales inferred from a seven-gene data set including sequences of three rDNA gene, RPB1, RPB2, TEF1 and CYTB sequences. The tree backbone is constructed using Bayesian analysis. The Bayesian posterior probabilities (PP) and bootstrap percentages (BP) of maximum likelihood and neighbour-joining analyses from 1 000 replicates are shown respectively from left to right on the deep and major branches resolved. The branches ending with filled cycles and diamonds represent single-species clades with a stable and unstable position, respectively. Note: nm, not monophyletic; ns, not supported (PP < 0.9 or BP < 50 %).

Trichosporonales

Seven well-supported clades with multiple species and seven single species clades were recognised in this order (Table 4, Fig. 5). The Trichosporon species were separated into four clades, namely cutaneum, gracile, porosum, and Trichosporon (also referred to as ovoides), supporting the classification of Middelhoven et al. (2004). The brassicae clade recognised in Sugita et al., 2004, Boekhout et al., 2011 and Sugita (2011) was also resolved in the Bayesian and ML trees based on the seven-gene data set, however, its separation from the gracile clade was only weakly supported in the seven-gene NJ tree. Furthermore, the distinction of the two clades was not supported in the Bayesian tree drawn from the rDNA data set. Therefore, we combined these two clades into a single clade. Among the Trichosporon species employed in this study, T. chiarellii could not be assigned to any clade. Trichosporon guehoae, whose protein gene sequences were not successfully amplified, was also located in a single branch in the tree drawn from the rDNA data set (Fig. 3).

In addition to the Trichosporon species, seven Cryptococcus, three Bullera and five Vanrija species and the monotypic genus Cryptotrichosporon (Okoli et al. 2007) were included in the Trichosporonales lineage (Table 1, Fig. 5). The genus Vanrija which was recently reinstalled by Weiß et al. (2014) for the five Cryptococcus species in the humicola clade recognised before (Boekhout et al., 2011, Fonseca et al., 2011) was confirmed to be a monophyletic group (Fig. 5). Two Cryptococcus species, C. arboriformis and C. haglerorum, formed the haglerorum clade which were resolved and well-supported in the seven-gene and the rDNA trees (Table 3, Fig. 3, Fig. 5). Other four Cryptococcus species, C. curvatus, C. daszewskae, C. fragicola, and C. marinus, occurred in single species branches. The three Bullera species formed a basal formosensis clade with strong statistical support (Table 4, Fig. 5). The thermotolerant species Cryptococcus tepidarius was located in this clade with a close relationship to B. lagerstroemiae based on rDNA sequence analysis (Fig. 3), being in agreement with Takashima et al. (2009). The protein gene sequences of C. tepidarius were not successfully determined. A close phylogenetic relationship of the formosensis clade with Cryptococcus marinus and Cryptotrichosporon anacardii was shown in the seven-gene Bayesian and ML trees, but the latter two species were located in separate clusters in the NJ tree (Fig. 5). In the trees drawn from the rDNA and single protein gene data sets, these two species did not cluster together, suggesting they represent different clades.

The affinity of Cryptococcus marinus within the Trichosporonales was strongly supported in the seven gene tree. It was located in a basal cluster of the order together with the formosensis clade and Cryptotrichosporon anacardii with strong support values from the Bayesian and ML analyses, but its phylogenetic position was not resolved by the NJ analysis (Fig. 5).

Tremellales

The majority of the taxa employed in this study belong to this lineage. Most of the clades recognised in Boekhout et al. (2011) were confirmed here with improved resolution and stronger support values. While most of the species can be assigned into clear clades, some remained undetermined and the boundaries of some clades need to be examined further.

Twenty five well-supported clades were recognised among the 160 strains included in the Bayesian tree drawn from the seven-gene data set (Table 1, Table 4, Fig. 6). Five recently proposed or redefined genera based on molecular phylogenetic analyses were confirmed as monophyletic groups, including Bandoniozyma (Valente et al. 2012), Bulleribasidium/Mingxiaea (Sampaio et al., 2002, Wang et al., 2011), Derxomyces, Dioszegia, and Hannaella (Takashima et al., 2001, Wang and Bai, 2008). Each of these clades received a posterior probability value of 1.0 in the Bayesian tree and bootstrap values of 100 % in the ML and NJ trees drawn from the seven-gene data set, respectively (Table 4, Fig. 6). These clades were also clearly resolved in the analyses using the rDNA and single protein gene data sets (Table 4).

Fig. 6.

Fig. 6

Fig. 6

The phylogenetic relationships among species of the Tremellales inferred from a seven-gene data set including sequences of three rDNA genes, RPB1, RPB2, TEF1 and CYTB sequences. The tree backbone is constructed using Bayesian analysis. The Bayesian posterior probabilities (PP) and bootstrap percentages (BP) of maximum likelihood and neighbour-joining analyses from 1 000 replicates are shown respectively from left to right on the deep and major branches resolved. The branches ending with filled cycles and diamonds represent single-species clades with a stable and unstable position, respectively. Note: nm, not monophyletic; ns, not supported (PP < 0.9 or BP < 50 %).

In addition to the monotypic teleomorphic genus Cuniculitrema, the Cuniculitremaceae designated by Kirschner et al. (2001) contained Fellomyces and Kockovaella species. The species of the latter two anamorphic genera clustered into a well-supported cluster. However, two subclades represented by the type species of the two genera, F. polyborus and K. thailandica, respectively, could be recognised in the seven-gene Bayesian and ML trees (Fig. 6). The two subclades were also resolved in the NJ tree, with F. horovitziae being located as a basal branch to the two subclades. In the Bayesian and ML trees, this species was basal to the Fellomyces subclade with a PP and BP value of 1.0 and 64 %, respectively (Fig. 6).

The phylogenetic relationships among the species tentatively assigned to the Bulleromyces/Papiliotrema/Auriculibuller group by Boekhout et al. (2011) were resolved in this study (Fig. 6). The teleomorphic species Bulleromyces albus and three anamorphic Bullera species occurred in a distinct group with two clades being recognised, namely the Bulleromyces clade containing the anamorphic species Bullera unica, and the hannae clade formed by B. hannae and B. penniseticola. However, in the trees drawn from the rDNA data set, the close relationship of the two clades was not resolved (Fig. 3).

The monotypic teleomorphic genera Papiliotrema and Auriculibuller formed a well-supported group with one Bullera and 10 Cryptococcus species. This group showed a close relationship to the Bandoniozyma clade with strong support (Fig. 6). Five clades were recognised in this group (Table 4, Fig. 6). The Papiliotrema clade contained two other Cryptococcus species, namely C. nemorosus and C. perniciosus; C. taeanensis showed a close affinity to the Auriculibuller clade. The pseudoalba clade contained a Bullera species and two Cryptococcus species, C. anemochoreius and C. cellulolyticus. The laurentii and the aureus clades contained two and three Cryptococcus species, respectively.

Four recently described Cryptococcus species with orange coloured colonies (Inácio et al., 2005, Wang et al., 2007, Landell et al., 2009) clustered together in a well-supported amylolyticus clade. Two Bullera species described from Taiwan (Nakase et al. 2004), which were assigned to the Dioszegia clade in Boekhout et al. (2011), formed a distinct melastomae clade closely related with the Dioszegia clade. Other clearly supported clades consisting of species with only or mainly yeast forms were the Cryptococcus, dimennae, and Kwoniella clades. The dimennae clade, which was also resolved by Boekhout et al. (2011) but was referred to as the victoriae clade by Fonseca et al. (2011), consisted of six Cryptococcus species and one Bullera species (B. globispora). In addition to the teleomorphic species Kwoniella mangroviensis, five Cryptococcus and one Bullera species were included in the Kwoniella clade. The opportunistically pathogenic species in the Cryptococcus neoformans complex and their teleomorphs were included in the Cryptococcus clade together with Filobasidiella depauperata, C. amylolentus and Tsuchiyaea wingfieldii.

The Tremella species employed in the present study separated into different clades. Ten of them, including the type species of the genus, T. mesenterica, clustered in the Tremella clade. No species with mainly yeast forms in their life cycle were located in this clade. Three Tremella species formed the aurantia clade. Tremella moriformis was located in a group containing two Cryptococcus species (C. allantoinivorans and C. mujuensis) and Sirobasidium intermedium, a teleomorphic species. This group, which was tentatively included in the Bulleromyces/Papiliotrema/Auriculibuller group in Boekhout et al. (2011), was also resolved as a separate group in the ML and NJ trees with 93–98 % bootstrap supports (Fig. 6). However, C. mujuensis and S. intermedium were separated from the other species of this group in the tree drawn from the rDNA data set (Fig. 3, Fig. 7). With the consideration that the four species in this group exhibit quite different morphological characters from each other, they were regarded as representing four separate single species clades. Tremella nivalis and T. moriformis formed the moriformis clade with 1.0 PP and with over 95 % bootstrap support in the tree drawn from the rDNA sequence data set (Fig. 3). Another Sirobasidium species employed in this study, S. magnum, was located in a branch basal to the Fibulobasidium clade (Fig. 3, Fig. 6). Tremella foliacea and two Cryptococcus species (C. fagi and C. skinneri) clustered in the foliacea clade, which was located at the basal position of the Tremellales lineage in the seven-gene Bayesian tree (Fig. 5). The rDNA tree showed that T. neofoliacea was also located in this clade (Fig. 3).

Fig. 7.

Fig. 7

Phylogeny of tremellomycetous yeasts and dimorphic taxa based on 5.8S and LSU D1/D2 rDNA sequences from strains employed in this study and 26 more Tremella species employed in Millanes et al. (2011). The tree backbone is constructed using Bayesian analysis. The Bayesian posterior probabilities (PP) and bootstrap percentages (BP) of maximum likelihood and neighbour-joining analyses from 1 000 replicates are shown respectively from left to right on the deep and major branches and in brackets following the clades resolved. The species names in red represent fruiting-body forming taxa and those with a star superscript indicate that the sequences are from herbarium specimens of lichen-inhabiting species. Note: nm, not monophyletic; ns, not supported (PP < 0.9 or BP < 50 %).

Another group containing both yeast and filamentous taxa is the Trimorphomyces group. Two Bullera species and three Cryptococcus species were located in this group together with Trimorphomyces papilionaceus, a basidiocarp-forming species with a yeast state (Fig. 6). T. papilionaceus was regarded as representing a distinct clade because of its unique sexual reproductive structures (Bandoni and Boekhout, 2011, Boekhout et al., 2011). The three Cryptococcus species, C. flavus, C. paraflavus and C. podzolicus, were assigned to the flavus clade since they clustered together in the seven-gene and rDNA Bayesian trees with 0.97–0.99 PP supports (Fig. 3, Fig. 6). The two Bullera species in this group, B. sakaeratica and B. miyagiana, was separated by T. papilionaceus in the seven-gene and the rDNA trees (Fig. 3, Fig. 6). Therefore, they were regarded as representing two different single species clades.

The following species in the Tremellales lineage, Bullera arundinariae, Cryptococcus cistialbidi, Cryptococcus spencermatinsiae, Cuniculitrema polymorpha, and Tremella giraffe, could not be assigned to any recognised clade or group, because of their unstable or unresolved phylogenetic positions, or their unique phenotypic characters. Bullera arundinariae and C. cistialbidi were located as basal branches to the aurantia clade formed by four Tremella species in the seven-gene Bayesian tree (Fig. 6). While the close relationship of C. cistialbidi to the aurantia clade was consistent in different trees, B. arundinariae was located in different positions in the seven-gene NJ tree and the trees resulting from the rDNA data set (Fig. 3, Fig. 6). Cryptococcus spencermartinsiae was located in a branch basal to the foliacea clade with strong statistical support in the Bayesian and ML trees drawn from the seven-gene data set, but the species was located at a different position in the seven-gene NJ tree and the trees drawn from the rDNA data set (Fig. 3, Fig. 6). The teleomorphic species Cuniculitrema polymorpha (anamorph: Sterigmatosporidium polymorphum) was located in a branch basal to the Fellomyces/Kockovaella group. Tremella giraffa was located as a basal branch to the amylolyticus clade in the seven-gene tree with weak to moderate support values (Fig. 6), but its position was not resolved in the rDNA tree (Fig. 3).

In order to investigate further the relationships of yeasts with filamentous taxa in the Tremellomyetes, we retrieved the 5.8S and LSU rDNA sequences of 26 lichen-inhabiting Tremella species employed in Millanes et al. (2011) that were absent in the current data set. These sequences were determined from herbarium specimens (Millanes et al. 2011). The Bayesian tree obtained from the combined 5.8S and LSU D1/D2 rDNA sequence data set showed a largely identical topology with that obtained from the seven-gene data set and the five major lineages were also clearly resolved (Fig. 7). The majority of the additional 26 Tremella species were located in clades I, II and III as defined by Millanes et al. (2011) which mainly contained lichen-inhibiting Tremella species; one in the aurantia clade containing Tremella taxa only; three in the foliacea clade containing both Tremella and Cryptococcus species; and one in the Trimorphomyces group (Fig. 7).

Discussion

In this study, we inferred the phylogeny of basidiomycetous yeasts and related dimorphic and filamentous basidiomycetes in the Tremellomycetes based on analyses of seven gene sequences using different phylogenetic algorithms. The majority of the yeast taxa and dimorphic basidiomycetes that have free-living unicellular states in their life cycles in the Agaricomycotina were employed. Five major lineages corresponding to the five orders currently recognised in the Tremellomycetes (Boekhout et al., 2011, Millanes et al., 2011, Weiß et al., 2014) were resolved. A total of 45 strongly supported monophyletic clades with multiple species and 23 single species clades were recognised. This phylogenetic framework will be the basis for an improved modern taxonomy unifying both yeast-like and filamentous species in the Tremellomycetes as well as anamorphs and teleomorphs occurring in this class. The result is also helpful for a better understanding of the evolution of characters and different life styles by integrating the phylogeny with biochemical, morphological and reproductive characteristics of unicellular, dimorphic and filamentous basidiomycetes in the Tremellomycetes.

Congruence of phylogenies inferred from analyses using different algorithms and data sets

Almost all currently recognised teleomorphic and anamorphic yeast species and dimorphic taxa in the Agaricomycotina were obtained from culture collections and revived for DNA isolation and PCR amplification in this study. Despite our best effort to obtain a complete sequence data set for all the genes and strains employed, the sequence of some genes, especially the nuclear protein-coding genes and the mitochondrial gene CYTB, could not be determined for a small percentage of strains because of failure in the PCR amplification or sequencing reactions. Specifically, 8.8 %, 8.1 %, 16.2 % and 17.2 % of the total 297 strains employed failed in the sequence determination of the RPB1, RPB2, TEF1 and CYTB genes, respectively. This problem is known from all groups of fungi (Schoch et al. 2012). A previous study has shown that an inferred phylogeny is not sensitive to 25 % or even 50 % missing data for a sufficiently large alignments (e.g., ∼30 000 positions and 36 species) (Philippe et al. 2004). Though the length of the seven-gene alignment in this study is only about 6 300 positions, the amount of missing data is also much less. Thus, we assume that the relative minor amount of missing data in our study will not significantly influence the reliability of the resulting phylogeny.

The phylogenies of the taxa compared in this study were inferred from analyses using different data sets and algorithms. The topologies of the trees constructed using different algorithms performed on different data sets were largely congruent as examined visually, which make the delimitation of major lineages and clades more clear and confident. In addition to the Clustal X, we also used the MAFFT program (Katoh & Standley 2013) to align the sequences and the alignments generated were subjected to ML analysis. The topologies of the trees obtained from the Clustal X and the MAFFT alignments were almost the same (data not shown). This further supports the notion that our inferred trees are reliable and not greatly influenced by the missing data as discussed above.

Bayesian analysis is usually believed to be more reliable compared to parsimony and neighbour-joining methods, especially for an extensive sampling with a high divergence occurring among the sequences (Alfaro et al., 2003, Holder and Lewis, 2003, James et al., 2006). As expected, the Bayesian analysis of the seven-gene data set showed the most robust phylogeny among the analyses performed (Table 4). However, analyses aiming at comparing Bayesian and ML supports have revealed that PP and BP values show significant correlation, but the strength of this correlation is highly variable and sometimes very low. ML BP values are generally lower than PP values, and thus, ML BP might be less prone to strongly supporting a wrong phylogenetic hypothesis (Douady et al. 2003). Therefore, the boundaries of the lineages and clades recognised in this study were determined based not only on Bayesian analysis, but also on ML and NJ analyses, aiming to recognize reliable monophyletic groups.

Conflicts between phylogenies obtained from rDNA and protein-coding gene sequences have been observed in different studies on basidiomycetes (Matheny et al., 2002, Froslev et al., 2005, Matheny, 2005, Matheny et al., 2006, Matheny et al., 2007). However, in this study, the topologies of the trees and the clades resolved from the data sets of RPB1 and RPB2 were similar to those obtained from the rDNA data set (Table 4), except for the position of the Trichosporonales which was nested into the Tremellales in the RPB1-based phylogeny. Furthermore, RPB1 and RPB2 had an equivalent resolution power in the Cystofilobasidiales and Filobasidiales lineages. The Holtermanniales lineage was supported strongly (100 % BP) by the ML algorithm in the RPB2-based phylogeny but only received moderate support (62 % BP) in the RPB1-based phylogeny. The RPB1 and RPB2-based phylogenies constructed from Bayesian analysis supported the same number of clades in the Tremellales, while the RPB1-based phylogeny constructed from ML or NJ analyses resolved one more clade if compared to the RPB2-based phylogeny. The RPB1 and RPB2-based phylogenies drawn from Bayesian and ML analyses also resolved the same number of clades in the Trichosporonales. The TEF1 and CYTB sequences showed less parsimony-informative characters for the inference of phylogenetic relationship in the tremellomycetous yeasts compared to the RPB1 and RPB2 sequences. The TEF1 and CYTB data sets generated the lowest resolution across the Bayesian, ML and NJ trees, in which only 19 and 16 strongly supported clades were resolved with high BP and PP values, respectively (Table 4). The TEF1 and CYTB data sets were unable to resolve higher level taxonomic relationships, such as the five orders in the Tremellomycetes, and they did not show strong support to some clades, such as the Cystofilobasidium, Derxomyces, foliacea, Hannaella, Kwoniella, and Trichosporon clades, which were strongly supported by the analyses based on the other data sets. Our results suggest that RPB1 and RPB2 are more useful to infer reliable phylogeny of tremellomycetous yeasts than the TEF1 and CYTB genes. A previous study of basidiomycetes phylogeny also showed that the major clades at higher and lower taxonomic levels were more clearly resolved based on RPB2 than on TEF1 sequence data (Matheny et al. 2007).

More robust topologies and higher resolution were achieved in this study than those obtained in previous studies based on the LSU rDNA D1/D2 domains or ITS-5.8S sequences (Fell et al., 2000, Scorzetti et al., 2002, Boekhout et al., 2011). The consensus is that the major groups recognised in the previous studies were confirmed in the present study. Fell et al. (2000) studied 171 hymenomycetous yeast strains representing 116 species. They recognised four major lineages including the Cystofilobasidiales, Filobasidiales, Tremellales and Trichosporonales. However, the clades within each lineage were largely unresolved. In addition to the four major lineages, Scorzetti et al. (2002) recognised clades within each lineage. Most of the clades recognised in the Cystofilobasidiales, Filobasidiales and Trichosporonales were in agreement to those recognised in this study. However, the fine phylogenetic relationships among the taxa in the Tremellales remained largely unresolved in the previous studies. Boekhout et al. (2011) employed more strains and designated a fifth lineage containing the Holtermanniella clade and a teleomorphic species Holtermannia corniformis that was described as a separate order (Wuczkowski et al. 2011). Our study confirmed this fifth lineage as a separate order Holtermanniales with 1.0 PP and 100 % ML BP supports. The phylogenetic position of Cryptococcus marinus has been debated. It was considered to belong to the Tremellales according to a phylogenetic analysis of SSU rDNA sequences (Takashima & Nakase 1999). The phylogenetic position in the LSU rDNA D1/D2 tree suggested that this species may represent a separate order within the Tremellomycetes (Scorzetti et al., 2002, Fonseca et al., 2011, Weiß et al., 2014). However, the affinity of this species with the Trichosporonales lineage was strongly supported in this study (Fig. 5).

The major lineages and clades recognised in this study are similar to those recognised in Millanes et al. (2011) and Weiß et al. (2014), which sampled more teleomorphic and filamentous taxa in the Tremellomycetes. In their molecular phylogenetic study on the jelly fungi based on nuclear SSU, 5.8S and LSU rDNA sequences, Millanes et al. (2011) employed three more teleomorphic genera Biatoropsis, Syzygospora and Tetragoniomyces, but limited yeast taxa. In addition to the teleomorphic genera employed in Millanes et al., 2011, Weiß et al., 2014 listed seven other teleomorphic genera that were not employed in our study, including Carcinomyces, Rhynchogastrema, Phyllogloea, Phragmoxenidium, Sigmogloea, Sirotrema, and Xenolachne in the Tremellomycetes. However, the latter five genera were not included in their phylogenetic analysis based on LSU D1/D2 sequences, because no DNA data were available from these genera. In the trees presented in Millanes et al. (2011) and Weiß et al. (2014), the species of the teleomorphic and filamentous genera that were not included in this study were located in separated clades from those formed by yeast taxa.

Correlation between morphology, physiology and molecular phylogeny

Because of the morphological simplicity, it is not easy to find morphological characters that distinguish the five major lineages of tremellomycetous yeasts recognised by molecular phylogenetic analyses. Teleomorphic taxa belonging to the Tremellales usually form tremella-type basidia, e.g., phragmobasidia with longitudinal primary septa; whereas those of the Cystofilobasidiales and Filobasidiales are usually characterised by forming holobasidia (Wells and Bandoni, 2001, Boekhout et al., 2011). However, some species with holobasidia or transversely septate basidia, like Auriculibuller fuscus (Sampaio et al. 2004), Papiliotrema bandonii (Sampaio et al. 2002), Tremella fuciformis, T. hypogymniae (Millanes et al. 2011) and Bulleribasidium oberjochense (Sampaio et al. 2002) are also present in Tremellales. These observations show that different types of basidial septation can coexist in the same lineage. The sexual stage of the Trichosporonales species has not yet been observed. The majority of the species in this order are characterised by forming abundant true hyphae that disarticulate into arthroconidia. However, the filamentous species Tetragoniomyces uliginosus which was tentatively assigned to the Trichosporonales in Millanes et al. (2011) and Weiß et al. (2014) forms basidia in pustulate basidiocarps (Oberwinkler & Bandoni 1981).

The species in the genera Fellomyces and Kockovaella share a special morphological character of forming conidia on stalks (Nakase et al. 1991). These species were located together in a cluster with strong PP and ML BP supports (Fig. 6). The affinity of F. horovitziae to the Fellomyces clade was weakly supported in ML analysis and not supported in NJ analysis. We tentatively assign F. horovitziae to the Fellomyces clade with the consideration of minimising name changes in the subsequent taxonomic treatment.

The ability to form ballistoconidia has since long been shown to be an unreliable phylogenetic marker (Nakase et al. 1993). This observation is confirmed by the intermixture of species of the ballistoconidia-forming genera Bullera and Kockovaella with those of non ballistoconidia-forming genera Cryptococcus and Fellomyces. However, the morphology of ballistoconidia seems to be phylogenetically relevant. Ballistoconidia formed by species in the Cystofilobasidiales and Trichosporonales are usually bilaterally symmetrical, whereas those formed by species in the Tremellales and Filobasidiales are usually rotationally symmetrical (Boekhout et al. 2011).

Within the Tremellales, some clades may be distinguished by colony morphology. For example, the anamorphic genera Derxomyces, Hannaella and Dioszegia are closely related, but are distinguishable by forming whitish to yellowish colonies with a butyrous texture, whitish colonies with a highly mucoid texture, and orange-coloured colonies with a butyrous texture, respectively (Wang & Bai 2008). The two Bullera species in the melastomae clade were assigned to the Dioszegia clade by Boekhout et al. (2011). However, they are morphologically different by forming yellowish to brownish colonies compared to the orange-coloured colonies of Dioszegia species (Takashima et al., 2001, Wang and Bai, 2008).

The physiological and biochemical differences among the major lineages are also quite elusive, though some trends have been observed (Sampaio and Fonseca, 1995, Sampaio, 2004). The majority of the Cystofilobasidiales and Filobasidiales species can utilise nitrate; whereas the Tremellales and Trichosporonales taxa are usually nitrate negative. The coenzyme Q (CoQ) system has been used as an important taxonomic criterion at the genus level in yeasts (Yamada & Kondo 1973). The major CoQ systems of the tremellomycetous yeasts are CoQ-8, CoQ-9 and CoQ-10 (Fell, 2011, Fell and Guého-Kellermann, 2011, Sampaio, 2011a, Sampaio, 2011b). The taxa with CoQ-8 are concentrated in the Cystofilobasidiales. The species within a strongly supported clade usually possess the same major CoQ type, which may be helpful to recognize and define homogenous clades. The species with the ability to ferment sugars, a rare trait among basidiomycetous yeasts, are concentrated in a few clades in the Cystofilobasidiales (Mrakia and Phaffia/Xanthophyllomyces) and Tremellales (Bandoniozyma). One species in the Filobasidiales, Filobasidium capsuligenum, can also ferment glucose and maltose, while the other known Filobasidium species can not ferment glucose (Kwon-Chung 2011). F. capsuligenum was separated from the Filobasidium clade and located in a branch closely related with the cylindricus clade containing two Cryptococcus species with strong PP and BP supports (Fig. 4). Ultrastructurally, F. capsuligenum is also special by having cone-shaped vesicular parenthesomes (Moore & Kreger-van Rij 1972). Thus, we recognised this species as representing a distinct clade. Consequently, the cylindricus clade and the closely related aerius clade were recognised as separate clades.

Serological characteristics of Trichosporon species correspond to some extent with their phylogenetic clustering. Species in the cutaneum, Trichosporon and brassicae clades have serotypes I, II and III, respectively, while species in the gracile and porosum clades have serotype I-III, which is a serotype that reacts to both antisera I and III (Ikeda et al., 1996, Sugita and Nakase, 1998, Sugita et al., 2004, Sugita, 2011). However, the phylogenetic separation between the brassicae and gracile clades, which have different serotypes (III and I-III, respectively) was not supported in this study. The gracile and brassicae clades were recognised as separate clades based on D1/D2 rDNA sequence analyses and serological characteristics (Sugita et al., 2004, Boekhout et al., 2011, Sugita, 2011). However, both clades lacked bootstrap supports in the NJ trees drawn from D1/D2 sequences (Boekhout et al., 2011, Sugita, 2011). In this study, the monophyly of the gracile clades was not resolved and supported in the Bayesian tree drawn from the rDNA data set. Therefore, we combined the gracile and brassicae clades.

Life strategy evolution in Tremellomycetes

The multiple gene phylogeny of tremellomycetous yeasts is helpful for a better understanding on the evolution of different life styles and strategies. The tremellomycetous fungi present a high diversity of lifestyles, with many species being dimorphic, including both unicellular and filamentous growth forms (Bandoni, 1995, Sampaio, 2004, Boekhout et al., 2011). They are also nutritionally heterogeneous, comprising saprotrophs, animal parasites, and fungal-inhabiting (including lichen-inhabiting) species (Millanes et al., 2011, Weiß et al., 2014). A previous study on phylogeny and character evolution in tremellomycetous fungi based on three rDNA markers (nSSU, 5.8S and nLSU) showed that, in a broad sense, a specific life style or strategy is usually homoplastic; however, taxa with the same life strategy, for example, fungal- or lichen-inhabiting, usually form distinct clades (e.g., clades I, II and III in Millanes et al. (2011)). The results of this study also show that taxa with different life styles (e.g., dominated by unicellular and filamentous growth stages, respectively) usually form different clades, though clades with species having the same life styles may not be closely related.

This observation is also shown by the analysis based on an integrated 5.8S and LS D1/D2 sequence data set containing additional Tremella species as employed in Millanes et al. (2011). Though fruiting-body forming species were intermingled with yeast species throughout the Tremellales (Fig. 7), the former usually clustered into different groups from the latter. A few fruiting-body forming species, e.g., Papiliotrema bandonii, Tremella parmeliarum, T. polyporina, T. ramalinae, T. foliacea, and Trimorphomyces papilionaceus, were located in the same clusters together with some yeast taxa, but they usually formed distinct branches or clades. These results suggest that tremellomycetous fungi with the same life styles or nutritional strategies may be the result of convergent evolution as a result of early adaptation to different ecological niches or habitats.

Taxonomic consequences

As with many other groups of fungi, the taxonomic system of basidiomycetous yeasts needs to be updated to reflect the evolutionary relationships of the taxa concerned and to accommodate the requirements of the new nomenclatural code (McNeill et al. 2012). Based on the results of this study, we will propose an updated taxonomic system for tremellomycetous yeasts which will have the best approximation of the molecular phylogeny and that will be compatible with the current taxonomic system of filamentous basidiomycetes. A considerable number of genera need to be redefined to include only the species in the monophyletic clades that contain the type species of those genera, and, secondly, many new genera need to be proposed to accommodate monophyletic clades that do not include any generic type species. The names of many species will be changed due to the proposal of new genera and adaptation of the ‘one fungus = one name’ principle at this stage. We believe that this updated taxonomic system based on a reliable phylogeny and extensive phenotypical comparisons will be relatively stable and minimise the necessity of future name changes.

Acknowledgments

We thank Wendy Epping, Diana Vos and Hanslin Stasia from the CBS collection for retrieving the vast number of strains used during this study from the CBS collection. This study was supported by grants No. 31010103902, No. 30700001 and No. 30970013 from the National Natural Science Foundation of China (NSFC), KSCX2-YW-Z-0936 from the Knowledge Innovation Program of the Chinese Academy of Sciences and grant No. 10CDP019 from the Royal Netherlands Academy of Arts and Sciences (KNAW). TB is supported by grant NPRP 5-298-3-086 of Qatar Foundation. The authors are solely responsible for the content of this manuscript.

Footnotes

Peer review under responsibility of CBS-KNAW Fungal Biodiversity Centre.

Contributor Information

F.-Y. Bai, Email: baify@im.ac.cn.

T. Boekhout, Email: t.boekhout@cbs.knaw.nl.

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