Article Contents
ARTICLE   Open Access     Cite

How a fungal order Hymenochaetales diversified in China inferred from its spatiotemporal pattern

More Information
  • Corresponding author: liwei_zhou1982@im.ac.cn
  • DownLoad: Full size image
    1. The diversity indices of Hymenochaetales were generally higher in southern China with lower latitudes.

      The lineages in highly suitable habitats concentrated in the central to southern China were oldest.

      The Chinese ancestor was evaluated to originate 201.63 million years ago.

      The two ancient divergence hotspots of Hymenochaetales underwent different diversification scenarios.

      The differentiated diversification scenarios were correlated with local temperature and host plant density.

  • Spatiotemporal pattern of biodiversity is an indicator of evolutionary history, and provides crucial information for recognizing evolutionary process of life on the Earth over time and space. Here, we for the first time comprehensively analyze macrofungal spatiotemporal pattern in China at the order level taking Hymenochaetales as the exemplar. A total of 3950 occurrence records from all 490 known species in China are included, and the results indicate that species richness, weighted species endemism, phylogenetic diversity and phylogenetic endemism of Hymenochaetales were generally higher in southern China with lower latitudes. Accordingly, the predicted current highly suitable habitats for Hymenochaetales concentrated in the central to southern China, where the lineages of Hymenochaetales were older than those in habitats with other suitability levels. The Chinese ancestor of Hymenochaetales was evaluated to originate 201.63 million years ago with two ancient divergence hotspots. Since the origination, Hymenochaetales in southeastern China intensively diversified, while the other ancient divergence hotspot near Tianshan Mountains in the northwest of northwestern China underwent much less diversification. The differentiated fate of Hymenochaetales between these two ancient divergence hotspots was correlated with local temperature and host plant density. In summary, the current study revealed the diversification scenario of Hymenochaetales in China, and provided a leading demonstration for macrofungal macroevolution.
  • 加载中
  • [1] Xing Y.W. and Ree R.H. (2017). Uplift-driven diversification in the Hengduan Mountains, a temperate biodiversity hotspot. Proc. Natl. Acad. Sci. USA. 114:E3444−E3451. DOI:10.1073/pnas.1616063114

    View in Article CrossRef Google Scholar

    [2] Bai M., Zhou L.W., Tong Y.J., et al. (2023). Risk assessment and warning system for strategic biological resources in China. The Innovation Life 1:100004. DOI:10.59717/j.xinn-life.2023.100004

    View in Article CrossRef Google Scholar

    [3] Lu L.M., Mao L.F., Yang T., et al. (2018). Evolutionary history of the angiosperm flora of China. Nature 554:234−238. DOI:10.1038/nature25485

    View in Article CrossRef Google Scholar

    [4] Jin W.T., Gernandt D.S., Wehenkel C., et al. (2021). Phylogenomic and ecological analyses reveal the spatiotemporal evolution of global pines. Proc. Natl. Acad. Sci. USA. 118:e2022302118. DOI:10.1073/pnas.2022302118

    View in Article CrossRef Google Scholar

    [5] Fan H.Z., Liu T.Y., Chen Y.H., et al. (2024). Geographical patterns and determinants of insect biodiversity in China. Sci. China Life Sci. 67:1255−1265. DOI:10.1007/s11427-023-2483-0

    View in Article CrossRef Google Scholar

    [6] Xu W., Wu Y.H., Zhou W.W., et al. (2024). Hidden hotspots of amphibian biodiversity in China. Proc. Natl. Acad. Sci. USA. 121:e2320674121. DOI:10.1073/pnas.2320674121

    View in Article CrossRef Google Scholar

    [7] Garcia-Porta J., Irisarri I., Kirchner M., et al. (2019). Environmental temperatures shape thermal physiology as well as diversification and genome-wide substitution rates in lizards. Nat. Commun. 10:4077. DOI:10.1038/s41467-019-11943-x

    View in Article CrossRef Google Scholar

    [8] Wang X.W. and Zhou L.W. (2024a). Spatiotemporal pattern of a macrofungal genus Phylloporia (Basidiomycota) revealing its adaptive evolution in China. J. Fungi 10:780. DOI:10.3390/jof10110780

    View in Article CrossRef Google Scholar

    [9] Wang X.W., Liu S.L. and Zhou L.W. (2023). An updated taxonomic framework of Hymenochaetales (Agaricomycetes, Basidiomycota). Mycosphere 14:452−496. DOI:10.5943/mycosphere/14/1/6

    View in Article CrossRef Google Scholar

    [10] Zhou L.W., Wang X.W., Vlasák J., et al. (2018). Resolution of phylogenetic position of Nigrofomitaceae within Hymenochaetales (Basidiomycota) and Nigrofomes sinomelanoporus sp. nov. (Nigrofomitaceae) from China. MycoKeys 29:1−13. DOI:10.3897/mycokeys.29.21250

    View in Article CrossRef Google Scholar

    [11] Liu S.L., Gafforov Y., Zhang X.Y., et al. (2019). Reinstatement of the corticioid genus Leifia (Hymenochaetales, Basidiomycota) with a new species L. brevispora from Hubei, Central China. MycoKeys 51:85−96. DOI:10.3897/mycokeys.51.33262

    View in Article CrossRef Google Scholar

    [12] Liu S.L., Wang X.W., Li G.J., et al. (2024). Fungal diversity notes 1717–1817: Taxonomic and phylogenetic contributions on genera and species of fungal taxa. Fungal Divers. 124:1−216. DOI:10.1007/s13225-023-00529-0

    View in Article CrossRef Google Scholar

    [13] Wang X.W., Jiang J.H. and Zhou L.W. (2020). Basidioradulum mayi and B. tasmanicum spp. nov. (Hymenochaetales, Basidiomycota) from both sides of Bass Strait, Australia. Sci. Rep. 10:102. DOI:10.1038/s41598-019-57061-y

    View in Article CrossRef Google Scholar

    [14] Wang X.W., May T.W., Liu S.L., et al. (2021a). Towards a natural classification of Hyphodontia sensu lato and the trait evolution of basidiocarps within Hymenochaetales (Basidiomycota). J. Fungi 7:478. DOI:10.3390/jof7060478

    View in Article CrossRef Google Scholar

    [15] Zhou L.W., Ghobad-Nejhad M., Tian X.M., et al. (2022). Current status of ‘Sanghuang’ as a group of medicinal mushrooms and their perspective in industry development. Food Rev. Int. 38:589−607. DOI:10.1080/87559129.2020.1740245

    View in Article CrossRef Google Scholar

    [16] Jiang J.H., Zhou L.J., Liu S.L., et al. (2020). Species clarification of the medicinal wood-inhabiting fungus Phylloporia (Hymenochaetales, Basidiomycota) in China. Phytotaxa 446:209−219. DOI:10.11646/phytotaxa.446.4.1

    View in Article CrossRef Google Scholar

    [17] Jiang J.H., Li Q.Z., Luo X., et al. (2024). Transcriptome and metabolome reveal accumulation of key metabolites with medicinal properties of Phylloporia pulla. Int. J. Mol. Sci. 25:11070. DOI:10.3390/ijms252011070

    View in Article CrossRef Google Scholar

    [18] Cheng Y., Zhou L.J., Jiang J.H., et al. (2023). Phylloporia (Hymenochaetales, Basidiomycota), a medicinal wood-inhabiting fungal genus with much potential for commercial development. Food Rev. Int. 39:2776−2789. DOI:10.1080/87559129.2021.1967382

    View in Article CrossRef Google Scholar

    [19] Zhou L.W., Vlasák J. and Dai Y.C. (2016). Taxonomy and phylogeny of Phellinidium (Hymenochaetales, Basidiomycota): A redefinition and the segregation of Coniferiporia gen. nov. for forest pathogens. Fungal Biol. 120:988−1001. DOI:10.1016/j.funbio.2016.04.008

    View in Article CrossRef Google Scholar

    [20] Wang X.W., Jiang J.H., Liu S.L., et al. (2022). Species diversification of the coniferous pathogenic fungal genus Coniferiporia (Hymenochaetales, Basidiomycota) in association with its biogeography and host plants. Phytopathology 112:404−413. DOI:10.1094/PHYTO-05-21-0181-R

    View in Article CrossRef Google Scholar

    [21] Wu F., Dai S.J., Vlasák J., et al. (2019). Phylogeny and global diversity of Porodaedalea, a genus of gymnosperm pathogens in the Hymenochaetales. Mycologia. 111:40−53. DOI:10.1080/00275514.2018.1526618

    View in Article CrossRef Google Scholar

    [22] Wu F., Zhou L.W., Vlasák J., et al. (2022). Global diversity and systematics of Hymenochaetaceae with poroid hymenophore. Fungal Divers. 113:1−192. DOI:10.1007/s13225-021-00496-4

    View in Article CrossRef Google Scholar

    [23] Wang X.W. and Zhou L.W. (2024). Umbellaceae fam. nov. (Hymenochaetales, Basidiomycota) for Umbellus sinensis gen. et sp. nov. and three new combinations. J. Fungi 10:22. DOI:10.3390/jof10010022

    View in Article CrossRef Google Scholar

    [24] Wang X.W., Varga T., Li Q.S., et al. (2025). Complex evolutionary history of the fungal order Hymenochaetales revealed by analyses of trait evolution and diversification. Mycosphere 16:517−535. DOI:10.5943/mycosphere/16/1/7

    View in Article CrossRef Google Scholar

    [25] Zhang X.Q. and Dai Y.C. (2005). Flora fungorum sinicorum Vol 29. Hymenochaetaceae (Science Press), pp: 1–205. https://www.hceis.com/home/book_view.aspx?id=3774

    View in Article Google Scholar

    [26] Dai Y.C. (2018). Flora fungorum sinicorum Vol 57. Hymenochaetales (I) (Science Press), pp: 1–248. https://www.nhbs.com/flora-fungorum-sinicorum-volume-57-chinese-book

    View in Article Google Scholar

    [27] Zhou L.W. and Dai Y.C. (2012). Phylogeny and taxonomy of Phylloporia (Hymenochaetales): New species and a worldwide key to the genus. Mycologia 104:211−222. DOI:10.3852/11-093

    View in Article CrossRef Google Scholar

    [28] Zhou L.W. and Xue H.J. (2012). Fomitiporia pentaphylacis and F. tenuitubus spp. nov. (Hymenochaetales, Basidiomycota) from Guangxi, southern China. Mycol. Prog. 11:907−913. DOI:10.1007/s11557-012-0806-1

    View in Article CrossRef Google Scholar

    [29] Zhou L.W. (2015). Four new species of Phylloporia (Hymenochaetales, Basidiomycota) from tropical China with a key to Phylloporia species worldwide. Mycologia 107:1184−1192. DOI:10.3852/14-254

    View in Article CrossRef Google Scholar

    [30] Yu J., Wang X.W., Liu S.L., et al. (2021). Taxonomy and phylogeny of Resinicium sensu lato from Asia-Pacific revealing a new genus and five new species (Hymenochaetales, Basidiomycota). IMA Fungus 12:19. DOI:10.1186/s43008-021-00071-1

    View in Article CrossRef Google Scholar

    [31] Zhou L.W. and May T.W. (2023). Fungal taxonomy: Current status and research agendas for the interdisciplinary and globalisation era. Mycology 14:52−59. DOI:10.1080/21501203.2022.2103194

    View in Article CrossRef Google Scholar

    [32] Cho Y., Kim D., Lee Y., et al. (2023). Validation of Fuscoporia (Hymenochaetales, Basidiomycota) ITS sequences and five new species based on multi-marker phylogenetic and morphological analyses. IMA Fungus 14:12. DOI:10.1186/s43008-023-00117-6

    View in Article CrossRef Google Scholar

    [33] Gunaseelan S., Kezo K., Karunarathna S.C., et al. (2024). New species of Tropicoporus (Basidiomycota, Hymenochaetales, Hymenochaetaceae) from India, with a key to Afro-Asian Tropicoporus species. MycoKeys 102:29−54. DOI:10.3897/mycokeys.102.117067

    View in Article CrossRef Google Scholar

    [34] Viner I., Larsson K.H., Spirin V., et al. (2024). Revision of Kneiffiella with segregation of Egonia gen. nov. (Hymenochaetales, Agaricomycetes): How similar morphology can hide taxonomic diversity in the molecular era. Persoonia 53:1−28. DOI:10.3767/persoonia.2024.53.01

    View in Article CrossRef Google Scholar

    [35] Yurchenko E., Langer E. and Riebesehl J. (2024). A high species diversity of Lyomyces (Basidiomycota, Hymenochaetales) in Central and South America, revealed after morphological and molecular analysis. MycoKeys 109:131−169. DOI:10.3897/mycokeys.109.127606

    View in Article CrossRef Google Scholar

    [36] Emms D.M. and Kelly S. (2015). OrthoFinder: Solving fundamental biases in whole genome comparisons dramatically improves orthogroup inference accuracy. Genome Biol. 16:157. DOI:10.1186/s13059-015-0721-2

    View in Article CrossRef Google Scholar

    [37] Emms D.M. and Kelly S. (2019). OrthoFinder: Phylogenetic orthology inference for comparative genomics. Genome Biol. 20:238. DOI:10.1186/s13059-019-1832-y

    View in Article CrossRef Google Scholar

    [38] Katoh K. and Standley D.M. (2013). MAFFT multiple sequence alignment software version 7: Improvements in performance and usability. Mol. Biol. Evol. 30:772−780. DOI:10.1093/molbev/mst010

    View in Article CrossRef Google Scholar

    [39] Darriba D., Posada D., Kozlov A.M., et al. (2020). ModelTest-NG: A new and scalable tool for the selection of DNA and protein evolutionary models. Mol. Biol. Evol. 37:291−294. DOI:10.1093/molbev/msz189

    View in Article CrossRef Google Scholar

    [40] Stamatakis A. (2014). RAxML version 8: A tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30:1312−1313. DOI:10.1093/bioinformatics/btu033

    View in Article CrossRef Google Scholar

    [41] Katoh K., Kuma K., Toh H., et al. (2005). MAFFT version 5: Improvement in accuracy of multiple sequence alignment. Nucleic Acids Res. 33:511−518. DOI:10.1093/nar/gki198

    View in Article CrossRef Google Scholar

    [42] Capella-Gutiérrez S., Silla-Martínez J.M. and Gabaldón T. (2009). trimAl: A tool for automated alignment trimming in large-scale phylogenetic analyses, Bioinformatics 25:1972–1973. DOI:10.1093/bioinformatics/btp348.

    View in Article Google Scholar

    [43] Vaidya G., Lohman D.J. and Meier R. (2011). SequenceMatrix: Concatenation software for the fast assembly of multi-gene datasets with character set and codon information. Cladistics 27:171−180. DOI:10.1111/j.1096-0031.2010.00329.x

    View in Article CrossRef Google Scholar

    [44] Guindon S. and Gascuel O. (2003). A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst. Biol. 52:696−704. DOI:10.1080/10635150390235520

    View in Article CrossRef Google Scholar

    [45] Darriba D., Taboada G.L., Doallo R., et al. (2012). jModelTest 2: More models, new heuristics and parallel computing. Nat. Methods 9:772. DOI:10.1038/nmeth.2109

    View in Article CrossRef Google Scholar

    [46] Edler D., Klein J., Antonelli A., et al. (2020). raxmlGUI 2.0: A graphical interface and toolkit for phylogenetic analyses using RAxML. Methods Ecol. Evol. 12:1–5. DOI:10.1111/2041-210X.13512

    View in Article Google Scholar

    [47] Smith S.A. and O’Meara B.C. (2012). treePL: Divergence time estimation using penalized likelihood for large phylogenies. Bioinformatics 28:2689−2690. DOI:10.1093/bioinformatics/bts492

    View in Article CrossRef Google Scholar

    [48] Hibbett D.S., Grimaldi D. and Donoghue M.J. (1995). Cretaceous mushrooms in amber. Nature 377:487. DOI:10.1038/377487a0

    View in Article CrossRef Google Scholar

    [49] Hibbett D.S., Grimaldi D. and Donoghue M.J. (1997). Fossil mushrooms from Miocene and Cretaceous ambers and the evolution of Homobasidiomycetes. Am. J. Bot. 84:981−991. DOI:10.2307/2446289

    View in Article CrossRef Google Scholar

    [50] Smith S.Y., Currah R.S. and Stockey R.A. (2004). Cretaceous and Eocene poroid hymenophores from Vancouver Island, British Columbia. Mycologia 96:180−186. DOI:10.1080/15572536.2005.11833010

    View in Article CrossRef Google Scholar

    [51] Berbee M.L. and Taylor J.W. (2010). Dating the molecular clock in fungi – how close are we. Fungal Biol. Rev. 24:1−16. DOI:10.1016/j.fbr.2010.03.001

    View in Article CrossRef Google Scholar

    [52] Floudas D., Binder M., Riley R., et al. (2012). The Paleozoic origin of enzymatic lignin decomposition reconstructed from 31 fungal genomes. Science 336:1715−1719. DOI:10.1126/science.1221748

    View in Article CrossRef Google Scholar

    [53] Taylor T.N., Hass H. and Kerp H. (1999) The oldest fossil ascomycetes. Nature 399:648. DOI:10.1038/21349

    View in Article Google Scholar

    [54] Taylor T.N., Hass H., Kerp H., et al. (2005). Perithecial ascomycetes from the 400 million years old Rhynie chert: An example of ancestral polymorphism. Mycologia 97:269−285. DOI:10.1080/15572536.2006.11832862

    View in Article CrossRef Google Scholar

    [55] Chang J., Rabosky D.L. and Alfaro M.E. (2020). Estimating diversification rates on incompletely sampled phylogenies: Theoretical concerns and practical solutions. Syst. Biol. 69:602−611. DOI:10.1093/sysbio/syz081

    View in Article CrossRef Google Scholar

    [56] Blaimer B.B., Santos B.F., Cruaud A., et al. (2023). Key innovations and the diversification of Hymenoptera. Nat. Commun. 14:1212. DOI:10.1038/s41467-023-36868-4

    View in Article CrossRef Google Scholar

    [57] Helmstetter A.J., Zenil-Ferguson R., Sauquet H., et al. (2023). Trait-dependent diversification in angiosperms: Patterns, models and data. Ecol. Lett. 26:640−657. DOI:10.1111/ele.14170

    View in Article CrossRef Google Scholar

    [58] Soghigian J., Sither C., Justi S.A., et al. (2023). Phylogenomics reveals the history of host use in mosquitoes. Nat. Commun. 14:6252. DOI:10.1038/s41467-023-41764-y

    View in Article CrossRef Google Scholar

    [59] Tietje M., Antonelli A., Forest F., et al. (2023). Global hotspots of plant phylogenetic diversity. New Phytol. 240:1636−1646. DOI:10.1111/nph.19151

    View in Article CrossRef Google Scholar

    [60] Crisp M., Laffan S., Linder H.P., et al. (2001). Endemism in the Australian flora. J. Biogeogr. 28:183−198. DOI:10.1046/j.1365-2699.2001.00524.x

    View in Article CrossRef Google Scholar

    [61] Laffan S.W. and Crisp M.D. (2003). Assessing endemism at multiple spatial scales, with an example from the Australian vascular flora. J. Biogeogr. 30:511−520. DOI:10.1046/j.1365-2699.2003.00875.x

    View in Article CrossRef Google Scholar

    [62] Faith D.P. (1992). Conservation evaluation and phylogenetic diversity. Biol. Conserv. 61:1−10. DOI:10.1016/0006-3207(92)91201-3

    View in Article CrossRef Google Scholar

    [63] Webb C.O., Ackerly D.D., McPeek M.A., et al. (2002). Phylogenies and community ecology. Annu. Rev. Ecol. Evol. Syst. 33:475−505. DOI:10.1146/annurev.ecolsys.33.010802.150448

    View in Article CrossRef Google Scholar

    [64] Rodrigues A.S.L., Brooks T.M. and Gaston K.J. (2005). Purvis A., Gittleman J.L. and Brooks T.M. (eds). Phylogeny and Conservation (Cambridge Univ. Press), pp: 101–119. DOI:10.5860/choice.43-4656

    View in Article Google Scholar

    [65] Brum F.T., Graham C.H., Costa G.C., et al. (2017). Global priorities for conservation across multiple dimensions of mammalian diversity. Proc. Natl. Acad. Sci. USA. 114:7641−7646. DOI:10.1073/pnas.1706461114

    View in Article CrossRef Google Scholar

    [66] Rosauer D., Laffan S.W., Crisp M.D., et al. (2009). Phylogenetic endemism: A new approach for identifying geographical concentrations of evolutionary history. Mol. Ecol. 18:4061−4072. DOI:10.1111/j.1365-294x.2009.04311.x

    View in Article CrossRef Google Scholar

    [67] Cadotte M.W. and Davies J.T. (2010). Rarest of the rare: Advances in combining evolutionary distinctiveness and scarcity to inform conservation at biogeographical scales. Divers. Distrib. 16:376−385. DOI:10.1111/j.1472-4642.2010.00650

    View in Article CrossRef Google Scholar

    [68] Mishler B., Knerr N., González-Orozco C., et al. (2014). Phylogenetic measures of biodiversity and neo- and paleo-endemism in Australian Acacia. Nat. Commun. 5:4473. DOI:10.1038/ncomms5473

    View in Article CrossRef Google Scholar

    [69] Esri. (2020). ArcGlS Desktop: Release 10.8. (Redlands, CA: Environmental Systems Research Institute). https://www.esri.com/en-us/home

    View in Article Google Scholar

    [70] Yang X.Q., Kushwaha S.P.S., Saran S., et al. (2013). Maxent modeling for predicting the potential distribution of medicinal plant, Justicia adhatoda L. in Lesser Himalayan foothills. Ecol. Eng. 51:83−87. DOI:10.1016/j.ecoleng.2012.12.004

    View in Article CrossRef Google Scholar

    [71] Street G.M. (2020). Habitat suitability and distribution models with applications in R. J. Wildlife Manage 84:1212−1213. DOI:10.1002/jwmg.21868

    View in Article CrossRef Google Scholar

    [72] Warren D.L., Matzke N.J., Cardillo M., et al. (2021). ENMTools 1.0: An R package for comparative ecological biogeography. Ecography 44:504–511. DOI:10.1111/ecog.05485

    View in Article Google Scholar

    [73] Thuiller W., Lafourcade B., Engler R., et al. (2009). BIOMOD—a platform for ensemble forecasting of species distributions. Ecography 32:369−373. DOI:10.1111/j.1600-0587.2008.05742.x

    View in Article CrossRef Google Scholar

    [74] Strubbe D., Jackson H., Groombridge J., et al. (2015). Invasion success of a global avian invader is explained by within-taxon niche structure and association with humans in the native range. Divers. Distrib. 21:675−685. DOI:10.1111/ddi.12325

    View in Article CrossRef Google Scholar

    [75] Hastie T.J. (2017). Generalized additive models. Routledge. (ed). Statistical models in S (Taylor & Francis), pp: 249–307. DOI:10.1201/9780203753781-6

    View in Article Google Scholar

    [76] Elith J., Leathwick J.R. and Hastie T. (2008). A working guide to boosted regression trees. J. Anim. Ecol. 77:802−813. DOI:10.1111/j.1365-2656.2008.01390.x

    View in Article CrossRef Google Scholar

    [77] Hastie T.J. and Pregibon D. (2017). Generalized linear models. Routledge. (ed). Statistical models in S (Taylor & Francis), pp: 95–247. DOI:10.1201/9780429057489-1

    View in Article Google Scholar

    [78] Breiman L. (2001). Random forests. Mach. Learn. 45:5−32. DOI:10.1023/A:1010933404324

    View in Article CrossRef Google Scholar

    [79] Phillips S.J., Anderson R.P., Dudik M., et al. (2017). Opening the black box: An open-source release of Maxent. Ecography 40:887−893. DOI:10.1111/ecog.03049

    View in Article CrossRef Google Scholar

    [80] Zhao Y., Deng X.W., Xiang W.H., et al. (2021). Predicting potential suitable habitats of Chinese fir under current and future climatic scenarios based on MaxEnt model. Ecol. Inform. 64:101393. DOI:10.1016/j.ecoinf.2021.101393

    View in Article CrossRef Google Scholar

    [81] Kruskal W.H. and Wallis W.A. (1952). Use of ranks in one-criterion variance analysis. J. Am. Stat. Assoc. 47:583−621. DOI:10.1080/01621459.1952.10483441

    View in Article CrossRef Google Scholar

    [82] Hawksworth D.L. and Lücking R. (2017). Fungal diversity revisited: 2.2 to 3.8 million species. Microbiol. Spectr. 5:4. DOI:10.1128/microbiolspec.funk-0052-2016.

    View in Article Google Scholar

    [83] Wang X.W., Liu S.L. and Zhou L.W. (2021). Citizen Science initiative in taxonomy of macrofungi in China 1.0. Mycosystema 40:844–850. DOI:10.13346/j.mycosystema.200283

    View in Article Google Scholar

    [84] Wu F., Zhou L.W., Yang Z.L., et al. (2019b). Resource diversity of Chinese macrofungi: Edible, medicinal and poisonous species. Fungal Divers. 98:1−76. DOI:10.1007/s13225-019-00432-7

    View in Article CrossRef Google Scholar

    [85] Chang M., Jiang J.H., Wang J., et al. (2025). Discovering Phlebia acerina for efficient degradation of bisphenol S and insights into its degradation mechanism. Bioresource Technol. 418:131912. DOI:10.1016/j.biortech.2024.131912

    View in Article CrossRef Google Scholar

    [86] Sun S., Hoy M.J. and Heitman J. (2020). Fungal pathogens. Curr. Biol. 30:PR1163−R1169. DOI:10.1016/j.cub.2020.07.032

    View in Article CrossRef Google Scholar

    [87] Liu S.L., Zhao P., Cai L., et al. (2025). Catalogue of fungi in China 1. New taxa of plant-inhabiting fungi. Mycology 16:1−58. DOI:10.1080/21501203.2024.2316066

    View in Article CrossRef Google Scholar

    [88] Manawasinghe I.S., Hyde K.D., Wanasinghe D.N., et al. (2025). Fungal diversity notes 1818–1918: Taxonomic and phylogenetic contributions on genera and species of fungi. Fungal Divers. 130:1−261. DOI:10.1007/s13225-024-00541-y

    View in Article CrossRef Google Scholar

    [89] Wang K., Liu S.L., Liu X.Z., et al. (2025b). Catalogue of fungi in China 3. New taxa of macrofungi from southern Xizang, China. Mycology 16:91−123. DOI:10.1080/21501203.2024.2392014

    View in Article CrossRef Google Scholar

    [90] Liu S.L., He S.H., Wang X.W., et al. (2022). Trechisporales emended with a segregation of Sistotremastrales ord. nov. (Basidiomycota). Mycosphere 13:862−954. DOI:10.5943/mycosphere/13/1/11

    View in Article CrossRef Google Scholar

    [91] Liu S.L., Wei H.W. and Zhou L.W. (2023). Xenasmatellales ord. nov. and Xenasmatellaceae fam. nov. for Xenasmatella (Agaricomycetes, Basidiomycota). Mycology 14:175−189. DOI:10.1080/21501203.2023.2216213

    View in Article CrossRef Google Scholar

    [92] He M.Q., Cao B., Liu F., et al. (2024). Phylogenomics, divergence times and notes of orders in Basidiomycota. Fungal Divers. 126:127−406. DOI:10.1007/s13225-024-00535-w

    View in Article CrossRef Google Scholar

    [93] Varga T., Krizsán K., Földi C., et al. (2019). Megaphylogeny resolves global patterns of mushroom evolution. Nat. Ecol. Evol. 3:668−678. DOI:10.1038/s41559-019-0834-1

    View in Article CrossRef Google Scholar

    [94] Sato H. (2024). The evolution of ectomycorrhizal symbiosis in the Late Cretaceous is a key driver of explosive diversification in Agaricomycetes. New Phytol. 241:444−460. DOI:10.1111/nph.19055

    View in Article CrossRef Google Scholar

    [95] Monteiro M., Reino L., Ferreira M.T., et al. (2022). Patterns and drivers of the global diversity of non-native macrofungi. Divers. Distrib. 28:2042−2055. DOI:10.1111/ddi.13607

    View in Article CrossRef Google Scholar

    [96] Zhou L.W., Hao Z.Q., Wang Z., et al. (2011). Comparison of ecological patterns of polypores in three forest zones in China. Mycology 2:260−275. DOI:10.1080/21501203.2011.602726

    View in Article CrossRef Google Scholar

    [97] Liao J.Y., Zhang L.P., Liu Y., et al. (2018). Diversity and utilization of edible plants and macro-fungi in subtropical Guangdong Province, Southern China. Forests 9:666. DOI:10.3390/f9110666

    View in Article CrossRef Google Scholar

    [98] Ge S.L., Jiang C., Wang J., et al. (2023) Analyzing temperature and precipitation extremes in China using multiple gridded datasets: A comparative evaluation. Weather Clim. Extremes 42:100614. DOI:10.1016/j.wace.2023.100614

    View in Article Google Scholar

    [99] Wei S.K., Rao Z.G., Cao J.T., et al. (2023). Holocene warming trend based on peat brGDGTs records from southeastern humid to northwestern arid China. Paleogeogr. Paleoclimatol. Paleoecol. 619:111528. DOI:10.1016/j.palaeo.2023.111528

    View in Article CrossRef Google Scholar

    [100] Lu L.M., Zhao L.N., Hu H.H., et al. (2023). A comprehensive evaluation of flowering plant diversity and conservation priority for national park planning in China. Fundam. Res. 3:939−950. DOI:10.1016/j.fmre.2022.08.008

    View in Article CrossRef Google Scholar

    [101] Zhao L.N., Li J.Y., Barrett R.L., et al. (2024). Spatial heterogeneity of extinction risk for flowering plants in China. Nat. Commun. 15:6352. DOI:10.1038/s41467-024-50704-3

    View in Article CrossRef Google Scholar

    [102] Kier G., Kreft H., Lee T.M., et al. (2009). A global assessment of endemism and species richness across island and mainland regions. Proc. Natl. Acad. Sci. USA. 106:9322−9327. DOI:10.1073/pnas.0810306106

    View in Article CrossRef Google Scholar

    [103] Burnham K.P. and Anderson D.R. (2002). Model selection and multimodel inference: A practical information-theoretic approach (Springer). DOI:10.1007/b97636.

    View in Article Google Scholar

    [104] Deng H.J., Chen Y.N., Wang H.J., et al. (2015). Climate change with elevation and its potential impact on water resources in the Tianshan Mountains, Central Asia. Global Planet. Change 135:28−37. DOI:10.1016/j.gloplacha.2015.09.015

    View in Article CrossRef Google Scholar

    [105] Fan M.T., Xu J.H., Chen Y.N., et al. (2021). Reconstructing high-resolution temperature for the past 40 years in the Tianshan Mountains, China based on the Earth system data products. Atmos. Res. 253:105493. DOI:10.1016/j.atmosres.2021.105493

    View in Article CrossRef Google Scholar

    [106] Tang Q.H., Liu X.C., Zhou Y.Y., et al. (2022). Climate change and water security in the northern slope of the Tianshan Mountains. Geogr. Sustain. 3:246−257. DOI:10.1016/j.geosus.2022.08.004

    View in Article CrossRef Google Scholar

    [107] Jin C.H., Wang B., Cheng T.F., et al. (2024). How much we know about precipitation climatology over Tianshan Mountains––the Central Asian water tower. Npj. Clim. Atmos. Sci. 7:21. DOI:10.1038/s41612-024-00572-x

    View in Article CrossRef Google Scholar

    [108] Cai Q., Codjia J.E.I., Buyck B., et al. (2024). The evolution of ectomycorrhizal symbiosis and host-plant switches are the main drivers for diversification of Amanitaceae (Agaricales, Basidiomycota). BMC. Biol. 22:230. DOI:10.1186/s12915-024-02031-8

    View in Article CrossRef Google Scholar

  • Cite this article:

    Wang X.-W. and Zhou L.-W. (2026). How a fungal order Hymenochaetales diversified in China inferred from its spatiotemporal pattern. The Innovation Life 4:100197. https://doi.org/10.59717/j.xinn-life.2026.100197
    Wang X.-W. and Zhou L.-W. (2026). How a fungal order Hymenochaetales diversified in China inferred from its spatiotemporal pattern. The Innovation Life 4:100197. https://doi.org/10.59717/j.xinn-life.2026.100197

Welcome!

To request copyright permission to republish or share portions of our works, please visit Copyright Clearance Center's (CCC) Marketplace website at marketplace.copyright.com.

Figures(6)     Tables(1)

Share

  • Share the QR code with wechat scanning code to friends and circle of friends.

Article Metrics

Article views(2990) PDF downloads(848)

Relative Articles

Cited by

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint