文献类型：期刊文献

英文题名：Three new asexual Kirschsteiniothelia species from Guizhou Province, China

作者：Xiao, Xing-Juan Liu, Ning-Guo Ma, Jian Zhang, Li-Juan Bao, Dan-Feng Bai, Song Al-Otibi, Fatimah Hyde, Kevin D. Lu, Yong-Zhong

第一作者：Xiao, Xing-Juan

通信作者：Lu, YZ[1];Bai, S[2]|[14440437795d317a98a55]柏松;

机构：[1]Guizhou Inst Technol, Sch Food & Pharmaceut Engn, Guiyang 550025, Peoples R China;[2]Mae Fah Luang Univ, Ctr Excellence Fungal Res, Chiang Rai 57100, Thailand;[3]Mae Fah Luang Univ, Sch Sci, Chiang Rai 57100, Thailand;[4]Guizhou Univ, Engn & Res Ctr Southwest Biopharmaceut Resource, Natl Educ Minist China, Guiyang 550025, Guizhou, Peoples R China;[5]Guizhou Ind Polytech Coll, Guiyang 550008, Peoples R China;[6]King Saud Univ, Coll Sci, Dept Bot & Microbiol, POB 22452, Riyadh 11495, Saudi Arabia

第一机构：贵州理工学院食品药品制造工程学院

通信机构：corresponding author), Guizhou Inst Technol, Sch Food & Pharmaceut Engn, Guiyang 550025, Peoples R China;corresponding author), Guizhou Ind Polytech Coll, Guiyang 550008, Peoples R China.|贵州理工学院食品药品制造工程学院;贵州理工学院;

年份：2025

卷号：113

期号：113

起止页码：147-168

外文期刊名：MYCOKEYS

收录：;Scopus(收录号：2-s2.0-85216946332);WOS:【SCI-EXPANDED(收录号:WOS:001420917800001)】；

基金：This work was funded by the National Natural Science Foundation of China (NSFC 32060013) and Guizhou Institute of Technology High-Level Talent Research Start-up Project (2023GCC069) .

语种：英文

外文关键词：3 new species; asexual morph; phylogeny; taxonomy

摘要：During our investigation of saprobic fungi in southwestern China, three micro-hyphomycetous fungi were isolated from dead wood in freshwater and terrestrial habitats in Guizhou Province. Phylogenetic analyses of ITS, LSU, and SSU sequences, performed using Maximum Likelihood and Bayesian Inference methods, confirmed that these isolates belong to Kirschsteiniothelia. Based on distinct morphological characteristics and molecular phylogenetic evidence, we describe three new species: Kirschsteiniothelia guizhouensis, K. weiningensis, and K. xishuiensis. Furthermore, the effectiveness of three DNA markers for species-level identification within Kirschsteiniothelia was evaluated using Assemble Species by Automatic Partitioning (ASAP) analysis, which identified the ITS nucleotide sequences as the most reliable marker for species differentiation within the genus.