山西省蜡伞属真菌物种多样性及一新种的描述
Species diversity of Hygrophorus(Hygrophoraceae,Agaricales)in Shanxi Province and description of Hygrophorus brunneodiscoides sp.nov.
张宇欣 1毛宁 1李颖 1李婷 2范黎1
作者信息
- 1. 首都师范大学生命科学学院,北京 100048
- 2. 国家自然博物馆 生命科学部,北京 100050
- 折叠
摘要
[背景]蜡伞属(Hygrophorus)隶属于担子菌门(Basidiomycota)伞菌纲(Agaricomycetes)伞菌目(Agaricales)蜡伞科(Hygrophoraceae),在世界分布广泛.[目的]对山西省的蜡伞属真菌物种进行资源调查,丰富该地区蜡伞属物种的多样性.[方法]采集标本并进行形态学观察及描述;提取 DNA,测定内转录间隔区(internal transcribed spacer,ITS);基于最大似然法(maximum likelihood,ML)和贝叶斯法(Bayesian inference,BI)构建分子系统发育树.[结果]结合形态学特征和分子系统发育学共鉴定出山西省蜡伞属真菌11种,包括已知种10个,新种1个.本文对新种拟褐顶蜡伞(Hygrophorus brunneodiscoides)的宏观、微观形态特征进行了详细的描述、绘图及拍照,并提供了这10个已知种的子实体图片和山西省蜡伞属物种检索表.[结论]本文描述了发现于中国的新种拟褐顶蜡伞(H.brunneodiscoides),证实了山西存在该属物种11个,并根据野外观察对这11个物种的地理分布及其与宿主植物间的关系进行了简要讨论.
Abstract
[Background]Hygrophorus,belonging to Basidiomycota,Agaricomycetes,Agaricales,Hygrophoraceae,is widely distributed all around the world.[Objective]To investigate the species of Hygrophorus and enrich the knowledge about the species diversity of this genus in Shanxi Province.[Methods]We collected fungal specimens,observed and characterized their morphology.After DNA extraction,the internal transcribed spacer(ITS)was sequenced.Phylogenetic trees were constructed based on the maximum likelihood method and Bayesian inference.[Results]Eleven species of Hygrophorus were identified based on the morphological and molecular evidence,including ten known species and a new species.This article described the macroscopic and microscopic morphological characteristics of the new species Hygrophorus brunneodiscoides in detail.The basidiocarp photos of ten known species and a key to the species of Hygrophorus in Shanxi Province were provided.[Conclusion]We identified a new species,H.brunneodiscoides,in China,confirmed 11 species of Hygrophorus in Shanxi Province,and briefed their geographical distribution and associations with hosts according to the field observation.
关键词
食用真菌/新种/分类学/担子菌Key words
edible mushroom/novel species/taxonomy/Basidiomycetes引用本文复制引用
出版年
2024
NETL
NSTL
万方数据