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云南野生春兰根系内生微生物多样性的分析
引用本文:陈健鑫,唐婕,魏玉倩,马焕成,伍建榕.云南野生春兰根系内生微生物多样性的分析[J].微生物学报,2023,63(1):156-169.
作者姓名:陈健鑫  唐婕  魏玉倩  马焕成  伍建榕
作者单位:西南林业大学生物多样性保护学院 云南省高校森林灾害预警控制重点实验室, 云南 昆明 650224;西南林业大学林学院 西南地区生物多样性保育国家林业局重点实验室, 云南 昆明 650224
基金项目:国家自然科学基金(31860208);国家重点研发计划(2019YFD100200X);西南林业大学木棉纤维人工林产业化培育省级创新团队项目(2018HC014)
摘    要:春兰(Cymbidium goeringii)是一种具有较高经济和观赏价值的地生兰。由于栖息地的严重破坏,大多数地生兰处于濒危状态,根系与微生物的共生关系伴随着兰科植物从种子萌发到开花结果,因此根系内生微生物在地生兰生活史中具有重要作用。【目的】分析野生春兰根系内生菌群落组成与潜在功能,为春兰的人工保育提供理论依据。【方法】采集云南省昆明市、保山市和大理州的野生春兰的根系,利用宏基因组测序,并进行物种注释及功能注释。【结果】保山的春兰根内微生物丰度及多样性大于大理及昆明的春兰样品,春兰根系内生真菌的优势门为担子菌门(Basidiomycota)、子囊菌门(Ascomycota)和球囊霉门(Glomeromycota),优势科为球囊霉科(Glomeraceae)、多孔菌科(Polyporaceae)和角担菌科(Ceratobasidiaceae),其中角担菌科是春兰主要的兰科菌根真菌(orchid mycorrhizal fungi, OMF);内生细菌的优势门为厚壁菌门(Firmicutes)、变形菌门(Proteobacteria)和拟杆菌门(Bacteroidetes),优势科为韦...

关 键 词:春兰  根系内生微生物  宏基因组  KEGG数据库  PHI数据库
收稿时间:2022/4/10 0:00:00
修稿时间:2022/6/25 0:00:00

Diversity of endophytic microbes in roots of wild Cymbidium goeringii in Yunnan
CHEN Jianxin,TANG Jie,WEI Yuqian,MA Huancheng,WU Jianrong.Diversity of endophytic microbes in roots of wild Cymbidium goeringii in Yunnan[J].Acta Microbiologica Sinica,2023,63(1):156-169.
Authors:CHEN Jianxin  TANG Jie  WEI Yuqian  MA Huancheng  WU Jianrong
Institution:Key Laboratory of Forest Disaster Warning and Control in Universities of Yunnan, College of Biodiversity Conservation, Southwest Forestry University, Kunming 650224, Yunnan, China;Key Laboratory of Biodiversity Conservation in Southwest China, State Forestry Administration, College of Biodiversity Forestry, Southwest Forestry University, Kunming 650224, Yunnan, China
Abstract:The terrestrial Cymbidium goeringii is of high ornamental and economic value. With the habitats being destructed, most terrestrial orchids are endangered. The roots of Orchidaceae plants maintain a symbiotic relationship with microbes from seed germination to flowering and fruiting. Therefore, the endophytic microbes of the roots play an important part in the life cycle of terrestrial orchids.Objective] In this study, we analyzed the composition and potential functions of endophytic microbes in the roots of wild C. goeringii, hoping to provide a reference for artificial conservation of this species. Methods] Metagenomic sequencing of wild C. goeringii roots collected from Kunming city, Baoshan city, and Dali city in Yunnan province was performed, and the species and functions of species were analyzed. Results] The abundance and diversity of microbes in roots of C. goeringii collected from Baoshan city were higher than those in samples from Dali city and Kunming city. The dominant phyla of endophytic fungi were Basidiomycota, Ascomycota, and Glomeromycota and the dominant families were Glomeraceae, Polyporaceae, and Ceratobasidiaceae, among which Ceratobasidiaceae fungi were the major orchid mycorrhizal fungi (OMF). The endophytic bacteria were dominated by Firmicutes, Proteobacteria, and Bacteroidetes, as well as Erysipelotrichaceae, Cyclobacteriaceae, and Acetobacteraceae. As for the endophytic archaea, the dominant phyla and family were Euryarchaeota, Thaumarchaeota, and Natrialbaceae. Caulimoviridae dominated the endophytic viruses. These microbes were mainly involved in Kyoto encyclopedia of genes and genomes (KEGG) pathways of metabolism and genetic information processing. The annotation of pathogen-host interactions (PHI) database suggested that endophytic Fusarium/Gibberella, Magnaporthe, and Aspergillus may be the potential pathogens of wild C. goeringii. Conclusion] In this study, the main groups of endophytic microbes in the roots of wild C. goeringii in three regions of Yunnan province were identified, and the colonization of Glomeraceae was found for the first time in C. goeringii. Moreover, the functions of the endophytic microbes were analyzed. The result is expected to lay a theoretical basis for the conservation of wild C. goeringii, mycorrhization of artificial seedlings, and disease control.
Keywords:Cymbidium goeringii  endophytic microbes of roots  metagenome  KEGG database  pathogen-host interactions database
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