Soil microbial subcommunity assembly mechanisms are highly variable and intimately linked to their ecological and functional traits

生物 芽单胞菌门 元社区 生物扩散 生态学 微生物种群生物学 微生物生态学 生态位分化 生态位 蛋白质细菌 利基 人口 16S核糖体RNA 栖息地 细菌 人口学 社会学 遗传学
作者
Qiuping Fan,Kaifang Liu,Zelin Wang,Dong Liu,Ting Li,Haiyan Hou,Zejin Zhang,Danhong Chen,Song Zhang,Anlan Yu,Yongcui Deng,Xiaoyong Cui,Rongxiao Che
出处
期刊:Molecular Ecology [Wiley]
卷期号:33 (7) 被引量:19
标识
DOI:10.1111/mec.17302
摘要

Abstract Revealing the mechanisms underlying soil microbial community assembly is a fundamental objective in molecular ecology. However, despite increasing body of research on overall microbial community assembly mechanisms, our understanding of subcommunity assembly mechanisms for different prokaryotic and fungal taxa remains limited. Here, soils were collected from more than 100 sites across southwestern China. Based on amplicon high‐throughput sequencing and iCAMP analysis, we determined the subcommunity assembly mechanisms for various microbial taxa. The results showed that dispersal limitation and homogenous selection were the primary drivers of soil microbial community assembly in this region. However, the subcommunity assembly mechanisms of different soil microbial taxa were highly variable. For instance, the contribution of homogenous selection to Crenarchaeota subcommunity assembly was 70%, but it was only around 10% for the subcommunity assembly of Actinomycetes, Gemmatimonadetes and Planctomycetes. The assembly of subcommunities including microbial taxa with higher occurrence frequencies, average relative abundance and network degrees, as well as wider niches tended to be more influenced by homogenizing dispersal and drift, but less affected by heterogeneous selection and dispersal limitation. The subcommunity assembly mechanisms also varied substantially among different functional guilds. Notably, the subcommunity assembly of diazotrophs, nitrifiers, saprotrophs and some pathogens were predominantly controlled by homogenous selection, while that of denitrifiers and fungal pathogens were mainly affected by stochastic processes such as drift. These findings provide novel insights into understanding soil microbial diversity maintenance mechanisms, and the analysis pipeline holds significant value for future research.
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