Distinctive pattern and mechanism of precipitation changes affecting soil microbial assemblages in the Eurasian steppe

iScience

Xunzhi Zhu¹  Shiping Chen²  Lili Gao³  Tingting Li³  Wei Yang³  Chun Luo³  Xingguo Han³  Yuhan Zhang³  Wei Liu³  Minjie Xu³  Dandan He⁴  Zhiping Wang⁴  Shuang Pang⁵  Ximei Zhang⁵  Yi Fan⁵ 

[1] State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China;Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing 210014, China;Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China;Shanghai Majorbio Bio-pharm Biotechnology Co., Ltd, Shanghai 201318, China;State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China;

关键词: Geomicrobiology;    Ecology;    Microbiology;    Soil ecology;   

DOI  :  

来源: DOAJ

【 摘 要 】

Summary: Precipitation may increase or decrease by different intensities, but the pattern and mechanism of soil microbial community assembly under various precipitation changes remain relatively underexplored. Here, although ±30% precipitation caused a small decrease (∼19%) in the within-treatment taxonomic compositional dissimilarity through the deterministic competitive exclusion process in a steppe ecosystem, ±60% precipitation caused a large increase (∼35%) in the dissimilarity through the stochastic ecological drift process (random birth/death), which was in contrast with the traditional thought that increasing the magnitude of environmental changes (e.g., from +30% to +60%) would elevate the importance of deterministic relative to stochastic processes. The increased taxonomic dissimilarity/stochasticity under ±60% precipitation translated into functional dissimilarity/stochasticity at the gene, protein, and enzyme levels. Overall, our results revealed the distinctive pattern and mechanism of precipitation changes affecting soil microbial community assembly and demonstrated the need to integrate microbial taxonomic information to better predict their functional responses to precipitation changes.

【 授权许可】

Unknown