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不同盐度湖泊水体和沉积物中细菌群落的共生模式存在明显差异。

Distinct co-occurrence patterns of prokaryotic community between the waters and sediments in lakes with different salinity.

机构信息

State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, China.

Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China.

出版信息

FEMS Microbiol Ecol. 2020 Dec 30;97(1). doi: 10.1093/femsec/fiaa234.

Abstract

Temporal variations and co-occurrence patterns of the prokaryotic community in saline lakes remain elusive. In this study, we investigated the temporal variations of the prokaryotic community in six lakes with different salinity by using Illumina sequencing. The results showed that prokaryotic community compositions exhibited temporal variations in all studied lakes, which may be partially caused by temporal fluctuations of environmental variables (e.g. salinity, temperature, total nitrogen). Salinity fluctuations exhibited stronger influences on temporal variations of prokaryotic community composition in the lakes with low salinity than in those with high salinity. Stochastic factors (i.e. neutral processes) also contributed to temporal variations of prokaryotic community composition, and their contributions decreased with increasing salinity in the studied saline lakes. Network analysis showed that prokaryotic co-occurrence networks of the studied lakes exhibited non-random topology. Salinity affected the phylogenetic composition of nodes in the studied networks. The topological features (e.g. average connectivity and modularity) of the studied networks significantly differed between lake waters and sediments. Collectively, these results expand our knowledge of the mechanisms underlying prokaryotic community assembly and co-occurrence relationships in saline lakes with different salinity.

摘要

时间变化和原核生物群落的共存模式在盐湖中仍然难以捉摸。在这项研究中,我们通过使用 Illumina 测序技术研究了六个不同盐度的湖泊中原核生物群落的时间变化。结果表明,所有研究湖泊中原核生物群落组成都表现出时间变化,这可能部分是由于环境变量(如盐度、温度、总氮)的时间波动造成的。盐度波动对低盐度湖泊中原核生物群落组成的时间变化的影响比高盐度湖泊更强。随机因素(即中性过程)也促成了原核生物群落组成的时间变化,并且它们在研究的盐湖中的贡献随着盐度的增加而减少。网络分析表明,研究湖泊中原核生物的共生网络表现出非随机的拓扑结构。盐度影响了研究网络中节点的系统发育组成。研究网络的拓扑特征(例如平均连通性和模块性)在湖泊水和沉积物之间存在显著差异。总的来说,这些结果扩展了我们对不同盐度盐湖中原核生物群落组装和共存关系的机制的认识。

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