Drivers of microbial beta-diversity in wastewater treatment plants in China

作     者：Bing Zhang Ting Yang Chenxiang Sun Xianghua Wen Bing Zhang;Ting Yang;Chenxiang Sun;Xianghua Wen

作者机构：College of Life and Environmental SciencesMinzu University of ChinaBeijing 100081China Environmental Simulation and Pollution Control State Key Joint LaboratorySchool of EnvironmentTsinghua UniversityBeijing 100084China 

出 版 物：《Journal of Environmental Sciences》 (环境科学学报（英文版）)

年 卷 期：2022年第34卷第5期

页      面：341-349页

核心收录：

学科分类：083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 07[理学] 08[工学] 0713[理学-生态学] 

基　　金：This work was supported by the Fundamental Research Funds for the Central Universities(No.2021QNPY84) the National Natural Science Foundation of China(No.52070109). 

主　　题：Wastewater treatment plant Distance-decay pattern Scale-dependent Microbial assembly Dispersal limitation 

摘      要：As one of the most well-documented biogeographic patterns,the distance-decay relation-ship provides insights into the underlying mechanisms driving biodiversity distribution.Al-though wastewater treatment plants(WWTPs)are well-controlled engineered ecosystems,this pattern has been seen among microbial communities in activated sludge(AS).However,little is known about the relative importance of environmental heterogeneity and dispersal limitation in shaping AS microbial community across China;especially they are related to spatial scale and organism types.Here,we assessed the distance-decay relationship based on different spatial scales and microbial phylogenetic groups by analyzing 132 activated sludge(AS)samples across China comprising 3,379,20016S rRNA sequences.Our results in-dicated that the drivers of distance-decay pattern in China were scale-dependent.Microbial biogeographic patterns in WWTPs were mainly driven by dispersal limitation at both local and national scales.In contrast,conductivity,SRT,and pH played dominant roles in shaping AS microbial community compositions at the regional scale.Turnover rates and the drivers of beta-diversity also varied with microorganism populations.Moreover,a quantitative re-lationship between dispersal limitation ratio and AS microbial turnover rate was generated.Collectively,these results highlighted the importance of considering multiple spatial scales and micro-organism types for understanding microbial biogeography in WWTPs and pro-vided new insights into predicting variations in AS community structure in response to environmental disturbance.