| Literature DB >> 31086312 |
Linwei Wu1,2, Daliang Ning1,2,3, Bing Zhang1,2, Yong Li4, Ping Zhang2,5, Xiaoyu Shan1, Qiuting Zhang1, Mathew Robert Brown6, Zhenxin Li7, Joy D Van Nostrand2, Fangqiong Ling8, Naijia Xiao2,3, Ya Zhang2, Julia Vierheilig9,10, George F Wells11, Yunfeng Yang1, Ye Deng12,13, Qichao Tu12, Aijie Wang13, Tong Zhang14, Zhili He15,16, Jurg Keller17, Per H Nielsen18, Pedro J J Alvarez19, Craig S Criddle20, Michael Wagner9, James M Tiedje21, Qiang He22,23, Thomas P Curtis24, David A Stahl25, Lisa Alvarez-Cohen26,27, Bruce E Rittmann28, Xianghua Wen29, Jizhong Zhou30,31,32.
Abstract
Microorganisms in wastewater treatment plants (WWTPs) are essential for water purification to protect public and environmental health. However, the diversity of microorganisms and the factors that control it are poorly understood. Using a systematic global-sampling effort, we analysed the 16S ribosomal RNA gene sequences from ~1,200 activated sludge samples taken from 269 WWTPs in 23 countries on 6 continents. Our analyses revealed that the global activated sludge bacterial communities contain ~1 billion bacterial phylotypes with a Poisson lognormal diversity distribution. Despite this high diversity, activated sludge has a small, global core bacterial community (n = 28 operational taxonomic units) that is strongly linked to activated sludge performance. Meta-analyses with global datasets associate the activated sludge microbiomes most closely to freshwater populations. In contrast to macroorganism diversity, activated sludge bacterial communities show no latitudinal gradient. Furthermore, their spatial turnover is scale-dependent and appears to be largely driven by stochastic processes (dispersal and drift), although deterministic factors (temperature and organic input) are also important. Our findings enhance our mechanistic understanding of the global diversity and biogeography of activated sludge bacterial communities within a theoretical ecology framework and have important implications for microbial ecology and wastewater treatment processes.Entities:
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Year: 2019 PMID: 31086312 DOI: 10.1038/s41564-019-0426-5
Source DB: PubMed Journal: Nat Microbiol ISSN: 2058-5276 Impact factor: 17.745