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Molecular ecological networks reveal the spatial-temporal variation of microbial communities in drinking water distribution systems.
Jing, Zibo; Lu, Zedong; Zhao, Zhinan; Cao, Wenfeng; Wang, Weibo; Ke, Yanchu; Wang, Xiaohui; Sun, Wenjun.
Afiliação
  • Jing Z; Beijing Engineering Research Center of Environmental Material for Water Purification, College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, China; School of Environment, Tsinghua University, Beijing 100084, China.
  • Lu Z; School of Environment, Tsinghua University, Beijing 100084, China.
  • Zhao Z; Beijing Engineering Research Center of Environmental Material for Water Purification, College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
  • Cao W; School of Environment, Tsinghua University, Beijing 100084, China.
  • Wang W; School of Environment, Tsinghua University, Beijing 100084, China.
  • Ke Y; State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
  • Wang X; Beijing Engineering Research Center of Environmental Material for Water Purification, College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, China. Electronic address: xhwang@mail.buct.edu.cn.
  • Sun W; School of Environment, Tsinghua University, Beijing 100084, China; Research Institute for Environmental Innovation (Suzhou) Tsinghua, Suzhou 215163, China. Electronic address: wsun@tsinghua.edu.cn.
J Environ Sci (China) ; 124: 176-186, 2023 Feb.
Article em En | MEDLINE | ID: mdl-36182128
ABSTRACT
Microbial activity and regrowth in drinking water distribution systems is a major concern for water service companies. However, previous studies have focused on the microbial composition and diversity of the drinking water distribution systems (DWDSs), with little discussion on microbial molecular ecological networks (MENs) in different water supply networks. MEN analysis explores the potential microbial interaction and the impact of environmental stress, to explain the characteristics of microbial community structures. In this study, the random matrix theory-based network analysis was employed to investigate the impact of seasonal variation including water source switching on the networks of three DWDSs that used different disinfection methods. The results showed that microbial interaction varied slightly with the seasons but was significantly influenced by different DWDSs. Proteobacteria, identified as key species, play an important role in the network. Combined UV-chlorine disinfection can effectively reduce the size and complexity of the network compared to chlorine disinfection alone, ignoring seasonal variations, which may affect microbial activity or control microbial regrowth in DWDSs. This study provides new insights for analyzing the dynamics of microbial interactions in DWDSs.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Água Potável / Purificação da Água / Desinfetantes / Microbiota Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Água Potável / Purificação da Água / Desinfetantes / Microbiota Idioma: En Ano de publicação: 2023 Tipo de documento: Article