Molecular ecological networks reveal the spatial-temporal variation of microbial communities in drinking water distribution systems

Microbial activity and regrowth in drinking water distribution systems is a major concem for water service companies. However, previous studies have focused on the microbial com-position and diversity of the drinking water distribution systems (DWDSs), with little discus-sion 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. Proteobacte-ria, 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 chlo-rine 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. (c) 2022 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.

Automated summary

This study investigated the impact of seasonal variation and different disinfection methods on the microbial molecular ecological networks (MENs) in drinking water distribution systems (DWDSs) using network analysis. The results showed that microbial interaction was influenced by seasons and different DWDSs, and combined UV-chlorine disinfection reduced the size and complexity of the network. This study provides valuable insights for understanding the dynamics of microbial interactions in DWDSs.