Hydraulic and thermal performance trigger the deterministic assembly of water microbiomes: From biogeographical homogenization to machine learning model.

Journal: Water research
Published Date:

Abstract

Water quality at the point of consumption has long been a health issue because of the potential for microbial ecology. However, research on water hydraulic performance remains in its infancy, and in particular, little is known about the effects of thermal performance during winter. This study explored the effects of stagnation and municipal heating on microbial communities in tap water, focusing on spatial and temporal variations in microbial community composition. The results revealed that stagnation significantly alters the microbial community, especially in heating areas, where the temperature exacerbates microbial growth. Furthermore, hydraulic and thermal performance drive deterministic assembly processes in microbial communities, as evidenced by the reductions in β-diversity, normalized stochasticity ratio (NST), and neutral community model (NCM) fit. Machine learning models revealed that stagnation time greater than 8 h results in increased community abundance because of longer exposure to organic matter and nutrients. The study finding illustrate the importance of environmental influences on microbial community dynamics, and provide valuable insights into the water microbial community, particularly in areas with prolonged stagnation.

Authors

  • Guilin Wu
    Collaborative Innovation Center of Water Pollution Control and Water Quality Security Assurance of Shaanxi Province, Xi'an University of Architecture and Technology, Xi'an, China; Shaanxi Provincial Field Scientific Observation and Research Station of Water Quality in Qinling Mountain, Xi'an University of Architecture and Technology, Xi'an, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an, China.
  • Haihan Zhang
    College of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China; Hunan Engineering Research Center of Poultry Production Safety, Changsha, Hunan, China; Yuelushan Laboratory, Changsha 410128, China. Electronic address: zhhous@163.com.
  • Tinglin Huang
    Collaborative Innovation Center of Water Pollution Control and Water Quality Security Assurance of Shaanxi Province, Xi'an University of Architecture and Technology, Xi'an, China; Shaanxi Provincial Field Scientific Observation and Research Station of Water Quality in Qinling Mountain, Xi'an University of Architecture and Technology, Xi'an, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an, China.
  • Yutong Song
    School of Future Technology, Xi'an University of Architecture and Technology, Xi'an, China.
  • Xiang Liu
    College of Agricultural Science and Engineering, Hohai University, Nanjing 210098, China; Anhui Provincial Key Laboratory of Environmental Pollution Control and Resource Reuse, Anhui Jianzhu University, Hefei 230009, China.
  • Xiaoyan Liu
    College of Information Technology, Jilin Agricultural University, Changchun, China.
  • Xiaolong Wang
    Cardiovascular Department, Shuguang Hospital Affiliated to Shanghai University of TCM Shanghai, China.
  • Tingting Pei
    Collaborative Innovation Center of Water Pollution Control and Water Quality Security Assurance of Shaanxi Province, Xi'an University of Architecture and Technology, Xi'an, China; Shaanxi Provincial Field Scientific Observation and Research Station of Water Quality in Qinling Mountain, Xi'an University of Architecture and Technology, Xi'an, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an, China.
  • Guojia Xu
    Collaborative Innovation Center of Water Pollution Control and Water Quality Security Assurance of Shaanxi Province, Xi'an University of Architecture and Technology, Xi'an, China; Shaanxi Provincial Field Scientific Observation and Research Station of Water Quality in Qinling Mountain, Xi'an University of Architecture and Technology, Xi'an, China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an, China.
  • Zhihan Wang
    Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China.