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Longitudinal dynamics and cross-domain interactions of eukaryotic populations in wastewater treatment plants

  • Yue Huang
  • , Xuemei Mao
  • , Xiawan Zheng
  • , Yuxiang Zhao
  • , Dou Wang
  • , Mengying Wang
  • , Yiqiang Chen
  • , Lei Liu
  • , Yulin Wang
  • , Martin F. Polz
  • , Tong Zhang*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

3 Downloads (CityUHK Scholars)

Abstract

Activated sludge is a large reservoir of novel microorganisms and microbial genetic diversity. While much attention has been given to the profile and functions of prokaryotes, the eukaryotic diversity remains largely unexplored. In this study, we analysed longitudinal activated sludge samples spanning 13 years from the largest secondary wastewater treatment plants in Hong Kong, unveiling a wealth of eukaryotic taxa and 681 856 non-redundant protein-coding genes, the majority (416 044) of which appeared novel. Ciliophora was the most dominant phylum with a significant increase after a transient intervention (bleaching event). Our metagenomic analysis reveals close linkage and covariation of eukaryotes, prokaryotes, and prokaryotic viruses (phages), indicating common responses to environmental changes such as transient intervention and intermittent fluctuations. Furthermore, high-resolution cross-domain relationships were interpreted by S-map, demonstrating a predatory role of Arthropoda, Ascomycota, Mucoromycota, and Rotifera. This high-resolution profile of microbial dynamics expands our knowledge on yet-to-be-cultured populations and their cross-domain interactions and highlights the ecological importance of eukaryotes in the activated sludge ecosystem. © The Author(s) 2025. Published by Oxford University Press on behalf of the International Society for Microbial Ecology.
Original languageEnglish
Article numberwraf058
JournalISME Journal
Volume19
Issue number1
Online published4 Apr 2025
DOIs
Publication statusPublished - 2025
Externally publishedYes

Funding

This work was supported by Hong Kong GRF (17212124) and the TRS project (T21-705/20-N) of Hong Kong RGC. Y.H. wishes to thank The University of Hong Kong for the postdoctoral research fellowship and HKU Computer Center for providing the High Performance Computing System (HPC). The authors would also like to thank Dr. Bing Li, Dr. Qingmei Yan, Dr. Lin Ye, Dr. Feng Ju, Dr. Xiaotao Jiang, Dr. Yulin Wang, Dr. You Che, Dr. Lei Liu, Dr. Yiqiang Chen, and Dr. Weifu Yan for their contributions to the sample collection. In-depth discussions with Dr. Zhong Yu and technical support from Ms. Vicky Fung are greatly appreciated. We also thank Drainage Services Department for sharing the operation data.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation

Research Keywords

  • activated sludge
  • cross-domain interactions
  • eukaryotes
  • metatranscriptomics
  • wastewater treatment plants

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

RGC Funding Information

  • RGC-funded

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