Microbial Community Evolution and Fate of Antibiotic Resistance Genes along Six Different Full-Scale Municipal Wastewater Treatment Processes

Research output: Contribution to journalJournal article – Annual report year: 2019Researchpeer-review

  • Author: Tong, Juan

    Chinese Academy of Sciences, China

  • Author: Tang, Anping

    Chinese Academy of Sciences, China

  • Author: Wang, Hongyan

    Chinese Academy of Sciences, China

  • Author: Huang, Zhaohua

    Chinese Academy of Sciences, China

  • Author: Wang, Ziyue

    Chinese Academy of Sciences, China

  • Author: Zhang, Junya

    Chinese Academy of Sciences, China

  • Author: Wei, Yuansong

    Chinese Academy of Sciences, China

  • Author: Su, Yanyan

    Carlsberg Research Center, Denmark

  • Author: Zhang, Yifeng

    Residual Resource Engineering, Department of Environmental Engineering, Technical University of Denmark, Bygningstorvet, 2800, Kgs. Lyngby, Denmark

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The evolution of microbial community and the fate of ARGs along different full-scale wastewater treatment processes (i.e., Anaerobic-Anoxic-Oxic, Oxidation Ditch, and Cyclic Activated Sludge System) were investigated in this study. We found that the sludges of bioreactors treating similar influent showed the similar microbial communities, independent of the treatment technologies. The horizontal gene transfer (HGT) mainly occurred in aeration tank rather that anaerobic/anoxic tank. More co-occurrence of potential pathogens and ARGs was found in wastewater than in sludge. Microbial biomass was the key driver for the fate of ARGs in wastewater, while mobile genetic elements (MGEs) was the key factor for the fate of ARGs in sludge. Combination of wastewater characteristics, microbial diversity, microbial biomass, and MGEs contributed to the variation of ARGs. Finally, it was found that enhanced nutrients removal process and tertiary treatment would benefit ARGs removal.
Original languageEnglish
JournalBioresource Technology
Pages (from-to)489-500
Publication statusPublished - 2019
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Antibiotic resistance genes, Microbial community evolution, Full-scale wastewater treatment plan, Network analysis, Multiple linear regression
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ID: 158700312