4.7 Article

Comparative network analysis revealing the mechanisms of antibiotic resistance genes removal by leachate recirculation under different hydraulic loadings

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 649, Issue -, Pages 318-326

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2018.08.361

Keywords

Antibiotic resistance genes; Leachate recirculation; Hydraulic loadings; Removal mechanism; Host bacterial taxonomy

Funding

  1. National Science Foundation of China [21577038, 31370510]
  2. China Postdoctoral Science Foundation [2017M611504]
  3. Shanghai Tongji Gao Tingyao Environmental Science AMP
  4. Technology Development Foundation (STGEF)

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The wide dissemination of antibiotic resistance is a pervasive global health threat, and landfill leachate has been an important hotspot of antibiotic resistance genes (ARGs). This study aimed to investigate the removal performance and mechanism of ARGs from leachate under different hydraulic loadings. ARGs removal efficiencies were dependent on hydraulic loadings and ARGs types other than operating time, and reactors operated with hydraulic loadings of 25 and 50 L. m(-3). d(-1) exhibited greater removal potential than 100 L. m(-3).d(-1). ARGs removal patterns varied from different subtypes, for genes sul2, tetQ aadA1 and bla(CTX.M) were eliminated from both leachate and refuse, and tetM.ermB. mefA, and stria were removed from leachate but enriched in refuse. Under different hydraulic loadings, bacterial communities shift shaped ARGs fates in leachate, but refuse had more stable antibiotic resistome and community structure. The topology comparison analysis of co-occurrence network suggested a closer hosting relationship between ARGs and genera in refuse than leachate. Furthermore, taxonomic category of host bacteria other than diversity of host genera determined the ARGs removal, and the ARGs harbored in phyla Cyanobacteria, Tenericutes and Acidobacteria were more likely to be removed. These findings can potentially foster the understanding of ARGs removal mechanism in biological treatment processes under different operating conditions. (C) 2018 Elsevier B.V. All rights reserved.

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