Literature DB >> 30176445

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

Yinglong Su1, Jiaxin Wang1, Huipeng Xia1, Bing Xie2.   

Abstract

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 blaCTX-M were eliminated from both leachate and refuse, and tetM, ermB, mefA, and strB 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.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

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

Mesh:

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Year:  2018        PMID: 30176445     DOI: 10.1016/j.scitotenv.2018.08.361

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

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  2 in total

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