Literature DB >> 31351330

The correlation between antibiotic resistance gene abundance and microbial community resistance in pig farm wastewater and surrounding rivers.

Yiwen Yang1, Zixiao Liu1, Sicheng Xing1, Xindi Liao2.   

Abstract

Antimicrobial resistance gene (ARG) abundance and microbial resistance (MR) are often used as important indicators of pollution risk; however, the relationship between ARGs abundance and MR in pig farm wastewater remains unknown. In this study, the raw pig farm wastewater, effluent water, upstream river water, domestic wastewater and downstream river water samples were collected. The concentration of 20 subtypes of ARGs and 2 integrons, minimal inhibit concentration (MIC), and bacterial communities were investigated. In this study, 20 subtypes of ARGs and integrons were detected in all sampling sites. The highest abundance of 17 of the 20 subtypes of ARGs was detected in raw pig farm wastewater, and ermA had the maximum average abundance of 108 copies/mL, with up to 2.41 ± 0.12 × 108 copies/mL. There was no significant correlation between MR to three antibiotics (ciprofloxacin, streptomycin and tetracycline hydrochloride) and the abundance of their corresponding ARGs (P > 0.05), and a large difference was detected between the types of ARGs co-occur bacteria and resistance co-occur bacteria in the 5 sampling sites. And the pig farm wastewater treatment (WWT) could effectively reduce the ARGs and MR to the 3 antibiotics. The results presented here show that there may be no obvious correlation between ARGs and MCR in pig farm wastewater and surrounding rivers, which may be due to various environmental factors, highlighting the urgent need for a comprehensive evaluation of relationship between ARGs abundance and MR.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Antimicrobial resistance gene (ARG); Microbial resistance (MR); Pig farm; Wastewater

Mesh:

Substances:

Year:  2019        PMID: 31351330     DOI: 10.1016/j.ecoenv.2019.109452

Source DB:  PubMed          Journal:  Ecotoxicol Environ Saf        ISSN: 0147-6513            Impact factor:   6.291


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  6 in total

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