Monitoring antibiotic resistance genes in wastewater treatment: Current strategies and future challenges-Reference-Cited by-同舟云学术

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Monitoring antibiotic resistance genes in wastewater treatment: Current strategies and future challenges

Published:2021-08 Issue: Volume:783 Page:146964
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Nguyen Anh Q.,Vu Hang P.,Nguyen Luong N.,Wang Qilin,Djordjevic Steven P.,Donner Erica,Yin Huabing,Nghiem Long D.

Funder

University of Technology Sydney

Natural Environment Research Council

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference176 articles.

1. Removal of bacterial contaminants and antibiotic resistance genes by conventional wastewater treatment processes in Saudi Arabia: is the treated wastewater safe to reuse for agricultural irrigation?;Al-Jassim;Water Res.,2015

2. DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data;Arango-Argoty;Microbiome,2018

3. NanoARG: a web service for detecting and contextualizing antimicrobial resistance genes from nanopore-derived metagenomes;Arango-Argoty;Microbiome,2019

4. Antimicrobial resistance and virulence: a successful or deleterious association in the bacterial world?;Beceiro;Clin. Microbiol. Rev.,2013

5. Berglund B, Fick J, Lindgren PE. Urban wastewater effluent increases antibiotic resistance gene concentrations in a receiving northern European river. Environ. Toxicol. Chem. 2015; 34: 192–6.

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