Fate of antibiotic resistant bacteria and genes during wastewater chlorination: implication for antibiotic resistance control

PloS One
Qing-Bin YuanJian Yang

Abstract

This study investigated fates of nine antibiotic-resistant bacteria as well as two series of antibiotic resistance genes in wastewater treated by various doses of chlorine (0, 15, 30, 60, 150 and 300 mg Cl2 min/L). The results indicated that chlorination was effective in inactivating antibiotic-resistant bacteria. Most bacteria were inactivated completely at the lowest dose (15 mg Cl2 min/L). By comparison, sulfadiazine- and erythromycin-resistant bacteria exhibited tolerance to low chlorine dose (up to 60 mg Cl2 min/L). However, quantitative real-time PCRs revealed that chlorination decreased limited erythromycin or tetracycline resistance genes, with the removal levels of overall erythromycin and tetracycline resistance genes at 0.42 ± 0.12 log and 0.10 ± 0.02 log, respectively. About 40% of erythromycin-resistance genes and 80% of tetracycline resistance genes could not be removed by chlorination. Chlorination was considered not effective in controlling antimicrobial resistance. More concern needs to be paid to the potential risk of antibiotic resistance genes in the wastewater after chlorination.

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Citations

Apr 20, 2016·The Science of the Total Environment·Giovanna FerroLuigi Rizzo
Dec 9, 2016·New Zealand Veterinary Journal·L J Toombs-RuaneN P French
Feb 10, 2017·Frontiers in Microbiology·Satoru SuzukiTong Zhang
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May 23, 2019·Environmental Science and Pollution Research International·Zuzana BytesnikovaVojtech Adam
Jul 8, 2016·Environmental Science and Pollution Research International·Qing-Bin YuanJian Yang
Jun 14, 2018·International Journal of Environmental Research and Public Health·Aboi IgwaranAnthony Ifeanyi Okoh
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Mar 11, 2021·The Journal of Physical Chemistry. B·Da GaoWeifeng Li
Mar 26, 2021·Environmental Science and Pollution Research International·Sakina BombaywalaSunil Kumar
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Sep 4, 2019·The Science of the Total Environment·Magdalena PazdaEwa Mulkiewicz

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Methods Mentioned

BETA
PCR
electrophoresis

Software Mentioned

SPSS

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