Literature DB >> 26890482

High-throughput profiling of antibiotic resistance genes in drinking water treatment plants and distribution systems.

Like Xu1, Weiying Ouyang2, Yanyun Qian1, Chao Su1, Jianqiang Su2, Hong Chen3.   

Abstract

Antibiotic resistance genes (ARGs) are present in surface water and often cannot be completely eliminated by drinking water treatment plants (DWTPs). Improper elimination of the ARG-harboring microorganisms contaminates the water supply and would lead to animal and human disease. Therefore, it is of utmost importance to determine the most effective ways by which DWTPs can eliminate ARGs. Here, we tested water samples from two DWTPs and distribution systems and detected the presence of 285 ARGs, 8 transposases, and intI-1 by utilizing high-throughput qPCR. The prevalence of ARGs differed in the two DWTPs, one of which employed conventional water treatments while the other had advanced treatment processes. The relative abundance of ARGs increased significantly after the treatment with biological activated carbon (BAC), raising the number of detected ARGs from 76 to 150. Furthermore, the final chlorination step enhanced the relative abundance of ARGs in the finished water generated from both DWTPs. The total enrichment of ARGs varied from 6.4-to 109.2-fold in tap water compared to finished water, among which beta-lactam resistance genes displayed the highest enrichment. Six transposase genes were detected in tap water samples, with the transposase gene TnpA-04 showing the greatest enrichment (up to 124.9-fold). We observed significant positive correlations between ARGs and mobile genetic elements (MGEs) during the distribution systems, indicating that transposases and intI-1 may contribute to antibiotic resistance in drinking water. To our knowledge, this is the first study to investigate the diversity and abundance of ARGs in drinking water treatment systems utilizing high-throughput qPCR techniques in China.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Antibiotic resistance genes; Drinking water treatment plants; High-throughput qPCR; Tap water

Mesh:

Substances:

Year:  2016        PMID: 26890482     DOI: 10.1016/j.envpol.2016.02.013

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  22 in total

Review 1.  Antibiotic resistance genes in China: occurrence, risk, and correlation among different parameters.

Authors:  Wenxing Zhao; Bin Wang; Gang Yu
Journal:  Environ Sci Pollut Res Int       Date:  2018-06-12       Impact factor: 4.223

2.  Antimicrobial resistance: A new threat from disinfection byproducts and disinfection of drinking water?

Authors:  Dan Li; April Z Gu
Journal:  Curr Opin Environ Sci Health       Date:  2019

3.  Detection of Antibiotic Resistance Genes in Source and Drinking Water Samples from a First Nations Community in Canada.

Authors:  Dinesh M Fernando; Hein Min Tun; Jenna Poole; Rakesh Patidar; Ru Li; Ruidong Mi; Geethani E A Amarawansha; W G Dilantha Fernando; Ehsan Khafipour; Annemieke Farenhorst; Ayush Kumar
Journal:  Appl Environ Microbiol       Date:  2016-07-15       Impact factor: 4.792

4.  Exploring antibiotic resistance in environmental integron-cassettes through intI-attC amplicons deep sequencing.

Authors:  Marcela França Dias; Giovanni Marques de Castro; Magna Cristina de Paiva; Mariana de Paula Reis; Susanne Facchin; Anderson Oliveira do Carmo; Marta Salgueiro Alves; Maria Luíza Suhadolnik; Amanda de Moraes Motta; Isabel Henriques; Evanguedes Kalapothakis; Francisco Pereira Lobo; Andréa Maria Amaral Nascimento
Journal:  Braz J Microbiol       Date:  2020-11-27       Impact factor: 2.476

5.  A Quantitative Metagenomic Sequencing Approach for High-Throughput Gene Quantification and Demonstration with Antibiotic Resistance Genes.

Authors:  Bo Li; Xu Li; Tao Yan
Journal:  Appl Environ Microbiol       Date:  2021-07-27       Impact factor: 4.792

6.  Metagenomic insights into dissemination of antibiotic resistance across bacterial genera in wastewater treatment.

Authors:  Xiaoxiao Cheng; Jiannong Xu; Geoffrey Smith; Yanyan Zhang
Journal:  Chemosphere       Date:  2021-01-07       Impact factor: 7.086

7.  Biochar Addition Increases the Rates of Dissimilatory Iron Reduction and Methanogenesis in Ferrihydrite Enrichments.

Authors:  Guo-Wei Zhou; Xiao-Ru Yang; Christopher W Marshall; Hu Li; Bang-Xiao Zheng; Yu Yan; Jian-Qiang Su; Yong-Guan Zhu
Journal:  Front Microbiol       Date:  2017-04-06       Impact factor: 5.640

8.  The use of minimum selectable concentrations (MSCs) for determining the selection of antimicrobial resistant bacteria.

Authors:  Sadia Khan; Tara K Beattie; Charles W Knapp
Journal:  Ecotoxicology       Date:  2017-02-02       Impact factor: 2.823

9.  Disparate Antibiotic Resistance Gene Quantities Revealed across 4 Major Cities in California: A Survey in Drinking Water, Air, and Soil at 24 Public Parks.

Authors:  Cristina M Echeverria-Palencia; Vanessa Thulsiraj; Nghi Tran; Cody A Ericksen; Isabel Melendez; Michael G Sanchez; Devin Walpert; Tony Yuan; Elizabeth Ficara; Niru Senthilkumar; Fangfang Sun; Renjie Li; Marisol Hernandez-Cira; Demi Gamboa; Heather Haro; Suzanne E Paulson; Yifang Zhu; Jennifer A Jay
Journal:  ACS Omega       Date:  2017-05-24

10.  Primer set 2.0 for highly parallel qPCR array targeting antibiotic resistance genes and mobile genetic elements.

Authors:  Robert D Stedtfeld; Xueping Guo; Tiffany M Stedtfeld; Hongjie Sheng; Maggie R Williams; Kristin Hauschild; Santosh Gunturu; Leo Tift; Fang Wang; Adina Howe; Benli Chai; Daqiang Yin; James R Cole; James M Tiedje; Syed A Hashsham
Journal:  FEMS Microbiol Ecol       Date:  2018-09-01       Impact factor: 4.194

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