Literature DB >> 29753149

Exploring abundance, diversity and variation of a widespread antibiotic resistance gene in wastewater treatment plants.

Ziyan Wei1, Kai Feng1, Shuzhen Li2, Yu Zhang3, Hongrui Chen3, Huaqun Yin4, Meiying Xu5, Ye Deng6.   

Abstract

An updated sul1 gene sequence database was constructed and new degenerate primers were designed to better investigate the abundance, diversity, and variation of a ubiquitous antibiotic resistance gene, sul1, with PCR-based methods in activated sludge from wastewater treatment plants (WWTPs). The newly designed degenerate primers showed high specificity and higher coverage in both in-silico evaluations and activated sludge samples compared to previous sul1 primers. Using the new primers, the abundance and diversity of sul1 gene, together with 16S rRNA gene, in activated sludge from five WWTPs in summer and winter were determined by quantitative PCR and MiSeq sequencing. The sul1 gene was found to be prevalent and displayed a comparable abundance (0.081 copies per bacterial cell in average) to the total bacteria across all samples. However, compared to the significant seasonal and geographical divergences in the quantity and diversity of bacterial communities in WWTPs, there were no significant seasonal or geographical variations of representative clusters of sul1 gene in most cases. Additionally, the representative sul1 clusters showed fairly close phylogeny and there was no obvious correlation between sul1 gene and the dominant bacterial genera, as well as the int1 gene, suggesting that bacterial hosts of sul1 gene is not stable, the sul1 gene may be carried by mobile genetic elements, sometimes integrated with class 1 integrons and sometimes not. Thus mobile genetic elements likely play a greater role than specific microbial taxa in determining the composition of sul1 gene in WWTPs.
Copyright © 2018. Published by Elsevier Ltd.

Entities:  

Keywords:  16S rRNA; Degenerate primer design; MiSeq sequencing; Quantitative PCR; sul1

Mesh:

Substances:

Year:  2018        PMID: 29753149     DOI: 10.1016/j.envint.2018.05.009

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  5 in total

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Authors:  Bingbing Du; Qingxiang Yang; Ruifei Wang; Ruimin Wang; Qiang Wang; Yuan Xin
Journal:  Int J Environ Res Public Health       Date:  2019-11-25       Impact factor: 3.390

2.  Fate of antibiotic resistant E. coli and antibiotic resistance genes during full scale conventional and advanced anaerobic digestion of sewage sludge.

Authors:  Sky Redhead; Jeroen Nieuwland; Sandra Esteves; Do-Hoon Lee; Dae-Wi Kim; Jordan Mathias; Chang-Jun Cha; Mark Toleman; Richard Dinsdale; Alan Guwy; Emma Hayhurst
Journal:  PLoS One       Date:  2020-12-01       Impact factor: 3.240

3.  Antibiotrophy: Key Function for Antibiotic-Resistant Bacteria to Colonize Soils-Case of Sulfamethazine-Degrading Microbacterium sp. C448.

Authors:  Loren Billet; Stéphane Pesce; Nadine Rouard; Aymé Spor; Laurianne Paris; Martin Leremboure; Arnaud Mounier; Pascale Besse-Hoggan; Fabrice Martin-Laurent; Marion Devers-Lamrani
Journal:  Front Microbiol       Date:  2021-03-26       Impact factor: 5.640

4.  Metagenomic analysis of MWWTP effluent treated via solar photo-Fenton at neutral pH: Effects upon microbial community, priority pathogens, and antibiotic resistance genes.

Authors:  Pâmela B Vilela; Rondon P Mendonça Neto; Maria Clara V M Starling; Alessandra da S Martins; Giovanna F F Pires; Felipe A R Souza; Camila C Amorim
Journal:  Sci Total Environ       Date:  2021-08-12       Impact factor: 7.963

5.  The Sources and Potential Hosts Identification of Antibiotic Resistance Genes in the Yellow River, Revealed by Metagenomic Analysis.

Authors:  Kai Zhang; Kuangjia Li; Ziyi Liu; Qidi Li; Wenpeng Li; Qi Chen; Yangchun Xia; Feiyue Hu; Fengxia Yang
Journal:  Int J Environ Res Public Health       Date:  2022-08-21       Impact factor: 4.614

  5 in total

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