Literature DB >> 29300934

Effects of sample preservation and DNA extraction on enumeration of antibiotic resistance genes in wastewater.

An-Dong Li1, Jacob W Metch2, Yulin Wang1, Emily Garner2, An Ni Zhang1, Maria V Riquelme2, Peter J Vikesland2, Amy Pruden2, Tong Zhang1.   

Abstract

With the growing application of high-throughput sequencing-based metagenomics for profiling antibiotic resistance genes (ARGs) in wastewater treatment plants (WWTPs), comparison of sample pretreatment and DNA extraction methods are needed to move toward standardized comparisons among laboratories. Three widely employed DNA extraction methods (FastDNA® Spin Kit for Soil, PowerSoil® DNA Isolation Kit and ZR Fecal DNA MiniPrep), with and without preservation in 50% ethanol and freezing, were applied to the influent, activated sludge and effluent of two WWTPs, in Hong Kong and in the USA. Annotated sequences obtained from the DNA extracted using the three kits shared similar taxonomy and ARG profiles. Overall, it was found that the DNA yield and purity, and diversity of ARGs captured were all highest when applying the FastDNA SPIN Kit for Soil for all three WWTP sample types investigated here (influent, activated sludge, effluent). Quantitative polymerase chain reaction of 16S rRNA genes confirmed the same trend as DNA extraction yields and similar recovery of a representative Gram-negative bacterium (Escherichia coli). Moreover, sample fixation in ethanol, deep-freezing and overseas shipment had no discernable effect on ARG profiles, as compared to fresh samples. This approach serves to inform future efforts toward global comparisons of ARG distributions in WWTPs. © FEMS 2017. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  DNA extraction; antibiotic resistance genes; global comparison; metagenomics; wastewater treatment

Mesh:

Substances:

Year:  2018        PMID: 29300934     DOI: 10.1093/femsec/fix189

Source DB:  PubMed          Journal:  FEMS Microbiol Ecol        ISSN: 0168-6496            Impact factor:   4.194


  6 in total

1.  Potential use of high-throughput sequencing of bacterial communities for postmortem submersion interval estimation.

Authors:  Jing He; Juanjuan Guo; Xiaoliang Fu; Jifeng Cai
Journal:  Braz J Microbiol       Date:  2019-07-30       Impact factor: 2.476

Review 2.  The Present and Future of Whole Genome Sequencing (WGS) and Whole Metagenome Sequencing (WMS) for Surveillance of Antimicrobial Resistant Microorganisms and Antimicrobial Resistance Genes across the Food Chain.

Authors:  Elena A Oniciuc; Eleni Likotrafiti; Adrián Alvarez-Molina; Miguel Prieto; Jesús A Santos; Avelino Alvarez-Ordóñez
Journal:  Genes (Basel)       Date:  2018-05-22       Impact factor: 4.096

3.  NanoARG: a web service for detecting and contextualizing antimicrobial resistance genes from nanopore-derived metagenomes.

Authors:  G A Arango-Argoty; D Dai; A Pruden; P Vikesland; L S Heath; L Zhang
Journal:  Microbiome       Date:  2019-06-07       Impact factor: 14.650

4.  Identification of discriminatory antibiotic resistance genes among environmental resistomes using extremely randomized tree algorithm.

Authors:  Suraj Gupta; Gustavo Arango-Argoty; Liqing Zhang; Amy Pruden; Peter Vikesland
Journal:  Microbiome       Date:  2019-08-29       Impact factor: 14.650

5.  Critical evaluation of short, long, and hybrid assembly for contextual analysis of antibiotic resistance genes in complex environmental metagenomes.

Authors:  Connor L Brown; Ishi M Keenum; Dongjuan Dai; Liqing Zhang; Peter J Vikesland; Amy Pruden
Journal:  Sci Rep       Date:  2021-02-12       Impact factor: 4.379

6.  Long-read metagenomic sequencing reveals shifts in associations of antibiotic resistance genes with mobile genetic elements from sewage to activated sludge.

Authors:  Dongjuan Dai; Connor Brown; Helmut Bürgmann; D G Joakim Larsson; Indumathi Nambi; Tong Zhang; Carl-Fredrik Flach; Amy Pruden; Peter J Vikesland
Journal:  Microbiome       Date:  2022-01-29       Impact factor: 14.650

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.