Literature DB >> 33774111

Twenty-first century molecular methods for analyzing antimicrobial resistance in surface waters to support One Health assessments.

A M Franklin1, N E Brinkman2, M A Jahne2, S P Keely3.   

Abstract

Antimicrobial resistance (AMR) in the environment is a growing global health concern, especially the dissemination of AMR into surface waters due to human and agricultural inputs. Within recent years, research has focused on trying to understand the impact of AMR in surface waters on human, agricultural and ecological health (One Health). While surface water quality assessments and surveillance of AMR have historically utilized culture-based methods, culturing bacteria has limitations due to difficulty in isolating environmental bacteria and the need for a priori information about the bacteria for selective isolation. The use of molecular techniques to analyze AMR at the genetic level has helped to overcome the difficulties with culture-based techniques since they do not require advance knowledge of the bacterial population and can analyze uncultivable environmental bacteria. The aim of this review is to provide an overview of common contemporary molecular methods available for analyzing AMR in surface waters, which include high throughput real-time polymerase chain reaction (HT-qPCR), metagenomics, and whole genome sequencing. This review will also feature how these methods may provide information on human and animal health risks. HT-qPCR works at the nanoliter scale, requires only a small amount of DNA, and can analyze numerous gene targets simultaneously, but may lack in analytical sensitivity and the ability to optimize individual assays compared to conventional qPCR. Metagenomics offers more detailed genomic information and taxonomic resolution than PCR by sequencing all the microbial genomes within a sample. Its open format allows for the discovery of new antibiotic resistance genes; however, the quantity of DNA necessary for this technique can be a limiting factor for surface water samples that typically have low numbers of bacteria per sample volume. Whole genome sequencing provides the complete genomic profile of a single environmental isolate and can identify all genetic elements that may confer AMR. However, a main disadvantage of this technique is that it only provides information about one bacterial isolate and is challenging to utilize for community analysis. While these contemporary techniques can quickly provide a vast array of information about AMR in surface waters, one technique does not fully characterize AMR nor its potential risks to human, animal, or ecological health. Rather, a combination of techniques (including both molecular- and culture-based) are necessary to fully understand AMR in surface waters from a One Health perspective. Published by Elsevier B.V.

Entities:  

Keywords:  Antibiotic resistance genes; Antimicrobial resistance; Environmental resistome; High throughput quantitative PCR; Human health; Metagenomics; Mobile genetic elements; Molecular methods; One Health; Risk assessment; Surface waters; Whole genome sequencing

Mesh:

Substances:

Year:  2021        PMID: 33774111      PMCID: PMC8159016          DOI: 10.1016/j.mimet.2021.106174

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  70 in total

1.  Antibiotic resistance and the environment--there and back again: Science & Society series on Science and Drugs.

Authors:  Silvia Berkner; Sabine Konradi; Jens Schönfeld
Journal:  EMBO Rep       Date:  2014-06-12       Impact factor: 8.807

2.  Toward a Comprehensive Strategy to Mitigate Dissemination of Environmental Sources of Antibiotic Resistance.

Authors:  Peter J Vikesland; Amy Pruden; Pedro J J Alvarez; Diana Aga; Helmut Bürgmann; Xiang-Dong Li; Celia M Manaia; Indumathi Nambi; Krista Wigginton; Tong Zhang; Yong-Guan Zhu
Journal:  Environ Sci Technol       Date:  2017-10-30       Impact factor: 9.028

3.  Bacterial next generation sequencing (NGS) made easy.

Authors:  P T Tassios; J Moran-Gilad
Journal:  Clin Microbiol Infect       Date:  2018-04       Impact factor: 8.067

4.  Bacterial diversity from the source to the tap: a comparative study based on 16S rRNA gene-DGGE and culture-dependent methods.

Authors:  Ivone Vaz-Moreira; Conceição Egas; Olga C Nunes; Célia M Manaia
Journal:  FEMS Microbiol Ecol       Date:  2012-09-17       Impact factor: 4.194

5.  Limited influence of hospital wastewater on the microbiome and resistome of wastewater in a community sewerage system.

Authors:  Elena Buelow; Jumamurat R Bayjanov; Eline Majoor; Rob Jl Willems; Marc Jm Bonten; Heike Schmitt; Willem van Schaik
Journal:  FEMS Microbiol Ecol       Date:  2018-07-01       Impact factor: 4.194

6.  Whole-genome sequencing based characterization of antimicrobial resistance in Enterococcus.

Authors:  Gregory H Tyson; Jonathan L Sabo; Crystal Rice-Trujillo; Jacqueline Hernandez; Patrick F McDermott
Journal:  Pathog Dis       Date:  2018-03-01       Impact factor: 3.166

7.  Co-selection and stability of bacterial antibiotic resistance by arsenic pollution accidents in source water.

Authors:  Menglu Zhang; Kun Wan; Jie Zeng; Wenfang Lin; Chengsong Ye; Xin Yu
Journal:  Environ Int       Date:  2019-11-30       Impact factor: 9.621

8.  MetaCompare: a computational pipeline for prioritizing environmental resistome risk.

Authors:  Min Oh; Amy Pruden; Chaoqi Chen; Lenwood S Heath; Kang Xia; Liqing Zhang
Journal:  FEMS Microbiol Ecol       Date:  2018-07-01       Impact factor: 4.194

Review 9.  High-throughput metagenomic technologies for complex microbial community analysis: open and closed formats.

Authors:  Jizhong Zhou; Zhili He; Yunfeng Yang; Ye Deng; Susannah G Tringe; Lisa Alvarez-Cohen
Journal:  MBio       Date:  2015-01-27       Impact factor: 7.867

10.  Plasmid Classification in an Era of Whole-Genome Sequencing: Application in Studies of Antibiotic Resistance Epidemiology.

Authors:  Alex Orlek; Nicole Stoesser; Muna F Anjum; Michel Doumith; Matthew J Ellington; Tim Peto; Derrick Crook; Neil Woodford; A Sarah Walker; Hang Phan; Anna E Sheppard
Journal:  Front Microbiol       Date:  2017-02-09       Impact factor: 5.640

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  3 in total

Review 1.  Antibiotic Resistance in the Drinking Water: Old and New Strategies to Remove Antibiotics, Resistant Bacteria, and Resistance Genes.

Authors:  Ana Catarina Duarte; Sílvia Rodrigues; Andrea Afonso; António Nogueira; Paula Coutinho
Journal:  Pharmaceuticals (Basel)       Date:  2022-03-24

Review 2.  Antibiotic Resistance: One Health One World Outlook.

Authors:  Bilal Aslam; Mohsin Khurshid; Muhammad Imran Arshad; Saima Muzammil; Maria Rasool; Nafeesa Yasmeen; Taif Shah; Tamoor Hamid Chaudhry; Muhammad Hidayat Rasool; Aqsa Shahid; Xia Xueshan; Zulqarnain Baloch
Journal:  Front Cell Infect Microbiol       Date:  2021-11-25       Impact factor: 5.293

3.  Antimicrobial resistance-Do we share more than companionship with our dogs?

Authors:  Mari Røken; Kristin Forfang; Yngvild Wasteson; Anita Haug Haaland; Hans Geir Eiken; Snorre B Hagen; Ane Mohn Bjelland
Journal:  J Appl Microbiol       Date:  2022-05-29       Impact factor: 4.059

  3 in total

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