Literature DB >> 35285243

A Metagenomic Approach for Characterizing Antibiotic Resistance Genes in Specific Bacterial Populations: Demonstration with Escherichia coli in Cattle Manure.

Bo Li1, Xu Li2, Bing Wang3, Tao Yan1.   

Abstract

The high diversity of bacterial antibiotic resistance genes (ARGs) and the different health risks due to their association with different bacterial hosts require environmental ARG risk assessment to have capabilities of both high throughput and host differentiation. Current whole genome sequencing of cultivated isolates is low in throughput, while direct metagenomic next generation sequencing (mNGS) of environmental samples is nonselective with respect to bacterial hosts. This study introduced a population metagenomic approach that combines isolate library construction and mNGS of the population metagenomic DNA, which enables studying ARGs and their association with mobile genetic elements (MGEs) in a specific bacterial population. The population metagenomic approach was demonstrated with the E. coli population in cattle manure, which detected the co-location of multiple ARGs on the same MGEs and their correspondence to the prevalence of resistance phenotypes of the E. coli isolates. When compared with direct mNGS of the cattle manure samples, the E. coli population metagenomes exhibited a significantly different resistome and an overall higher relative abundance of ARGs and horizontal gene transfer risks. IMPORTANCE Bacterial antibiotic resistance genes in the environment are ubiquitous and can pose different levels of human health risks due to their bacterial host association and subsequent mobility. This study introduced a population metagenomic approach to study ARGs and their mobility in specific bacterial populations through a combination of selective cultivation followed by next generation sequencing and bioinformatic analysis of the combined metagenome of isolates. The utility of this approach was demonstrated with the E. coli population in cattle manure samples, which showed that ARGs detected in the E. coli population corresponded to the observed resistance phenotypes, co-location of multiple ARGs on the same mobile genetic elements.

Entities:  

Keywords:  Escherichia coli; antibiotic resistance; mobile genetic elements; population metagenomic sequencing

Mesh:

Substances:

Year:  2022        PMID: 35285243      PMCID: PMC9004363          DOI: 10.1128/aem.02554-21

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   5.005


  57 in total

1.  Prevalence of Antimicrobial Resistance and Transfer of Tetracycline Resistance Genes in Escherichia coli Isolates from Beef Cattle.

Authors:  Seung Won Shin; Min Kyoung Shin; Myunghwan Jung; Kuastros Mekonnen Belaynehe; Han Sang Yoo
Journal:  Appl Environ Microbiol       Date:  2015-06-05       Impact factor: 4.792

2.  Whole-Genome Sequencing of Drug-Resistant Salmonella enterica Isolates from Dairy Cattle and Humans in New York and Washington States Reveals Source and Geographic Associations.

Authors:  Laura M Carroll; Martin Wiedmann; Henk den Bakker; Julie Siler; Steven Warchocki; David Kent; Svetlana Lyalina; Margaret Davis; William Sischo; Thomas Besser; Lorin D Warnick; Richard V Pereira
Journal:  Appl Environ Microbiol       Date:  2017-05-31       Impact factor: 4.792

3.  Influence of Manure Application on the Environmental Resistome under Finnish Agricultural Practice with Restricted Antibiotic Use.

Authors:  Johanna Muurinen; Robert Stedtfeld; Antti Karkman; Katariina Pärnänen; James Tiedje; Marko Virta
Journal:  Environ Sci Technol       Date:  2017-05-11       Impact factor: 9.028

4.  Diversity of the Tetracycline Mobilome within a Chinese Pig Manure Sample.

Authors:  Sébastien Olivier Leclercq; Chao Wang; Yaxin Zhu; Hai Wu; Xiaochen Du; Zhipei Liu; Jie Feng
Journal:  Appl Environ Microbiol       Date:  2016-10-14       Impact factor: 4.792

5.  PCR mapping of integrons reveals several novel combinations of resistance genes.

Authors:  C Lévesque; L Piché; C Larose; P H Roy
Journal:  Antimicrob Agents Chemother       Date:  1995-01       Impact factor: 5.191

6.  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

7.  A Comprehensive Analysis on Spread and Distribution Characteristic of Antibiotic Resistance Genes in Livestock Farms of Southeastern China.

Authors:  Na Wang; Xinyan Guo; Zheng Yan; Wei Wang; Biao Chen; Feng Ge; Boping Ye
Journal:  PLoS One       Date:  2016-07-07       Impact factor: 3.240

8.  Plasmid detection and assembly in genomic and metagenomic data sets.

Authors:  Dmitry Antipov; Mikhail Raiko; Alla Lapidus; Pavel A Pevzner
Journal:  Genome Res       Date:  2019-05-02       Impact factor: 9.043

9.  Risk factors for fecal carriage of drug-resistant Escherichia coli: a systematic review and meta-analysis.

Authors:  Yuan Hu; Yusuke Matsui; Lee W Riley
Journal:  Antimicrob Resist Infect Control       Date:  2020-02-11       Impact factor: 4.887

10.  Pfam: The protein families database in 2021.

Authors:  Jaina Mistry; Sara Chuguransky; Lowri Williams; Matloob Qureshi; Gustavo A Salazar; Erik L L Sonnhammer; Silvio C E Tosatto; Lisanna Paladin; Shriya Raj; Lorna J Richardson; Robert D Finn; Alex Bateman
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

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