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Targeted metagenomics using bait-capture to detect antibiotic resistance genes in retail meat and seafood
Metagenomics analysis of foods has the potential to provide comprehensive data on the presence and prevalence of antimicrobial resistance (AMR) genes in the microbiome of foods. However, AMR genes are generally present in low abundance compared to other bacterial genes in the food microbiome and con...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373929/ https://www.ncbi.nlm.nih.gov/pubmed/37520363 http://dx.doi.org/10.3389/fmicb.2023.1188872 |
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author | Flint, Annika Cooper, Ashley Rao, Mary Weedmark, Kelly Carrillo, Catherine Tamber, Sandeep |
author_facet | Flint, Annika Cooper, Ashley Rao, Mary Weedmark, Kelly Carrillo, Catherine Tamber, Sandeep |
author_sort | Flint, Annika |
collection | PubMed |
description | Metagenomics analysis of foods has the potential to provide comprehensive data on the presence and prevalence of antimicrobial resistance (AMR) genes in the microbiome of foods. However, AMR genes are generally present in low abundance compared to other bacterial genes in the food microbiome and consequently require multiple rounds of in-depth sequencing for detection. Here, a metagenomics approach, using bait-capture probes targeting antimicrobial resistance and plasmid genes, is used to characterize the resistome and plasmidome of retail beef, chicken, oyster, shrimp, and veal enrichment cultures (n = 15). Compared to total shotgun metagenomics, bait-capture required approximately 40-fold fewer sequence reads to detect twice the number of AMR gene classes, AMR gene families, and plasmid genes across all sample types. For the detection of critically important extended spectrum beta-lactamase (ESBL) genes the bait capture method had a higher overall positivity rate (44%) compared to shotgun metagenomics (26%), and a culture-based method (29%). Overall, the results support the use of bait-capture for the identification of low abundance genes such as AMR genes from food samples. |
format | Online Article Text |
id | pubmed-10373929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103739292023-07-28 Targeted metagenomics using bait-capture to detect antibiotic resistance genes in retail meat and seafood Flint, Annika Cooper, Ashley Rao, Mary Weedmark, Kelly Carrillo, Catherine Tamber, Sandeep Front Microbiol Microbiology Metagenomics analysis of foods has the potential to provide comprehensive data on the presence and prevalence of antimicrobial resistance (AMR) genes in the microbiome of foods. However, AMR genes are generally present in low abundance compared to other bacterial genes in the food microbiome and consequently require multiple rounds of in-depth sequencing for detection. Here, a metagenomics approach, using bait-capture probes targeting antimicrobial resistance and plasmid genes, is used to characterize the resistome and plasmidome of retail beef, chicken, oyster, shrimp, and veal enrichment cultures (n = 15). Compared to total shotgun metagenomics, bait-capture required approximately 40-fold fewer sequence reads to detect twice the number of AMR gene classes, AMR gene families, and plasmid genes across all sample types. For the detection of critically important extended spectrum beta-lactamase (ESBL) genes the bait capture method had a higher overall positivity rate (44%) compared to shotgun metagenomics (26%), and a culture-based method (29%). Overall, the results support the use of bait-capture for the identification of low abundance genes such as AMR genes from food samples. Frontiers Media S.A. 2023-07-13 /pmc/articles/PMC10373929/ /pubmed/37520363 http://dx.doi.org/10.3389/fmicb.2023.1188872 Text en Copyright © 2023 Flint, Cooper, Rao, Weedmark, Carrillo and Tamber. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Flint, Annika Cooper, Ashley Rao, Mary Weedmark, Kelly Carrillo, Catherine Tamber, Sandeep Targeted metagenomics using bait-capture to detect antibiotic resistance genes in retail meat and seafood |
title | Targeted metagenomics using bait-capture to detect antibiotic resistance genes in retail meat and seafood |
title_full | Targeted metagenomics using bait-capture to detect antibiotic resistance genes in retail meat and seafood |
title_fullStr | Targeted metagenomics using bait-capture to detect antibiotic resistance genes in retail meat and seafood |
title_full_unstemmed | Targeted metagenomics using bait-capture to detect antibiotic resistance genes in retail meat and seafood |
title_short | Targeted metagenomics using bait-capture to detect antibiotic resistance genes in retail meat and seafood |
title_sort | targeted metagenomics using bait-capture to detect antibiotic resistance genes in retail meat and seafood |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373929/ https://www.ncbi.nlm.nih.gov/pubmed/37520363 http://dx.doi.org/10.3389/fmicb.2023.1188872 |
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