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Quantifying the transmission of antimicrobial resistance at the human and livestock interface with genomics
BACKGROUND: Livestock have been implicated as a reservoir for antimicrobial resistance (AMR) that can spread to humans. Close proximity and ecological interfaces involving livestock have been posited as risk factors for the transmission of AMR. In spite of this, there are sparse data and limited agr...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7721588/ https://www.ncbi.nlm.nih.gov/pubmed/32979568 http://dx.doi.org/10.1016/j.cmi.2020.09.019 |
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author | Wee, Bryan A. Muloi, Dishon M. van Bunnik, Bram A.D. |
author_facet | Wee, Bryan A. Muloi, Dishon M. van Bunnik, Bram A.D. |
author_sort | Wee, Bryan A. |
collection | PubMed |
description | BACKGROUND: Livestock have been implicated as a reservoir for antimicrobial resistance (AMR) that can spread to humans. Close proximity and ecological interfaces involving livestock have been posited as risk factors for the transmission of AMR. In spite of this, there are sparse data and limited agreement on the transmission dynamics that occur. OBJECTIVES: To identify how genome sequencing approaches can be used to quantify the dynamics of AMR transmission at the human–livestock interface, and where current knowledge can be improved to better understand the impact of transmission on the spread of AMR. SOURCES: Key articles investigating various aspects of AMR transmission at the human–livestock interface are discussed, with a focus on Escherichia coli. CONTENT: We recapitulate the current understanding of the transmission of AMR between humans and livestock based on current genomic and epidemiological approaches. We discuss how the use of well-designed, high-resolution genome sequencing studies can improve our understanding of the human–livestock interface. IMPLICATIONS: A better understanding of the human–livestock interface will aid in the development of evidence-based and effective One Health interventions that can ultimately reduce the burden of AMR in humans. |
format | Online Article Text |
id | pubmed-7721588 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-77215882020-12-11 Quantifying the transmission of antimicrobial resistance at the human and livestock interface with genomics Wee, Bryan A. Muloi, Dishon M. van Bunnik, Bram A.D. Clin Microbiol Infect Review BACKGROUND: Livestock have been implicated as a reservoir for antimicrobial resistance (AMR) that can spread to humans. Close proximity and ecological interfaces involving livestock have been posited as risk factors for the transmission of AMR. In spite of this, there are sparse data and limited agreement on the transmission dynamics that occur. OBJECTIVES: To identify how genome sequencing approaches can be used to quantify the dynamics of AMR transmission at the human–livestock interface, and where current knowledge can be improved to better understand the impact of transmission on the spread of AMR. SOURCES: Key articles investigating various aspects of AMR transmission at the human–livestock interface are discussed, with a focus on Escherichia coli. CONTENT: We recapitulate the current understanding of the transmission of AMR between humans and livestock based on current genomic and epidemiological approaches. We discuss how the use of well-designed, high-resolution genome sequencing studies can improve our understanding of the human–livestock interface. IMPLICATIONS: A better understanding of the human–livestock interface will aid in the development of evidence-based and effective One Health interventions that can ultimately reduce the burden of AMR in humans. Elsevier 2020-12 /pmc/articles/PMC7721588/ /pubmed/32979568 http://dx.doi.org/10.1016/j.cmi.2020.09.019 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Wee, Bryan A. Muloi, Dishon M. van Bunnik, Bram A.D. Quantifying the transmission of antimicrobial resistance at the human and livestock interface with genomics |
title | Quantifying the transmission of antimicrobial resistance at the human and livestock interface with genomics |
title_full | Quantifying the transmission of antimicrobial resistance at the human and livestock interface with genomics |
title_fullStr | Quantifying the transmission of antimicrobial resistance at the human and livestock interface with genomics |
title_full_unstemmed | Quantifying the transmission of antimicrobial resistance at the human and livestock interface with genomics |
title_short | Quantifying the transmission of antimicrobial resistance at the human and livestock interface with genomics |
title_sort | quantifying the transmission of antimicrobial resistance at the human and livestock interface with genomics |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7721588/ https://www.ncbi.nlm.nih.gov/pubmed/32979568 http://dx.doi.org/10.1016/j.cmi.2020.09.019 |
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