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Screening of global microbiomes implies ecological boundaries impacting the distribution and dissemination of clinically relevant antimicrobial resistance genes

Understanding the myriad pathways by which antimicrobial-resistance genes (ARGs) spread across biomes is necessary to counteract the global menace of antimicrobial resistance. We screened 17939 assembled metagenomic samples covering 21 biomes, differing in sequencing quality and depth, unevenly acro...

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Autores principales: Lin, Qiang, Xavier, Basil Britto, Alako, Blaise T. F., Mitchell, Alex L., Rajakani, Sahaya Glingston, Glupczynski, Youri, Finn, Robert D., Cochrane, Guy, Malhotra-Kumar, Surbhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674584/
https://www.ncbi.nlm.nih.gov/pubmed/36400841
http://dx.doi.org/10.1038/s42003-022-04187-x
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author Lin, Qiang
Xavier, Basil Britto
Alako, Blaise T. F.
Mitchell, Alex L.
Rajakani, Sahaya Glingston
Glupczynski, Youri
Finn, Robert D.
Cochrane, Guy
Malhotra-Kumar, Surbhi
author_facet Lin, Qiang
Xavier, Basil Britto
Alako, Blaise T. F.
Mitchell, Alex L.
Rajakani, Sahaya Glingston
Glupczynski, Youri
Finn, Robert D.
Cochrane, Guy
Malhotra-Kumar, Surbhi
author_sort Lin, Qiang
collection PubMed
description Understanding the myriad pathways by which antimicrobial-resistance genes (ARGs) spread across biomes is necessary to counteract the global menace of antimicrobial resistance. We screened 17939 assembled metagenomic samples covering 21 biomes, differing in sequencing quality and depth, unevenly across 46 countries, 6 continents, and 14 years (2005-2019) for clinically crucial ARGs, mobile colistin resistance (mcr), carbapenem resistance (CR), and (extended-spectrum) beta-lactamase (ESBL and BL) genes. These ARGs were most frequent in human gut, oral and skin biomes, followed by anthropogenic (wastewater, bioreactor, compost, food), and natural biomes (freshwater, marine, sediment). Mcr-9 was the most prevalent mcr gene, spatially and temporally; bla(OXA-233) and bla(TEM-1) were the most prevalent CR and BL/ESBL genes, but bla(GES-2) and bla(TEM-116) showed the widest distribution. Redundancy analysis and Bayesian analysis showed ARG distribution was non-random and best-explained by potential host genera and biomes, followed by collection year, anthropogenic factors and collection countries. Preferential ARG occurrence, and potential transmission, between characteristically similar biomes indicate strong ecological boundaries. Our results provide a high-resolution global map of ARG distribution and importantly, identify checkpoint biomes wherein interventions aimed at disrupting ARGs dissemination are likely to be most effective in reducing dissemination and in the long term, the ARG global burden.
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spelling pubmed-96745842022-11-20 Screening of global microbiomes implies ecological boundaries impacting the distribution and dissemination of clinically relevant antimicrobial resistance genes Lin, Qiang Xavier, Basil Britto Alako, Blaise T. F. Mitchell, Alex L. Rajakani, Sahaya Glingston Glupczynski, Youri Finn, Robert D. Cochrane, Guy Malhotra-Kumar, Surbhi Commun Biol Article Understanding the myriad pathways by which antimicrobial-resistance genes (ARGs) spread across biomes is necessary to counteract the global menace of antimicrobial resistance. We screened 17939 assembled metagenomic samples covering 21 biomes, differing in sequencing quality and depth, unevenly across 46 countries, 6 continents, and 14 years (2005-2019) for clinically crucial ARGs, mobile colistin resistance (mcr), carbapenem resistance (CR), and (extended-spectrum) beta-lactamase (ESBL and BL) genes. These ARGs were most frequent in human gut, oral and skin biomes, followed by anthropogenic (wastewater, bioreactor, compost, food), and natural biomes (freshwater, marine, sediment). Mcr-9 was the most prevalent mcr gene, spatially and temporally; bla(OXA-233) and bla(TEM-1) were the most prevalent CR and BL/ESBL genes, but bla(GES-2) and bla(TEM-116) showed the widest distribution. Redundancy analysis and Bayesian analysis showed ARG distribution was non-random and best-explained by potential host genera and biomes, followed by collection year, anthropogenic factors and collection countries. Preferential ARG occurrence, and potential transmission, between characteristically similar biomes indicate strong ecological boundaries. Our results provide a high-resolution global map of ARG distribution and importantly, identify checkpoint biomes wherein interventions aimed at disrupting ARGs dissemination are likely to be most effective in reducing dissemination and in the long term, the ARG global burden. Nature Publishing Group UK 2022-11-18 /pmc/articles/PMC9674584/ /pubmed/36400841 http://dx.doi.org/10.1038/s42003-022-04187-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lin, Qiang
Xavier, Basil Britto
Alako, Blaise T. F.
Mitchell, Alex L.
Rajakani, Sahaya Glingston
Glupczynski, Youri
Finn, Robert D.
Cochrane, Guy
Malhotra-Kumar, Surbhi
Screening of global microbiomes implies ecological boundaries impacting the distribution and dissemination of clinically relevant antimicrobial resistance genes
title Screening of global microbiomes implies ecological boundaries impacting the distribution and dissemination of clinically relevant antimicrobial resistance genes
title_full Screening of global microbiomes implies ecological boundaries impacting the distribution and dissemination of clinically relevant antimicrobial resistance genes
title_fullStr Screening of global microbiomes implies ecological boundaries impacting the distribution and dissemination of clinically relevant antimicrobial resistance genes
title_full_unstemmed Screening of global microbiomes implies ecological boundaries impacting the distribution and dissemination of clinically relevant antimicrobial resistance genes
title_short Screening of global microbiomes implies ecological boundaries impacting the distribution and dissemination of clinically relevant antimicrobial resistance genes
title_sort screening of global microbiomes implies ecological boundaries impacting the distribution and dissemination of clinically relevant antimicrobial resistance genes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674584/
https://www.ncbi.nlm.nih.gov/pubmed/36400841
http://dx.doi.org/10.1038/s42003-022-04187-x
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