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Genomic analysis of sewage from 101 countries reveals global landscape of antimicrobial resistance
Antimicrobial resistance (AMR) is a major threat to global health. Understanding the emergence, evolution, and transmission of individual antibiotic resistance genes (ARGs) is essential to develop sustainable strategies combatting this threat. Here, we use metagenomic sequencing to analyse ARGs in 7...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715550/ https://www.ncbi.nlm.nih.gov/pubmed/36456547 http://dx.doi.org/10.1038/s41467-022-34312-7 |
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author | Munk, Patrick Brinch, Christian Møller, Frederik Duus Petersen, Thomas N. Hendriksen, Rene S. Seyfarth, Anne Mette Kjeldgaard, Jette S. Svendsen, Christina Aaby van Bunnik, Bram Berglund, Fanny Larsson, D. G. Joakim Koopmans, Marion Woolhouse, Mark Aarestrup, Frank M. |
author_facet | Munk, Patrick Brinch, Christian Møller, Frederik Duus Petersen, Thomas N. Hendriksen, Rene S. Seyfarth, Anne Mette Kjeldgaard, Jette S. Svendsen, Christina Aaby van Bunnik, Bram Berglund, Fanny Larsson, D. G. Joakim Koopmans, Marion Woolhouse, Mark Aarestrup, Frank M. |
author_sort | Munk, Patrick |
collection | PubMed |
description | Antimicrobial resistance (AMR) is a major threat to global health. Understanding the emergence, evolution, and transmission of individual antibiotic resistance genes (ARGs) is essential to develop sustainable strategies combatting this threat. Here, we use metagenomic sequencing to analyse ARGs in 757 sewage samples from 243 cities in 101 countries, collected from 2016 to 2019. We find regional patterns in resistomes, and these differ between subsets corresponding to drug classes and are partly driven by taxonomic variation. The genetic environments of 49 common ARGs are highly diverse, with most common ARGs carried by multiple distinct genomic contexts globally and sometimes on plasmids. Analysis of flanking sequence revealed ARG-specific patterns of dispersal limitation and global transmission. Our data furthermore suggest certain geographies are more prone to transmission events and should receive additional attention. |
format | Online Article Text |
id | pubmed-9715550 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97155502022-12-03 Genomic analysis of sewage from 101 countries reveals global landscape of antimicrobial resistance Munk, Patrick Brinch, Christian Møller, Frederik Duus Petersen, Thomas N. Hendriksen, Rene S. Seyfarth, Anne Mette Kjeldgaard, Jette S. Svendsen, Christina Aaby van Bunnik, Bram Berglund, Fanny Larsson, D. G. Joakim Koopmans, Marion Woolhouse, Mark Aarestrup, Frank M. Nat Commun Article Antimicrobial resistance (AMR) is a major threat to global health. Understanding the emergence, evolution, and transmission of individual antibiotic resistance genes (ARGs) is essential to develop sustainable strategies combatting this threat. Here, we use metagenomic sequencing to analyse ARGs in 757 sewage samples from 243 cities in 101 countries, collected from 2016 to 2019. We find regional patterns in resistomes, and these differ between subsets corresponding to drug classes and are partly driven by taxonomic variation. The genetic environments of 49 common ARGs are highly diverse, with most common ARGs carried by multiple distinct genomic contexts globally and sometimes on plasmids. Analysis of flanking sequence revealed ARG-specific patterns of dispersal limitation and global transmission. Our data furthermore suggest certain geographies are more prone to transmission events and should receive additional attention. Nature Publishing Group UK 2022-12-01 /pmc/articles/PMC9715550/ /pubmed/36456547 http://dx.doi.org/10.1038/s41467-022-34312-7 Text en © The Author(s) 2022, corrected publication 2023 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 Munk, Patrick Brinch, Christian Møller, Frederik Duus Petersen, Thomas N. Hendriksen, Rene S. Seyfarth, Anne Mette Kjeldgaard, Jette S. Svendsen, Christina Aaby van Bunnik, Bram Berglund, Fanny Larsson, D. G. Joakim Koopmans, Marion Woolhouse, Mark Aarestrup, Frank M. Genomic analysis of sewage from 101 countries reveals global landscape of antimicrobial resistance |
title | Genomic analysis of sewage from 101 countries reveals global landscape of antimicrobial resistance |
title_full | Genomic analysis of sewage from 101 countries reveals global landscape of antimicrobial resistance |
title_fullStr | Genomic analysis of sewage from 101 countries reveals global landscape of antimicrobial resistance |
title_full_unstemmed | Genomic analysis of sewage from 101 countries reveals global landscape of antimicrobial resistance |
title_short | Genomic analysis of sewage from 101 countries reveals global landscape of antimicrobial resistance |
title_sort | genomic analysis of sewage from 101 countries reveals global landscape of antimicrobial resistance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715550/ https://www.ncbi.nlm.nih.gov/pubmed/36456547 http://dx.doi.org/10.1038/s41467-022-34312-7 |
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