Genomic analysis of sewage from 101 countries reveals global landscape of antimicrobial resistance
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
- Institute of Clinical Pharmacology
- Chair of Limnology
- Albanian Institute of Public Health (IPH)
- Universidad de Buenos Aires
- Charles Darwin University
- University of Copenhagen
- Canberra Hospital
- ALS Water
- University of Dhaka
- Bridgetown
- Laboratoire Hospitalier Universitaire de Bruxelles (LHUB-ULB)
- Aquafin, Belgium
- Université d'Abomey-Calavi
- Universidad Católica Boliviana
- University of Banja Luka
- Public Health Institute of the Republic of Srpska
- Botswana International University of Science and Technology
- Universidade Federal de Minas Gerais
- Oswaldo Cruz Foundation
- Instituto Tecnológico Vale
- Université de Ouagadougou
- Institut Pasteur du Cambodge
- Centre Pasteur du Cameroun
- University of Regina
- Institut national de la recherche scientifique
- Université de N'Djamena
- Universidad Andrés Bello
- TUD Dresden University of Technology
Abstract
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.
Details
Original language | English |
---|---|
Article number | 7251 |
Journal | Nature communications |
Volume | 13 |
Issue number | 1 |
Publication status | Published - Dec 2022 |
Peer-reviewed | Yes |
External IDs
PubMed | 36456547 |
---|---|
ORCID | /0000-0003-1054-8080/work/142657174 |
ORCID | /0000-0002-9301-1803/work/161409824 |