Global monitoring of antimicrobial resistance based on metagenomics analyses of urban sewage

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Global Sewage Surveillance , Hendriksen , R S , Munk , P , Njage , P , Heikinheimo , A & Berzins , A 2019 , ' Global monitoring of antimicrobial resistance based on metagenomics analyses of urban sewage ' , Nature Communications , vol. 10 , 1124 . https://doi.org/10.1038/s41467-019-08853-3

Title: Global monitoring of antimicrobial resistance based on metagenomics analyses of urban sewage
Author: Global Sewage Surveillance; Hendriksen, Rene S.; Munk, Patrick; Njage, Patrick; Heikinheimo, Annamari; Berzins, Aivars
Contributor: University of Helsinki, Food Hygiene and Environmental Health
University of Helsinki, Food Hygiene and Environmental Health
Date: 2019-03-08
Language: eng
Number of pages: 12
Belongs to series: Nature Communications
ISSN: 2041-1723
URI: http://hdl.handle.net/10138/311454
Abstract: Antimicrobial resistance (AMR) is a serious threat to global public health, but obtaining representative data on AMR for healthy human populations is difficult. Here, we use meta-genomic analysis of untreated sewage to characterize the bacterial resistome from 79 sites in 60 countries. We find systematic differences in abundance and diversity of AMR genes between Europe/North-America/Oceania and Africa/Asia/South-America. Antimicrobial use data and bacterial taxonomy only explains a minor part of the AMR variation that we observe. We find no evidence for cross-selection between antimicrobial classes, or for effect of air travel between sites. However, AMR gene abundance strongly correlates with socio-economic, health and environmental factors, which we use to predict AMR gene abundances in all countries in the world. Our findings suggest that global AMR gene diversity and abundance vary by region, and that improving sanitation and health could potentially limit the global burden of AMR. We propose metagenomic analysis of sewage as an ethically acceptable and economically feasible approach for continuous global surveillance and prediction of AMR.
Subject: ENVIRONMENTAL SURVEILLANCE
UPDATE
413 Veterinary science
416 Food Science
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