Title: | Global monitoring of antimicrobial resistance based on metagenomics analyses of urban sewage |
Author: |
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Date: | 2019-03-08 |
Language: | English |
Scope: | 1124 |
University/Institute: | Háskóli Íslands University of Iceland |
School: | Heilbrigðisvísindasvið (HÍ) School of Health Sciences (UI) |
Department: | Tilraunastöð í meinafræði að Keldum (HÍ) Institute for Experimental Pathology, Keldur (UI) |
Series: | Nature Communications;10(1) |
ISSN: | 2041-1723 |
DOI: | 10.1038/s41467-019-08853-3 |
Subject: | Antimicrobial resistance; Ecological epidemiology; Metagenomics; Water microbiology; Ónæmisfræði; Genamengi; Erfðafræði |
URI: | https://hdl.handle.net/20.500.11815/1640 |
Citation:Hendriksen, R.S., Munk, P., Njage, P. et al. Global monitoring of antimicrobial resistance based on metagenomics analyses of urban sewage. Nature Communications 10, 1124 (2019). https://doi.org/10.1038/s41467-019-08853-3
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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 metagenomic 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.
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Description:Publisher's version (útgefin grein)
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Rights: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/.
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