Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 549401
Title Global monitoring of antimicrobial resistance based on metagenomics analyses of urban sewage
Author(s) Hendriksen, Rene S.; Munk, Patrick; Njage, Patrick; Bunnik, Bram Van; Mcnally, Luke; Lukjancenko, Oksana; Röder, Timo; Nieuwenhuijse, David; Pedersen, Susanne Karlsmose; Kjeldgaard, Jette; Kaas, Rolf S.; Clausen, Philip Thomas Lanken Conradsen; Vogt, Josef Korbinian; Leekitcharoenphon, Pimlapas; De Schans, Milou G.M. Van; Zuidema, Tina; Roda Husman, Ana Maria De; Rasmussen, Simon; Petersen, Bent; Amid, Clara; Cochrane, Guy; Sicheritz-ponten, Thomas; Schmitt, Heike; Alvarez, Jorge Raul Matheu; Aidara-kane, Awa; Pamp, Sünje J.; Lund, Ole; Hald, Tine; Woolhouse, Mark; Koopmans, Marion P.; Vigre, Håkan; Petersen, Thomas Nordahl; Aarestrup, Frank M.
Source Nature Communications 10 (2019)1. - ISSN 2041-1723 - 12 p.
Department(s) Quantitative Veterinary Epidemiology
BU Veterinary Drugs
Publication type Refereed Article in a scientific journal
Publication year 2019
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.
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