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

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

Obtaining data on antimicrobial resistance (AMR) from healthy human populations is difficult. Here, Hendriksen et al. use metagenomic analysis to obtain AMR data from untreated sewage from 79 sites in 60 countries, finding correlations with socio-economic, health and environmental factors.

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Bibliographic Details
Main Authors: Rene S. Hendriksen, Patrick Munk, Patrick Njage, Bram van Bunnik, Luke McNally, Oksana Lukjancenko, Timo Röder, David Nieuwenhuijse, Susanne Karlsmose Pedersen, Jette Kjeldgaard, Rolf S. Kaas, Philip Thomas Lanken Conradsen Clausen, Josef Korbinian Vogt, Pimlapas Leekitcharoenphon, Milou G. M. van de Schans, Tina Zuidema, Ana Maria de Roda Husman, Simon Rasmussen, Bent Petersen, The Global Sewage Surveillance project consortium, Clara Amid, Guy Cochrane, Thomas Sicheritz-Ponten, Heike Schmitt, Jorge Raul Matheu Alvarez, Awa Aidara-Kane, Sünje J. Pamp, Ole Lund, Tine Hald, Mark Woolhouse, Marion P. Koopmans, Håkan Vigre, Thomas Nordahl Petersen, Frank M. Aarestrup
Format: article
Language:EN
Published: Nature Portfolio 2019
Subjects:
Science
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Online Access:https://doaj.org/article/e1cb1167bef748e5b629d0ee4367b54a
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Summary:Obtaining data on antimicrobial resistance (AMR) from healthy human populations is difficult. Here, Hendriksen et al. use metagenomic analysis to obtain AMR data from untreated sewage from 79 sites in 60 countries, finding correlations with socio-economic, health and environmental factors.

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