Global monitoring of antimicrobial resistance based on metagenomics analyses of urban sewage [* Cross-Reference *]

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Hendriksen, Rene S.; Munk, Patrick; Njage, Patrick; van Bunnik, Bram; 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; van de Schans, Milou G.M.; Zuidema, Tina; de Roda Husman, Ana Maria; Rasmussen, Simon; Petersen, Bent; Bego, Artan; Rees, Catherine; Cassar, Susan; Coventry, Kris; Collignon, Peter; Allerberger, Franz; Rahube, Teddie O.; Oliveira, Guilherme; Ivanov, Ivan; Vuthy, Yith; Sopheak, Thet; Yost, Christopher K.; Ke, Changwen; Zheng, Huanying; Baisheng, Li; Jiao, Xiaoyang; Donado-Godoy, Pilar; Coulibaly, Kalpy Julien; Jergović, Matijana; Hrenovic, Jasna; Karpíšková, Renáta; Villacis, Jose Eduardo; Legesse, Mengistu; Eguale, Tadesse; Heikinheimo, Annamari; Malania, Lile; Nitsche, Andreas; Brinkmann, Annika; Saba, Courage Kosi Setsoafia; Kocsis, Bela; Solymosi, Norbert; Thorsteinsdottir, Thorunn R.; Hatha, Abdulla Mohamed; Alebouyeh, Masoud; Morris, Dearbhaile; Cormican, Martin; O’Connor, Louise; Moran-Gilad, Jacob; Alba, Patricia; Battisti, Antonio; Shakenova, Zeinegul; Kiiyukia, Ciira; Ng’eno, Eric; Raka, Lul; Avsejenko, Jeļena; Bērziņš, Aivars; Bartkevics, Vadims; Penny, Christian; Rajandas, Heraa; Parimannan, Sivachandran; Haber, Malcolm Vella; Pal, Pushkar; Jeunen, Gert Jan; Gemmell, Neil; Fashae, Kayode; Holmstad, Rune; Hasan, Rumina; Shakoor, Sadia; Rojas, Maria Luz Zamudio; Wasyl, Dariusz; Bosevska, Golubinka; Kochubovski, Mihail; Radu, Cojocaru; Gassama, Amy; Radosavljevic, Vladimir; Wuertz, Stefan; Zuniga-Montanez, Rogelio; Tay, Moon Y.F.; Gavačová, Dagmar; Pastuchova, Katarina; Truska, Peter; Trkov, Marija; Esterhuyse, Kerneels; Keddy, Karen; Cerdà-Cuéllar, Marta; Pathirage, Sujatha; Norrgren, Leif; Örn, Stefan; Larsson, D. G.Joakim; Heijden, Tanja Van der; Kumburu, Happiness Houka, 2019, "Global monitoring of antimicrobial resistance based on metagenomics analyses of urban sewage [* Cross-Reference *]", https://lore.list.lu/citation?persistentId=perma:LIST.BAJANM, LIST Open Repository, V1
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Description
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. (2019-01-01)
***This entry has been automatically imported via Infodoc(ASO) CSV by LIST harvest scripts. Please refer to https://doi.org/10.1038/s41467-019-08853-3 for the original and latest version of the dataset and data downloads*** (2025-12-04)
Subject Other
Keyword healthy human populations, obtaining representative data, AMR, AMR gene, populations is difficult
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