Global monitoring of antimicrobial resistance based on metagenomics analyses of urban sewage
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027162%3A_____%2F19%3AN0000032" target="_blank" >RIV/00027162:_____/19:N0000032 - isvavai.cz</a>
Result on the web
<a href="https://www.nature.com/articles/s41467-019-08853-3" target="_blank" >https://www.nature.com/articles/s41467-019-08853-3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41467-019-08853-3" target="_blank" >10.1038/s41467-019-08853-3</a>
Alternative languages
Result language
angličtina
Original language name
Global monitoring of antimicrobial resistance based on metagenomics analyses of urban sewage
Original language description
Antimicrobial resistance (AMR) is one of the largest global public health threats, but obtaining comparable data representing human healthy populations is difficult. We characterized the bacterial resistome in untreated sewage from 79 sites in 60 countries. We found a large variations in AMR gene abundance and diversity across the geographical sites and continents, with the largest AMR gene levels being observed in Africa and the lowest in Oceania, New Zealand and Australia. Data on antimicrobial use (AMU) and measured antimicrobial residues only explained a minor part of the AMR variation and no evidence for cross-selection between antimicrobial classes of effect of travel by flight between sites was observed. AMR abundance was strongly correlated with socio-economic, health and environmental factors, which we used to predict AMR in all countries in the world. Our findings suggest that even though AMR genes might rapidly disseminate globally, local selection is required to reach appreciable frequencies. Improving sanitation, health and perhaps education could potentially limit the global burden of AMR. We propose to use environmental surveillance as an ethically acceptable, and logistically and economically feasible approach to continuous global surveillance and prediction of AMR.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10608 - Biochemistry and molecular biology
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Nature communications
ISSN
2041-1723
e-ISSN
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Volume of the periodical
10
Issue of the periodical within the volume
MAR 2019
Country of publishing house
GB - UNITED KINGDOM
Number of pages
12
Pages from-to
1124
UT code for WoS article
000460631100009
EID of the result in the Scopus database
2-s2.0-85062620273