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dc.contributor.author
Jacopin, Eliott
dc.contributor.author
Lehtinen, Sonja
dc.contributor.author
Débarre, Florence
dc.contributor.author
Blanquart, Francois
dc.date.accessioned
2020-09-22T06:03:36Z
dc.date.available
2020-09-22T06:03:36Z
dc.date.issued
2020-07
dc.identifier.issn
1742-5689
dc.identifier.issn
1742-5662
dc.identifier.other
10.1098/rsif.2020.0105
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/441745
dc.identifier.doi
10.3929/ethz-b-000432115
dc.description.abstract
The evolution of multidrug antibiotic resistance in commensal bacteria is an important public health concern. Commensal bacteria such asEscherichia coli,Streptococcus pneumoniaeorStaphylococcus aureus, are also opportunistic pathogens causing a large fraction of the community-acquired and hospital-acquired bacterial infections. Multidrug resistance (MDR) makes these infections harder to treat with antibiotics and may thus cause substantial additional morbidity and mortality. Here, we develop an evolutionary epidemiology model to identify the factors favouring the evolution of MDR in commensal bacteria. The model describes the evolution of antibiotic resistance in a commensal bacterial species evolving in a host population subjected to multiple antibiotic treatments. We combine statistical analysis of a large number of simulations and mathematical analysis to understand the model behaviour. We find that MDR evolves more readily when it is less costly than expected from the combinations of single resistances (positive epistasis). MDR frequently evolves when bacteria are in contact with multiple drugs prescribed in the host population, even if individual hosts are only treated with a single drug at a time. MDR is favoured when the host population is structured in different classes that vary in their rates of antibiotic treatment. However, under most circumstances, recombination between loci involved in resistance does not meaningfully affect the equilibrium frequency of MDR. Together, these results suggest that MDR is a frequent evolutionary outcome in commensal bacteria that encounter the variety of antibiotics prescribed in the host population. A better characterization of the variability in antibiotic use across the host population (e.g. across age classes or geographical location) would help predict which MDR genotypes will most readily evolve.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Royal Society
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Antimicrobial resistance
en_US
dc.subject
Multidrug resistance
en_US
dc.subject
Mathematical modelling
en_US
dc.subject
Adaptation
en_US
dc.title
Factors favouring the evolution of multidrug resistance in bacteria: Factors favouring the evolution of multidrug resistance in bacteria
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2020-07-29
ethz.journal.title
Journal of the Royal Society. Interface
ethz.journal.volume
17
en_US
ethz.journal.issue
168
en_US
ethz.journal.abbreviated
J. R. Soc. Interface
ethz.pages.start
20200105
en_US
ethz.size
14 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
London
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02720 - Institut für Integrative Biologie / Institute of Integrative Biology::03584 - Bonhoeffer, Sebastian / Bonhoeffer, Sebastian
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02720 - Institut für Integrative Biologie / Institute of Integrative Biology::03584 - Bonhoeffer, Sebastian / Bonhoeffer, Sebastian
ethz.date.deposited
2020-08-20T09:43:25Z
ethz.source
WOS
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-09-22T06:03:54Z
ethz.rosetta.lastUpdated
2023-02-06T20:28:14Z
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/432115
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/439487
ethz.COinS
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