Modeling Polygenic Antibiotic Resistance Evolution in Biofilms
dc.contributor.author
Trubenova, Barbora
dc.contributor.author
Roizman, Dan
dc.contributor.author
Rolff, Jens
dc.contributor.author
Regoes, Roland R.
dc.date.accessioned
2022-08-09T07:21:31Z
dc.date.available
2022-07-28T03:31:18Z
dc.date.available
2022-08-09T07:21:31Z
dc.date.issued
2022-07-07
dc.identifier.issn
1664-302X
dc.identifier.other
10.3389/fmicb.2022.916035
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/560526
dc.identifier.doi
10.3929/ethz-b-000560526
dc.description.abstract
The recalcitrance of biofilms to antimicrobials is a multi-factorial phenomenon, including genetic, physical, and physiological changes. Individually, they often cannot account for biofilm recalcitrance. However, their combination can increase the minimal inhibitory concentration of antibiotics needed to kill bacterial cells by three orders of magnitude, explaining bacterial survival under otherwise lethal drug treatment. The relative contributions of these factors depend on the specific antibiotics, bacterial strain, as well as environmental and growth conditions. An emerging population genetic property—increased biofilm genetic diversity—further enhances biofilm recalcitrance. Here, we develop a polygenic model of biofilm recalcitrance accounting for multiple phenotypic mechanisms proposed to explain biofilm recalcitrance. The model can be used to generate predictions about the emergence of resistance—its timing and population genetic consequences. We use the model to simulate various treatments and experimental setups. Our simulations predict that the evolution of resistance is impaired in biofilms at low antimicrobial concentrations while it is facilitated at higher concentrations. In scenarios that allow bacteria exchange between planktonic and biofilm compartments, the evolution of resistance is further facilitated compared to scenarios without exchange. We compare these predictions to published experimental observations.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Frontiers Media
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
biofilm recalcitrance
en_US
dc.subject
population genetics
en_US
dc.subject
antibiotic resistance
en_US
dc.subject
resistance evolution
en_US
dc.subject
mathematical modeling
en_US
dc.subject
PK/PD
en_US
dc.title
Modeling Polygenic Antibiotic Resistance Evolution in Biofilms
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
Frontiers in Microbiology
ethz.journal.volume
13
en_US
ethz.journal.abbreviated
Front Microbiol
ethz.pages.start
916035
en_US
ethz.size
15 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Lausanne
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
2022-07-28T03:31:25Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2022-08-09T07:21:42Z
ethz.rosetta.lastUpdated
2024-02-02T17:48:40Z
ethz.rosetta.versionExported
true
ethz.COinS
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