dc.contributor.author
Trubenová, Barbora
dc.contributor.author
Roizman, Dan
dc.contributor.author
Rolff, Jens
dc.contributor.author
Regoes, Roland R.
dc.date.accessioned
2022-08-10T06:22:41Z
dc.date.available
2022-08-10T06:22:41Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/35651
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-35365
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
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
biofilm recalcitrance
en
dc.subject
population genetics
en
dc.subject
antibiotic resistance
en
dc.subject
resistance evolution
en
dc.subject
mathematical modeling
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::576 Genetik und Evolution
dc.title
Modeling Polygenic Antibiotic Resistance Evolution in Biofilms
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
916035
dcterms.bibliographicCitation.doi
10.3389/fmicb.2022.916035
dcterms.bibliographicCitation.journaltitle
Frontiers in Microbiology
dcterms.bibliographicCitation.originalpublishername
Frontiers Media S.A.
dcterms.bibliographicCitation.volume
13 (2022)
dcterms.bibliographicCitation.url
https://doi.org/10.3389/fmicb.2022.916035
refubium.affiliation
Biologie, Chemie, Pharmazie
refubium.affiliation.other
Institut für Biologie
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eisbn
1664-302X