Cargando…

Modeling Polygenic Antibiotic Resistance Evolution in Biofilms

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 need...

Descripción completa

Detalles Bibliográficos
Autores principales: Trubenová, Barbora, Roizman, Dan, Rolff, Jens, Regoes, Roland R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9301000/
https://www.ncbi.nlm.nih.gov/pubmed/35875522
http://dx.doi.org/10.3389/fmicb.2022.916035
_version_ 1784751336641789952
author Trubenová, Barbora
Roizman, Dan
Rolff, Jens
Regoes, Roland R.
author_facet Trubenová, Barbora
Roizman, Dan
Rolff, Jens
Regoes, Roland R.
author_sort Trubenová, Barbora
collection PubMed
description 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.
format Online
Article
Text
id pubmed-9301000
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-93010002022-07-22 Modeling Polygenic Antibiotic Resistance Evolution in Biofilms Trubenová, Barbora Roizman, Dan Rolff, Jens Regoes, Roland R. Front Microbiol Microbiology 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. Frontiers Media S.A. 2022-07-07 /pmc/articles/PMC9301000/ /pubmed/35875522 http://dx.doi.org/10.3389/fmicb.2022.916035 Text en Copyright © 2022 Trubenová, Roizman, Rolff and Regoes. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Trubenová, Barbora
Roizman, Dan
Rolff, Jens
Regoes, Roland R.
Modeling Polygenic Antibiotic Resistance Evolution in Biofilms
title Modeling Polygenic Antibiotic Resistance Evolution in Biofilms
title_full Modeling Polygenic Antibiotic Resistance Evolution in Biofilms
title_fullStr Modeling Polygenic Antibiotic Resistance Evolution in Biofilms
title_full_unstemmed Modeling Polygenic Antibiotic Resistance Evolution in Biofilms
title_short Modeling Polygenic Antibiotic Resistance Evolution in Biofilms
title_sort modeling polygenic antibiotic resistance evolution in biofilms
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9301000/
https://www.ncbi.nlm.nih.gov/pubmed/35875522
http://dx.doi.org/10.3389/fmicb.2022.916035
work_keys_str_mv AT trubenovabarbora modelingpolygenicantibioticresistanceevolutioninbiofilms
AT roizmandan modelingpolygenicantibioticresistanceevolutioninbiofilms
AT rolffjens modelingpolygenicantibioticresistanceevolutioninbiofilms
AT regoesrolandr modelingpolygenicantibioticresistanceevolutioninbiofilms