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Relating switching rates between normal and persister cells to substrate and antibiotic concentrations: a mathematical modelling approach supported by experiments

We developed and compared two mathematical models of variable phenotypic switching rates between normal and persister cells that depend on substrate concentration and antibiotic presence. They could be used to simulate the formation of persisters in environments with concentration gradients such as...

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Autores principales: Carvalho, Gabriel, Guilhen, Cyril, Balestrino, Damien, Forestier, Christiane, Mathias, Jean‐Denis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658594/
https://www.ncbi.nlm.nih.gov/pubmed/28730700
http://dx.doi.org/10.1111/1751-7915.12739
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author Carvalho, Gabriel
Guilhen, Cyril
Balestrino, Damien
Forestier, Christiane
Mathias, Jean‐Denis
author_facet Carvalho, Gabriel
Guilhen, Cyril
Balestrino, Damien
Forestier, Christiane
Mathias, Jean‐Denis
author_sort Carvalho, Gabriel
collection PubMed
description We developed and compared two mathematical models of variable phenotypic switching rates between normal and persister cells that depend on substrate concentration and antibiotic presence. They could be used to simulate the formation of persisters in environments with concentration gradients such as biofilms. Our models are extensions of a previous model of the dynamics of normal and persistent cell populations developed by Balaban et al. (2004, Science 305: 1622). We calibrated the models’ parameters with experimental killing curves obtained after ciprofloxacin treatment of samples regularly harvested from planktonic batch cultures of Klebsiella pneumoniae. Our switching models accurately reproduced the dynamics of normal and persistent populations in planktonic batch cultures and under antibiotic treatment. Results showed that the models are valid for a large range of substrate concentrations and for zero or high doses of antibiotics.
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spelling pubmed-56585942017-11-01 Relating switching rates between normal and persister cells to substrate and antibiotic concentrations: a mathematical modelling approach supported by experiments Carvalho, Gabriel Guilhen, Cyril Balestrino, Damien Forestier, Christiane Mathias, Jean‐Denis Microb Biotechnol Research Articles We developed and compared two mathematical models of variable phenotypic switching rates between normal and persister cells that depend on substrate concentration and antibiotic presence. They could be used to simulate the formation of persisters in environments with concentration gradients such as biofilms. Our models are extensions of a previous model of the dynamics of normal and persistent cell populations developed by Balaban et al. (2004, Science 305: 1622). We calibrated the models’ parameters with experimental killing curves obtained after ciprofloxacin treatment of samples regularly harvested from planktonic batch cultures of Klebsiella pneumoniae. Our switching models accurately reproduced the dynamics of normal and persistent populations in planktonic batch cultures and under antibiotic treatment. Results showed that the models are valid for a large range of substrate concentrations and for zero or high doses of antibiotics. John Wiley and Sons Inc. 2017-07-21 /pmc/articles/PMC5658594/ /pubmed/28730700 http://dx.doi.org/10.1111/1751-7915.12739 Text en © 2017 The Authors. Microbial Biotechnology published by John Wiley & Sons Ltd and Society for Applied Microbiology. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Carvalho, Gabriel
Guilhen, Cyril
Balestrino, Damien
Forestier, Christiane
Mathias, Jean‐Denis
Relating switching rates between normal and persister cells to substrate and antibiotic concentrations: a mathematical modelling approach supported by experiments
title Relating switching rates between normal and persister cells to substrate and antibiotic concentrations: a mathematical modelling approach supported by experiments
title_full Relating switching rates between normal and persister cells to substrate and antibiotic concentrations: a mathematical modelling approach supported by experiments
title_fullStr Relating switching rates between normal and persister cells to substrate and antibiotic concentrations: a mathematical modelling approach supported by experiments
title_full_unstemmed Relating switching rates between normal and persister cells to substrate and antibiotic concentrations: a mathematical modelling approach supported by experiments
title_short Relating switching rates between normal and persister cells to substrate and antibiotic concentrations: a mathematical modelling approach supported by experiments
title_sort relating switching rates between normal and persister cells to substrate and antibiotic concentrations: a mathematical modelling approach supported by experiments
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658594/
https://www.ncbi.nlm.nih.gov/pubmed/28730700
http://dx.doi.org/10.1111/1751-7915.12739
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