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Population Dynamics of Bacterial Persistence

Persistence is a prime example of phenotypic heterogeneity, where a microbial population splits into two distinct subpopulations with different growth and survival properties as a result of reversible phenotype switching. Specifically, persister cells grow more slowly than normal cells under unstres...

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Detalles Bibliográficos
Autores principales: Patra, Pintu, Klumpp, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3652822/
https://www.ncbi.nlm.nih.gov/pubmed/23675428
http://dx.doi.org/10.1371/journal.pone.0062814
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author Patra, Pintu
Klumpp, Stefan
author_facet Patra, Pintu
Klumpp, Stefan
author_sort Patra, Pintu
collection PubMed
description Persistence is a prime example of phenotypic heterogeneity, where a microbial population splits into two distinct subpopulations with different growth and survival properties as a result of reversible phenotype switching. Specifically, persister cells grow more slowly than normal cells under unstressed growth conditions, but survive longer under stress conditions such as the treatment with bactericidal antibiotics. We analyze the population dynamics of such a population for several typical experimental scenarios, namely a constant environment, shifts between growth and stress conditions, and periodically switching environments. We use an approximation scheme that allows us to map the dynamics to a logistic equation for the subpopulation ratio and derive explicit analytical expressions for observable quantities that can be used to extract underlying dynamic parameters from experimental data. Our results provide a theoretical underpinning for the study of phenotypic switching, in particular for organisms where detailed mechanistic knowledge is scarce.
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spelling pubmed-36528222013-05-14 Population Dynamics of Bacterial Persistence Patra, Pintu Klumpp, Stefan PLoS One Research Article Persistence is a prime example of phenotypic heterogeneity, where a microbial population splits into two distinct subpopulations with different growth and survival properties as a result of reversible phenotype switching. Specifically, persister cells grow more slowly than normal cells under unstressed growth conditions, but survive longer under stress conditions such as the treatment with bactericidal antibiotics. We analyze the population dynamics of such a population for several typical experimental scenarios, namely a constant environment, shifts between growth and stress conditions, and periodically switching environments. We use an approximation scheme that allows us to map the dynamics to a logistic equation for the subpopulation ratio and derive explicit analytical expressions for observable quantities that can be used to extract underlying dynamic parameters from experimental data. Our results provide a theoretical underpinning for the study of phenotypic switching, in particular for organisms where detailed mechanistic knowledge is scarce. Public Library of Science 2013-05-13 /pmc/articles/PMC3652822/ /pubmed/23675428 http://dx.doi.org/10.1371/journal.pone.0062814 Text en © 2013 Patra, Klumpp http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Patra, Pintu
Klumpp, Stefan
Population Dynamics of Bacterial Persistence
title Population Dynamics of Bacterial Persistence
title_full Population Dynamics of Bacterial Persistence
title_fullStr Population Dynamics of Bacterial Persistence
title_full_unstemmed Population Dynamics of Bacterial Persistence
title_short Population Dynamics of Bacterial Persistence
title_sort population dynamics of bacterial persistence
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3652822/
https://www.ncbi.nlm.nih.gov/pubmed/23675428
http://dx.doi.org/10.1371/journal.pone.0062814
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