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Population Dynamics of Bacterial Persistence

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  • Pintu Patra
  • Stefan Klumpp

Abstract

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.

Suggested Citation

  • Pintu Patra & Stefan Klumpp, 2013. "Population Dynamics of Bacterial Persistence," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-9, May.
  • Handle: RePEc:plo:pone00:0062814
    DOI: 10.1371/journal.pone.0062814
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    Cited by:

    1. Tsuyoshi Mikkaichi & Michael R Yeaman & Alexander Hoffmann & MRSA Systems Immunobiology Group, 2019. "Identifying determinants of persistent MRSA bacteremia using mathematical modeling," PLOS Computational Biology, Public Library of Science, vol. 15(7), pages 1-26, July.

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