Literature DB >> 34825896

Non-genetic variability in microbial populations: survival strategy or nuisance?

Ethan Levien1,2, Jiseon Min3, Jane Kondev4, Ariel Amir1.   

Abstract

The observation that phenotypic variability is ubiquitous in isogenic populations has led to a multitude of experimental and theoretical studies seeking to probe the causes and consequences of this variability. Whether it be in the context of antibiotic treatments or exponential growth in constant environments, non-genetic variability has significant effects on population dynamics. Here, we review research that elucidates the relationship between cell-to-cell variability and population dynamics. After summarizing the relevant experimental observations, we discuss models of bet-hedging and phenotypic switching. In the context of these models, we discuss how switching between phenotypes at the single-cell level can help populations survive in uncertain environments. Next, we review more fine-grained models of phenotypic variability where the relationship between single-cell growth rates, generation times and cell sizes is explicitly considered. Variability in these traits can have significant effects on the population dynamics, even in a constant environment. We show how these effects can be highly sensitive to the underlying model assumptions. We close by discussing a number of open questions, such as how environmental and intrinsic variability interact and what the role of non-genetic variability in evolutionary dynamics is.
© 2021 IOP Publishing Ltd.

Entities:  

Keywords:  bet-hedging; evolution; phenotypic variability; population growth

Mesh:

Year:  2021        PMID: 34825896     DOI: 10.1088/1361-6633/ac2c92

Source DB:  PubMed          Journal:  Rep Prog Phys        ISSN: 0034-4885


  2 in total

1.  Collective behavior and nongenetic inheritance allow bacterial populations to adapt to changing environments.

Authors:  Henry H Mattingly; Thierry Emonet
Journal:  Proc Natl Acad Sci U S A       Date:  2022-06-21       Impact factor: 12.779

2.  Population genetics in microchannels.

Authors:  Anzhelika Koldaeva; Hsieh-Fu Tsai; Amy Q Shen; Simone Pigolotti
Journal:  Proc Natl Acad Sci U S A       Date:  2022-03-18       Impact factor: 11.205

  2 in total

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