Literature DB >> 32396808

The interplay of phenotypic variability and fitness in finite microbial populations.

Ethan Levien1,2, Jane Kondev2, Ariel Amir1.   

Abstract

In isogenic microbial populations, phenotypic variability is generated by a combination of stochastic mechanisms, such as gene expression, and deterministic factors, such as asymmetric segregation of cell volume. Here we address the question: how does phenotypic variability of a microbial population affect its fitness? While this question has previously been studied for exponentially growing populations, the situation when the population size is kept fixed has received much less attention, despite its relevance to many natural scenarios. We show that the outcome of competition between multiple microbial species can be determined from the distribution of phenotypes in the culture using a generalization of the well-known Euler-Lotka equation, which relates the steady-state distribution of phenotypes to the population growth rate. We derive a generalization of the Euler-Lotka equation for finite cultures, which relates the distribution of phenotypes among cells in the culture to the exponential growth rate. Our analysis reveals that in order to predict fitness from phenotypes, it is important to understand how distributions of phenotypes obtained from different subsets of the genealogical history of a population are related. To this end, we derive a mapping between the various ways of sampling phenotypes in a finite population and show how to obtain the equivalent distributions from an exponentially growing culture. Finally, we use this mapping to show that species with higher growth rates in exponential growth conditions will have a competitive advantage in the finite culture.

Entities:  

Keywords:  epigenetic; fitness; phenotypic variability; population dynamics

Mesh:

Year:  2020        PMID: 32396808      PMCID: PMC7276549          DOI: 10.1098/rsif.2019.0827

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  25 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2000-06-20       Impact factor: 11.205

2.  Optimal Segregation of Proteins: Phase Transitions and Symmetry Breaking.

Authors:  Jie Lin; Jiseon Min; Ariel Amir
Journal:  Phys Rev Lett       Date:  2019-02-15       Impact factor: 9.161

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Authors:  Beatrice Claudi; Petra Spröte; Anna Chirkova; Nicolas Personnic; Janine Zankl; Nura Schürmann; Alexander Schmidt; Dirk Bumann
Journal:  Cell       Date:  2014-08-14       Impact factor: 41.582

Review 4.  Noise in biology.

Authors:  Lev S Tsimring
Journal:  Rep Prog Phys       Date:  2014-01-20

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Authors:  Jie Lin; Ariel Amir
Journal:  Cell Syst       Date:  2017-10-04       Impact factor: 10.304

6.  Impact of gene expression noise on organismal fitness and the efficacy of natural selection.

Authors:  Zhi Wang; Jianzhi Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-04       Impact factor: 11.205

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Authors:  Avigdor Eldar; Michael B Elowitz
Journal:  Nature       Date:  2010-09-09       Impact factor: 49.962

8.  Asymmetry and aging of mycobacterial cells lead to variable growth and antibiotic susceptibility.

Authors:  Bree B Aldridge; Marta Fernandez-Suarez; Danielle Heller; Vijay Ambravaneswaran; Daniel Irimia; Mehmet Toner; Sarah M Fortune
Journal:  Science       Date:  2011-12-15       Impact factor: 47.728

9.  Quantifying selective pressures driving bacterial evolution using lineage analysis.

Authors:  Guillaume Lambert; Edo Kussell
Journal:  Phys Rev X       Date:  2015 Jan-Mar       Impact factor: 15.762

10.  Asymmetrical Damage Partitioning in Bacteria: A Model for the Evolution of Stochasticity, Determinism, and Genetic Assimilation.

Authors:  Lin Chao; Camilla Ulla Rang; Audrey Menegaz Proenca; Jasper Ubirajara Chao
Journal:  PLoS Comput Biol       Date:  2016-01-13       Impact factor: 4.475

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  1 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

  1 in total

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