Literature DB >> 27723850

To grow is not enough: impact of noise on cell environmental response and fitness.

Nash Rochman1, Fangwei Si2, Sean X Sun3.   

Abstract

Quantitative single cell measurements have shown that cell cycle duration (the time between cell divisions) for diverse cell types is a noisy variable. The underlying distribution is mean scalable with a universal shape for many cell types in a variety of environments. Here we explore through both experiment and theory the response of these distributions to large environmental perturbations. In particular, we discuss how the stochasticity of the ensemble may be related to the response. Our findings show that slow growing, noisy populations are more adaptive than those which are fast growing. We suggest that even non-cooperative cells in exponential growth phase may not optimize fitness through growth rate alone, but also optimize adaptability to changing conditions. In this work, we wish to emphasize that in a manner similar to genetic evolution, noise in biochemical processes may be important to allow for cells to adapt to rapid to environmental changes.

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Year:  2016        PMID: 27723850      PMCID: PMC5980644          DOI: 10.1039/c6ib00119j

Source DB:  PubMed          Journal:  Integr Biol (Camb)        ISSN: 1757-9694            Impact factor:   2.192


  32 in total

1.  Bacterial persistence as a phenotypic switch.

Authors:  Nathalie Q Balaban; Jack Merrin; Remy Chait; Lukasz Kowalik; Stanislas Leibler
Journal:  Science       Date:  2004-08-12       Impact factor: 47.728

2.  Phenotypic diversity, population growth, and information in fluctuating environments.

Authors:  Edo Kussell; Stanislas Leibler
Journal:  Science       Date:  2005-08-25       Impact factor: 47.728

3.  Cell individuality: the bistability of competence development.

Authors:  Simon V Avery
Journal:  Trends Microbiol       Date:  2005-10       Impact factor: 17.079

Review 4.  Microbial cell individuality and the underlying sources of heterogeneity.

Authors:  Simon V Avery
Journal:  Nat Rev Microbiol       Date:  2006-08       Impact factor: 60.633

5.  Age-dependent stochastic models for understanding population fluctuations in continuously cultured cells.

Authors:  Evgeny B Stukalin; Ivie Aifuwa; Jin Seob Kim; Denis Wirtz; Sean X Sun
Journal:  J R Soc Interface       Date:  2013-06-12       Impact factor: 4.118

6.  Bacterial quorum sensing and metabolic slowing in a cooperative population.

Authors:  Jae Hyung An; Eunhye Goo; Hongsup Kim; Young-Su Seo; Ingyu Hwang
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-29       Impact factor: 11.205

7.  Scaling laws governing stochastic growth and division of single bacterial cells.

Authors:  Srividya Iyer-Biswas; Charles S Wright; Jonathan T Henry; Klevin Lo; Stanislav Burov; Yihan Lin; Gavin E Crooks; Sean Crosson; Aaron R Dinner; Norbert F Scherer
Journal:  Proc Natl Acad Sci U S A       Date:  2014-10-27       Impact factor: 11.205

Review 8.  Design principles of biochemical oscillators.

Authors:  Béla Novák; John J Tyson
Journal:  Nat Rev Mol Cell Biol       Date:  2008-10-30       Impact factor: 94.444

9.  A quantitative study of the division cycle of Caulobacter crescentus stalked cells.

Authors:  Shenghua Li; Paul Brazhnik; Bruno Sobral; John J Tyson
Journal:  PLoS Comput Biol       Date:  2007-12-05       Impact factor: 4.475

10.  Stress-response balance drives the evolution of a network module and its host genome.

Authors:  Caleb González; Joe Christian J Ray; Michael Manhart; Rhys M Adams; Dmitry Nevozhay; Alexandre V Morozov; Gábor Balázsi
Journal:  Mol Syst Biol       Date:  2015-08-31       Impact factor: 11.429

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  6 in total

1.  Theoretical investigation of stochastic clearance of bacteria: first-passage analysis.

Authors:  Hamid Teimouri; Anatoly B Kolomeisky
Journal:  J R Soc Interface       Date:  2019-03-29       Impact factor: 4.118

Review 2.  Molecular adaptations during viral epidemics.

Authors:  Nash D Rochman; Yuri I Wolf; Eugene V Koonin
Journal:  EMBO Rep       Date:  2022-07-18       Impact factor: 9.071

3.  Single-cell stochastic modelling of the action of antimicrobial peptides on bacteria.

Authors:  Hamid Teimouri; Thao N Nguyen; Anatoly B Kolomeisky
Journal:  J R Soc Interface       Date:  2021-09-15       Impact factor: 4.293

4.  Ergodicity, hidden bias and the growth rate gain.

Authors:  Nash D Rochman; Dan M Popescu; Sean X Sun
Journal:  Phys Biol       Date:  2018-03-14       Impact factor: 2.583

5.  Challenges of analysing stochastic gene expression in bacteria using single-cell time-lapse experiments.

Authors:  Georgeos Hardo; Somenath Bakshi
Journal:  Essays Biochem       Date:  2021-04-16       Impact factor: 8.000

6.  The correlation between cell and nucleus size is explained by an eukaryotic cell growth model.

Authors:  Yufei Wu; Adrian F Pegoraro; David A Weitz; Paul Janmey; Sean X Sun
Journal:  PLoS Comput Biol       Date:  2022-02-18       Impact factor: 4.475

  6 in total

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