Literature DB >> 27273675

Defining heterogeneity within bacterial populations via single cell approaches.

Kimberly M Davis1,2, Ralph R Isberg1,2.   

Abstract

Bacterial populations are heterogeneous, which in many cases can provide a selective advantage during changes in environmental conditions. In some instances, heterogeneity exists at the genetic level, in which significant allelic variation occurs within a population seeded by a single cell. In other cases, heterogeneity exists due to phenotypic differences within a clonal, genetically identical population. A variety of mechanisms can drive this latter strategy. Stochastic fluctuations can drive differential gene expression, but heterogeneity in gene expression can also be driven by environmental changes sensed by individual cells residing in distinct locales. Utilizing multiple single cell approaches, workers have started to uncover the extent of heterogeneity within bacterial populations. This review will first describe several examples of phenotypic and genetic heterogeneity, and then discuss many single cell approaches that have recently been applied to define heterogeneity within bacterial populations.
© 2016 WILEY Periodicals, Inc.

Keywords:  host-pathogen interactions; population heterogeneity; single cell analyses

Mesh:

Year:  2016        PMID: 27273675     DOI: 10.1002/bies.201500121

Source DB:  PubMed          Journal:  Bioessays        ISSN: 0265-9247            Impact factor:   4.345


  31 in total

1.  Coculturing Bacteria Leads to Reduced Phenotypic Heterogeneities.

Authors:  Jasmine Heyse; Benjamin Buysschaert; Ruben Props; Peter Rubbens; Andre G Skirtach; Willem Waegeman; Nico Boon
Journal:  Appl Environ Microbiol       Date:  2019-04-04       Impact factor: 4.792

Review 2.  Recent Developments in Single-Cell RNA-Seq of Microorganisms.

Authors:  Yi Zhang; Jiaxin Gao; Yanyi Huang; Jianbin Wang
Journal:  Biophys J       Date:  2018-06-26       Impact factor: 4.033

Review 3.  Biophysical methods to quantify bacterial behaviors at oil-water interfaces.

Authors:  Jacinta C Conrad
Journal:  J Ind Microbiol Biotechnol       Date:  2020-08-02       Impact factor: 3.346

Review 4.  For the Greater (Bacterial) Good: Heterogeneous Expression of Energetically Costly Virulence Factors.

Authors:  Kimberly M Davis
Journal:  Infect Immun       Date:  2020-06-22       Impact factor: 3.441

5.  Impact of CO2/HCO3 - Availability on Anaplerotic Flux in Pyruvate Dehydrogenase Complex-Deficient Corynebacterium glutamicum Strains.

Authors:  Aileen Krüger; Johanna Wiechert; Cornelia Gätgens; Tino Polen; Regina Mahr; Julia Frunzke
Journal:  J Bacteriol       Date:  2019-09-20       Impact factor: 3.490

6.  Emergence of Phenotypically Distinct Subpopulations Is a Factor in Adaptation of Recombinant Saccharomyces cerevisiae under Glucose-Limited Conditions.

Authors:  Naia Risager Wright; Mathew M Jessop-Fabre; Benjamin J Sánchez; Tune Wulff; Christopher T Workman; Nanna Petersen Rønnest; Nikolaus Sonnenschein
Journal:  Appl Environ Microbiol       Date:  2022-03-17       Impact factor: 5.005

Review 7.  In Vitro Studies of Persister Cells.

Authors:  Niilo Kaldalu; Vasili Hauryliuk; Kathryn Jane Turnbull; Agnese La Mensa; Marta Putrinš; Tanel Tenson
Journal:  Microbiol Mol Biol Rev       Date:  2020-11-11       Impact factor: 11.056

Review 8.  One for All, but Not All for One: Social Behavior during Bacterial Diseases.

Authors:  Kimberly M Davis; Ralph R Isberg
Journal:  Trends Microbiol       Date:  2018-09-19       Impact factor: 17.079

9.  Microbiota-derived metabolites inhibit Salmonella virulent subpopulation development by acting on single-cell behaviors.

Authors:  Alyson M Hockenberry; Gabriele Micali; Gabriella Takács; Jessica Weng; Wolf-Dietrich Hardt; Martin Ackermann
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-03       Impact factor: 11.205

Review 10.  Tools for Genomic and Transcriptomic Analysis of Microbes at Single-Cell Level.

Authors:  Zixi Chen; Lei Chen; Weiwen Zhang
Journal:  Front Microbiol       Date:  2017-09-20       Impact factor: 5.640

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