Literature DB >> 27352853

Links between Transcription, Environmental Adaptation and Gene Variability in Escherichia coli: Correlations between Gene Expression and Gene Variability Reflect Growth Efficiencies.

Jean-Paul Feugeas1, Jerome Tourret2, Adrien Launay3, Odile Bouvet3, Claire Hoede4, Erick Denamur5, Olivier Tenaillon1.   

Abstract

Gene expression is known to be the principle factor explaining how fast genes evolve. Highly transcribed genes evolve slowly because any negative impact caused by a particular mutation is magnified by protein abundance. However, gene expression is a phenotype that depends both on the environment and on the strains or species. We studied this phenotypic plasticity by analyzing the transcriptome profiles of four Escherichia coli strains grown in three different culture media, and explored how expression variability was linked to gene allelic diversity. Genes whose expression changed according to the media and not to the strains were less polymorphic than other genes. Genes for which transcription depended predominantly on the strain were more polymorphic than other genes and were involved in sensing and responding to environmental changes, with an overrepresentation of two-component system genes. Surprisingly, we found that the correlation between transcription and gene diversity was highly variable among growth conditions and could be used to quantify growth efficiency of a strain in a medium. Genetic variability was found to increase with gene expression in poor growth conditions. As such conditions are also characterized by down-regulation of all DNA repair systems, including transcription-coupled repair, we suggest that gene expression under stressful conditions may be mutagenic and thus leads to a variability in mutation rate among genes in the genome which contributes to the pattern of protein evolution.
© The Author 2016. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  adaptation; evolution; mutation; transcription

Mesh:

Substances:

Year:  2016        PMID: 27352853     DOI: 10.1093/molbev/msw105

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  15 in total

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Journal:  Bioinformation       Date:  2017-01-31

4.  Transcriptome Remodeling of Acinetobacter baumannii during Infection and Treatment.

Authors:  Meredith S Wright; Michael R Jacobs; Robert A Bonomo; Mark D Adams
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5.  High Prevalence of Quorum-Sensing and Quorum-Quenching Activity among Cultivable Bacteria and Metagenomic Sequences in the Mediterranean Sea.

Authors:  Andrea Muras; Mario López-Pérez; Celia Mayer; Ana Parga; Jaime Amaro-Blanco; Ana Otero
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6.  Quorum Sensing versus Quenching Bacterial Isolates Obtained from MBR Plants Treating Leachates from Municipal Solid Waste.

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Journal:  Int J Environ Res Public Health       Date:  2018-05-18       Impact factor: 3.390

7.  Coordinated regulation of core and accessory genes in the multipartite genome of Sinorhizobium fredii.

Authors:  Jian Jiao; Meng Ni; Biliang Zhang; Ziding Zhang; J Peter W Young; Ting-Fung Chan; Wen Xin Chen; Hon-Ming Lam; Chang Fu Tian
Journal:  PLoS Genet       Date:  2018-05-24       Impact factor: 5.917

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Journal:  Viruses       Date:  2018-06-15       Impact factor: 5.048

9.  Escherichia coli: Physiological Clues Which Turn On the Synthesis of Antimicrobial Molecules.

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Journal:  Vet Sci       Date:  2020-11-21

10.  Hypermutation as an Evolutionary Mechanism for Achromobacter xylosoxidans in Cystic Fibrosis Lung Infection.

Authors:  Laura Veschetti; Angela Sandri; Helle Krogh Johansen; Maria M Lleò; Giovanni Malerba
Journal:  Pathogens       Date:  2020-01-21
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