Literature DB >> 35726087

Gene regulation in Escherichia coli is commonly selected for both high plasticity and low noise.

Markéta Vlková1,2, Olin K Silander3.   

Abstract

Bacteria often respond to dynamically changing environments by regulating gene expression. Despite this regulation being critically important for growth and survival, little is known about how selection shapes gene regulation in natural populations. To better understand the role natural selection plays in shaping bacterial gene regulation, here we compare differences in the regulatory behaviour of naturally segregating promoter variants from Escherichia coli (which have been subject to natural selection) to randomly mutated promoter variants (which have never been exposed to natural selection). We quantify gene expression phenotypes (expression level, plasticity and noise) for hundreds of promoter variants across multiple environments and show that segregating promoter variants are enriched for mutations with minimal effects on expression level. In many promoters, we infer that there is strong selection to maintain high levels of plasticity, and direct selection to decrease or increase cell-to-cell variability in expression. Taken together, these results expand our knowledge of how gene regulation is affected by natural selection and highlight the power of comparing naturally segregating polymorphisms to de novo random mutations to quantify the action of selection.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2022        PMID: 35726087     DOI: 10.1038/s41559-022-01783-2

Source DB:  PubMed          Journal:  Nat Ecol Evol        ISSN: 2397-334X            Impact factor:   19.100


  63 in total

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Authors:  Trevor Bedford; Daniel L Hartl
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-12       Impact factor: 11.205

2.  Modeling gene expression evolution with an extended Ornstein-Uhlenbeck process accounting for within-species variation.

Authors:  Rori V Rohlfs; Patrick Harrigan; Rasmus Nielsen
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Journal:  Cell       Date:  2016-08-18       Impact factor: 41.582

4.  Optimality and evolutionary tuning of the expression level of a protein.

Authors:  Erez Dekel; Uri Alon
Journal:  Nature       Date:  2005-07-28       Impact factor: 49.962

5.  The transcription factor titration effect dictates level of gene expression.

Authors:  Robert C Brewster; Franz M Weinert; Hernan G Garcia; Dan Song; Mattias Rydenfelt; Rob Phillips
Journal:  Cell       Date:  2014-03-06       Impact factor: 41.582

6.  Deciphering the regulatory genome of Escherichia coli, one hundred promoters at a time.

Authors:  William T Ireland; Suzannah M Beeler; Emanuel Flores-Bautista; Nicholas S McCarty; Tom Röschinger; Nathan M Belliveau; Michael J Sweredoski; Annie Moradian; Justin B Kinney; Rob Phillips
Journal:  Elife       Date:  2020-09-21       Impact factor: 8.140

7.  Mismatch-CRISPRi Reveals the Co-varying Expression-Fitness Relationships of Essential Genes in Escherichia coli and Bacillus subtilis.

Authors:  John S Hawkins; Melanie R Silvis; Byoung-Mo Koo; Jason M Peters; Hendrik Osadnik; Marco Jost; Cameron C Hearne; Jonathan S Weissman; Horia Todor; Carol A Gross
Journal:  Cell Syst       Date:  2020-10-19       Impact factor: 10.304

8.  Tuning promoter strength through RNA polymerase binding site design in Escherichia coli.

Authors:  Robert C Brewster; Daniel L Jones; Rob Phillips
Journal:  PLoS Comput Biol       Date:  2012-12-13       Impact factor: 4.475

9.  Analysis of combinatorial cis-regulation in synthetic and genomic promoters.

Authors:  Jason Gertz; Eric D Siggia; Barak A Cohen
Journal:  Nature       Date:  2008-11-23       Impact factor: 49.962

10.  Deciphering eukaryotic gene-regulatory logic with 100 million random promoters.

Authors:  Carl G de Boer; Eeshit Dhaval Vaishnav; Ronen Sadeh; Esteban Luis Abeyta; Nir Friedman; Aviv Regev
Journal:  Nat Biotechnol       Date:  2019-12-02       Impact factor: 68.164

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