Literature DB >> 33789344

Adaptive gene misregulation.

Andreas Wagner1,2,3.   

Abstract

Because gene expression is important for evolutionary adaptation, its misregulation is an important cause of maladaptation. A misregulated gene can be incorrectly silent ("off") when a transcription factor (TF) that is required for its activation does not binds its regulatory region. Conversely, a misregulated gene can be incorrectly active ("on") when a TF not normally involved in its activation binds its regulatory region, a phenomenon also known as regulatory crosstalk. DNA mutations that destroy or create TF binding sites on DNA are an important source of misregulation and crosstalk. Although misregulation reduces fitness in an environment to which an organism is well-adapted, it may become adaptive in a new environment. Here, I derive simple yet general mathematical expressions that delimit the conditions under which misregulation can be adaptive. These expressions depend on the strength of selection against misregulation, on the fraction of DNA sequence space filled with TF binding sites, and on the fraction of genes that must be expressed for optimal adaptation. I then use empirical data from RNA sequencing, protein-binding microarrays, and genome evolution, together with population genetic simulations to ask when these conditions are likely to be met. I show that they can be met under realistic circumstances, but these circumstances may vary among organisms and environments. My analysis provides a framework in which improved theory and data collection can help us demonstrate the role of misregulation in adaptation. It also shows that misregulation, like DNA mutation, is one of life's many imperfections that can help propel Darwinian evolution.
© The Author(s) 2021. Published by Oxford University Press on behalf of Genetics Society of America. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  adaptation; evolvability; expression; regulation

Mesh:

Substances:

Year:  2021        PMID: 33789344      PMCID: PMC8045718          DOI: 10.1093/genetics/iyaa044

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  75 in total

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3.  Compact, universal DNA microarrays to comprehensively determine transcription-factor binding site specificities.

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Journal:  Nat Biotechnol       Date:  2006-09-24       Impact factor: 54.908

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5.  Functional genomic analysis of the rates of protein evolution.

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Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-30       Impact factor: 11.205

Review 6.  The distribution of fitness effects of new mutations.

Authors:  Adam Eyre-Walker; Peter D Keightley
Journal:  Nat Rev Genet       Date:  2007-08       Impact factor: 53.242

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8.  Gene expression across mammalian organ development.

Authors:  Margarida Cardoso-Moreira; Jean Halbert; Delphine Valloton; Britta Velten; Chunyan Chen; Yi Shao; Angélica Liechti; Kelly Ascenção; Coralie Rummel; Svetlana Ovchinnikova; Pavel V Mazin; Ioannis Xenarios; Keith Harshman; Matthew Mort; David N Cooper; Carmen Sandi; Michael J Soares; Paula G Ferreira; Sandra Afonso; Miguel Carneiro; James M A Turner; John L VandeBerg; Amir Fallahshahroudi; Per Jensen; Rüdiger Behr; Steven Lisgo; Susan Lindsay; Philipp Khaitovich; Wolfgang Huber; Julie Baker; Simon Anders; Yong E Zhang; Henrik Kaessmann
Journal:  Nature       Date:  2019-06-26       Impact factor: 49.962

9.  Dynamics of Transcription Factor Binding Site Evolution.

Authors:  Murat Tuğrul; Tiago Paixão; Nicholas H Barton; Gašper Tkačik
Journal:  PLoS Genet       Date:  2015-11-06       Impact factor: 5.917

10.  The relation between crosstalk and gene regulation form revisited.

Authors:  Rok Grah; Tamar Friedlander
Journal:  PLoS Comput Biol       Date:  2020-02-25       Impact factor: 4.475

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