Literature DB >> 15014138

Expected rates and modes of evolution of enhancer sequences.

Stewart MacArthur1, John F Y Brookfield.   

Abstract

The evolution of new functions takes place partially through changes in the way transcription is controlled. Transcriptional control is brought about by the interactions of transcription factors with short target motifs in the DNAs of promoters and enhancers. One way in which changes in gene expression can evolve is through the acquisition of new transcription factor targets in enhancer sequences. Since such target sites are simple, they can be produced rapidly from random DNA by mutation and selection. Here we consider a population of organisms that finds itself in an ecological situation where bringing a particular target gene under the control of a particular transcription factor would be favored by natural selection. What will be the time required for such a process, as a function of the selection for the new target, the mutation rate, and the population size? The starting sequences considered are either real enhancers from the Drosophila melanogaster genome, or randomized versions of these. We find that the time required to find binding sites is strongly dependent on the existence in the starting sequence of sites that differ from binding sites by single substitutions (presites). The process of converting presites to binding sites is driven by natural selection, and thus the time required typically reduces with the strength of selection. However, if there is a strongly distorted G:C ratio in the starting sequence, presites will typically be absent, and the finding of binding sites will be preceded by a long time period of neutral evolution, however strong is the selection favoring sites. The positions of presites largely determine where binding sites will evolve. One result of this is that any incremental selective benefits that result from the relative positioning of sites have a surprisingly small impact on the final binding-site positions.

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Year:  2004        PMID: 15014138     DOI: 10.1093/molbev/msh105

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


  32 in total

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3.  Effects of random mutations in the human immunodeficiency virus type 1 transcriptional promoter on viral fitness in different host cell environments.

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4.  Evolution of transcription factor binding sites in mammalian gene regulatory regions: handling counterintuitive results.

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5.  The QTN program and the alleles that matter for evolution: all that's gold does not glitter.

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Journal:  Evolution       Date:  2011-11-06       Impact factor: 3.694

6.  Pathogenic adaptation of intracellular bacteria by rewiring a cis-regulatory input function.

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Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-20       Impact factor: 11.205

7.  Identification of the regulatory logic controlling Salmonella pathoadaptation by the SsrA-SsrB two-component system.

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8.  Statistical tests for natural selection on regulatory regions based on the strength of transcription factor binding sites.

Authors:  Alan M Moses
Journal:  BMC Evol Biol       Date:  2009-12-09       Impact factor: 3.260

9.  Evolutionary mirages: selection on binding site composition creates the illusion of conserved grammars in Drosophila enhancers.

Authors:  Richard W Lusk; Michael B Eisen
Journal:  PLoS Genet       Date:  2010-01-22       Impact factor: 5.917

10.  Waiting for two mutations: with applications to regulatory sequence evolution and the limits of Darwinian evolution.

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Journal:  Genetics       Date:  2008-09-14       Impact factor: 4.562

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