Literature DB >> 15987875

Gene expression evolves faster in narrowly than in broadly expressed mammalian genes.

Jing Yang1, Andrew I Su, Wen-Hsiung Li.   

Abstract

Despite much recent interest, it remains unclear what determines the rate of evolution of gene expression. To study this issue we develop a new measure, called "Expression Conservation Index" (ECI), to quantify the degree of tissue-expression conservation between two homologous genes. Applying this measure to a large set of gene expression data from human and mouse, we show that tissue expression tends to evolve rapidly for genes that are expressed in only a limited number of tissues, whereas tissue expression can be conserved for a long time for genes expressed in a large number of tissues. Therefore, expression breadth is an important determinant for evolutionary conservation of tissue expression. In addition, we find a rapid decrease in ECI with the synonymous divergence between duplicate genes, suggesting fast divergence in tissue expression between duplicate genes.

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Year:  2005        PMID: 15987875     DOI: 10.1093/molbev/msi206

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


  36 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2007-02-14       Impact factor: 11.205

2.  Evolutionary conservation of histone modifications in mammals.

Authors:  Yong H Woo; Wen-Hsiung Li
Journal:  Mol Biol Evol       Date:  2012-01-27       Impact factor: 16.240

3.  MicroRNA regulation of human protein protein interaction network.

Authors:  Han Liang; Wen-Hsiung Li
Journal:  RNA       Date:  2007-07-24       Impact factor: 4.942

4.  A problem with the correlation coefficient as a measure of gene expression divergence.

Authors:  Vini Pereira; David Waxman; Adam Eyre-Walker
Journal:  Genetics       Date:  2009-10-12       Impact factor: 4.562

5.  Evolutionary processes acting on candidate cis-regulatory regions in humans inferred from patterns of polymorphism and divergence.

Authors:  Dara G Torgerson; Adam R Boyko; Ryan D Hernandez; Amit Indap; Xiaolan Hu; Thomas J White; John J Sninsky; Michele Cargill; Mark D Adams; Carlos D Bustamante; Andrew G Clark
Journal:  PLoS Genet       Date:  2009-08-07       Impact factor: 5.917

6.  Characterization and comparison of the tissue-related modules in human and mouse.

Authors:  Ruolin Yang; Bing Su
Journal:  PLoS One       Date:  2010-07-22       Impact factor: 3.240

7.  Gene family size conservation is a good indicator of evolutionary rates.

Authors:  Feng-Chi Chen; Chiuan-Jung Chen; Wen-Hsiung Li; Trees-Juen Chuang
Journal:  Mol Biol Evol       Date:  2010-03-01       Impact factor: 16.240

8.  Expression breadth and expression abundance behave differently in correlations with evolutionary rates.

Authors:  Seung Gu Park; Sun Shim Choi
Journal:  BMC Evol Biol       Date:  2010-08-07       Impact factor: 3.260

9.  Assessing the evolution of gene expression using microarray data.

Authors:  Owen Z Woody; Andrew C Doxey; Brendan J McConkey
Journal:  Evol Bioinform Online       Date:  2008-04-24       Impact factor: 1.625

10.  A comprehensive analysis of gene expression evolution between humans and mice.

Authors:  Yupeng Wang; Romdhane Rekaya
Journal:  Evol Bioinform Online       Date:  2009-07-06       Impact factor: 1.625

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