Literature DB >> 16520335

Low rates of expression profile divergence in highly expressed genes and tissue-specific genes during mammalian evolution.

Ben-Yang Liao1, Jianzhi Zhang.   

Abstract

Evolutionary rates provide important information about the pattern and mechanism of evolution. Although the rate of gene sequence evolution has been well studied, the rate of gene expression evolution is poorly understood. In particular, it is unclear whether the gene expression level and tissue specificity influence the divergence of expression profiles between orthologous genes. Here we address this question using a microarray data set comprising the expression signals of 10,607 pairs of orthologous human and mouse genes from over 60 tissues per species. We show that the level of gene expression and the degree of tissue specificity are generally conserved between the human and mouse orthologs. The rate of gene expression profile change during evolution is negatively correlated with the level of gene expression, measured by either the average or the highest level among all tissues examined. This is analogous to the observation that the rate of gene (or protein) sequence evolution is negatively correlated with the gene expression level. The impacts of the degree of tissue specificity on the evolutionary rate of gene sequence and that of expression profile, however, are opposite. Highly tissue-specific genes tend to evolve rapidly at the gene sequence level but slowly at the expression profile level. Thus, different forces and selective constraints must underlie the evolution of gene sequence and that of gene expression.

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Year:  2006        PMID: 16520335     DOI: 10.1093/molbev/msj119

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


  77 in total

1.  Contrasting genetic paths to morphological and physiological evolution.

Authors:  Ben-Yang Liao; Meng-Pin Weng; Jianzhi Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-05       Impact factor: 11.205

2.  Expression Differentiation Is Constrained to Low-Expression Proteins over Ecological Timescales.

Authors:  Mark J Margres; Kenneth P Wray; Margaret Seavy; James J McGivern; Nathanael D Herrera; Darin R Rokyta
Journal:  Genetics       Date:  2015-11-06       Impact factor: 4.562

3.  Large scale comparison of global gene expression patterns in human and mouse.

Authors:  Xiangqun Zheng-Bradley; Johan Rung; Helen Parkinson; Alvis Brazma
Journal:  Genome Biol       Date:  2010-12-23       Impact factor: 13.583

4.  Are sex-biased genes more dispensable?

Authors:  Judith E Mank; Hans Ellegren
Journal:  Biol Lett       Date:  2009-01-14       Impact factor: 3.703

Review 5.  Cross species analysis of microarray expression data.

Authors:  Yong Lu; Peter Huggins; Ziv Bar-Joseph
Journal:  Bioinformatics       Date:  2009-04-08       Impact factor: 6.937

6.  Dynamism in gene expression across multiple studies.

Authors:  Alexander A Morgan; Joel T Dudley; Tarangini Deshpande; Atul J Butte
Journal:  Physiol Genomics       Date:  2009-11-17       Impact factor: 3.107

7.  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

8.  Null mutations in human and mouse orthologs frequently result in different phenotypes.

Authors:  Ben-Yang Liao; Jianzhi Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2008-05-05       Impact factor: 11.205

9.  Evolutionary rate and gene expression across different brain regions.

Authors:  Tamir Tuller; Martin Kupiec; Eytan Ruppin
Journal:  Genome Biol       Date:  2008       Impact factor: 13.583

Review 10.  Adaptive evolution of mammalian aromatases: lessons from Suiformes.

Authors:  A J Conley; C J Corbin; A L Hughes
Journal:  J Exp Zool A Ecol Genet Physiol       Date:  2009-06-01
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