Literature DB >> 18367463

Fast evolution of core promoters in primate genomes.

Han Liang1, Yeong-Shin Lin, Wen-Hsiung Li.   

Abstract

Despite much interest in regulatory evolution, how promoters have evolved remains poorly studied, mainly owing to paucity of data on promoter regions. Using a new set of high-quality experimentally determined core promoters of the human genome, we conducted a comparative analysis of 2,492 human and rhesus macaque promoters and their neighboring nearly neutral regions. We found that the core promoters have an average rate of nucleotide substitution substantially higher than that at 4-fold degenerate sites and only slightly lower than that for the assumed neutral controls of neighboring noncoding regions, suggesting that core promoters are subject to very weak selective constraints. Interestingly, we identified 24 core promoters (at false discovery rate = 50%) that have evolved at an accelerated rate compared with the neutral controls, suggesting that they may have undergone positive selection. The inferred positively selected genes show strong bias in molecular function. We also used population genetic approaches to examine the evolution of core promoters in human populations and found evidence of positive selection at some loci. Taken together, our results suggest that positive selection has played a substantial role in the evolution of transcriptional regulation in primates.

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Year:  2008        PMID: 18367463      PMCID: PMC2878000          DOI: 10.1093/molbev/msn072

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


  29 in total

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Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

5.  Aligning multiple genomic sequences with the threaded blockset aligner.

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Journal:  PLoS Genet       Date:  2007-07-18       Impact factor: 5.917

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  7 in total

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3.  Lowly expressed human microRNA genes evolve rapidly.

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Journal:  Mol Biol Evol       Date:  2009-03-19       Impact factor: 16.240

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Journal:  Genome Biol Evol       Date:  2021-12-01       Impact factor: 3.416

5.  Coding region structural heterogeneity and turnover of transcription start sites contribute to divergence in expression between duplicate genes.

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Journal:  Genome Biol       Date:  2009-01-28       Impact factor: 13.583

6.  Motif composition, conservation and condition-specificity of single and alternative transcription start sites in the Drosophila genome.

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7.  Gains and Losses of Transcription Factor Binding Sites in Saccharomyces cerevisiae and Saccharomyces paradoxus.

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Journal:  Genome Biol Evol       Date:  2015-07-27       Impact factor: 3.416

  7 in total

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