Literature DB >> 15044594

The genomic rate of adaptive amino acid substitution in Drosophila.

Nicolas Bierne1, Adam Eyre-Walker.   

Abstract

The proportion of amino acid substitutions driven by adaptive evolution can potentially be estimated from polymorphism and divergence data by an extension of the McDonald-Kreitman test. We have developed a maximum-likelihood method to do this and have applied our method to several data sets from three Drosophila species: D. melanogaster, D. simulans, and D. yakuba. The estimated number of adaptive substitutions per codon is not uniformly distributed among genes, but follows a leptokurtic distribution. However, the proportion of amino acid substitutions fixed by adaptive evolution seems to be remarkably constant across the genome (i.e., the proportion of amino acid substitutions that are adaptive appears to be the same in fast-evolving and slow-evolving genes; fast-evolving genes have higher numbers of both adaptive and neutral substitutions). Our estimates do not seem to be significantly biased by selection on synonymous codon use or by the assumption of independence among sites. Nevertheless, an accurate estimate is hampered by the existence of slightly deleterious mutations and variations in effective population size. The analysis of several Drosophila data sets suggests that approximately 25% +/- 20% of amino acid substitutions were driven by positive selection in the divergence between D. simulans and D. yakuba.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15044594     DOI: 10.1093/molbev/msh134

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


  113 in total

1.  Accelerated and adaptive evolution of yeast sexual adhesins.

Authors:  Xianfa Xie; Wei-Gang Qiu; Peter N Lipke
Journal:  Mol Biol Evol       Date:  2011-06-01       Impact factor: 16.240

2.  Patterns of selection on synonymous and nonsynonymous variants in Drosophila miranda.

Authors:  Carolina Bartolomé; Xulio Maside; Soojin Yi; Anna L Grant; Brian Charlesworth
Journal:  Genetics       Date:  2004-11-15       Impact factor: 4.562

3.  Reshaping of global gene expression networks and sex-biased gene expression by integration of a young gene.

Authors:  Sidi Chen; Xiaochun Ni; Benjamin H Krinsky; Yong E Zhang; Maria D Vibranovski; Kevin P White; Manyuan Long
Journal:  EMBO J       Date:  2012-04-27       Impact factor: 11.598

4.  Estimating the rate of adaptive molecular evolution when the evolutionary divergence between species is small.

Authors:  Peter D Keightley; Adam Eyre-Walker
Journal:  J Mol Evol       Date:  2012-02-12       Impact factor: 2.395

5.  The nearly neutral and selection theories of molecular evolution under the fisher geometrical framework: substitution rate, population size, and complexity.

Authors:  Pablo Razeto-Barry; Javier Díaz; Rodrigo A Vásquez
Journal:  Genetics       Date:  2012-03-16       Impact factor: 4.562

6.  Effective population size is positively correlated with levels of adaptive divergence among annual sunflowers.

Authors:  Jared L Strasburg; Nolan C Kane; Andrew R Raduski; Aurélie Bonin; Richard Michelmore; Loren H Rieseberg
Journal:  Mol Biol Evol       Date:  2010-10-15       Impact factor: 16.240

7.  Molecular evolution, mutation size and gene pleiotropy: a geometric reexamination.

Authors:  Pablo Razeto-Barry; Javier Díaz; Darko Cotoras; Rodrigo A Vásquez
Journal:  Genetics       Date:  2010-12-31       Impact factor: 4.562

8.  Estimating the genomewide rate of adaptive protein evolution in Drosophila.

Authors:  John J Welch
Journal:  Genetics       Date:  2006-04-02       Impact factor: 4.562

9.  Recombination yet inefficient selection along the Drosophila melanogaster subgroup's fourth chromosome.

Authors:  J Roman Arguello; Yue Zhang; Tomoyuki Kado; Chuanzhu Fan; Ruoping Zhao; Hideki Innan; Wen Wang; Manyuan Long
Journal:  Mol Biol Evol       Date:  2009-12-14       Impact factor: 16.240

10.  Hitchhiking effects of recurrent beneficial amino acid substitutions in the Drosophila melanogaster genome.

Authors:  Peter Andolfatto
Journal:  Genome Res       Date:  2007-11-07       Impact factor: 9.043

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.