Literature DB >> 18178545

Mutation-selection models of codon substitution and their use to estimate selective strengths on codon usage.

Ziheng Yang1, Rasmus Nielsen.   

Abstract

Current models of codon substitution are formulated at the levels of nucleotide substitution and do not explicitly consider the separate effects of mutation and selection. They are thus incapable of inferring whether mutation or selection is responsible for evolution at silent sites. Here we implement a few population genetics models of codon substitution that explicitly consider mutation bias and natural selection at the DNA level. Selection on codon usage is modeled by introducing codon-fitness parameters, which together with mutation-bias parameters, predict optimal codon frequencies for the gene. The selective pressure may be for translational efficiency and accuracy or for fine-tuning translational kinetics to produce correct protein folding. We apply the models to compare mitochondrial and nuclear genes from several mammalian species. Model assumptions concerning codon usage are found to affect the estimation of sequence distances (such as the synonymous rate d(S), the nonsynonymous rate d(N), and the rate at the 4-fold degenerate sites d(4)), as found in previous studies, but the new models produced very similar estimates to some old ones. We also develop a likelihood ratio test to examine the null hypothesis that codon usage is due to mutation bias alone, not influenced by natural selection. Application of the test to the mammalian data led to rejection of the null hypothesis in most genes, suggesting that natural selection may be a driving force in the evolution of synonymous codon usage in mammals. Estimates of selection coefficients nevertheless suggest that selection on codon usage is weak and most mutations are nearly neutral. The sensitivity of the analysis on the assumed mutation model is discussed.

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Year:  2008        PMID: 18178545     DOI: 10.1093/molbev/msm284

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


  123 in total

1.  Testing for selection on synonymous sites in plant mitochondrial DNA: the role of codon bias and RNA editing.

Authors:  Daniel B Sloan; Douglas R Taylor
Journal:  J Mol Evol       Date:  2010-04-28       Impact factor: 2.395

2.  Detecting positive and purifying selection at synonymous sites in yeast and worm.

Authors:  Tong Zhou; Wanjun Gu; Claus O Wilke
Journal:  Mol Biol Evol       Date:  2010-03-15       Impact factor: 16.240

3.  How to calculate the non-synonymous to synonymous rate ratio of protein-coding genes under the Fisher-Wright mutation-selection framework.

Authors:  Mario Dos Reis
Journal:  Biol Lett       Date:  2015-04       Impact factor: 3.703

4.  Basing population genetic inferences and models of molecular evolution upon desired stationary distributions of DNA or protein sequences.

Authors:  Sang Chul Choi; Benjamin D Redelings; Jeffrey L Thorne
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-12-27       Impact factor: 6.237

Review 5.  You're one in a googol: optimizing genes for protein expression.

Authors:  Mark Welch; Alan Villalobos; Claes Gustafsson; Jeremy Minshull
Journal:  J R Soc Interface       Date:  2009-03-11       Impact factor: 4.118

6.  Phylogenetic inference with weighted codon evolutionary distances.

Authors:  Alexis Criscuolo; Christian J Michel
Journal:  J Mol Evol       Date:  2009-03-24       Impact factor: 2.395

Review 7.  Models of coding sequence evolution.

Authors:  Wayne Delport; Konrad Scheffler; Cathal Seoighe
Journal:  Brief Bioinform       Date:  2008-10-29       Impact factor: 11.622

8.  Why do more divergent sequences produce smaller nonsynonymous/synonymous rate ratios in pairwise sequence comparisons?

Authors:  Mario Dos Reis; Ziheng Yang
Journal:  Genetics       Date:  2013-06-21       Impact factor: 4.562

9.  Different evolutionary trajectories of European avian-like and classical swine H1N1 influenza A viruses.

Authors:  Eleca J Dunham; Vivien G Dugan; Emilee K Kaser; Sarah E Perkins; Ian H Brown; Edward C Holmes; Jeffery K Taubenberger
Journal:  J Virol       Date:  2009-03-18       Impact factor: 5.103

10.  Mistranslation-induced protein misfolding as a dominant constraint on coding-sequence evolution.

Authors:  D Allan Drummond; Claus O Wilke
Journal:  Cell       Date:  2008-07-25       Impact factor: 41.582

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