Literature DB >> 15958784

A dissection of volatility in yeast.

Nina Stoletzki1, John Welch, Joachim Hermisson, Adam Eyre-Walker.   

Abstract

It has been suggested that volatility, the proportion of mutations which change an amino acid, can be used to infer the level of natural selection acting upon a gene. This conjecture is supported by a correlation between volatility and the rate of nonsynonymous substitution (dN), or the ratio of nonsynonymous and synonymous substitution rates, in a variety of organisms. These organisms include yeast, in which the correlations are quite strong. Here we show that these correlations are a by-product of a correlation between synonymous codon bias toward translationally optimal codons and dN. Although this analysis suggests that volatility is not a good measure of the selection, we suggest that it might be possible to infer something about the level of natural selection, from a single genome sequence, using translational codon bias.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15958784     DOI: 10.1093/molbev/msi192

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


  3 in total

1.  Codon usage and selection on proteins.

Authors:  Joshua B Plotkin; Jonathan Dushoff; Michael M Desai; Hunter B Fraser
Journal:  J Mol Evol       Date:  2006-10-14       Impact factor: 2.395

2.  In Arabidopsis thaliana codon volatility scores reflect GC3 composition rather than selective pressure.

Authors:  Mary J O'Connell; Aisling M Doyle; Thomas E Juenger; Mark T A Donoghue; Channa Keshavaiah; Reetu Tuteja; Charles Spillane
Journal:  BMC Res Notes       Date:  2012-07-17

3.  A high load of non-neutral amino-acid polymorphisms explains high protein diversity despite moderate effective population size in a marine bivalve with sweepstakes reproduction.

Authors:  Estelle Harrang; Sylvie Lapègue; Benjamin Morga; Nicolas Bierne
Journal:  G3 (Bethesda)       Date:  2013-02-01       Impact factor: 3.154

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.