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PMID: 19620398 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Estimating selection intensity on synonymous codon usage in a nonequilibrium population.

Genetics ·Vol. 183 ·No. 2 ·2009-10-00 ·Pages 651-62, 1SI-23SI

Zeng K, Charlesworth B

Abstract

Codon usage bias is the nonrandom use of synonymous codons for the same amino acid. Most population genetic models of codon usage evolution assume that the population is at mutation-selection-drift equilibrium. Natural populations, however, frequently deviate from equilibrium, often because of recent demographic changes. Here, we construct a matrix model that includes the effects of a recent change in population size on estimates of selection on preferred vs. unpreferred codons. Our results suggest that patterns of synonymous polymorphisms affecting codon usage can be quite erratic after such a change; statistical methods that fail to take demographic effects into account can then give incorrect estimates of important parameters. We propose a new method that can accurately estimate both demographic and codon usage parameters. The method also provides a simple way of testing for the effects of covariates such as gene length and level of gene expression on the intensity of selection, which we apply to a large Drosophila melanogaster polymorphism data set. Our analyses of twofold degenerate codons reveal that (i) selection acts in favor of preferred codons, (ii) there is mutational bias in favor of unpreferred codons, (iii) shorter genes and genes with higher expression levels are under stronger selection, and (iv) there is little evidence for a recent change in population size in the Zimbabwe population of D. melanogaster.

MeSH Terms
Algorithms Animals Codon/genetics Drosophila melanogaster/genetics Evolution, Molecular Genetics, Population Models, Genetic Mutation Polymorphism, Genetic/genetics Population Density Selection, Genetic
Chemicals
Codon
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Zeng Kai
Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK. [email protected]
Charlesworth Brian
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Article Info
Journal
Genetics
Abbr.
Genetics
ISSN
1943-2631
Published
2009-10-00
Epub
2009-00-20
Pages
651-62, 1SI-23SI
Language
English
Region
United States
NLM ID
0374636
PMCID
PMC2766324
Subset
IM
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