Literature DB >> 11420372

The frequency distribution of nucleotide variation in Drosophila simulans.

D J Begun1.   

Abstract

Patterns of codon bias in Drosophila suggest that silent mutations can be classified into two types: unpreferred (slightly deleterious) and preferred (slightly beneficial). Results of previous analyses of polymorphism and divergence in Drosophila simulans were interpreted as supporting a mutation-selection-drift model in which slightly deleterious, silent mutants make significantly greater contributions to polymorphism than to divergence. Frequencies of unpreferred polymorphisms were inferred to be lower than frequencies of other silent polymorphisms. Here, I analyzed additional D. simulans data to reevaluate the support for these ideas. I found that D. simulans has fixed more unpreferred than preferred mutations, suggesting that this lineage has not been at mutation-selection-drift equilibrium at silent sites. Frequencies of polarized unpreferred polymorphisms are not skewed toward rare alleles. However, frequencies of unpolarized unpreferred codons are lower in high-bias genes than in low-bias genes. This supports the idea that unpreferred codons are borderline deleterious mutations. Purifying selection on silent sites appears to be stronger at twofold-degenerate codons than at fourfold-degenerate codons. Finally, I found that X-linked polymorphisms occur at a higher average frequency than polymorphisms on chromosome arm 3R, even though an average X-linked site is significantly less likely to be polymorphic than an average site on 3R. This result supports a previous analysis of D. simulans indicating different population genetics of X-linked versus autosomal mutations.

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Year:  2001        PMID: 11420372     DOI: 10.1093/oxfordjournals.molbev.a003918

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


  23 in total

1.  Interactions between natural selection, recombination and gene density in the genes of Drosophila.

Authors:  Jody Hey; Richard M Kliman
Journal:  Genetics       Date:  2002-02       Impact factor: 4.562

2.  Genomic effects of nucleotide substitutions in Drosophila simulans.

Authors:  Andrew D Kern; Corbin D Jones; David J Begun
Journal:  Genetics       Date:  2002-12       Impact factor: 4.562

3.  Changing effective population size and the McDonald-Kreitman test.

Authors:  Adam Eyre-Walker
Journal:  Genetics       Date:  2002-12       Impact factor: 4.562

4.  Hypervariable noncoding sequences in Saccharomyces cerevisiae.

Authors:  Justin C Fay; Joseph A Benavides
Journal:  Genetics       Date:  2005-06-14       Impact factor: 4.562

5.  Intragenic spatial patterns of codon usage bias in prokaryotic and eukaryotic genomes.

Authors:  Hong Qin; Wei Biao Wu; Josep M Comeron; Martin Kreitman; Wen-Hsiung Li
Journal:  Genetics       Date:  2004-12       Impact factor: 4.562

6.  Decreased diversity but increased substitution rate in host mtDNA as a consequence of Wolbachia endosymbiont infection.

Authors:  D DeWayne Shoemaker; Kelly A Dyer; Mike Ahrens; Kevin McAbee; John Jaenike
Journal:  Genetics       Date:  2004-12       Impact factor: 4.562

7.  Evaluation of Ancestral Sequence Reconstruction Methods to Infer Nonstationary Patterns of Nucleotide Substitution.

Authors:  Tomotaka Matsumoto; Hiroshi Akashi; Ziheng Yang
Journal:  Genetics       Date:  2015-05-06       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.  Population genomics: whole-genome analysis of polymorphism and divergence in Drosophila simulans.

Authors:  David J Begun; Alisha K Holloway; Kristian Stevens; Ladeana W Hillier; Yu-Ping Poh; Matthew W Hahn; Phillip M Nista; Corbin D Jones; Andrew D Kern; Colin N Dewey; Lior Pachter; Eugene Myers; Charles H Langley
Journal:  PLoS Biol       Date:  2007-11-06       Impact factor: 8.029

10.  Natural selection drives Drosophila immune system evolution.

Authors:  Todd A Schlenke; David J Begun
Journal:  Genetics       Date:  2003-08       Impact factor: 4.562

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