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The Genomic Rate of Adaptive Amino Acid Substitution in Drosophila

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Bierne, Nicolas, Eyre-Walker, Adam·2004·Molecular Biology and Evolution

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.

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Metadata

Authors
Bierne, N., & Eyre-Walker, A.
Venue
Molecular Biology and Evolution
Published
2004-07
Volume
21
Issue
7
Pages
1350-1360
ISSN
  • 0737-4038 (ISSN-L)
  • 1537-1719
OpenAlex
W2115325942
Cited by
225
References
3
FWCI
10.10
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The Genomic Rate of Adaptive Amino Acid Substitution in Drosophila. https://app.cochat.ai/papers/10.1093/molbev/msh134
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Bierne, N., & Eyre-Walker, A. (2004). The Genomic Rate of Adaptive Amino Acid Substitution in Drosophila. Molecular Biology and Evolution. https://doi.org/10.1093/molbev/msh134

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