Positive selection drives a correlation between non-synonymous/synonymous divergence and functional divergence.
basic_science · Level V
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- Record sourced from PubMed, PMID 18443017.
- Also identified by DOI 10.1093/bioinformatics/btn205.
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Abstract
Functional divergence among proteins is often assumed to be strongly influenced by natural selection, as inferred from the ratio of non-synonymous nucleotide divergence (d(N)) to synonymous nucleotide divergence (d(S)). That is, the more a mutation changes protein function, the more likely it is to be either selected against or selectively favored, and because the d(N)/d(S) ratio is a measure of natural selection, this ratio can be used to predict the degree of functional divergence (d(F)). However, these hypotheses have rarely been experimentally tested. I present a novel method to address this issue, and demonstrate that divergence in bacteria-killing activity among animal antimicrobial peptides is positively correlated with the log of the d(N)/d(S) ratio. The primary cause of this pattern appears to be that positively selected substitutions change protein function more than neutral substitutions do. Thus, the d(N)/d(S) ratio is an accurate estimator of adaptive functional divergence. tennessj@science.oregonstate.edu Supplementary data, including GenBank Accession numbers, are available at Bioinformatics online.
Medical subject headings
- Antimicrobial Cationic Peptides
- Evolution, Molecular
- Genetic Variation
- Models, Genetic
- Selection, Genetic