Quantitative prediction of molecular clock and Ka/Ks at short timescales

Grant I. Peterson, Joanna Masel

Research output: Contribution to journalArticlepeer-review

87 Scopus citations

Abstract

Recent empirical studies of taxa including humans, fish, and birds have shown elevated rates of molecular evolution between species that diverged recently. Using the Moran model, we calculate expected divergence as a function of time. Our findings suggest that the observed phenomenon of elevated rates at short timescales is consistent with standard population genetics theory. The apparent acceleration of the molecular clock at short timescales can be explained by segregating polymorphisms present at the time of the ancestral population, both neutral and slightly deleterious, and not newly arising slightly deleterious mutations as has been previously hypothesized. Our work also suggests that the duration of the rate elevation depends on the effective population size, providing a method to correct time estimates of recent divergence events. Our model concords with estimates of divergence obtained from African cichlid fish and humans. As an additional application of our model, we calculate that Ka/Ks is elevated within a population before decaying slowly to its long-term value. Similar to the molecular clock, the duration and magnitude of Ka/Ks elevation depend on the effective population size. Unlike the molecular clock, however, Ka/Ks elevation is caused by newly arising slightly deleterious mutations. This elevation, although not as severe in magnitude as had been previously predicted in models neglecting ancestral polymorphism, persists slightly longer.

Original languageEnglish (US)
Pages (from-to)2595-2603
Number of pages9
JournalMolecular biology and evolution
Volume26
Issue number11
DOIs
StatePublished - Nov 2009

Keywords

  • Distribution of fitness effects
  • Divergence date
  • Ks
  • Moran model
  • Theoretical populations genetics

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Molecular Biology
  • Genetics

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