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Population genetics of polymorphism and divergence.

S A Sawyer1, D L Hartl

  • 1Department of Mathematics, Washington University, St. Louis, Missouri 63130.

Genetics
|December 1, 1992
PubMed
Summary

This study models mutant site frequencies in Drosophila to estimate population size and divergence time. Findings suggest a limited number of beneficial mutations influence evolution in the alcohol dehydrogenase gene.

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Area of Science:

  • Evolutionary genetics
  • Population genetics
  • Molecular evolution

Background:

  • Understanding the evolutionary dynamics of genes requires accurate modeling of mutation frequencies and selection.
  • The alcohol dehydrogenase (Adh) gene in Drosophila provides a valuable model system for studying molecular evolution due to its well-characterized nature and available genomic data.

Purpose of the Study:

  • To develop and apply a Poisson random field model to estimate evolutionary parameters in closely related species.
  • To infer effective population size, species divergence time, and selection coefficients for the Adh gene in Drosophila simulans and Drosophila yakuba.
  • To estimate the number of amino acid sites susceptible to advantageous mutations.

Main Methods:

  • Utilized a Poisson random field model to analyze nucleotide site frequencies.
  • Applied the model to nucleotide sequence data from the Adh gene in Drosophila simulans and Drosophila yakuba.
  • Incorporated sampling theory for the infinite sites model with selection.

Main Results:

  • Estimated effective population size (N(e)) at 6.5 x 10^6 and species divergence time (tdiv) at 3.74 million years.
  • Calculated an average selection coefficient (sigma) of 1.53 x 10^-6 per generation for advantageous or mildly detrimental replacements.
  • Estimated 2-23 amino acid sites in the enzyme are susceptible to favorable mutation.

Conclusions:

  • The study provides a theoretical framework for analyzing molecular evolution using contingency tables to compare different types of genetic variation.
  • The findings offer insights into the balance of selection and neutrality in shaping gene evolution within Drosophila species.
  • The model successfully estimates key evolutionary parameters, highlighting the utility of population genetics approaches in understanding gene function and adaptation.

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