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Who gave whom hemoglobin S: The use of restriction site haplotype variation for the interpretation of the evolution of the β<sup>S</sup> -globin gene.

American journal of human biology : the official journal of the Human Biology Council·2017
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Phylogenies and the forces of evolution.

Frank B Livingstone1

  • 1Department of Anthropology, University of Michigan, Ann Arbor, Michigan 48109.

American Journal of Human Biology : the Official Journal of the Human Biology Council
|May 19, 2017
PubMed
Summary
This summary is machine-generated.

Phylogenetic trees can accurately reflect geographic distance even with stable populations and local gene flow, not just binary fission. This suggests isolation by distance models can produce similar genetic patterns.

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Area of Science:

  • Population Genetics
  • Computational Biology
  • Human Evolution

Background:

  • Phylogenetic tree construction typically assumes population binary fission drives genetic variation.
  • Human populations often exhibit stability with local gene flow, aligning with isolation by distance models.

Purpose of the Study:

  • To investigate if isolation by distance models can generate phylogenetic trees comparable to those from binary fission.
  • To assess the correlation between genetic and geographic distances under different population models.

Main Methods:

  • Simulated gene frequency changes in 50 linearly arranged, stable populations over 500 generations.
  • Incorporated gene flow between neighboring populations.
  • Constructed phylogenetic trees from simulated gene frequencies using varying numbers of genetic loci.

Main Results:

  • With few loci, genetic and geographic distances showed low correlation.
  • With 40 or more loci, a perfect correlation between genetic and geographic distances was observed.
  • The isolation by distance model successfully simulated phylogenetic patterns.

Conclusions:

  • Population stability and local gene flow (isolation by distance) can produce phylogenetic trees similar to those from binary fission.
  • The number of genetic loci analyzed is crucial for detecting correlations between genetic and geographic distances.
  • This challenges the exclusive reliance on binary fission models for phylogenetic inference in certain human populations.