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Comparative phylogeographic summary statistics for testing simultaneous vicariance.

M J Hickerson1, G Dolman, C Moritz

  • 1Museum of Vertebrate Zoology, University of California, 3101 Valley Life Sciences Building, Berkeley, California 94720-3160, USA. mhick@berkeley.edu

Molecular Ecology
|December 22, 2005
PubMed
Summary

Testing for simultaneous vicariance is challenging due to genetic variance. Our study reveals Tajima's D and net nucleotide divergence (pi(net)) variance can effectively distinguish vicariance histories in comparative phylogeography.

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Area of Science:

  • Evolutionary Biology
  • Population Genetics
  • Phylogeography

Background:

  • Testing for simultaneous vicariance in comparative phylogeography is complex.
  • Challenges include mutational variance, coalescent variance, and inter-taxon parameter variability.
  • Existing methods struggle with distinguishing simultaneous vicariance from varied evolutionary histories.

Purpose of the Study:

  • To simulate vicariance events to assess summary statistics.
  • To characterize the behavior of commonly used statistics in comparative phylogeographic datasets.
  • To identify robust statistical approaches for testing simultaneous vicariance.

Main Methods:

  • Simulated vicariance events across various divergence times.
  • Analyzed multiple summary statistics, including Tajima's D and Nei and Li's net nucleotide divergence (pi(net)).

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  • Evaluated the variance of these statistics across multiple taxon pairs in simulated datasets.

    • Main Results:

    • Tajima's D showed low correlation with other statistics across divergence times.
    • For ancient vicariance, variance in Tajima's D was superior to pi(net) variance for distinguishing histories.
    • For recent vicariance, the opposite pattern emerged, with pi(net) variance being more informative.

    Conclusions:

    • The variance of Tajima's D and pi(net) are powerful, albeit context-dependent, statistics for testing simultaneous vicariance.
    • These statistics can achieve high statistical power in rejecting simultaneous vicariance under various conditions.
    • Future simulation-based methods should integrate components of these statistics for robust comparative phylogeographic hypothesis testing.