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Related Experiment Videos

Distance measures in terms of substitution processes.

E Baake1, A von Haeseler

  • 1Zoologisches Institut, Universität München, Luisenstrasse 14, München, D-80333, Germany. baake@zi.biologie.uni-muenchen.de

Theoretical Population Biology
|May 18, 1999
PubMed
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New phylogenetic distance measures like LogDet offer tree additivity. However, rate variation in non-stationary models prevents consistent tree reconstruction using these evolutionary distance methods.

Area of Science:

  • Computational Biology
  • Evolutionary Biology
  • Bioinformatics

Background:

  • Phylogenetic reconstruction requires accurate distance measures.
  • New methods like asynchronous, LogDet, and paralinear distances offer tree additivity.
  • Mechanistic understanding of these evolutionary distances is limited.

Purpose of the Study:

  • To review new phylogenetic distance measures within a unifying framework.
  • To clarify the relationships among asynchronous, LogDet, and paralinear distances.
  • To investigate the impact of rate variation on tree additivity.

Main Methods:

  • Review of existing literature on phylogenetic distance measures.
  • Analysis within the framework of continuous-time substitution processes.

Related Experiment Videos

  • Examination of site-to-site rate variation in sequence evolution models.

    • Main Results:

    • A unifying framework based on continuous-time substitution processes clarifies new distance measures.
    • Site-to-site rate variation can be corrected for homogeneous, stationary, and time-reversible models if rate distribution is known.
    • Non-stationary models with rate variation preclude tree-additive pairwise distance measures due to identical sequence pair distributions across different tree topologies.

    Conclusions:

    • The continuous-time substitution process provides a mechanistic interpretation for new phylogenetic distance measures.
    • Correcting for rate variation is possible in some models but not in non-stationary ones.
    • The limitations of existing distance measures under non-stationary models are highlighted, impacting phylogenetic tree accuracy.