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Related Experiment Videos

Reconstructing evolutionary trees from DNA and protein sequences: paralinear distances

J A Lake1

  • 1Molecular Biology Institute, University of California, Los Angeles 90024.

Proceedings of the National Academy of Sciences of the United States of America
|February 15, 1994
PubMed
Summary

Unequal evolutionary rates can distort phylogenetic tree reconstruction. A new method, paralinear distances, is less affected by these rate effects and supports the eocyte origin of eukaryotes.

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Area of Science:

  • Phylogenetics and evolutionary biology
  • Bioinformatics and computational biology
  • Molecular evolution

Background:

  • Phylogenetic tree reconstruction from molecular sequences is often complicated by unequal evolutionary rates among taxa.
  • These rate variations can lead to inaccurate groupings, misrepresenting true evolutionary relationships.
  • Existing phylogenetic algorithms are sensitive to these rate effects, especially when their underlying assumptions are violated.

Purpose of the Study:

  • To introduce and validate a novel phylogenetic reconstruction algorithm, paralinear distances, designed to be robust against unequal evolutionary rate effects.
  • To assess the performance of paralinear distances across various sequence types and evolutionary models, specifically Markov processes.
  • To investigate the evolutionary origin of eukaryotes using elongation factor Tu sequences and paralinear distances.

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Main Methods:

  • Development of the paralinear distances algorithm, a method applicable to nucleic acid and protein sequences evolving under Markov processes.
  • Analytical and computational simulation-based validation of the paralinear distances method's properties.
  • Application of paralinear distances to analyze elongation factor Tu sequences to determine eukaryotic origins, testing sensitivity to sequence alignment variations.

Main Results:

  • Paralinear distances demonstrate reduced sensitivity to unequal evolutionary rates compared to other methods.
  • The algorithm's performance is validated analytically and through computer simulations.
  • Analysis of elongation factor Tu sequences revealed that alignment order significantly influences reconstructed tree topology, a common issue across methods.
  • After accounting for alignment order effects, paralinear distances consistently support the eocyte topology.

Conclusions:

  • Paralinear distances offer a more reliable method for phylogenetic reconstruction, particularly when dealing with unequal evolutionary rates.
  • The method provides strong evidence supporting the eocyte hypothesis for the origin of eukaryotes.
  • This study highlights the importance of addressing alignment artifacts in phylogenetic analyses and offers a robust tool for molecular evolution research.