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Related Experiment Videos

Total evidence, consensus, and bat phylogeny: A distance-based approach.

F J Lapointe1, J A Kirsch, J M Hutcheon

  • 1Département de sciences biologiques, Université de Montréal, Montréal, H3C 3J7, Québec. lapoinf@ere.umontreal.ca

Molecular Phylogenetics and Evolution
|March 20, 1999
PubMed
Summary

A new distance-based method resolves debates in phylogenetic tree analysis by unifying character and taxonomic congruence. This approach ensures comparable results across studies, even with different taxa, and supports a refined classification of bats.

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Area of Science:

  • Phylogenetics
  • Systematic Biology
  • Computational Biology

Background:

  • The debate between total evidence (character congruence) and consensus (taxonomic congruence) in phylogenetic tree construction lacks consistent validation methods.
  • Incomparable methods for tree construction versus combination and a focus solely on topology impede resolution.
  • Existing approaches struggle to integrate diverse data types and varying numbers of characters.

Purpose of the Study:

  • To introduce a uniform, distance-based approach for comparing phylogenetic analyses.
  • To enable comparability between character-congruence and taxonomic-congruence studies, regardless of shared taxa.
  • To address limitations in current methods for combining phylogenetic data and trees.

Main Methods:

  • Developed a uniform, distance-based protocol applicable to both tree-building and consensus analyses.

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  • Converted character-state data to distances for integration with other distance-based methods.
  • Treated all data sets and trees as distance matrices to standardize comparisons.

    • Main Results:

    • Total-evidence and consensus trees show minimal topological differences when branch lengths are considered.
    • The distance-based method successfully combines diverse data, including serology, DNA hybridization, and anatomy.
    • The protocol was validated using bat phylogenies, yielding a topology closely matching current classifications.

    Conclusions:

    • The proposed distance-based method provides a unified framework for resolving phylogenetic congruence debates.
    • This approach enhances the comparability and integration of diverse phylogenetic datasets.
    • The method offers a robust tool for phylogenetic inference, as demonstrated in the Chiroptera example.