Statistical phylogenetic tree analysis using differences of means

Elissaveta Arnaoudova, David C. Haws, Peter Huggins, Jerzy W. Jaromczyk, Neil Moore, Christopher L. Schardl, Ruriko Yoshida

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

We propose a statistical method to test whether two phylogenetic trees with given alignments are significantly incongruent. Our method compares the two distributions of phylogenetic trees given by two input alignments, instead of comparing point estimations of trees. This statistical approach can be applied to gene tree analysis for example, detecting unusual events in genome evolution such as horizontal gene transfer and reshuffling. Our method uses difference of means to compare two distributions of trees, after mapping trees into a vector space. Bootstrapping alignment columns can then be applied to obtain p-values. To compute distances between means, we employ a "kernel method" which speeds up distance calculations when trees are mapped in a high-dimensional feature space, e.g., splits or quartets feature space. In this pilot study, first we test our statistical method on data sets simulated under a coalescence model, to test whether two alignments are generated by congruent gene trees. We follow our simulation results with applications to data sets of gophers and lice, grasses and their endophytes, and different fungal genes from the same genome. A companion toolkit, Phylotree, is provided to facilitate computational experiments.

Original languageEnglish
Article number47
JournalFrontiers in Neuroscience
Volume4
Issue numberAUG
DOIs
StatePublished - 2010

Keywords

  • Difference of means
  • Phylogenetic trees
  • Tree congruency

ASJC Scopus subject areas

  • General Neuroscience

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