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Bayesian Phylogenetic Inference from Animal Mitocondrial Genome Arrangements

Bret Larget, Donald L. Simon and Joseph B. Kadane

Abstract:

The determination of evolutionary relationships is a fundamental problem in evolutionary biology. Genome arrangement data is potentially more informative than DNA sequence data for inferring evolutionary relationships among distantly related taxa. We describe a Bayesian framework for phylogenetic inference from mitochondrial genome arrangement data using Markov chain Monte Carlo methods. We apply the method to assess evolutionary relationships among eight animal phyla.

Keywords: Breakpoint graph, genome rearrangement, Markov chain Monte Carlo, phylogency, singed permutations, sorting by reversal.

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