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