Bayesian phylogenetic inference from animal mitochondrial genome arrangements
Bret Larget, Donald L. Simon, Joseph B. Kadane
Journal of the Royal Statistical Society: Series B (Statistical Methodology) · 2002 · Volume 64 · Issue 4
Abstract
Summary.The determination of evolutionary relationships is a fundamental problem in evolutionary biology. Genome arrangement data are potentially more informative than deoxyribonucleic acid sequence data for inferring evolutionary relationships between 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 between eight animal phyla.
Keywords
Break point graph, Genome rearrangement, Markov chain Monte Carlo methods, Phylogeny, Signed permutations, Sorting by reversal
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