Bayesian Phylogenetic Inference from Animal Mitochondrial Genome Arrangements

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.
Funding Information
  • National Science Foundation (DEB-0075406, DMS-9801401)