Bayesian phylogenetic inference from animal mitochondrial genome arrangements

• 成果类型: Article; Proceedings Paper
• 署名作者: Larget, B; Simon, DL; Kadane, JB
• 署名单位: Duquesne University; Carnegie Mellon University
• 刊物名称: JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
• ISSN/ISSBN: 1369-7412
• DOI: 10.1111/1467-9868.00356
• 发表日期: 2002
• 页码: 681-693
• 关键词: chain monte-carlo; evolutionary trees; dna-sequences; gene order

摘要

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.