General Heterotachy and Distance Method Adjustments

被引:13
作者
Wu, Jihua [1 ]
Susko, Edward [1 ]
机构
[1] Dalhousie Univ, Dept Math & Stat, Halifax, NS, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
heterotachy; covarion model; distance method; tree estimation; LONG-BRANCH ATTRACTION; LIKELIHOOD PHYLOGENETIC ANALYSIS; GENOME-SCALE DATA; MAXIMUM-LIKELIHOOD; CHLOROPLAST GENOME; DNA-SEQUENCES; COVARIOTIDE MODEL; DIVERGENCE TIME; PARSIMONY; EVOLUTION;
D O I
10.1093/molbev/msp184
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Heterotachy is a general term to describe positions in a sequence that evolve at different rates in different lineages. Kolaczkowski and Thornton (2004. Performance of maximum parsimony and likelihood phylogenetics when evolution is heterogeneous. Nature 431:980-984.) recently described an intriguing heterotachy model that leads to topological bias for likelihood-based methods and parsimony methods. In this article, we show that heterotachy can generally be viewed as multivariate rates-across-sites variation, which can be described as randomly drawing rates (or branch lengths) from a multivariate distribution for each branch at each site. Motivated by this idea, we propose a pairwise alpha heterotachy adjustment model, which gives us much improved topological estimation in the settings by Kolaczkowski and Thornton (2004).
引用
收藏
页码:2689 / 2697
页数:9
相关论文
共 53 条