Testing for differences in rates-across-sites distributions in phylogenetic subtrees

被引:42
作者
Susko, E [1 ]
Inagaki, Y
Field, C
Holder, ME
Roger, AJ
机构
[1] Dalhousie Univ, Dept Math & Stat, Halifax, NS B3H 3J5, Canada
[2] Dalhousie Univ, Canadian Inst Adv Res, Dept Biochem & Mol Biol, Program Evolutionary Biol, Halifax, NS B3H 3J5, Canada
[3] Xeotron Corp, Houston, TX USA
关键词
covarion; rates-across-sites; Markov models; maximum likelihood; molecular evolution; phylogenetics;
D O I
10.1093/oxfordjournals.molbev.a004214
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
It has long been recognized that the rates of molecular evolution vary amongst sites in proteins. The usual model for rate heterogeneity assumes independent rate variation according to a rate distribution. In such models the rate at a site, although random, is assumed fixed throughout the evolutionary tree. Recent work by several groups has suggested that rates at sites often vary across subtrees of the larger tree as well as across sites. This phenomenon is not captured by most phylogenetic models but instead is more similar to the covarion model of Fitch and coworkers. In this article we present methods that can be useful in detecting whether different rates occur in two different subtrees of the larger tree and where these differences occur. Parametric bootstrapping and orthogonal regression methodologies are used to test for rate differences and to make statements about the general differences in the rates at sites. Confidence intervals based on the conditional distributions of rates at sites are then used to detect where the rate differences occur. Such methods will be helpful in studying the phylogenetic. structural, and functional bases of changes in evolutionary rates at sites, a phenomenon that has important consequences for deep phylogenetic inference.
引用
收藏
页码:1514 / 1523
页数:10
相关论文
共 21 条
[1]  
[Anonymous], 1978, Atlas of protein sequence and structure
[2]  
Casella G., 2021, STAT INFERENCE
[3]   A hidden Markov Model approach to variation among sites in rate of evolution [J].
Felsenstein, J ;
Churchill, GA .
MOLECULAR BIOLOGY AND EVOLUTION, 1996, 13 (01) :93-104
[4]   EVOLUTIONARY TREES FROM DNA-SEQUENCES - A MAXIMUM-LIKELIHOOD APPROACH [J].
FELSENSTEIN, J .
JOURNAL OF MOLECULAR EVOLUTION, 1981, 17 (06) :368-376
[5]  
FELSENSTEIN J, 1993, PHYLIP VERSION 3 5C
[6]   AN IMPROVED METHOD FOR DETERMINING CODON VARIABILITY IN A GENE AND ITS APPLICATION TO RATE OF FIXATION OF MUTATIONS IN EVOLUTION [J].
FITCH, WM ;
MARKOWITZ, E .
BIOCHEMICAL GENETICS, 1970, 4 (05) :579-+
[7]   Maximum-likelihood phylogenetic analysis under a covarion-like model [J].
Galtier, N .
MOLECULAR BIOLOGY AND EVOLUTION, 2001, 18 (05) :866-873
[8]   Function-structure analysis of proteins using covarion-based evolutionary approaches: Elongation factors [J].
Gaucher, EA ;
Miyamoto, MM ;
Benner, SA .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2001, 98 (02) :548-552
[9]   Maximum-likelihood approach for gene family evolution under functional divergence [J].
Gu, X .
MOLECULAR BIOLOGY AND EVOLUTION, 2001, 18 (04) :453-464
[10]   Evolution of the eukaryotic translation termination system: Origins of release factors [J].
Inagaki, Y ;
Doolittle, WF .
MOLECULAR BIOLOGY AND EVOLUTION, 2000, 17 (06) :882-889