Plastid genome phylogeny and a model of amino acid substitution for proteins encoded by chloroplast DNA

被引:163
作者
Adachi, J
Waddell, PJ
Martin, W
Hasegawa, M
机构
[1] Univ Oxford, Dept Zool, Oxford OX1 3PS, England
[2] Inst Stat Math, Minato Ku, Tokyo 1068569, Japan
[3] Tech Univ Braunschweig, Inst Genet, D-38023 Braunschweig, Germany
关键词
maximum likelihood; general reversible Markov model; amino acid substitution; chloroplast DNA; AA LogDet;
D O I
10.1007/s002399910038
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
Maximum likelihood (ML) phylogenies based on 9,957 amino acid (AA) sites of 45 proteins encoded in the plastid genomes of Cyanophora, a diatom, a rhodophyte (red algae), a euglenophyte, and five land plants are compared with respect to several properties of the data, including between-site rate variation and aberrant amino acid composition in individual species. Neighbor-joining trees from AA LogDet distances and ML analyses are seen to be congruent when site rate variability was taken into account. Four feasible trees are identified in these analyses, one of which is preferred, and one of which is almost excluded by statistical criteria. A transition probability matrix for the general reversible Markov model of amino acid substitutions is estimated from the data, assuming each of these four trees. In all cases, the tree with diatom and rhodophyte as sister taxa was clearly favored. The new transition matrix based on the best tree, called cpREV, takes into account distinct substitution patterns in plastid-encoded proteins and should be useful in future ML inferences using such data. A second rate matrix, called cpREV*, based on a weighted sum of rate matrices from different trees, is also considered.
引用
收藏
页码:348 / 358
页数:11
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