Identification of differentially evolved genes: an alternative approach to detection of accelerated molecular evolution from genome-wide comparative data.
One of the most important measures for detecting molecular adaptations between species/lineages at the gene level is the comparison of relative fixation rates of synonymous (dS) and non-synonymous (dN) mutations. This study shows that the branch model is sensitive to tree topology and proposes an alternative approach, devogs, which does not require phylogenetic topology for analysis. We compared devogs with a branch model method using virtual data and a varying ω ratio, in which parameters were obtained from real data. The positive predictive value, sensitivity, and specificity of the branch model were affected by the phylogenic tree topology. Devogs showed greater positive predictive value, whereas the branch model method had greater sensitivity. In a working example using devogs, a group of human RNA polymerase II-related genes, which are important in mediating alternative splicing, were significantly accelerated compared to four other mammals.
Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 151-742, Korea.
Kyu-Won
KW
Kim
David W
DW
Burt
Heebal
H
Kim
Seoae
S
Cho
branch model; dN/dS; devogs