Inferring evolutionary histories of pathway regulation from transcriptional profiling data.

ABSTRACT: One of the outstanding challenges in comparative genomics is to interpret the evolutionary importance of regulatory variation between species. Rigorous molecular evolution-based methods to infer evidence for natural selection from expression data are at a premium in the field, and to date, phylogenetic approaches have not been well-suited to address the question in the small sets of taxa profiled in standard surveys of gene expression. We have developed a strategy to infer evolutionary histories from expression profiles by analyzing suites of genes of common function. In a manner conceptually similar to molecular evolution models in which the evolutionary rates of DNA sequence at multiple loci follow a gamma distribution, we modeled expression of the genes of an a priori-defined pathway wi

SUBMITTER: Schraiber JG 

PROVIDER: S-EPMC3794907 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature