A phylogenetic mixture model for the evolution of gene expression.

Abstract:

:Microarray platforms are used increasingly to make comparative inferences through genome-wide surveys of gene expression. Although recent studies focus on describing the evidence for natural selection using estimates of the within- and between-taxa mutational variances, these methods do not explicitly or flexibly account for predicted nonindependence due to phylogenetic associations between measurements. In the interest of parsing the effects of selection: we introduce a mixture model for the comparative analysis of variation in gene expression across multiple taxa. This class of models isolates the phylogenetic signal from the nonphylogenetic and the heritable signal from the nonheritable while measuring the proper amount of correction. As a result, the mixture model resolves outstanding differences between existing models, relates different ways to estimate the across taxa variance, and induces a likelihood ratio test for selection. We investigate by simulation and application the feasibility and utility of estimation of the required parameters and the power of the proposed test. We illustrate analysis under this mixture model with a gene duplication family data set.

journal_name

Mol Biol Evol

authors

Eng KH,Bravo HC,Keleş S

doi

10.1093/molbev/msp149

subject

Has Abstract

pub_date

2009-10-01 00:00:00

pages

2363-72

issue

10

eissn

0737-4038

issn

1537-1719

pii

msp149

journal_volume

26

pub_type

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