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REVIEW Assessing the Evolution of Gene Expression Using Microarray Data
BibTeX
@MISC{Woody_reviewassessing,
author = {Owen Z. Woody and Andrew C. Doxey and Brendan J. Mcconkey},
title = {REVIEW Assessing the Evolution of Gene Expression Using Microarray Data},
year = {}
}
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Abstract
Abstract: Classical studies of the evolution of gene function have predominantly focused on mutations within protein coding regions. With the advent of microarrays, however, it has become possible to evaluate the transcriptional activity of a gene as an additional characteristic of function. Recent studies have revealed an equally important role for gene regulation in the retention and evolution of duplicate genes. Here we review approaches to assessing the evolution of gene expression using microarray data, and discuss potential influences on expression divergence. Currently, there are no established standards on how best to identify and quantify instances of expression divergence. There have also been few efforts to date that incorporate suspected influences into mathematical models of expression divergence. Such developments will be crucial to a comprehensive understanding of the role gene duplications and expression evolution play in the emergence of complex traits and functional diversity. An integrative approach to gene family evolution, including both orthologous and paralogous genes, has the potential to bring strong predictive power both to the functional annotation of extant proteins and to the inference of functional characteristics of ancestral gene family members.
Keyphrases
expression divergence gene expression using microarray data gene function important role duplicate gene transcriptional activity functional diversity role gene duplication complex trait classical study microarray data functional annotation established standard gene family evolution gene expression gene regulation additional characteristic potential influence integrative approach mathematical model functional characteristic comprehensive understanding extant protein paralogous gene recent study strong predictive power ancestral gene family member expression evolution play
