Evolutionary and expression profiles of gene families crucial for central nervous system development

Authors:
Yufeng Wang;Xun Gu
Affiliations:
Department of Bioinformatics, American Type Culture Collection (ATCC), Manassas, VA;Department of Zoology and Genetics, Center for Bioinformatics and Biological Statistics, Iowa State University, Ames, IA
Venue:
Information Sciences—Informatics and Computer Science: An International Journal - Bioinformatics-selected papers from 4th CBGI & 6th JCIS Proceedings
Year:
2002

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Abstract

Tissue or developmental-specificity in central nervous system (CNS) represents strong functional diversity in high eukaryote genomes. Expression profile and sequence data become two major lines of information. In this paper, we conducted evolutionary analysis for the expression profiles of 14 gene families (57 genes) in vertebrate CNS development. We found the strong association between developmental profile and the gene family diversity. We speculate that gen(om)e duplication might be the evolutionary basis for functional diversity. This expression/sequence dual informatics approach is useful for tracking the genetic regulatory changes in complex biosystem.