An integrated view of the correlations between genomic and phenomic variables  

作　　者：Dong Yang,Ying Jiang,Fuchu He State Key Laboratory of Proteomics,Beijing Proteome Research Center,Beijing Institute of Radiation Medicine,Beijing 102206,China 

出　　处：《Journal of Genetics and Genomics》2009年第11期645-651,共7页遗传学报（英文版）

基　　金：supported by the National Hightech R&D Program (863 Program) (No. 2006AA02A308);the National Basic Research Program of China (973 Program) (No. 2006CB910401, 2006CB910801 and 2006CB910600);the National Natural Science Foundation of China (No. 30700988 and 30700356);the National Natural Science Foundation of China for Creative Research Groups (No. 30621063);the Chinese State Key Project Specialized for Infectious Diseases (No. 2008ZX10002-016, 2009ZX10004-103 and 2009ZX09301002);supported by the State Key Laboratory of Proteomics (No. SKLP-Y200801)

摘　　要：Genome sequencing opened the flood gate of ＂-omics＂ studies, among which the research about correlations between genomic and phenomic variables is an important part. With the development of functional genomics and systems biology, genome-wide investigation of the correlations between many genomic and phenomic variables became possible. In this review, five genomic variables, such as evolution rate （or ＂age＂ of the gene）, the length of intron and ORF （protein length） in one gene, the biases of amino acid composition and codon usage, along with the phenomic variables related to expression patterns （level and breadth） are focused on. In most cases, genes with higher mRNA/protein expression level tend to evolve slowly, have less intronic DNA, code for smaller proteins, and have higher biases of amino acid composition and codon usage. In addition, broadly expressed proteins evolve more slowly and are shorter than tissue-specific proteins. Studies in this field are helpful for deeper understanding the signatures of selection mediated by the features of gene expression and are of great significance to enrich the evolution theory.Genome sequencing opened the flood gate of ＂-omics＂ studies, among which the research about correlations between genomic and phenomic variables is an important part. With the development of functional genomics and systems biology, genome-wide investigation of the correlations between many genomic and phenomic variables became possible. In this review, five genomic variables, such as evolution rate （or ＂age＂ of the gene）, the length of intron and ORF （protein length） in one gene, the biases of amino acid composition and codon usage, along with the phenomic variables related to expression patterns （level and breadth） are focused on. In most cases, genes with higher mRNA/protein expression level tend to evolve slowly, have less intronic DNA, code for smaller proteins, and have higher biases of amino acid composition and codon usage. In addition, broadly expressed proteins evolve more slowly and are shorter than tissue-specific proteins. Studies in this field are helpful for deeper understanding the signatures of selection mediated by the features of gene expression and are of great significance to enrich the evolution theory.

关 键 词：genomic variable phenomic variable expression pattern EVOLUTION SELECTION 

分 类 号：Q78[生物学—分子生物学]