文献类型： 外文期刊

第一作者： Rao, You Sheng

作者： Rao, You Sheng;Chai, Xue Wen;Wang, Zhang Feng;Rao, You Sheng;Nie, Qing Hua;Zhang, Xi Quan;Rao, You Sheng;Nie, Qing Hua;Zhang, Xi Quan

作者机构：

期刊名称：GENETICS SELECTION EVOLUTION （ 影响因子：4.297； 五年影响因子：4.925 ）

ISSN： 0999-193X

年卷期： 2013 年 45 卷

页码：

收录情况： SCI

摘要： Background: GC content varies greatly between different genomic regions in many eukaryotes. In order to determine whether this organization named isochore organization influences gene expression patterns, the relationship between GC content and gene expression has been investigated in man and mouse. However, to date, this question is still a matter for debate. Among the avian species, chicken (Gallus gallus) is the best studied representative with a complete genome sequence. The distinctive features and organization of its sequence make it a good model to explore important issues in genome structure and evolution. Methods: Only nuclear genes with complete information on protein-coding sequence with no evidence of multiple-splicing forms were included in this study. Chicken protein coding sequences, complete mRNA sequences (or full length cDNA sequences), and 5' untranslated region sequences (5' UTR) were downloaded from Ensembl and chicken expression data originated from a previous work. Three indices i.e. expression level, expression breadth and maximum expression level were used to measure the expression pattern of a given gene. CpG islands were identified using hgTables of the UCSC Genome Browser. Correlation analysis between variables was performed by SAS Proprietary Software Release 8.1. Results: In chicken, the GC content of 5' UTR is significantly and positively correlated with expression level, expression breadth, and maximum expression level, whereas that of coding sequences and introns and at the third coding position are negatively correlated with expression level and expression breadth, and not correlated with maximum expression level. These significant trends are independent of recombination rate, chromosome size and gene density. Furthermore, multiple linear regression analysis indicated that GC content in genes could explain approximately 10% of the variation in gene expression. Conclusions: GC content is significantly associated with gene expression pattern and could be one of the important regulation factors in the chicken genome.

分类号：