经济动物学报2012，Vol.16Issue(3)：133-139,7.
马鹿生长激素（GH）基因生物信息学预测及分析
Bioinformatics Prediction and Analysis on GH Gene of Cervus elaphus
摘要
Abstract
In order to study the structure and function of GH gene of wapiti, coding sequences(CDS) of GH gene in wapiti, sika deer, chevrotain, cattle, goat, sheep, pig, human, chimpanzee, Norway rat, house mouse, arctic fox, dog, chicken and zebrafish were downloaded from GenBank as experimental ma- terials. Bioinformaties analysis was made on basic information and encoding protein structure, physic- chemical property, signal peptide, transmembrane structure, generic phosphorylation sites, secondary structure and subcellular localization were predicted by means of biologic software and online tools. In ad- dition, the similarity of GH gene CDS sequence and amino acid between those of wapiti and other 14 species were also analyzed. Phylogentic tree of the homologous gene based on the amino acid of GH gene was constructed. The results showed that the length of wapiti GH gene was 2 100 bp, which included 5 exons, 4 introns, partial 5'UTR and 3'UTR, and it contained an open reading frame of 654 bp, which encoded 217 amino acids. The estimated molecular weight of GH protein was 24.588 4 ku, with a iso- electric point of 7.62 and 31.04 in stability index, belonging to the stable alkalinous protein with hy- drophobicity. The GH protein had two obvious strong transmembrane region, eight phosphorylation sites. The secondary structure of GH protein was mainly α-helix and irregular curly. The extracellular protein contained one signal peptide was probably being secreting type. The similarity comparison and phyloge- netic tree indicated that the evolution distance of wapiti GH gene was the most homogeneous to sika deer, chevrotain, cattle, goat and sheep. The research provided detailed bioinformatics information for further study on GH gene of wapiti.关键词
马鹿/生长激素基因/生物信息学/系统进化Key words
Cervus elaphus/GH gene/bioinformatics/phylogenetic evolution分类
生物科学引用本文复制引用
宋兴超,杨福合,刘汇涛,徐超,魏海军,邢秀梅..马鹿生长激素（GH）基因生物信息学预测及分析[J].经济动物学报,2012,16(3):133-139,7.基金项目
国家科技支撑计划项目 （）
国家公益性行业（农业）科研专项资助项目 （）
