福建农业学报2016，Vol.31Issue(4)：384-388,5.DOI:10.19303/j.issn.1008-0384.2016.04.010
全基因组预测枯草芽孢杆菌 XF-1的分泌蛋白
Prediction Algorithm on Secretory Proteins of Bacillus subtilis XF-1
摘要
Abstract
Bacillus subtilis XF-1 inhibits the growth of many plant pathogens,and therefore,is an important agricultural biocontrol agent.The gene sequence of 3 853 proteins was analyzed to identify the segments responsible for the generation of proteins secreted by the bacterium.The prediction algorithm base on the genetic information applied SignalP,ProtComp,TMHMM,Phobius,LipoP and TatP.The distribution of amino acids,length of signal peptide,and cleavage site of the 104 secretory proteins found in XF-1 were determined.The lengths of amino acid sequence and signal peptide of XF-1 differed from those of the pathogens.But,its cleavage site of the signal peptide belonged to the same AXA type as those of the pathogenic fungi,bacteria and oomycete found on plants.The bioinformatics analyses carried out in this study successfully forecasted the secretory proteins from B .subtilis . And,the identical type of cleavage site of signal peptide between SF-1 and other microorganisms suggested that the site was genetically conservative.关键词
枯草芽孢杆菌/分泌蛋白/信号肽/预测程序Key words
Bacillus subtilis/secretory protein/signal peptide/prediction algorithm分类
农业科技引用本文复制引用
韩长志..全基因组预测枯草芽孢杆菌 XF-1的分泌蛋白[J].福建农业学报,2016,31(4):384-388,5.基金项目
国家自然科学基金项目(31560211) （31560211）
云南省森林灾害预警与控制重点实验室开放基金项目(ZK150004) （ZK150004）
云南省优势特色重点学科生物学一级学科建设项目(50097505) （50097505）
云南省高校林下生物资源保护及利用科技创新团队建设项目(2014015) （2014015）
