西南林业大学学报2016，Vol.36Issue(6)：106-111,6.DOI:10.11929/j.issn.2095-1914.2016.06.017
全基因组预测枯草芽孢杆菌BEST195的分泌蛋白
Prediction for Secreted Proteins from Bacillus subtilis subsp. natto BEST195 Genome
摘要
Abstract
Bacillus subtilis subsp. natto BEST195 is one of the important strains produced natto. To identify the secreted protein from B. subtilis and clearly it′s characteristic. 4456 protein sequences in B. subtilis was analyzed to find the secreted protein using the program including SignalP, ProtComp, TMHMM, Phobius, LipoP and TatP. Meanwhile, the distribution of amino acids, the length of signal peptide as well as the signal peptide cleavage site of secreted protein was analyzed. 102 secrete proteins were found in B. subtilis. And the length of amino acids and the signal peptide were different the plant pathogens. The signal peptide cleavage site belongs to AXA type, which was same as other plant pathogenic fungi, bacteria and oomycete. Through the above bioinformatics analysis, the predicted secreted proteins can effectively achieve in B. subtilis, and the type of signal peptide cleavage site have consistent with other secreted proteins from different species.关键词
枯草芽孢杆菌/分泌蛋白/信号肽/预测Key words
Bacillus subtilis subsp. natto/secreted protein/signal peptide/prediction分类
农业科技引用本文复制引用
任文来,韩长志,刘通,夏秀芹..全基因组预测枯草芽孢杆菌BEST195的分泌蛋白[J].西南林业大学学报,2016,36(6):106-111,6.基金项目
国家自然科学基金项目(31560211)资助 （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)资助 （ZK150004）
云南省优势特色重点学科生物学一级学科建设项目(50097505)资助 （50097505）
云南省高校林下生物资源保护及利用科技创新团队(2014015)资助 （2014015）
云南省教育厅科学研究基金项目(2014Y330)资助. （2014Y330）
