生物技术通报2016，Vol.32Issue(8)：129-138,10.DOI:10.13560/j.cnki.biotech.bull.1985.2016.08.020
基因组水平预测稻瘟菌分泌蛋白组及富集分析
Prediction for Secretome from Magnaporthe oryzae at Genome Scale and Its Enrichment Analysis
摘要
Abstract
Secreted proteins play an important role during pathogenic process of Magnaporthe oryzae. However,many of those secreted proteins are actually effect proteins that interfere the resistance of host plants and inhibit the immune responses of host plants. Therefore,the prediction of secreted proteins by M. oryzae and its functional analysis are necessary and hot topics in the interaction of plant and microbe molecules. The software SignalP,TMHMM,and SecretomeP were applied to complete the prediction of the secretome by M. oryzae. The analyses of classical secreted proteins(CSPs)containing signal peptide by GO function enrichment,KEGG pathway,and statistics of domains were performed,further the CSPs involved in the degradation of plant derived compounds were predicted. Total 789 CSPs were found in M. oryzae genome and the amino acid lengths of CSPs were mainly concentrated between 100 to 500 aa exclusively. GO function analysis of CSPs indicated that they were enriched in the secreting pathways and in the interactions with host. Interestingly,the results of KEGG metabolism and domain analysis of CSPs suggested that some of them contributed to sugar metabolism. Around 156 CSPs were recruited in the degradation of cell walls of plants. Besides,many non-classical leaderless secreted proteins were discovered in the M. oryzae secretome. In summary,by designing the informatics procedure,we predicted the secretome of M. oryzae,CSPs were able to degrade plant derived compounds such as cell walls, and some were involved in sugar metabolism. In addition,M. oryzae. harbored many non-classical leaderless secreted proteins.关键词
稻瘟菌/分泌蛋白组/分泌蛋白/糖代谢Key words
Magnaporthe oryzae/secretome/secreted protein/sugar metabolism引用本文复制引用
曹继东,刘俊,李遂焰..基因组水平预测稻瘟菌分泌蛋白组及富集分析[J].生物技术通报,2016,32(8):129-138,10.基金项目
国家自然科学基金面上项目（Y6113C2JJ1），中国科学院战略性先导科技专项 B 类 （）
