生物技术通报 ›› 2016, Vol. 32 ›› Issue (8): 129-138.doi: 10.13560/j.cnki.biotech.bull.1985.2016.08.020

• 研究报告 • 上一篇    下一篇

基因组水平预测稻瘟菌分泌蛋白组及富集分析

曹继东1, 2, 刘俊2, 李遂焰1   

  1. 1. 西南交通大学生命科学与工程学院,成都 610031;
    2. 中国科学院微生物研究所 植物基因组学国家重点实验室,北京 100101
  • 修回日期:2015-12-01 出版日期:2016-08-25 发布日期:2016-08-25
  • 作者简介:曹继东,男,硕士,研究方向:生物化学与分子生物学;E-mail:cjdmcjd@163.com
  • 基金资助:
    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(Y42D021CX1)

Prediction for Secretome from Magnaporthe oryzae at Genome Scale and Its Enrichment Analysis

CAO Ji-dong1, 2, LIU Jun2, LI Sui-yan1   

  1. 1. School of Life Sciences and Engineering,Southwest Jiaotong University,Chengdu 610031;
    2. State Key Laboratory of Plant Genomics,Institute of Microbiology,Chinese Academy of Sciences,Beijing 100101
  • Revised:2015-12-01 Published:2016-08-25 Online:2016-08-25

摘要: 稻瘟菌分泌蛋白在稻瘟菌入侵植物过程中发挥着重要的作用。这些分泌蛋白中有很多是效应蛋白,这些效应蛋白可以干扰寄主的抗性、抑制寄主免疫反应。因此,对稻瘟菌分泌蛋白组的预测及功能分析就显得十分必要,也是目前植物和微生物分子互作研究领域的热点。使用SignalP、TMHMM及SecretomeP等软件,完成稻瘟菌分泌蛋白组的预测。同时,对含信号肽的经典分泌蛋白进行了GO功能富集、KEGG通路分析、结构域统计以及可降解植物成分的经典分泌蛋白预测等分析。结果显示,稻瘟菌含有约789个分泌蛋白,其长度多集中在100-500 aa;GO功能分析发现,这些分泌蛋白多富集在分泌途径及宿主互作中;KEGG分析显示,分泌蛋白在糖代谢途径中发挥着重要作用;大规模筛选预测到156个分泌蛋白具有降解植物细胞壁等成分的功能;同时还发现稻瘟菌中有可能存在大量不含信号肽的非经典分泌蛋白。通过设计的生物信息学流程,实现了稻瘟菌分泌蛋白组的预测;预测出经典分泌蛋白具有可降解植物细胞壁等成分以及参与糖代谢途径的功能;稻瘟菌中存在大量的无信号肽的非经典分泌蛋白。

关键词: 稻瘟菌, 分泌蛋白组, 分泌蛋白, 糖代谢

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.

Key words: Magnaporthe oryzae, secretome, secreted protein, sugar metabolism