浙江农业学报 ›› 2018, Vol. 30 ›› Issue (11): 1899-1906.DOI: 10.3969/j.issn.1004-1524.2018.11.13

• 植物保护 • 上一篇    下一篇

稻瘟病菌分泌蛋白组学研究

崔书建1, 王教瑜2, 姜华2, 梁建生1,*   

  1. 1.扬州大学 生物科学与技术学院,江苏 扬州 225009;
    2.浙江省农业科学院 植物保护与微生物研究所,浙江 杭州 310021
  • 收稿日期:2018-03-22 出版日期:2018-11-25 发布日期:2018-12-21
  • 通讯作者: 梁建生,E-mail: jsliang@yzy.edu.cn
  • 作者简介:崔书建(1980—),男,江苏扬州人,博士研究生,主要从事蛋白质组学研究 。E-mail: cuisj80@aliyun.com

Secretory proteomics of Magnaporthe oryzae

CUI Shujian1, WANG Jiaoyu2, JIANG Hua2, LIANG Jiansheng1,*   

  1. 1. College of Bioscience and Biotechnology, Yangzhou University, Yangzhou 225009, China;
    2. Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
  • Received:2018-03-22 Online:2018-11-25 Published:2018-12-21

摘要: 稻瘟病菌分泌蛋白在稻瘟病菌入侵水稻过程中发挥重要作用。收集稻瘟病菌(Guy11菌株)液体培养的上清液,富集蛋白,经过烷基、还原处理和酶解后,采用液相色谱-串联质谱(LC-MS/MS)对酶解肽段进行分离及鉴定,利用信号肽预测工具SignalP和蛋白质亚细胞定位软件Protcomp对鉴定到的蛋白进行生物信息学预测验证。结果显示,共鉴定出30个稻瘟病菌的分泌蛋白,其中:24个蛋白具有N端信号肽,26个蛋白可分泌到胞外,3个蛋白定位在细胞膜上。对其功能进行分类,发现多数为酶类,参与水解及能量代谢。这些酶类和蛋白的发现与进一步研究,将为揭示稻瘟病菌侵染的机理提供帮助。

关键词: 稻瘟病菌, 分泌蛋白组, 生物信息学

Abstract: Secreted proteins of Magnaporthe oryzae play an important role during infection process on rice. In this study, the proteins enriched from the supernatant of the M. oryzae(Guy11 strain) culture were digested after alkylation and reduction treatment. The digested peptides were separated and identified using liquid chromatograph mass spectrometer (LC-MS/MS). Bioinformatic predictions of intracellular localization and function of these identified proteins were carried out using the SignalP and Protcomp softwares. Thirty secreted proteins of Magnaporthe oryzae were identified, among which, 24 proteins contained the signal peptide at the N-terminal, 26 proteins were capable of secreting out of the cell, and 3 proteins were localized on the cell membrane. Functional prediction indicated that most proteins were enzymes involved in hydrolysis and energy metabolism. Identification and further investigation of these enzymes and proteins would contribute to reveal the molecular pathogenesis of Magnaporthe oryzae infection.

Key words: Magnaporthe oryzae, secretome, bioinformatics

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