遗传 ›› 2011, Vol. 33 ›› Issue (7): 785-793.doi: 10.3724/SP.J.1005.2011.00785

• 研究报告 • 上一篇    下一篇

马铃薯晚疫病菌全基因组分泌蛋白的初步分析

周晓罡1,2, 侯思名3, 陈铎文1,2,4, 陶南1,2, 丁玉梅1,2, 孙茂林1,2 , 张绍松1,2   

  1. 1. 云南省农业科学院生物技术与种质资源研究所, 昆明650223 2. 云南省农业生物技术重点实验室, 昆明650223 3. 昆明学院生命科学与技术系, 昆明650031 4. 云南大学生命科学学院, 昆明 650091
  • 收稿日期:2010-10-12 修回日期:2011-04-02 出版日期:2011-07-20 发布日期:2011-07-25
  • 通讯作者: 孙茂林 E-mail:sun_maolin@tom.com
  • 基金资助:

    云南省十一五科技攻关项目(编号:2006NG08), 国家自然科学基金项目(编号:31060021)和云南省自然科学基金项目(编号:2006C 0062M, 2008ZC100M)资助

Genome-wide analysis of the secreted proteins of phytophthora infestans

ZHOU Xiao-Gang1,2, HOU Si-Ming3, CHEN Duo-Wen1,2,4, TAO Nan1,2, DING Yu-Mei1,2, SUN Mao-Lin1,2, ZHANG Shao-Song 1,2   

  1. 1. Biotechnology and Genetic Germplasm Institute, Yunnan Academy of Agricultural Sciences, Kunming 650223, China 2. Key Laboratory of Agricultural Biotechnology of Yunnan Province, Kunming 650223, China 3. College of Life Science and Technology, Kunming University, Kunming 650031, China 4. School of Life Sciences, Yunnan University, Kunming 650091, China
  • Received:2010-10-12 Revised:2011-04-02 Online:2011-07-20 Published:2011-07-25

摘要: 利用马铃薯晚疫病菌全基因组测序结果, 结合计算机技术和生物信息学的方法, 对马铃薯晚疫病菌的蛋白进行分析, 为明确该病原菌与寄主互作的分子机制奠定基础。文章应用信号肽预测软件SignalP v3.0和PSORT, 跨膜螺旋结构预测软件TMHMM-2.0和THUMBUP, GPI锚定位点预测软件big-PI Predictor, 亚细胞器中蛋白定位分布预测软件TargetP v1.01, 对已经公布的马铃薯晚疫病菌全基因组22 658个蛋白质氨基酸序列进行分析。结果发现, 晚疫病菌全基因组编码蛋白中有671个为潜在的分泌型蛋白, 占编码蛋白总数的3.0%。其中有45个分泌蛋白有功能方面的描述, 其功能涉及细胞代谢、信号转导等方面; 此外, 还有一些与激发子类似的分泌蛋白, 它们可能与晚疫病菌的毒性有关。

关键词: 晚疫病菌, 信号肽, 分泌蛋白

Abstract: Based on the Phytophthora infestans genome sequence, we used bioinformatics and computer-based prediction algorithms to predict the secreted proteins of P. infestans in detail, which would help us to elucidate the molecular mechanism underlying the interaction between the host plants and the P. infestans. In this study, the signal peptide prediction algorithms SignalP v3.0 and PSORT, transmembrane helix prediction algorithms TMHMM-2.0 and THUMBUP, GPI-anchoring site prediction algorithm big-PI Predictor, and subcellular protein location distribution algorithm TargetP v1.01 were used to analyze the 22658 protein sequences of P. infestans published. Our results suggested that there might be 671 secreted proteins, accounting for 3.0% of the total proteins. Among them, the functions of the 45 secreted proteins had been described previously. Their functions involved cellular metabolism and signal transduction etc. In addition, some of the secreted proteins were functionally similar to elicitin, which were likely to be associated with the virulence of P. infestans.

Key words: Phytophthora infestans, signal peptides, secreted proteins