title: [Genome-wide analysis of the secreted proteins of phytophthora infestans].
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 pro- teins, 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.
authors: Biotechnology and Genetic Germplasm Institute, Yunnan Academy of Agricultural Sciences, Kunming 650223, China. zxg88@163.com
authors: Xiao-Gang
authors: XG
authors: Zhou
authors: Si-Ming
authors: SM
authors: Hou
authors: Duo-Wen
authors: DW
authors: Chen
authors: Nan
authors: N
authors: Tao
authors: Yu-Mei
authors: YM
authors: Ding
authors: Mao-Lin
authors: ML
authors: Sun
authors: Shao-Song
authors: SS
authors: Zhang
mesh_terms: D000465:Algorithms; D030541:Databases, Genetic; D016678:Genome; D008969:Molecular Sequence Data; D055750:Phytophthora infestans / Q000235:genetics* / Q000378:metabolism; D021381:Protein Transport; D011506:Proteins / Q000235:genetics* / Q000378:metabolism*
chemical_list: D011506:Proteins