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.
ZHOU Xiao-Gang, HOU Sai-Ming, CHEN Duo-Wen, DAO Na, DING Yu-Mei, SUN Mao-Lin, ZHANG Chao-Song
. Genome-wide analysis of the secreted proteins of phytophthora infestans[J]. Hereditas(Beijing), 2011
, 33(7)
: 785
-793
.
DOI: 10.3724/SP.J.1005.2011.00785
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