Journal
AMINO ACIDS
Volume 42, Issue 6, Pages 2363-2371Publisher
SPRINGER WIEN
DOI: 10.1007/s00726-011-0978-z
Keywords
Bioinformatics; Pathogenicity; Plant-pathogen interactions; Prediction; Protein-protein interaction
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Funding
- National Natural Science Foundation [30830058, 31070259, J0730639]
- State Key Laboratory of Agrobiotechnology [2010SKLAB05-11]
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is a devastating bacterial pathogen that has an unusually wide host range. , together with , has become a model system for studying the molecular basis of plant-pathogen interactions. Protein-protein interactions (PPIs) play a critical role in the infection process, and some PPIs can initiate a plant defense response. However, experimental investigations have rarely addressed such PPIs. Using two computational methods, the interolog and the domain-based methods, we predicted 3,074 potential PPIs between 119 and 1,442 proteins. Interestingly, we found that the potential pathogen-targeted proteins are more important in the PPI network. To facilitate further studies, all predicted PPI data were compiled into a database server called PPIRA (http://protein.cau.edu.cn/ppira/). We hope that our work will provide new insights for future research addressing the pathogenesis of R. solanacearum.
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