title: Prediction of protein-protein interactions between Ralstonia solanacearum and Arabidopsis                      thaliana.
abstract: Ralstonia solanacearum is a devastating bacterial pathogen that has an unusually wide host range. R. solanacearum, together with Arabidopsis thaliana, 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 R. solanacearum and 1,442 A. thaliana proteins. Interestingly, we found that the potential pathogen-targeted proteins are more important in the A. thaliana 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.
authors.affiliation: State Key Laboratory of Agrobiotechnology, China Agricultural University, Beijing, 100193, China.
authors.forename: Zhi-Gang
authors.initials: ZG
authors.lastname: Li
authors.forename: Fei
authors.initials: F
authors.lastname: He
authors.forename: Ziding
authors.initials: Z
authors.lastname: Zhang
authors.forename: You-Liang
authors.initials: YL
authors.lastname: Peng
mesh_terms: D017360:Arabidopsis / Q000378:metabolism* / Q000382:microbiology; D019295:Computational Biology / Q000379:methods*; D016208:Databases, Factual; D054884:Host-Pathogen Interactions; D020407:Internet; D010935:Plant Diseases / Q000382:microbiology; D025941:Protein Interaction Mapping; D043368:Ralstonia solanacearum / Q000378:metabolism* / Q000472:pathogenicity