State Key Laboratory of Agrobiotechnology, China Agricultural University, Beijing, 100193, China.
Amino Acids. 2012 Jun;42(6):2363-71. doi: 10.1007/s00726-011-0978-z. Epub 2011 Jul 24.
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.
青枯雷尔氏菌是一种具有异常广泛宿主范围的毁灭性细菌病原体。青枯雷尔氏菌与拟南芥一起，已成为研究植物-病原体相互作用分子基础的模式系统。蛋白质-蛋白质相互作用（PPIs）在感染过程中起着关键作用，一些 PPIs 可以引发植物防御反应。然而，实验研究很少涉及此类 PPIs。我们使用两种计算方法，即同源物和基于结构域的方法，预测了 119 个青枯雷尔氏菌和 1442 个拟南芥蛋白之间的 3074 个潜在的 PPIs。有趣的是，我们发现潜在的病原体靶向蛋白在拟南芥 PPI 网络中更为重要。为了便于进一步研究，我们将所有预测的 PPI 数据汇编到一个名为 PPIRA（http://protein.cau.edu.cn/ppira/）的数据库服务器中。我们希望我们的工作将为未来研究青枯雷尔氏菌的发病机制提供新的见解。
