Predicting genome-scale Arabidopsis-Pseudomonas syringae interactome using domain and interolog-based approaches.

ABSTRACT:

Background

Every year pathogenic organisms cause billions of dollars' worth damage to crops and livestock. In agriculture, study of plant-microbe interactions is demanding a special attention to develop management strategies for the destructive pathogen induced diseases that cause huge crop losses every year worldwide. Pseudomonas syringae is a major bacterial leaf pathogen that causes diseases in a wide range of plant species. Among its various strains, pathovar tomato strain DC3000 (PstDC3000) is asserted to infect the plant host Arabidopsis thaliana and thus, has been accepted as a model system for experimental characterization of the molecular dynamics of plant-pathogen interactions. Protein-protein interactions (PPIs) play a critical role in initiating pathogenesis and maintai

SUBMITTER: Sahu SS 

PROVIDER: S-EPMC4251041 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature