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Poster: Molecular & Cellular Plant-Microbe Interactions: Proteomics/Metabolomics/Genomics


PiCS, a predicted protein-protein interactome of the frog eye leaf spot pathogen Cercospora sojina
A. SUBEDI (1), B. Musungu (1), M. Geisler (2), B. Bluhm (3), A. Fakhoury (1) (1) Southern Illinois University Carbondale, U.S.A.; (2) Southern Illinois University Carbondale, U.S.A.; (3) University of Arkansas Fayetteville, U.S.A.

Frog eye leaf spot (FLS) is a foliar disease of soybean caused by the fungus Cercospora sojina Hara. FLS is a severe problem for soybean production, particularly in the mid-southern United States causing millions of dollars in losses every year. A predicted protein-protein interaction (PPI) map provides an overall snapshot of all the protein interactions occurring in an organism. Therefore, the development of PiCS, a predicted protein-protein interactome of C. sojina, can decipher many of the primary metabolic processes, biological processes and developmental processes in the fungus. This will help further our understanding of the mechanisms governing pathogenesis in the C. sojina ­– soybean pathosystem. PPI maps have been generated for some model organisms such as human, fruit fly, and arabidopsis using high throughput experimental methods. In this study, we used PPI data from 11 model organisms to predict the PPI map in C. sojina via the interlog method using the INPARANOID and ENSEMBL algorithms. PiCS is comprised of 4,092 proteins (nodes) and 144,488 interactions (edges). It covers 33% of the total C. sojina proteome. Subnetworks were also built for secreted proteins in C. sojina as well as for putative pathogenicity related genes. This is a first attempt to build a PPI map for a member of the Cercospora genus. It is a new tool that could be used to understand the interaction between soybean and C. sojina.