Location: Crop Genetics Research
Title: Genome-wide analysis of predicted protein interactome identifies pathogenic protein networks in Phomopsis longicolla underlying seed decay of soybeanAuthor
Li, Shuxian | |
Musungu, Bryan |
Submitted to: Meeting Abstract
Publication Type: Abstract Only Publication Acceptance Date: 11/30/2018 Publication Date: N/A Citation: N/A Interpretive Summary: Technical Abstract: Phomopsis longicolla T. W. Hobbs (syn. Diaporthe longicolla) is the primary cause of Phomopsis seed decay (PSD) in soybean, Glycine max (L.) Merrill. PSD results in poor seed quality and is one of the most economically important seed diseases in soybean. The aims of this study were to analyze protein-protein interactions (PPI) and to identify conserved global networks and pathogenicity subnetworks in P. longicolla including orthologous pathways for cell signaling and pathogenesis. The interlog method used in the study identified 215,255 unique PPIs among 3,868 proteins. A total of 1,414 pathogenicity related genes in P. longicolla were identified using the pathogen host interaction (PHI) database. In addition, 149 plant cell wall degrading enzymes (PCWDE) were detected. The most predominant class of PCWDE was a group of 60 glycoside hydrolases proteins. The glycoside hydrolase subnetwork was found to be interacting with 1,442 proteins within the network and was among the largest clusters of the subnetwork. The orthologous proteins FUS3, HOG, CYP1, SGE1, and the g5566t.1 gene identified in this study could play an important role in pathogenicity. Therefore, the P. longicolla protein interactome (PiPhom) generated in this study can lead to a better understanding of PPIs in soybean pathogens. Furthermore, results of the PPI studies of this pathogen may aid in targeting of genes and proteins for further studies of the pathogenicity mechanisms. |