In silico characterization of five novel disease-resistance proteins in Oryza sativa sp. japonica against bacterial leaf blight and rice blast diseases

Abstract

Oryza sativa sp. japonica is the most widely cultivated variety of rice. It has evolved several defense mechanisms, including PAMP-triggered immunity (PTI) and effector-triggered immunity (ETI), which provide resistance against different pathogens to overcome biotic stresses. Several disease-resistance genes and proteins, such as R genes and PRR proteins, have been reported in the scientific literature which shows resistance against Xanthomonas oryzae pv. oryzae (Xoo), a causative agent for bacterial leaf blight disease (BB), and Magnaporthe oryzae (M. oryzae), causing rice blast disease (RB). Although some of these resistance proteins have been studied, the functional characterization of resistance proteins in rice is not exhaustive. In the current study, we identified five novel resistance proteins against BB and RB diseases through gene network analysis. Structure and function prediction, disease-resistance domain identification, protein-protein interaction (PPI), and pathway analysis revealed that the five new proteins played a role in the disease resistance against BB and RB. In silico modeling, refinement, and model quality assessment were performed to predict the best structures of these five proteins, and submitted to ModelArchive for future use. The functional annotation of the proteins revealed their involvement in the bacterial disease resistance of rice. We predicted that the new resistance proteins could be localized to the nucleus and plasma membrane. This study provides insight into developing disease-resistant rice varieties by predicting novel candidate resistance proteins, which will pave the way for their future characterization and assist rice breeders in improving crop yield and addressing future food security.