Молекулярная биология: открытый доступ

In-Silico Subcellular Localization and Functional Analysis of Computationally Predicted Virulent Proteins in X. Oryzae pv. Oryzae Strain PXO99A Causal Organism of Bacterial Leaf Blight (BLB) of Rice (O. Sativa L.)

Abstract

Dharmendra Kashyap* and Aafreen Khan

Rice (O. Sativa L.) is an important cereal crop in the world and more than half of the human population depends on it as a staple diet. India ranks second among countries in the world as par rice production and area under cultivation. X. oryzae are a group of plant-specific yellow-pigmented microbes, which are important phytopathogens that infect crops such as rice and wheat and cause leaf blight disease with a yield loss of as much as 70%. Virulent proteins of pathogen and their subcellular localization play an important role in the invasion, colonization and survival of pathogens. In the present study, computational identification of pathogenic proteins and prediction of their sub-cellular has been done with an idea to facilitate the identification and understanding of their role in pathogenesis. The sequence of strain was downloaded from NCBI and various tools like MP3 software, VirulentPred server, etc. were used for the identification of pathogenic proteins. From analysis 116 proteins were predicted that may have a role in pathogenicity. The subcellular localization and Pfam/Interpro analysis using various online servers like BUSCA, Cello v.2.5, etc. for subcellular localization and Pfam server for Pfam/Interpro analysis were carried out for predicted 116 proteins. Of the 116 proteins most of the proteins were predicted as membrane, extracellular and cytoplasmic proteins, of the predicted proteins most have been predicted with multiple localization in the X. oryzae. The Pfam analysis revealed their role in pathogenesis/virulent associated functions too.