Insights of Bipolaris sorokiniana secretome - an in silico approach
Autor: | Narendra Y. Kadoo, Gayatri S. Gurjar, Gauri M. Pathak |
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Rok vydání: | 2020 |
Předmět: |
0106 biological sciences
0301 basic medicine biology In silico food and beverages Virulence Cell Biology Plant Science Computational biology Cochliobolus sativus Bipolaris biology.organism_classification 01 natural sciences Biochemistry 03 medical and health sciences 030104 developmental biology Secretory protein Proteome Genetics Animal Science and Zoology Molecular Biology Pathogen Ecology Evolution Behavior and Systematics PSORT 010606 plant biology & botany |
Zdroj: | Biologia. 75:2367-2381 |
ISSN: | 1336-9563 0006-3088 |
Popis: | The plant pathogen, Bipolaris sorokiniana (teleomorph: Cochliobolus sativus), is of global concern as it attacks many economically important cereals and grasses. During the infection process, phytopathogenic fungi are known to secrete a variety of proteins collectively known as the secretome, analyzing which can help in deciphering the mechanism of fungal pathogenesis. In this study, we performed in silico secretome analysis of C. sativus strain ND90Pr using established secretome prediction pipeline involving software tools such as SignalP, TargetP, TMHMM, big-PI Fungal Predictor, ProtComp, and WoLF PSORT. Using these software and other prediction criteria, we identified 196 probable secretory proteins from the B. sorokiniana proteome. Characterization of the predicted secretome revealed proteins that may have probable functions in degradation of the plant cell wall, lipids, proteins, and nucleic acids, as well as in pathogenesis and metabolism. Further, the PHI-base analysis identified 38 proteins having a possible role in pathogenicity and virulence. This study helped to predict the composition of the secretome of B. sorokiniana and extrapolate its role in plant infection and pathogen survival. It may provide clues for developing new control strategies targeting the vital fungal secretory proteins. |
Databáze: | OpenAIRE |
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