02045nas a2200229   4500008004100000022001400041245006700055210006600122260000800188300001400196490000700210520132400217653002501541653001701566653002601583653002301609653001401632100002201646700002401668700002401692856009901716       2020                        eng d  a0006-308800aInsights of Bipolaris sorokinianasecretome-anin silicoapproach0 aInsights of Bipolaris sorokinianasecretomeanin silicoapproach  cDEC  a2367-23810 v753 a<p>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 performedin silicosecretome analysis ofC. sativusstrain 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 theB. sorokinianaproteome. 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 ofB. sorokinianaand extrapolate its role in plant infection and pathogen survival. It may provide clues for developing new control strategies targeting the vital fungal secretory proteins.</p>
10aCochliobolus sativus10apathogenesis10aPhytopathogenic fungi10aSecretory proteins10aVirulence1 aPathak, Gauri, M.1 aGurjar, Gayatri, S.1 aKadoo, Narendra, Y.  uhttps://library.ncl.res.in/content/insights-bipolaris-sorokinianasecretome-anin-silicoapproach