Biochemical and in silico analysis for evaluation of resistance in Brassica genotypes during Alternaria Blight infection
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Date
2020-12
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G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand)
Abstract
Present investigation was carried out to evaluate the differential biochemical defence mechanisms in three genotypes of oilseed Brassicas viz. Varuna, NPJ-112 of B. juncea and Sinapis alba followed by in silico analysis for interactions between fungal proteins and major secondary metabolites of Brassicaceae family. Significant results of Biochemical analysis at 72 hours after inoculation showed maximum protein content in S. alba (66.769) and minimum in Varuna (58.145). Maximum polyphenol accumulation with respect to controls was observed in Varuna (3.322) and minimum in NPJ-112 (3.387). Maximum flavanoid content with respect to controls was observed in NPJ-112 (0.365) and minimum in Varuna (0.299). Enzymatic analysis of infected plants with respect to controls showed highest Ascorbate peroxidase (1.942), Peroxidase (11.982) and lowest Catalase activity (0.008) in S. alba. Whereas minimum APX and POD activity and maximum catalase activity was found in Varuna. Highest Superoxide dismutase activity was observed in NPJ-112 (0.019) and lowest in Varuna (0.009). Maximum docking energy (-10.3499 kcal/mol) and 10 H-Bonds resulted from docking between fungal NRPS siderophore forming domain and sinalbin followed by MD simulation of docking results showing decrease in RMSD value of protein backbone after 1.6 ns in the 2 ns simulation. Taking in to account the biochemical results, the genotypes showing satisfactory biochemical basis of resistance can be used in further breeding programmes. Structural analogs based on in silico analysis results can be used as safer fungicides.