Abstract
Peach (Prunus persica) is a deciduous, edible, stone fruit producing plant, belonging to the family Rosaceae. The plant is prone to various pathogens and one of them is the plum pox virus (PPV). This is a lethal virus of peach plant causing pox disease of plum. Its attack results in 83%-100% yield loss in highly susceptible varieties of peach plant. The complete genome of PPV is 9791 base pairs with positive-sense single strand. The full-length genome of PPV encodes a large poly-protein initially, which cleaves proteolytically into ten mature proteins - coat protein, helper component pro-teinase, P1, P3, viral genome-linked protein, 6K1, 6K2, cylindrical inclusion protein, cylindrical inclusion pro-tein b and NIa-pro-proteins. The objective of this study is to identify such sites in the PPV genome which can be targeted by PPV-derived miRNAs through target prediction computational tools/algorithms. A total of 214 mature miRNAs were chosen from the miRNA data-base to check their complementarity with the PPV genome. Minimum free energy, folding energy, seed pairing, target-site accessibility, pattern recognition and multiple target sites were the parameters considered for target prediction algorithms. Two out of 214 miRNAs were predicted as potential against plum pox virus by three of four tools used for target prediction. Thus, the results encourage generating transgenic, PPV-resi-stant peach plants by expression of predicted miRNAs.