Novel approaches on identification of conserved miRNAs for broad-spectrum Potyvirus control measures

Potyviridae comprises more than 200 ssRNA viruses, many of which have a broad host range and geographical distributions. Potyvirids (members of Potyviridae) infect several economically important plants such as saffron, cardamom, cucumber, pepper, potato, tomato, yam, etc. Cumulatively, potyvirids cause a substantial economic loss. The major bottleneck in developing an efficient antiviral strategy is that viruses quickly evade host immunity owing to their higher mutation and recombination rates. Due to this reason, the emergence of newer and improved broad-spectrum approaches to combat viral infections is essential. The use of microRNA's (miRNA) to circumvent viral infection against animal viruses has been successfully employed. Fewer studies reported the development of efficient miRNA-based antivirus resistant strategies against plant viruses and none focused on multiple virus resistance. We focused on potyviruses since studies are limited and identification of conserved miRNAs among various host plants would be an initiative to design broad-spectrum antivirus strategies. In this study, we predicted evolutionarily conserved miRNAs by BLAST searching of reported miRNAs from 15 plants against the GSS and EST sequences of banana. A total of nine miRNAs were predicted and screened in nine diverse potyvirids' hosts (Banana, Tomato, Green gram, Jasmine, Chilli, Coriander, Onion, Rose and Colocasia) belonging to eight different orders (Zingiberales, Solanales, Fabales, Lamiales, Apiales, Asperagales, Rosales and Alismatales). Results suggested that miR168 and miR162 are conserved among all the selected plants. This comprehensive study laid the foundations to design broad-spectrum antivirus resistance using miRNAs. To conclude miR168 and miR162 are conserved among many plants and play a crucial role in evading virus infection which could be used as a potential candidate for developing antiviral strategies against potyvirid infections.