A computational approach to execute siRNA generating hotspots targeting dual DNA and RNA viral infections in potato
Amir Hameed1*, Shabih Fatma2,Muhammad Noman1, Temoor Ahmed1, Javed Iqbal Wattoo3
1Department of Bioinformatics and Biotechnology, Government College University, Faisalabad, Pakistan
2National Institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan
3Faculty of Life Sciences, University of Central Punjab, Lahore, Pakistan
Abstract
Among biotic stresses afflicting potato plants, viruses are the most damaging and are responsible for large economic losses worldwide. Co-infections with multiple viruses are common in potato, with an enhanced disease impact being observed in affected plants. RNA interference (RNAi) provides an applied methodology to selectively reduce the expression of targeted genes through the expression of sequence-specific short interfering RNAs (siRNAs). This silencing mechanism can be implemented to induce resistance against multiple viruses in transgenic plants through the endogenous delivery of siRNA cassettes. The current study was aimed to identify the efficient siRNA execution sites in dominating viral genomes to simultaneously target both DNA and RNA viruses in potato. To achieve this objective, we followed a computational approach to identify the viral silencing targets by comparative pairwise sequence analysis of different isolates of Potato leafroll virus (PLRV; + single-stranded (ss) RNA virus) and Tomato leaf curl New Delhi virus (ToLCNDV; ssDNA virus). The identified consensus sequences [300bp of PLRV-coat protein (CP); 180bp of ToLCNDV-precoat protein (AV2)] were further used as template sequences to predict the likely siRNAs execution sites and to characterize their putative thermodynamic attributes. The identified template sequences were computationally tested for triggering a siRNA-mediated targeting of viral genomes and proved to be highly efficient and site-specific. This methodology could be applied for engineering an RNAi-mediated virus resistance in transgenic plants with commercial applications.
