Computational prediction of potent antiviral microRNAs in Stevia rebaudiana
摘要
Stevia rebaudiana Bertoni, a perennial herbaceous plant is renowned for its steviol glycoside compounds, which have gained global recognition as low-calorie sugar substitutes. Recently, Tomato spotted wilt virus ( TSWV) and Cucumber mosaic virus (CMV) infections were reported in Stevia, and progressed to leaf blotch, severe dieback, and plant necrosis. The broad host range of plant viruses limits the effectiveness of traditional control methods, driving the need for genetic approaches to develop virus-resistant cultivars. RNA silencing serves as a conserved defense mechanism in plants by targeting invasive nucleic acids. In this study, the miRanda tool and psRNATarget software were used for complementarity search between the miRNA repertoire of S. rebaudiana and genomic sequences of TSWV and CMV. Out of 124 miRNAs 78 (62%) and 25 (20%) were found to target viral pathogens using miRanda and psRNATarget, respectively. However, certain miRNAs of Stevia were potentially targeting the capsid genes of plant infecting viruses. These miRNAs can further be modulated to enhance virus-resistance in Stevia varieties, ensuring sustainable crop productivity.