Potential targets for evaluation of sugarcane yellow leaf virus resistance in sugarcane cultivars: <i>in silico</i> sugarcane miRNA and target network prediction

The Sugarcane yellow leaf virus (SCYLV) is associated with sugarcane disease (SCYLD) and considered to be the most economically deleterious emerging pathogen that represents a potential threat danger cultivation in China. Over last two decades, high genetic diversity SCYLV genotypes was observed worldwide, greater chance of YLD incidence for injury. infection has significantly damaged its economic traits responsible substantial losses biomass production cultivars. This study aims identify analyse microRNAs (miRNAs) as therapeutic targets against using plant miRNA prediction tools. Mature miRNAs are retrieved used hybridisation SCYLV. A total seven common were selected based on consensus genomic positions. biologically significant, top ranked ssp-miR528 consensually predicted have potentially unique site at nucleotide position 4162 targeting ORF5 genome; this by all algorithms study. Then, miRNA–mRNA regulatory network generated Circos algorithm, which predict novel targets. There no acceptable commercial SCYLV-resistant varieties available present. Therefore, biological data offer valuable evidence generation plants.