An approach to identify the novel miRNA encoded from H. Annuus EST sequences

•MicroRNAs are new class of small RNAs with 22-24 nucleotide. They play significant roles in regulating the cell functions•Here Insilco approach has been used for computational prediction of potential miRNAs and their targets from H. annuus ESTs•This analysis will add a resource to small RNA repository and decipher the undiscovered information from ESTs•3 miRNAs were identified from which one is potential miRNA for H. Annus species,not yet submitted in miRBase version 21•GO annotation of the targets is helping in getting the better insights of the targets predicted•Circos plot representation of the targets and their respective miRNAs gives pictorial representation of the targets

MicroRNAs are a newly discovered class of non-protein small RNAs with 22–24 nucleotides. They play multiple roles in biological processes including development, cell proliferation, apoptosis, stress responses and many other cell functions. In this research, several approaches were combined to make a computational prediction of potential miRNAs and their targets in Helianthus annuus (H. annuus). The already available information of the plant miRNAs present in miRBase v21 was used against expressed sequence tags (ESTs). A total of three miRNAs were detected from which one potential novel miRNA was identified following a range of strict filtering criteria. The target prediction was carried out for these three miRNAs having various targets. These targets were functionally annotated and GO terms were assigned. To study the conserved nature of the miRNAs, predicted phylogenetic analysis was carried out. These findings will significantly provide the broader picture for understanding the functions in H. annuus.