MicroRNAs(miRNAs)are a class of newly identified,small,non-coding RNAs that play vital roles in regulation.Based on miRNAs unique features of expression pattern,evolutionary conservation,secondary structure and genetic requirements for biogenesis,computational predication strategy is adopted to predicate the novel miRNAs.In this research,potential miRNAs and their targets in grapevine(Vitis vinifera)were predicted.We used previously known plant miRNAs against grapevine genome sequence databases to search for potential miRNAs.A total of 81 potential miRNAs were detected following a range of strict filtering criteria.Using these potential miRNA sequences,we could further blast the mRNA database to find the potential targets in this species.Comparative analysis of miRNAs in grapevine and other species reveals that miRNAs exhibit an evolutional conservation,the number and function of miRNAs must have significantly expanded during the evolution of land plants.Furthermore divergence made versatile functions of miRNAs feasible. Cluster of miRNAs likely represents an ancient expression mechanism.Predicted target genes include not only transcription factors but also genes implicated in floral development,signal transduction,diseases and stress response.Till now,little is known about experimental or computational identification of miRNA in grapevine species.Increased knowledge of the biological mechanisms of the grapevine will allow targeted approaches to increase the quality of fruit and reduce the impact of parasites together with stress,which could enable a sustainable,environmentally-sound,farming policy. MicroRNAs (miRNAs) are a class of newly identified, small, non-coding RNAs that play vital roles in regulation., Based on miRNAs unique features of expression pattern, evolutionary conservation, secondary structure and genetic requirements for biogenesis, computational predication strategy is adopted to predicate the novel miRNAs.In this research, potential miRNAs and their targets in grapevine (Vitis vinifera) were predicted. We used previously known plant miRNAs against grapevine genome sequence databases to search for potential miRNAs. A total of 81 potential miRNAs were detected following a range of strict filtering criteria. Using these potential miRNA sequences, we could further blast the mRNA database to find the potential targets in this species. Comparative analysis of miRNAs in grapevine and other species reveals that miRNAs exhibit an evolutional conservation, the number and function of miRNAs must have significantly expanded during the evolution of land plants. Morerthermore divergence made ver satile functions of miRNAs feasible. Cluster of miRNAs likely represents an ancient expression mechanism. Predicted target genes include not only transcription factors but also genes implicated in floral development, signal transduction, diseases and stress response. Now now, little is known about experimental or computational identification of miRNA in grapevine species. Increased knowledge of the biological mechanisms of the grapevine will allow targeted approaches to increase the quality of fruit and reduce the impact of parasites together with stress, which could enable a sustainable, environmentally-sound, farming policy.