Computational Prediction of UV-responsible MicroRNA Genes in Vitis vinifera Genome

In this paper, we predicted UV-responding microRNAs in wine grape genome by homolog search based computational approach. We successfully predicted 13 grape microRMAs from total 16 query Ath-microRNAs. The MiPred software prediction results, the stem-loop structure feature analysis and pol IIpromoter prediction results showed that these 13 putative microRNAs are maybe true plant microRNAs. Several unknown UV-responding transcript factor binding motifs were identified in these 13 promoter regions. We predicated some types of transcription factor are potential targets of those MicroRNAs, including CCAAT-binding transcription factor, GRAS family transcription factor and myb-related transcription factor, 3 members of w-mirRNA159b putative targets have reverse transcriptase and integratase activity.