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2008 International Conference on BioMedical Engineering and Informatics
Computational Prediction of UV-responsible MicroRNA Genes in Vitis vinifera Genome
May 27-May 30
ISBN: 978-0-7695-3118-2
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 queryAth-microRNAs. The MiPred software prediction results, the stem-loop structure feature analysis and pol II promoter 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 vv-mirRNA159b putative targets have reverse transcriptase and integratase activity.
Index Terms:
computational prediction, UV, microRNA, vitis vinifera
Citation:
Zhen-lin Wei, Chun-zhen Jiao, Zhi-huan Tian, Ling Dong, "Computational Prediction of UV-responsible MicroRNA Genes in Vitis vinifera Genome," bmei, vol. 1, pp.102-106, 2008 International Conference on BioMedical Engineering and Informatics, 2008
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