Abstract: 【Objective】The objective of the study is to take full advantage of mass grapevine (Vitis vinifera L.) expression sequence tags (ESTs) from NCBI database, establish localization digital platform for grapevine genes, and achieve the purpose of rapid large-scale gene expression analysis.【Method】A total of 362 193 grapevine ESTs were downloaded from GenBank, processed further by bioinformatics methods, and used to build the digital Northern platform. The verification of the accuracy of the electronic analysis was done by quantitative RT-PCR technique.【Result】The digital northern platform for eleven tissues and those under five stress conditions were effectively established. The comparison of the results from qRT-PCR of four grape genes (VvAG, VvCHS, VvF3H, VvLDOX) and the corresponding electronic expression analysis data indicated that the predictive efficiency of this platform was high. The efficiency of expression prediction in the organs and tissues (berry, inflorescense, and flower) with more ESTs from them available was good, and the prediction in the tissues which has less ESTs deposited needs more experimental analysis. The predictive result will be closer to the true gene expression situation with more ESTs from various tissues are sequenced and deposited in the NCBI database.【Conclusion】The grape gene digital Northern platform has relatively high efficiency of predicting result, and can provide a useful analysis tool for rapid large-scale analysis of the grapevine gene expression and mining of the related important data.

Key words: Grape, in silico Expression Analysis, Expression Sequence Tag (EST), Bioinformatics