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báo cáo khoa học: " Prediction of transcriptional regulatory elements for plant hormone responses based on microarray data"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Prediction of transcriptional regulatory elements for plant hormone responses based on microarray data | Yamamoto et al. BMC Plant Biology 2011 11 39 http www.biomedcentral.com 1471-2229 11 39 BMC Plant Biology RESEARCH ARTICLE Open Access Prediction of transcriptional regulatory elements for plant hormone responses based on microarray data 1 1 1 2 Yoshiharu Y Yamamoto Yohei Yoshioka Mitsuro Hyakumachi Kyonoshin Maruyama Kazuko Yamaguchi-Shinozaki2 Mutsutomo Tokizawa1 Hiroyuki Koyama1 Abstract Background Phytohormones organize plant development and environmental adaptation through cell-to-cell signal transduction and their action involves transcriptional activation. Recent international efforts to establish and maintain public databases of Arabidopsis microarray data have enabled the utilization of this data in the analysis of various phytohormone responses providing genome-wide identification of promoters targeted by phytohormones. Results We utilized such microarray data for prediction of cis-regulatory elements with an octamer-based approach. Our test prediction of a drought-responsive RD29A promoter with the aid of microarray data for response to drought ABA and overexpression of DREB1A a key regulator of cold and drought response provided reasonable results that fit with the experimentally identified regulatory elements. With this succession we expanded the prediction to various phytohormone responses including those for abscisic acid auxin cytokinin ethylene brassinosteroid jasmonic acid and salicylic acid as well as for hydrogen peroxide drought and DREB1A overexpression. Totally 622 promoters that are activated by phytohormones were subjected to the prediction. In addition we have assigned putative functions to 53 octamers of the Regulatory Element Group REG that have been extracted as position-dependent cis-regulatory elements with the aid of their feature of preferential appearance in the promoter region. Conclusions Our prediction of Arabidopsis cis-regulatory elements for phytohormone responses provides guidance for experimental analysis of promoters to .