Genome-Wide Identification of Genes Responsive to ABA and Cold/Salt Stresses in Gossypium hirsutum by Data-Mining and Expression Pattern Analysis

作     者：ZHU Long-fu HE Xin YUAN Dao-jun XU Lian XU Li TU Li-li SHEN Guo-xin ZHANG Hong ZHANG Xian-long 

作者机构：National Key Laboratory of Crop Genetic Improvement Huazhong Agricultural University Wuhan 430070 P.R.China Department of Biological Science Texas Tech University Lubbock 79409 USA 

出 版 物：《Agricultural Sciences in China》 (中国农业科学（英文版）)

年 卷 期：2011年第10卷第4期

页      面：499-508页

核心收录：

学科分类：0710[理学-生物学] 07[理学] 08[工学] 09[农学] 071007[理学-遗传学] 0901[农学-作物学] 0902[农学-园艺学] 0836[工学-生物工程] 090102[农学-作物遗传育种] 

基　　金：Supports from Special Fund for Agro-Scientific Research in the Public Interest in China (3-19) the National Transgenic Plants Project of China(2008ZX08005-004) are kindly appreciated 

主　　题：cold stress salt stress data-mining gene Gossypium hirsutum 

摘      要：For making better use of nucleic acid resources of Gossypium hirsutum, a data-mining method was used to identify putative genes responsive to various abiotic stresses in G. hirsutum. Based on the compiled database including genes involved in abiotic stress response in Arabidopsis thaliana and the comprehensive analysis tool of GENEVESTIGATOR v3, 826 genes up-regulated or down-regulated significantly in roots or leaves during salt or cold treatment in Arabidopsis were identified. As compared to these 826 Arabidopsis genes annotated, 38 homologous expressed sequence tags （ESTs） from G. hirsutum were selected randomly and their expression patterns were studied using a quantitative real-time reverse transcription-polymerase chain reaction method. Among these 38 ESTs, about 55% of the genes （21 of 38） were different in response to ABA between cotton and Arabidopsis, whereas 70% of genes had similar responses to cold and salt treatments, and some of them which had not been characterized in Arabidopsis are now being investigated in gene function studies. According to these results, this approach of analyzing ESTs appears effective in large-scale identification of cotton genes involved in abiotic stress and might be adopted to determine gene functions in various biologic processes in cotton.