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为更有效地利用苹果EST公共数据资源,方便信息交流与共享,本研究构建了苹果EST数据分析平台Malus domestica Micro-Workstation,并整合了专为苹果定制的序列延伸系统。该数据分析平台具有本地信息查询、序列简单注释和短序列延伸等功能。以所建平台为辅助工具,从已公布的324 308条苹果EST序列中预测干旱胁迫相关基因,共有1 979条EST延伸序列可能与干旱胁迫相关,其中预计下调的数量为959,上调的为1 020,共计109条干旱胁迫相关序列可能具有全长编码区;从细胞组分、分子功能和生物过程等3方面将这些延伸序列归类,为进一步克隆苹果干旱胁迫相关基因提供线索。
In order to make more efficient use of Apple EST public data resources and to facilitate the exchange and sharing of information, this study constructed Malus domestica Micro-Workstation, an Apple EST data analysis platform, and integrated a sequence extension system customized for Apple. The data analysis platform has the functions of local information query, simple sequence annotation and short sequence extension. Using the constructed platform as an aided tool, drought stress related genes were predicted from 324 308 apple EST sequences published. A total of 1 979 EST extension sequences were predicted to be related to drought stress, of which 959 were expected to be down-regulated and 1 020, a total of 109 drought stress related sequences may have the full-length coding region. These extension sequences are classified from three aspects of cellular components, molecular functions and biological processes, and provide clues for further cloning the genes related to drought stress in apple.