苹果EST数据分析平台的构建及初步应用

Construction of EST-data analysis platform for Malus domestica and its preliminary application

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 use ESTs data for Malus domestica more efficiently and conveniently,an EST-data analysis platform as being named ＂Malus domestica Micro-Workstation＂ was constructed and a sequence extending system was built on this basis.Upon test with the platform,the drought stress-related genes from 324 308 ESTs of Malus domestica were examed for prediction.The results showed that 1 979 sequences of the drought stress-related genes were found,in which 109 sequences were identified with potentially full-length coding regions.A total of 959 drought stress-related sequences may be down-regulated,while the other 1 020 sequences may be up-regulated.Then these drought stress-related sequences were classified into various functional types,according to cellular component,molecular function or biological process.The data analysis platform could be used for apple biotechnology research such as local inquiry,sequence annotation,sequence extension and so on.