植物表观基因组和转录组数据整合及其时序动态变化规律探索

随着高通量技术的发展与应用，公共数据库中的组学数据比任何一个实验室能产生的数据都多，具有更丰富的知识含量，并将提供更开阔的生物学研究视角。然而，信息的海量积累和技术平台的多样性给数据处理带来了多重挑战，急需数据整合的方法和思路。我们针对公共数据库现有的和自行产生的植物表观基因组和转录组学数据，制定标准化分析流程，定制可视化平台，研发以植物基因功能注释和motif分析为主的分析工具，构建一个植物表观基因组和转录组数据整合与挖掘平台，进而从总体上对表观遗传标记与转录调控相关性进行分析。在此基础上，针对植物时序（如昼夜节律变化，叶片衰老等）的动态基因表达调控和表观遗传变化的规律进行探索，以期发现时序转录调控的关键因子，并尝试跨物种表观基因组比较分析（包括拟南芥、水稻和玉米）。植物表观基因组和转录组数据整合与挖掘平台的构建将对植物基因调控网络的深入研究有巨大的裨益。

With the development and application of high-throughput technologies, omics data in public databases are much more than any lab capable of producing data, and have a wealth of biological knowledge content. In addition, integration of these public data sets will provide broader biological views and insights than using a single set of data. However, the massive accumulation of information and diverse technology platforms pose multiple challenges for data processing. It is urgent and necessary to find suitable methods and ideas for high-throughput data integration. In order to integrate the plant epigenome and transcriptome data sets from public available database and our own lab, we need develop a standardization analysis process and custom visualization platform, establish computational tools for plant gene annotation and motif analysis, and build a comprehensive platform for plant epigenome and transcriptome data integration and data mining, then globally study the relationship between plant epigenetic modification marks and transcription regulation. In the meanwhile, we will use the platform to elucidate the possible molecular mechanisms underlying the plant temporal (such as circadian rhythm, leaf senescence, and so on) epigenomic changes and dynamics regulation of gene expression. We try to identify the critical factors regulating the temporal gene transcription. Furthermore, we will conduct cross-species epigenome analyses (including Arabidopsis, rice and corn). In a word, the integration and data mining platform of plant epigenome and transcriptome will have enormous benefits for the in-depth studies of plant gene regulatory networks in future.