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In Silico Analysis of Transcription Factor Repertoires and Prediction of Stress-Responsive Transcription Factors from Six Major Gramineae Plants

机译:六种禾本科植物转录因子库的计算机模拟分析和胁迫响应转录因子的预测

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摘要

The interactions between transcription factors (TFs) and cis-regulatory DNA sequences control gene expression, constituting the essential functional linkages of gene regulatory networks. The aim of this study is to identify and integrate all putative TFs from six grass species: Brachypodium distachyon, maize, rice, sorghum, barley, and wheat with significant information into an integrative database (GramineaeTFDB) for comparative genomics and functional genomics. For each TF, sequence features, promoter regions, domain alignments, GO assignment, FL-cDNA information, if available, and cross-references to various public databases and genetic resources are provided. Additionally, GramineaeTFDB possesses a tool which aids the users to search for putative cis-elements located in the promoter regions of TFs and predict the functions of the TFs using cis-element-based functional prediction approach. We also supplied hyperlinks to expression profiles of those TF genes of maize, rice, and barley, for which data are available. Furthermore, information about the availability of FOX and Ds mutant lines for rice and maize TFs, respectively, are also accessible through hyperlinks. Our study provides an important user-friendly public resource for functional analyses and comparative genomics of grass TFs, and understanding of the architecture of transcriptional regulatory networks and evolution of the TFs in agriculturally important cereal crops.
机译:转录因子(TFs)和顺式调节DNA序列之间的相互作用控制基因的表达,构成基因调节网络的基本功能联系。这项研究的目的是鉴定和整合来自六个草种的所有假定的TF:短枝曲霉,玉米,水稻,高粱,大麦和小麦,其中具有重要信息,并将其整合到用于比较基因组学和功能基因组学的综合数据库(GramineaeTFDB)中。对于每个TF,提供了序列特征,启动子区域,结构域比对,GO分配,FL-cDNA信息(如果可用)以及对各种公共数据库和遗传资源的交叉引用。另外,GramineaeTFDB拥有一个工具,可帮助用户搜索位于TF启动子区域的推定顺式元件,并使用基于顺式元素的功能预测方法来预测TF的功能。我们还提供了玉米,水稻和大麦这些TF基因表达谱的超链接,这些数据已有数据。此外,还可以通过超链接访问有关分别用于水稻和玉米TFs的FOX和Ds突变株系的信息。我们的研究为草TF的功能分析和比较基因组学,以及对农业重要谷类作物中转录调控网络的结构和TF进化的理解提供了重要的用户友好型公共资源。

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