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Phylogenetic Analysis of Eubacterial Transcriptional Systems Based On the Dbtbs Database of B. Subtilis Transcription Factors and Promoters

机译:基于B.枯草芽孢杆菌转录因子和启动子DBTBS数据库的有义程学转录系统的系统发育分析

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In 1999, we released the DBTBS database of Bacillus subtilis promoters and transcription factors [lj. DBTBS is a reference database containing experimentally characterized transcription factors with their regulated genes as well as their recognition sequences, as reported in the literature. This database is useful to confirm predictions about transcription relatives using B.subtilis data. The latest version of this database shows position specific scoring matrices (PSSMs) to support a function to find putative transcription factor binding sites [2], One of the problems for using weight matrices or consensus patterns to identify novel recognition positions of known transcription factors is that it often produces a number of false positives. To overcome this problem, the use of sequence conservation information between closely related species, called phylogenetic footprinting, is widely used. For example, we predicted B. subtilis regulons based on the conservation of upstream sequence segments between B. subtilis, B. halodurans, and B. stearothermophilus (7). In this report, we expand such an analysis into a systematic survey of the conservation of known -cis-elements, as well as their binding factors, through available eubacterial genome sequences. This allows us to analyze the relationship between transcriptional system, functional category and taxonomy.
机译:1999年,我们释放了枯草芽孢杆菌启动子和转录因子的DBTBS数据库[LJ。 DBTB是一种参考数据库,其载有实验表征转录因子,其受调节基因以及文献中报道的识别序列。此数据库可用于确认使用B.SubTilis数据的转录亲属的预测。该数据库的最新版本示出了特定于特定的评分矩阵(PSSMS)以支持找到推定的转录因子绑定站点[2],使用权重矩阵或共识模式来识别已知转录因子的新颖识别位置的问题之一它经常产生许多误报。为了克服这个问题,广泛使用了密切相关的物种之间的序列保护信息,称为系统发育足迹。例如,我们预测B.枯草芽孢杆菌神经芽孢杆菌,基于B.枯草芽孢杆菌,B. halodurans和B. stearothermophilus(7)之间的上游序列段的培养。在本报告中,我们通过可用的引导基因组序列将这种分析扩展为对已知的-CIS元素的保护以及其结合因子的系统调查。这使我们能够分析转录系统,功能类别和分类之间的关系。

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