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首页> 外文期刊>PLoS Computational Biology >Defining the Plasticity of Transcription Factor Binding Sites by Deconstructing DNA Consensus Sequences: The PhoP-Binding Sites among Gamma/Enterobacteria
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Defining the Plasticity of Transcription Factor Binding Sites by Deconstructing DNA Consensus Sequences: The PhoP-Binding Sites among Gamma/Enterobacteria

机译:通过解构DNA共识序列来定义转录因子结合位点的可塑性:γ/肠杆菌之间的PhoP结合位点。

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Transcriptional regulators recognize specific DNA sequences. Because these sequences are embedded in the background of genomic DNA, it is hard to identify the key cis-regulatory elements that determine disparate patterns of gene expression. The detection of the intra- and inter-species differences among these sequences is crucial for understanding the molecular basis of both differential gene expression and evolution. Here, we address this problem by investigating the target promoters controlled by the DNA-binding PhoP protein, which governs virulence and Mg2+ homeostasis in several bacterial species. PhoP is particularly interesting; it is highly conserved in different gamma/enterobacteria, regulating not only ancestral genes but also governing the expression of dozens of horizontally acquired genes that differ from species to species. Our approach consists of decomposing the DNA binding site sequences for a given regulator into families of motifs (i.e., termed submotifs) using a machine learning method inspired by the “Divide & Conquer” strategy. By partitioning a motif into sub-patterns, computational advantages for classification were produced, resulting in the discovery of new members of a regulon, and alleviating the problem of distinguishing functional sites in chromatin immunoprecipitation and DNA microarray genome-wide analysis. Moreover, we found that certain partitions were useful in revealing biological properties of binding site sequences, including modular gains and losses of PhoP binding sites through evolutionary turnover events, as well as conservation in distant species. The high conservation of PhoP submotifs within gamma/enterobacteria, as well as the regulatory protein that recognizes them, suggests that the major cause of divergence between related species is not due to the binding sites, as was previously suggested for other regulators. Instead, the divergence may be attributed to the fast evolution of orthologous target genes and/or the promoter architectures resulting from the interaction of those binding sites with the RNA polymerase.
机译:转录调节子识别特定的DNA序列。由于这些序列嵌入基因组DNA的背景中,因此很难鉴定决定基因表达不同模式的关键顺式调控元件。这些序列之间种间和种间差异的检测对于理解差异基因表达和进化的分子基础至关重要。在这里,我们通过研究受DNA结合的PhoP蛋白控制的靶启动子来解决这个问题,该蛋白控制几种细菌物种的毒力和Mg2 +稳态。 PhoP特别有趣。它在不同的γ/肠杆菌中高度保守,不仅调节祖先的基因,而且还控制着数十种水平捕获的基因的表达,这些基因因物种而异。我们的方法包括使用受“分而治之”策略启发的机器学习方法,将给定调节剂的DNA结合位点序列分解为基序家族(即称为子基序)。通过将一个基元划分为多个子基元,产生了分类的计算优势,从而发现了新的调节子成员,并减轻了染色质免疫沉淀和DNA微阵列全基因组分析中区分功能位点的问题。此外,我们发现某些分区可用于揭示结合位点序列的生物学特性,包括通过进化更新事件以及在远距离物种中的保育而造成的PhoP结合位点的模块化增益和损耗。 PhoP亚基在γ/肠杆菌中的高度保守性以及识别它们的调控蛋白表明,相关物种之间差异的主要原因不是结合位点所致,正如先前针对其他调控因子所建议的那样。相反,该差异可归因于直系同源靶基因和/或由那些结合位点与RNA聚合酶相互作用产生的启动子结构的快速进化。

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