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The evolutionary dynamics of functional modules and the extraordinary plasticity of regulons: the Escherichia coli perspective

机译:功能模块的进化动力学和调节子的非凡可塑性:大肠杆菌的观点

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摘要

Using profiles of phylogenetic profiles (P-cubic) we compared the evolutionary dynamics of different kinds of functional associations. Ordered from most to least evolutionarily stable, these associations were genes in the same operons, genes whose products participate in the same biochemical pathway, genes coding for physically interacting proteins and genes in the same regulons. Regulons showed the most plastic functional interactions with evolutionary stabilities barely better than those of unrelated genes. Further regulon analyses showed that global regulators contain less evolutionarily stable associations than local regulators. Genes co-repressed by global regulators had a higher evolutionary conservation than genes co-activated by global regulators. However, the reverse was true for genes co-repressed and co-activated by local regulators. Of all the regulon-related associations, the relationship between regulators and their target genes showed the most evolutionary stability. Different negative data sets built to contrast against each of the analysed kinds of modules also differed in evolutionary conservation revealing further underlying genome organization. Applying P-cubic analyses to other genomes might help visualize genome organization, understand the evolutionary importance and plasticity of functional associations and compare the quality of data sets expected to reflect functional interactions, such as those coming from high-throughput experiments.
机译:使用系统发育概况(P立方)的概况,我们比较了各种功能关联的进化动力学。从最高到最稳定的进化顺序,这些关联是相同操纵子中的基因,其产物参与相同生化途径的基因,编码物理相互作用蛋白质的基因和相同调节子中的基因。 Regulons表现出最多的可塑性功能相互作用和进化稳定性,几乎比不相关的基因更好。进一步的规则分析表明,与本地监管机构相比,全球监管机构所包含的进化稳定关联性较低。与被全球监管者共同激活的基因相比,被全球监管者共同抑制的基因具有更高的进化保守性。然而,相反的情况对于由局部调节物共抑制和共激活的基因是正确的。在所有与调节子相关的关联中,调节子与其靶基因之间的关系显示出最大的进化稳定性。为与每种分析模块进行对比而建立的不同阴性数据集在进化保守性方面也有所不同,从而揭示了进一步的潜在基因组结构。对其他基因组进行三次立方分析可能有助于可视化基因组组织,了解功能关联的进化重要性和可塑性,并比较预期反映功能相互作用的数据集的质量,例如那些来自高通量实验的数据。

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