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首页> 外文期刊>Journal of Molecular Biology >Regulation of aerobic-to-anaerobic transitions by the FNR cycle in Escherichia coli.
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Regulation of aerobic-to-anaerobic transitions by the FNR cycle in Escherichia coli.

机译:在大肠杆菌中通过FNR循环调节有氧向厌氧的转变。

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摘要

The FNR (fumarate nitrate reduction) protein plays a central role in the global oxygen response of a variety of bacteria. In Escherichia coli, FNR is the master transcriptional regulator of the transition between aerobic and anaerobic growth. Regulation of FNR is achieved by cycling the molecule between three states in a process dependent on oxygen. In an effort to better understand the nature of this post-transcriptional cyclic regulatory mechanism, we formulated a kinetic model of the FNR protein and its regulation in E. coli. The values for the parameters of the model were fit to experimental data for the wild-type organism, and the model was validated by successfully predicting the behavior of fnr mutant strains characterized in the literature. We characterized the steady-state behavior of the FNR system by determining its sensitivity to changes in parameter values and its response to changes in the concentration of iron-sulfur cluster assembly proteins and the protease ClpXP. We also determined the steady-state induction characteristic that provides a direct estimate for the levels of the active form of FNR as a function of oxygen concentration. This result, in combination with reporter assays for expression of FNR target operons, gives an estimate for the equilibrium dissociation constant for the binding of active FNR to its recognition sequences in the DNA. Finally, we predicted the dynamics of the aerobic-to-anaerobic transition and determined distinct contributions to the dynamic profile of regulatory mechanisms operating at the transcriptional and post-translational levels.
机译:FNR(富马酸盐硝酸盐还原)蛋白在多种细菌的整体氧气反应中起着核心作用。在大肠杆菌中,FNR是有氧和厌氧生长之间过渡的主要转录调节因子。通过在取决于氧气的过程中使分子在三个状态之间循环来实现FNR的调节。为了更好地了解这种转录后循环调控机制的性质,我们制定了FNR蛋白的动力学模型及其在大肠杆菌中的调控。模型参数的值与野生型生物的实验数据相符,并且通过成功预测文献中表征的fnr突变菌株的行为来验证模型。我们通过确定FNR系统对参数值变化的敏感性及其对铁硫簇蛋白和蛋白酶ClpXP浓度变化的响应来表征FNR系统的稳态行为。我们还确定了稳态感应特性,该特性可以直接估算FNR活性形式的水平与氧气浓度的关系。该结果与用于表达FNR靶标操纵子的报告基因分析相结合,给出了活性FNR与其DNA中识别序列结合的平衡解离常数的估计值。最后,我们预测了有氧-厌氧转化的动力学过程,并确定了在转录和翻译后水平上调控机制动态变化的独特贡献。

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