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Variable sizes of Escherichia coli chemoreceptor signaling teams

机译:可变大小的大肠杆菌化学感受器信号转导团队

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摘要

Like many sensory receptors, bacterial chemotaxis receptors form clusters. In bacteria, large-scale clusters are subdivided into signaling teams that act as ‘antennas' allowing detection of ligands with remarkable sensitivity. The range of sensitivity is greatly extended by adaptation of receptors to changes in concentrations through covalent modification. However, surprisingly little is known about the sizes of receptor signaling teams. Here, we combine measurements of the signaling response, obtained from in vivo fluorescence resonance energy transfer, with the statistical method of principal component analysis, to quantify the size of signaling teams within the framework of the previously successful Monod–Wyman–Changeux model. We find that size of signaling teams increases 2- to 3-fold with receptor modification, indicating an additional, previously unrecognized level of adaptation of the chemotaxis network. This variation of signaling-team size shows that receptor cooperativity is dynamic and likely optimized for sensing noisy ligand concentrations.
机译:像许多感觉受体一样,细菌趋化性受体形成簇。在细菌中,大型簇被细分为作为“天线”的信号传递团队,从而以极高的灵敏度检测配体。通过共价修饰使受体适应浓度变化,大大扩展了灵敏度范围。然而,令人惊讶的是,对受体信号传导团队的规模知之甚少。在这里,我们将通过体内荧光共振能量转移获得的信号反应的测量结果与主成分分析的统计方法结合起来,以量化先前成功的Monod-Wyman-Changeux模型框架内的信号团队规模。我们发现,随着受体的修饰,信号转导团队的规模增加了2到3倍,这表明趋化性网络的适应性达到了另外一个先前无法识别的水平。信号团队规模的这种变化表明,受体协同性是动态的,并且可能已优化用于感测嘈杂的配体浓度。

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