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Transmembrane Helix Dynamics of Bacterial Chemoreceptors Supports a Piston Model of Signalling

机译:细菌化学感受器的跨膜螺旋动力学支持信号的活塞模型。

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摘要

Transmembrane α-helices play a key role in many receptors, transmitting a signal from one side to the other of the lipid bilayer membrane. Bacterial chemoreceptors are one of the best studied such systems, with a wealth of biophysical and mutational data indicating a key role for the TM2 helix in signalling. In particular, aromatic (Trp and Tyr) and basic (Arg) residues help to lock α-helices into a membrane. Mutants in TM2 of E. coli Tar and related chemoreceptors involving these residues implicate changes in helix location and/or orientation in signalling. We have investigated the detailed structural basis of this via high throughput coarse-grained molecular dynamics (CG-MD) of Tar TM2 and its mutants in lipid bilayers. We focus on the position (shift) and orientation (tilt, rotation) of TM2 relative to the bilayer and how these are perturbed in mutants relative to the wildtype. The simulations reveal a clear correlation between small (ca. 1.5 Å) shift in position of TM2 along the bilayer normal and downstream changes in signalling activity. Weaker correlations are seen with helix tilt, and littleone between signalling and helix twist. This analysis of relatively subtle changes was only possible because the high throughput simulation method allowed us to run large (n = 100) ensembles for substantial numbers of different helix sequences, amounting to ca. 2000 simulations in total. Overall, this analysis supports a swinging-piston model of transmembrane signalling by Tar and related chemoreceptors.
机译:跨膜α螺旋在许多受体中起关键作用,将信号从脂质双层膜的一侧传递到另一侧。细菌化学感受器是研究最深入的此类系统之一,其大量的生物物理和突变数据表明TM2螺旋在信号传导中起关键作用。特别地,芳族残基(Trp和Tyr)和碱性残基(Arg)有助于将α螺旋锁定在膜中。大肠杆菌Tar和涉及这些残基的相关化学感受器TM2中的突变体暗示着螺旋位置和/或方向的变化。我们已经通过高通量的焦油TM2及其脂质双层中的突变体的粗粒分子动力学(CG-MD)研究了其详细的结构基础。我们关注于TM2相对于双层的位置(移位)和方向(倾斜,旋转),以及它们如何相对于野生型在突变体中受到干扰。模拟结果表明,TM2沿双层法线的位置发生小幅度变化(约1.5Å)与信号传导下游变化之间存在明显的相关性。螺旋线倾斜可以看到较弱的相关性,而信号线和螺旋线扭曲之间几乎没有相关。这种相对细微的变化的分析是唯一可能的,因为高通量模拟方法使我们可以对大量不同的螺旋序列运行大的(n = 100)集合,总计约为。总共2000次模拟。总体而言,该分析支持Tar和相关化学感受器跨膜信号的摆动活塞模型。

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