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Productive Cooperation among Processive Motors Depends Inversely on Their Mechanochemical Efficiency

机译:加工电动机之间的生产合作反过来取决于它们的机械化学效率

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摘要

Subcellular cargos are often transported by teams of processive molecular motors, which raises questions regarding the role of motor cooperation in intracellular transport. Although our ability to characterize the transport behaviors of multiple-motor systems has improved substantially, many aspects of multiple-motor dynamics are poorly understood. This work describes a transition rate model that predicts the load-dependent transport behaviors of multiple-motor complexes from detailed measurements of a single motor's elastic and mechanochemical properties. Transition rates are parameterized via analyses of single-motor stepping behaviors, load-rate-dependent motor-filament detachment kinetics, and strain-induced stiffening of motor-cargo linkages. The model reproduces key signatures found in optical trapping studies of structurally defined complexes composed of two kinesin motors, and predicts that multiple kinesins generally have difficulties in cooperating together. Although such behavior is influenced by the spatiotemporal dependence of the applied load, it appears to be directly linked to the efficiency of kinesin's stepping mechanism, and other types of less efficient and weaker processive motors are predicted to cooperate more productively. Thus, the mechanochemical efficiencies of different motor types may determine how effectively they cooperate together, and hence how motor copy number contributes to the regulation of cargo motion.
机译:亚细胞货物通常由过程分子马达团队运输,这引起了关于马达合作在细胞内运输中的作用的疑问。尽管我们表征多电机系统的运输行为的能力已得到显着改善,但对多电机动力学的许多方面却知之甚少。这项工作描述了一个过渡速率模型,该模型可以通过对单个电动机的弹性和机械化学性质的详细测量来预测多电动机复合物的负载相关的运输行为。通过分析单电机的步进行为,负载率相关的电机丝分离动力学和应变引起的电机-货物连杆的刚度来对过渡速率进行参数化。该模型再现了在由两个驱动蛋白组成的结构确定的复合物的光阱研究中发现的关键特征,并预测多种驱动蛋白通常难以协同工作。尽管这种行为受到所施加负载的时空依赖性的影响,但它似乎与驱动蛋白的步进机制的效率直接相关,并且预计其他类型的效率较低和较弱的过程性电动机将更有效地协作。因此,不同电动机类型的机械化学效率可以决定它们如何有效地协同工作,从而确定电动机拷贝数如何有助于货物运动的调节。

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