Department of Neurobiology, Physiology and Behavior, University of California Davis, Davis, CA 95616, USA.
Phys Biol. 2010 Feb 10;7(1):16012. doi: 10.1088/1478-3975/7/1/016012.
Transport by processive molecular motors plays an important role in many cell biological phenomena. In many cases, motors work together to transport cargos in the cell, so it is important to understand the mechanics of the multiple motors. Based on earlier modeling efforts, here we study effects of nonlinear force-velocity relations and stochastic load sharing on multiple motor transport. We find that when two or three motors transport the cargo, then the nonlinear and stochastic effects compensate so that the mechanical properties of the transport are robust. Similarly, the transport is insensitive to compliance of the cargo-motor links. Furthermore, the rate of movement against moderate loads is not improved by increasing the small number of motors. When the motor number is greater than 4, correlations between the motors become negligible, and the earlier analytical mean-field theory of the multiple motor transport holds. We predict that the effective diffusion of the cargo driven by the multiple motors under load increases by an order of magnitude compared to that for the single motor. Finally, our simulations predict that the stochastic effects are responsible for a significant dispersion of velocities generated by the 'tug-of-war' of the multiple opposing motors.
在许多细胞生物学现象中,通过连续分子马达进行的运输起着重要作用。在许多情况下,马达协同工作以在细胞中运输货物,因此了解多个马达的力学特性非常重要。基于早期的建模工作,我们在这里研究了非线性力-速度关系和随机负载共享对多马达运输的影响。我们发现,当两个或三个马达运输货物时,那么非线性和随机效应会相互补偿,从而使运输的力学性能具有鲁棒性。同样,货物-马达连接的顺应性对运输不敏感。此外,增加少量马达不会提高中等负荷下的运动速度。当马达数量大于 4 时,马达之间的相关性可以忽略不计,并且之前的多马达运输的分析平均场理论成立。我们预测,在负载下由多个马达驱动的货物的有效扩散与单个马达相比增加了一个数量级。最后,我们的模拟预测,随机效应是由多个相反的马达的“拔河”产生的速度分布显著分散的原因。