由簇大小和顺序的循环动力学维持的有源灯丝系统中的微相分离

L. Huber, T. Krüger, Erwin Frey
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引用次数: 2

摘要

活性物质中极性聚集的开始是不连续的,类似于气液相变,除了稳定状态表现为微相分离成极性团簇。虽然这些特征已经在理论模型和实验中观察到,但在集群水平上对潜在的介观过程知之甚少。在这里,我们表明极性秩序的产生和维持是由具有不同大小和极性秩序程度的集群的组装和拆卸动力学之间的相互作用所控制的。在与肌动球蛋白运动分析相关的参数制度下,我们使用基于代理的推进细丝模拟,监测簇统计的时间演变和簇之间细丝的运输过程。我们发现,在一个很宽的参数范围内,有序的出现是由极性团簇的成核和生长决定的,其中成核阈值不仅取决于团簇的大小,而且取决于它的极性矩。增长涉及集群的自我复制,而极性秩序是由集群的增长和碎片化建立的。微相分离、极性有序状态的维持源于团簇大小和顺序的循环动力学,这是由单丝的团簇成核、凝聚、破碎和蒸发之间的相互作用驱动的。这些发现证实了动力学模型的集群动力学,包括这些基本的集群水平的过程。它始终如一地再现集群统计信息,以及从无序到有序集群之间的循环周转。这种循环动力学过程可以代表活性物质系统中维持秩序的一般机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microphase separation in active filament systems maintained by cyclic dynamics of cluster size and order
The onset of polar flocking in active matter is discontinuous, akin to gas-liquid phase transitions, except that the steady state exhibits microphase separation into polar clusters. While these features have been observed in theoretical models and experiments, little is known about the underlying mesoscopic processes at the cluster level. Here we show that emergence and maintenance of polar order are governed by the interplay between the assembly and disassembly dynamics of clusters with varying size and degree of polar order. Using agent-based simulations of propelled filaments in a parameter regime relevant for actomyosin motility assays, we monitor the temporal evolution of cluster statistics and the transport processes of filaments between clusters. We find that, over a broad parameter range, the emergence of order is determined by nucleation and growth of polar clusters, where the nucleation threshold depends not only on the cluster size but also on its polar moment. Growth involves cluster self-replication, and polar order is established by cluster growth and fragmentation. Maintenance of the microphase-separated, polar-ordered state results from a cyclic dynamics in cluster size and order, driven by an interplay between cluster nucleation, coagulation, fragmentation and evaporation of single filaments. These findings are corroborated by a kinetic model for the cluster dynamics that includes these elementary cluster-level processes. It consistently reproduces the cluster statistics as well as the cyclic turnover from disordered to ordered clusters and back. Such cyclic kinetic processes could represent a general mechanism for the maintenance of order in active matter systems.
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