Motor processivity and speed determine structure and dynamics of microtubule-motor assemblies
Abstract
Active matter systems can generate highly ordered structures, avoiding equilibrium through the consumption of energy by individual constituents. How the microscopic parameters that characterize the active agents are translated to the observed mesoscopic properties of the assembly has remained an open question. These active systems are prevalent in living matter; for example, in cells, the cytoskeleton is organized into structures such as the mitotic spindle through the coordinated activity of many motor proteins walking along microtubules. Here, we investigate how the microscopic motor-microtubule interactions affect the coherent structures formed in a reconstituted motor-microtubule system. This question is of deeper evolutionary significance as we suspect motor and microtubule type contribute to the shape and size of resulting structures. We explore key parameters experimentally and theoretically, using a variety of motors with different speeds, processivities, and directionalities. We demonstrate that aster size depends on the motor used to create the aster, and develop a model for the distribution of motors and microtubules in steady-state asters that depends on parameters related to motor speed and processivity. Further, we show that network contraction rates scale linearly with the single-motor speed in quasi one-dimensional contraction experiments. In all, this theoretical and experimental work helps elucidate how microscopic motor properties are translated to the much larger scale of collective motor-microtubule assemblies.
Data availability
All data associated with this study are stored on the CaltechData archive at DOI 10.22002/D1.2152.
Article and author information
Author details
Funding
Foundational Questions Institute (FQXi 1816)
- Rachel A Banks
- Vahe Galstyan
- Heun Jin Lee
- Soichi Hirokawa
- Matthew Thomson
- Rob Phillips
John Templeton Foundation (51250)
- Rachel A Banks
- Vahe Galstyan
- Heun Jin Lee
- Soichi Hirokawa
- Matthew Thomson
- Rob Phillips
National Institutes of Health (1R35 GM118043-01)
- Rachel A Banks
- Vahe Galstyan
- Heun Jin Lee
- Soichi Hirokawa
- Rob Phillips
John Templeton Foundation (60973)
- Rachel A Banks
- Vahe Galstyan
- Heun Jin Lee
- Soichi Hirokawa
- Matthew Thomson
- Rob Phillips
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Copyright
© 2023, Banks et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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Further reading
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The coordinated motion of animal groups through fluids is thought to reduce the cost of locomotion to individuals in the group. However, the connection between the spatial patterns observed in collectively moving animals and the energetic benefits at each position within the group remains unclear. To address this knowledge gap, we study the spontaneous emergence of cohesive formations in groups of fish, modeled as flapping foils, all heading in the same direction. We show in pairwise formations and with increasing group size that (1) in side-by-side arrangements, the reciprocal nature of flow coupling results in an equal distribution of energy requirements among all members, with reduction in cost of locomotion for swimmers flapping inphase but an increase in cost for swimmers flapping antiphase, and (2) in inline arrangements, flow coupling is non-reciprocal for all flapping phase, with energetic savings in favor of trailing swimmers, but only up to a finite number of swimmers, beyond which school cohesion and energetic benefits are lost at once. We explain these findings mechanistically and we provide efficient diagnostic tools for identifying locations in the wake of single and multiple swimmers that offer opportunities for hydrodynamic benefits to aspiring followers. Our results imply a connection between the resources generated by flow physics and social traits that influence greedy and cooperative group behavior.
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- Cell Biology
- Physics of Living Systems
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