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Biophysics: Formation of swarms in nanosystems

Date:
August 18, 2015
Source:
Ludwig-Maximilians-Universität München
Summary:
One of the striking features of self-organization in biomolecular systems is the capacity of assemblies of filamentous particles for synchronous motion. Physicists now provide new insights into how such movements are coordinated.
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One of the striking features of self-organization in biomolecular systems is the capacity of assemblies of filamentous particles for synchronous motion. Physicists of Ludwig-Maximilians-Universitaet (LMU) in Munich now provide new insights into how such movements are coordinated.

Living matter, which consists largely of diverse polymeric structures assembled from various types of subunits, often exhibits striking behaviors, such as a capacity for self-organization and active motion. On an organismic scale, this type of collective motion is exemplified by the synchronous motions of flocks of starlings or geese, but it is also observed at the level of bacterial and animal cells. Physicists are interested in teasing out the elementary mechanisms that underlie the formation of such ordered structures and organized motions, with a view to gaining a deeper understanding of macroscopic phenomena.

Dr. Christoph Weber and Professor Erwin Frey, who holds the Chair of Biological and Statistical Physics at LMU Munich, in collaboration with Dr. Ryo Suzuki and Professor Andreas Bausch at the Technical University of Munich (TUM), have chosen a model system based on filaments made up of subunits of the protein actin for their investigations.

Actin microfilaments are involved in the active migration of nucleated cells and in intracellular transport processes. In their experiments the researchers first immobilize motor proteins by fixing them to a glass slide. When actin filaments were added together with a source of biochemical energy, they interacted with the motors and exhibited active gliding motions. Moreover, individual filaments were found to locally adopt strongly curved configurations, and the team analyzed their statistics, what happens when filaments collide and under what conditions interacting filaments exhibit collective, streaming motions. Their latest results appear in the journals Nature Physics and PNAS.

According to the most popular theory, the fact that thin actin filaments bend as they are propelled by motor proteins is attributable to random thermal fluctuations, i.e. Brownian motion. But this assumption is false, says Christoph Weber, who now works at the Max-Planck-Institute for the Physics of Complex Systems in Dresden. Brownian motion has only a very weak impact on the form of the filaments. Instead, as the Munich researchers show, the molecular motors are not only responsible for propelling the fibers, they also cause them to form strong bends. "The filaments exhibit a range of local curvatures, the statistical distribution of which is incompatible with thermally driven motion," Ryo Suzuki explains.

The role of non-binary interactions

In addition, the researchers have shown that the assumption that the interactions in the system are always binary in nature is not sufficient to explain the fact that, at high densities, filaments can align with each other and begin to display directed, collective motions. In fact, simultaneous encounters involving multiple agents appear to be required to account for the emergence of such collective motion. In this case, the filaments, each of which is composed of multiple subunits, apparently remain in stable alignment with each other and interact not only pairwise, but also in a non-binary manner. In their experiments, the scientists observed that, depending on the density and the mean length of the filaments, a phase transition occurs in which a state of non-directed movements is abruptly transformed into one characterized by collective motions ('swarm formation'). Furthermore, this transition resembles the condensation of a gas into the liquid state, except that in this case, it is not the pattern of microscopic molecular motions that changes but the orientation of the molecules in the system.

From a theoretical point of view, this implies that the currently favored model for the motions of actively driven particles, which is based on the kinetic theory of gases, cannot adequately account for the behavior of such systems. Instead, it appears as if the filaments themselves act in a coordinated fashion, like molecules in a fluid state. "To understand how collective motion arises in these systems, we need to develop new theoretical concepts which go beyond the assumptions of the kinetic theory of gases," says Erwin Frey, whose work is supported by the Nanosystems Initiative Munich (NIM), a Cluster of Excellence. Exactly what happens at the microscopic level when filaments come into alignment, i.e. how their subunits interact with neighbors or exchange places, is not yet clear. At all events, a better understanding of the physics of actively propelled systems would permit scientists to construct entirely novel nanosystems that display collective behaviors.


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Journal References:

  1. Ryo Suzuki, Christoph A. Weber, Erwin Frey, Andreas R. Bausch. Polar pattern formation in driven filament systems requires non-binary particle collisions. Nature Physics, 2015; DOI: 10.1038/nphys3423
  2. Christoph A. Weber, Ryo Suzuki, Volker Schaller, Igor S. Aranson, Andreas R. Bausch, Erwin Frey. Random bursts determine dynamics of active filaments. Proceedings of the National Academy of Sciences, 2015; 201421322 DOI: 10.1073/pnas.1421322112

Cite This Page:

Ludwig-Maximilians-Universität München. "Biophysics: Formation of swarms in nanosystems." ScienceDaily. ScienceDaily, 18 August 2015. <www.sciencedaily.com/releases/2015/08/150818142404.htm>.
Ludwig-Maximilians-Universität München. (2015, August 18). Biophysics: Formation of swarms in nanosystems. ScienceDaily. Retrieved March 28, 2024 from www.sciencedaily.com/releases/2015/08/150818142404.htm
Ludwig-Maximilians-Universität München. "Biophysics: Formation of swarms in nanosystems." ScienceDaily. www.sciencedaily.com/releases/2015/08/150818142404.htm (accessed March 28, 2024).

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