Surfing on protein waves: proteophoresis as a mechanism for bacterial genome partitioning
arXiv:1702.07372 · doi:10.1103/PhysRevLett.119.028101
Abstract
Efficient bacterial chromosome segregation typically requires the coordinated action of a three-components, fueled by adenosine triphosphate machinery called the partition complex. We present a phenomenological model accounting for the dynamic activity of this system. The model is obtained by coupling simple linear reaction-diffusion equations with a proteophoresis, or "volumetric" chemophoresis, force field. This minimal description, in the sense of Occam's Razor principle, captures most known experimental observations: dynamic oscillations of complex components, complex separation and subsequent symmetrical positioning. The predictions of our model are in phenomenological agreement with and provide substantial insights into recent experiments. From a non-linear physics view point, this system explores the active separation of matter at micrometric scales with a dynamical instability between static positioning and travelling wave regimes.
6 pages, 3 figures
References in corpus (2)
Cited by in corpus (11)
- Self-organization principles of intracellular pattern formation
- Diffusiophoresis in Cells: a General Non-Equilibrium, Non-Motor Mechanism for the Metabolism-Dependent Transport of Particles in Cells
- Regulation of Pom cluster dynamics in Myxococcus xanthus
- Pattern selection in reaction diffusion systems
- Looping and Clustering model for the organization of protein-DNA complexes on the bacterial genome
- Theory of Active Intracellular Transport by DNA-relaying
- Phase separation of polymer-bound particles induced by loop-mediated 1D effective long-range interactions
- Self-organized system-size oscillation of a stochastic lattice-gas model
- Can a flux-based mechanism explain positioning of protein clusters in a three-dimensional cell geometry?
- Non-reciprocal interactions between condensates in chemically active mixtures
- Centre-finding in E. coli and the role of mathematical modelling: past, present and future