Subcellular self-organization is fundamentally necessary for cellular life, and in particular for cell division. There, the future cell division site at midcell needs to be marked for the cell division machinery. In the rod-shaped bacterium Myxococcus xanthus, the proteins PomX, PomY, and PomZ play a key role in this process. These proteins self-assemble to form a protein cluster on the cell nucleoid. Driven by a non-equilibrium reaction cycle of PomZ, the cluster then localizes at the cell midpoint, where it recruits the cell-division machinery. Upon division of the cell, also the cluster divides; on each of the respective daughter cells, the cluster then in turn translocates to the cell midpoint to again mark the cell division site.
A key aspect of the cluster translocation mechanism is the coupling of spatial dynamics with reactions. More specifically, PomZ proteins can exist in either an activated (dimeric, ATP-bound) state or a deactivated (monomeric) state. In the absence of PomX/PomY, PomZ is preferably in its activated form; the presence of PomX stimulates the deactivation of PomZ, whereby the bound ATP is hydrolized to ADP; the resulting PomZ monomers then diffusive in the cytosol, where after some time they again form ATP-bound dimers. This reaction cycle consumes energy, and the interaction of the ATP-bound PomZ dimers with the PomX/PomY cluster generates an effective force that drives the cluster towards midcell.
The objective of the project was to develop and study a mesoscopic model for the cell cycle of M. xanthus, and in particular to quantify the constraints imposed on the properties and interactions of the participating proteins. To account for the non-equilibrium PomZ reaction cycle described in the previous paragraph, the coupling of spatial dynamics with reactions is a key feature of our modeling. More explicitly, we consider overdamped stochastic dynamics of particles that can change their internal state (i.e. interaction properties) via reactions; to include the possibility of locally stimulated reactions, the reaction rates can depend on the local neighborhood of a particle. Therefore, in this particle-based reaction-diffusion model, both the spatial dynamics depends on the internal state of a particle, and the reaction rates at which the internal state changes depend on the spatial configuration.