A model of replicating coupled oscillators generates naturally occurring cell networks

When a founder cell and its progeny divide with incomplete cytokinesis, a network forms in which each intercellular bridge corresponds to a past mitotic event. Networks built in this manner are required for gamete production in many animals, and different species have evolved very different final network topologies. While mechanisms regulating network assembly have been identified in particular organisms, we lack a quantitative framework to understand network assembly and inter-species variability. Motivated by cell networks responsible for oocyte production in invertebrates, where the final topology is typically invariant within each species, we devise a mathematical model for generating cell networks: each node is an oscillator, and after a full cycle, the node produces a daughter to which it remains connected. These cell cycle oscillations on the nodes are transient and coupled via diffusion over the network's edges. By variation of three biologically motivated parameters, our model generates nearly all such networks currently reported across invertebrates. Furthermore, small parameter variations can rationalize cases of within-species variation. Because cell networks outside of the ovary often form less deterministically, we propose generalizations of our model to account for different sources of stochasticity.