Effects of developmental variability on the dynamics and self-organization of cell populations

TL;DR

This study combines experimental and theoretical approaches to understand how developmental variability influences pattern formation in Dictyostelium discoideum populations, revealing that initial conditions and parameter dynamics critically shape emergent patterns.

Contribution

The paper introduces a modified Kessler-Levine model incorporating developmental stage-dependent parameters and validates it with experimental data, advancing understanding of pattern formation in cell populations.

Findings

Different patterns emerge based on initial developmental stages.

The modified model accurately reproduces experimental and previous independent results.

Pattern formation reflects the temporal evolution of biochemical parameters.

Abstract

We report experimental and theoretical results on spatiotemporal pattern formation in cell populations, where the parameters vary in space and time due to mechanisms intrinsic to the system, namely Dictyostelium discoideum (D.d.) in the starvation phase. We find that different patterns are formed when the populations are initialized at different developmental stages, or, when populations at different initial developmental stages are mixed. The experimentally observed patterns can be understood with a modified Kessler-Levine model that takes into account the initial spatial heterogeneity of the cell populations and a developmental path introduced by us, i.e., the time dependence of the various biochemical parameters. The dynamics of the parameter agree with known biochemical studies. Most importantly the modified model reproduces not only our results, but also the observations of an independent experiment published earlier. This shows that pattern formation can be used to understand and quantify the temporal evolution of the system parameters.