Biological action at a distance: Correlated pattern formation in adjacent tessellation domains without communication

• Published in: PLoS computational biology Vol. 18; no. 3; p. e1009963
• Main Authors: Brooke, John M, James, Sebastian S, Jimenez-Rodriguez, Alejandro, Wilson, Stuart P
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 01.03.2022; Public Library of Science (PLoS)
• Subjects: Biological activity; Biology and Life Sciences; Cellular automata; Communication; Computer and Information Sciences; Constraints; Correlation; Cortex (somatosensory); Diffusion; Domains; Gene expression; Health aspects; Hypotheses; Medicine and Health Sciences; Pattern formation; Physical Sciences; Research and Analysis Methods; Simulation; Somatosensory Cortex; Tessellation; United Kingdom
• ISSN: 1553-7358; 1553-734X; 1553-7358
• DOI: 10.1371/journal.pcbi.1009963

Tessellations emerge in many natural systems, and the constituent domains often contain regular patterns, raising the intriguing possibility that pattern formation within adjacent domains might be correlated by the geometry, without the direct exchange of information between parts comprising either domain. We confirm this paradoxical effect, by simulating pattern formation via reaction-diffusion in domains whose boundary shapes tessellate, and showing that correlations between adjacent patterns are strong compared to controls that self-organize in domains with equivalent sizes but unrelated shapes. The effect holds in systems with linear and non-linear diffusive terms, and for boundary shapes derived from regular and irregular tessellations. Based on the prediction that correlations between adjacent patterns should be bimodally distributed, we develop methods for testing whether a given set of domain boundaries constrained pattern formation within those domains. We then confirm such a prediction by analysing the development of 'subbarrel' patterns, which are thought to emerge via reaction-diffusion, and whose enclosing borders form a Voronoi tessellation on the surface of the rodent somatosensory cortex. In more general terms, this result demonstrates how causal links can be established between the dynamical processes through which biological patterns emerge and the constraints that shape them.