Size matters: tissue size as a marker for a transition between reaction–diffusion regimes in spatio-temporal distribution of morphogens

• DOI: 10.1098/rsos.211112
• Publication Date: 2022-01-26T08:06:32Z
• Authors: Alberto S. Ceccar...; Augusto Borges; Osvaldo Chara
• Keywords: Artificial intelligence; Cell Mechanics and Extracellular Matrix Interactions; Tumor Dynamics; Science; MORPHOGENS; morphogenesis; Morphogens ; Reaction-diffusion Model ; Morphogenesis ; Tissue Size; Mathematical analysis; Gene; Biochemistry; TISSUE SIZE; Agricultural and Biological Sciences; Diffusion; 03 medical and health sciences; tissue size; https://purl.org/becyt/ford/1.6; Biochemistry, Genetics and Molecular Biology; FOS: Mathematics; Genetics; https://purl.org/becyt/ford/1; Biology; Ecology, Evolution, Behavior and Systematics; Mathematical Modeling of Cancer Growth and Treatment; 0303 health sciences; morphogens; Domain (mathematical analysis); Physics; Q; Life Sciences; Cell Biology; Computer science; reaction–diffusion model; Chemistry; Evolution and Ecology of Endophyte-Grass Symbiosis; Reaction–diffusion system; Modeling and Simulation; Biological system; FOS: Biological sciences; MORPHOGENESIS; Physical Sciences; Crossover; Pattern formation; Thermodynamics; REACTION-DIFFUSION MODEL; Statistical physics; Mathematics; Morphogen

The reaction–diffusion model constitutes one of the most influential mathematical models to study distribution of morphogens in tissues. Despite its widespread use, the effect of finite tissue size on model-predicted spatio-temporal morphogen distributions has not been completely elucidated. In this study, we analytically investigated the spatio-temporal distributions of morphogens predicted by a reaction–diffusion model in a finite one-dimensional domain, as a proxy for a biological tissue, and compared it with the solution of the infinite-domain model. We explored the reduced parameter, the tissue length in units of a characteristic reaction–diffusion length, and identified two reaction–diffusion regimes separated by a crossover tissue size estimated in approximately three characteristic reaction–diffusion lengths. While above this crossover the infinite-domain model constitutes a good approximation, it breaks below this crossover, whereas the finite-domain model faithfully describes the entire parameter space. We evaluated whether the infinite-domain model renders accurate estimations of diffusion coefficients when fitted to finite spatial profiles, a procedure typically followed in fluorescence recovery after photobleaching (FRAP) experiments. We found that the infinite-domain model overestimates diffusion coefficients when the domain is smaller than the crossover tissue size. Thus, the crossover tissue size may be instrumental in selecting the suitable reaction–diffusion model to study tissue morphogenesis.