Theory of branching morphogenesis by local interactions and global guidance

• Published in: Nature communications 2021-11, Vol.12 (1), p.6830-6830, Article 6830
• Main Authors: Uçar, Mehmet Can, Kamenev, Dmitrii, Sunadome, Kazunori, Fachet, Dominik, Lallemend, Francois, Adameyko, Igor, Hadjab, Saida, Hannezo, Edouard
• Format: Article
• Language: English
• Subjects: 631/136/1660/1993/1456; 631/57/2266; Animals; Animals, Genetically Modified; Branching; Branching (mathematics); Genes, Reporter - genetics; Humanities and Social Sciences; Innervation; Intravital Microscopy; Markov processes; Mathematical models; Medicin och hälsovetenskap; Model testing; Models, Animal; Models, Biological; Morphogenesis; Morphology; multidisciplinary; Numerical prediction; Organs; Regulatory mechanisms (biology); Scaling laws; Science; Science (multidisciplinary); Sensory Receptor Cells - physiology; Stochastic Processes; Stochasticity; Zebrafish; Zebrafish - embryology
• ISSN: 2041-1723; 2041-1723
• DOI: 10.1038/s41467-021-27135-5

Branching morphogenesis governs the formation of many organs such as lung, kidney, and the neurovascular system. Many studies have explored system-specific molecular and cellular regulatory mechanisms, as well as self-organizing rules underlying branching morphogenesis. However, in addition to local cues, branched tissue growth can also be influenced by global guidance. Here, we develop a theoretical framework for a stochastic self-organized branching process in the presence of external cues. Combining analytical theory with numerical simulations, we predict differential signatures of global vs. local regulatory mechanisms on the branching pattern, such as angle distributions, domain size, and space-filling efficiency. We find that branch alignment follows a generic scaling law determined by the strength of global guidance, while local interactions influence the tissue density but not its overall territory. Finally, using zebrafish innervation as a model system, we test these key features of the model experimentally. Our work thus provides quantitative predictions to disentangle the role of different types of cues in shaping branched structures across scales. Many organs and cells have complex tree-like morphologies, but how these patterns emerge during development from global guidance cues and local self-organization remains unclear. Here, the authors develop a theory for the influence of both factors and test it on neuronal branching data.