ArticleJournal of the Royal Society, Interface2013
A simple probabilistic model of submicroscopic diatom morphogenesis.
Article in Journal of the Royal Society, Interface, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Hexagonal Patterns in Diatom Silica Form via a Directional Two-Step Process.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Intracellular morphogenesis of diatom silica is guided by local variations in membrane curvature.Nature communications · 2024Article
- Mechanism of branching morphogenesis inspired by diatom silica formation.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- The molecular basis for pore pattern morphogenesis in diatom silica.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Emergent patterns from probabilistic generalizations of lateral activation and inhibition.Journal of the Royal Society, Interface · 2016Article
- Titanium uptake and incorporation into silica nanostructures by the diatomJournal of applied phycologyArticle
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Unicellular algae called diatoms morph biomineral compounds into tough exoskeletons via complex intracellular processes about which there is much to be learned. These exoskeletons feature a rich variety of structures from submicroscale to milliscale, many that have not been reproduced in vitro. In order to help understand this complex miniature morphogenesis, here we introduce and analyse a simple model of biomineral kinetics, focusing on the exoskeleton's submicroscopic patterned planar structures called pore occlusions. The model reproduces most features of these pore occlusions by retuning just one parameter, thereby indicating what physio-biochemical mechanisms could sufficiently explain morphogenesis at the submicroscopic scale: it is sufficient to identify a mechanism of lateral negative feedback on the biomineral reaction kinetics. The model is nonlinear and stochastic; it is an extended version of the threshold voter model. Its mean-field equation provides a simple and, as far as the authors are aware, new way of mapping out the spatial patterns produced by lateral inhibition and variants thereof.
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Registered trials
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