A stochastic multicellular model identifies biological watermarks from disorders in self-organized patterns of phyllotaxis

A stochastic multicellular model identifies biological watermarks from disorders in self-organized patterns of phyllotaxis

Exploration of developmental mechanisms classically relies on analysis of pattern regularities. Whether disorders induced by biological noise may carry information on building principles of developmental systems is an important debated question. Here, we addressed theoretically this question using p...

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Bibliographic Details
Main Authors: Yassin Refahi, Géraldine Brunoud, Etienne Farcot, Alain Jean-Marie, Minna Pulkkinen, Teva Vernoux, Christophe Godin
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2016-07-01
Series:eLife
Subjects:
phyllotaxis
emergence
inhibitory fields
noise
multi-scale modeling
permutations
Online Access:https://elifesciences.org/articles/14093

Internet

https://elifesciences.org/articles/14093

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