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...
| Main Authors: | , , , , , , |
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| Format: | Article |
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eLife Sciences Publications
2016
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| Online Access: | https://eprints.nottingham.ac.uk/35141/ |
| _version_ | 1848795011433365504 |
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| author | Refahi, Yassin Brunoud, Geraldine Farcot, Etienne Jean-Marie, Alain Pulkkinen, Minna Vernoux, Teva Godin, Christophe |
| author_facet | Refahi, Yassin Brunoud, Geraldine Farcot, Etienne Jean-Marie, Alain Pulkkinen, Minna Vernoux, Teva Godin, Christophe |
| author_sort | Refahi, Yassin |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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 phyllotaxis, the geometric arrangement of plant aerial organs, as a model system. Phyllotaxis arises from reiterative organogenesis driven by lateral inhibitions at the shoot apex. Motivated by recurrent observations of disorders in phyllotaxis patterns, we revisited in depth the classical deterministic view of phyllotaxis. We developed a stochastic model of primordia initiation at the shoot apex, integrating locality and stochasticity in the patterning system. This stochastic model recapitulates phyllotactic patterns, both regular and irregular, and makes quantitative predictions on the nature of disorders arising from noise. We further show that disorders in phyllotaxis instruct us on the parameters governing phyllotaxis dynamics, thus that disorders can reveal biological watermarks of developmental systems. |
| first_indexed | 2025-11-14T19:25:18Z |
| format | Article |
| id | nottingham-35141 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:25:18Z |
| publishDate | 2016 |
| publisher | eLife Sciences Publications |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-351412020-05-04T18:03:23Z https://eprints.nottingham.ac.uk/35141/ A stochastic multicellular model identifies biological watermarks from disorders in self-organized patterns of phyllotaxis Refahi, Yassin Brunoud, Geraldine Farcot, Etienne Jean-Marie, Alain Pulkkinen, Minna Vernoux, Teva Godin, Christophe 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 phyllotaxis, the geometric arrangement of plant aerial organs, as a model system. Phyllotaxis arises from reiterative organogenesis driven by lateral inhibitions at the shoot apex. Motivated by recurrent observations of disorders in phyllotaxis patterns, we revisited in depth the classical deterministic view of phyllotaxis. We developed a stochastic model of primordia initiation at the shoot apex, integrating locality and stochasticity in the patterning system. This stochastic model recapitulates phyllotactic patterns, both regular and irregular, and makes quantitative predictions on the nature of disorders arising from noise. We further show that disorders in phyllotaxis instruct us on the parameters governing phyllotaxis dynamics, thus that disorders can reveal biological watermarks of developmental systems. eLife Sciences Publications 2016-07-06 Article PeerReviewed Refahi, Yassin, Brunoud, Geraldine, Farcot, Etienne, Jean-Marie, Alain, Pulkkinen, Minna, Vernoux, Teva and Godin, Christophe (2016) A stochastic multicellular model identifies biological watermarks from disorders in self-organized patterns of phyllotaxis. eLife, 5 . e14093/1-e14093/51. ISSN 2050-084X https://elifesciences.org/content/5/e14093 doi:10.7554/eLife.14093 doi:10.7554/eLife.14093 |
| spellingShingle | Refahi, Yassin Brunoud, Geraldine Farcot, Etienne Jean-Marie, Alain Pulkkinen, Minna Vernoux, Teva Godin, Christophe A stochastic multicellular model identifies biological watermarks from disorders in self-organized patterns of phyllotaxis |
| title | A stochastic multicellular model identifies biological watermarks from disorders in self-organized patterns of phyllotaxis |
| title_full | A stochastic multicellular model identifies biological watermarks from disorders in self-organized patterns of phyllotaxis |
| title_fullStr | A stochastic multicellular model identifies biological watermarks from disorders in self-organized patterns of phyllotaxis |
| title_full_unstemmed | A stochastic multicellular model identifies biological watermarks from disorders in self-organized patterns of phyllotaxis |
| title_short | A stochastic multicellular model identifies biological watermarks from disorders in self-organized patterns of phyllotaxis |
| title_sort | stochastic multicellular model identifies biological watermarks from disorders in self-organized patterns of phyllotaxis |
| url | https://eprints.nottingham.ac.uk/35141/ https://eprints.nottingham.ac.uk/35141/ https://eprints.nottingham.ac.uk/35141/ |