2021
DOI: 10.1145/3478513.3480548
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Modeling flower pigmentation patterns

Abstract: Although many simulation models of natural phenomena have been developed to date, little attention was given to a major contributor to the beauty of nature: the colorful patterns of flowers. We survey typical patterns and propose methods for simulating them inspired by the current understanding of the biology of floral patterning. The patterns are generated directly on geometric models of flowers, using different combinations of key mathematical models of morphogenesis: vascular patterning, positional informat… Show more

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Cited by 7 publications
(2 citation statements)
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“…Modelling approaches are powerful ways to explore pattern emergence, especially as the processes involved are often not intuitive. By combining mathematical models of relatively simple mechanisms, Ringham and colleagues recapitulated a broad range of petal patterns observed across flowers [ 89 ]. A theoretical model indicates that an activator-repressor system could also account for the violet and white pigmentation rings characteristic of passion flowers, although the molecular players remain to be identified [ 90 ].…”
Section: Developmental Processes Governing Petal Pattern Formationmentioning
confidence: 99%
“…Modelling approaches are powerful ways to explore pattern emergence, especially as the processes involved are often not intuitive. By combining mathematical models of relatively simple mechanisms, Ringham and colleagues recapitulated a broad range of petal patterns observed across flowers [ 89 ]. A theoretical model indicates that an activator-repressor system could also account for the violet and white pigmentation rings characteristic of passion flowers, although the molecular players remain to be identified [ 90 ].…”
Section: Developmental Processes Governing Petal Pattern Formationmentioning
confidence: 99%
“…Please note that these type of reaction-diffusion models are used to describe a variety of pattern formation, e.g. pigmentation patterning in flowers [Ringham et al 2021].…”
Section: Soil Modelmentioning
confidence: 99%