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Model-based reconstruction of whole organ growth dynamics reveals invariant patterns in leaf morphogenesis.


ABSTRACT: Plant organ morphogenesis spans several orders of magnitude in time and space. Because of limitations in live-imaging, analysing whole organ growth from initiation to mature stages typically rely on static data sampled from different timepoints and individuals. We introduce a new model-based strategy for dating organs and for reconstructing morphogenetic trajectories over unlimited time windows based on static data. Using this approach, we show that Arabidopsis thaliana leaves are initiated at regular 1-day intervals. Despite contrasted adult morphologies, leaves of different ranks exhibited shared growth dynamics, with linear gradations of growth parameters according to leaf rank. At the sub-organ scale, successive serrations from same or different leaves also followed shared growth dynamics, suggesting that global and local leaf growth patterns are decoupled. Analysing mutants leaves with altered morphology highlighted the decorrelation between adult shapes and morphogenetic trajectories, thus stressing the benefits of our approach in identifying determinants and critical timepoints during organ morphogenesis.

SUBMITTER: Oughou M 

PROVIDER: S-EPMC10095959 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

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Model-based reconstruction of whole organ growth dynamics reveals invariant patterns in leaf morphogenesis.

Oughou Mohamed M   Biot Eric E   Arnaud Nicolas N   Maugarny-Calès Aude A   Laufs Patrick P   Andrey Philippe P   Burguet Jasmine J  

Quantitative plant biology 20230203


Plant organ morphogenesis spans several orders of magnitude in time and space. Because of limitations in live-imaging, analysing whole organ growth from initiation to mature stages typically rely on static data sampled from different timepoints and individuals. We introduce a new model-based strategy for dating organs and for reconstructing morphogenetic trajectories over unlimited time windows based on static data. Using this approach, we show that <i>Arabidopsis thaliana</i> leaves are initiat  ...[more]

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