Oughou Mohamed, Biot Eric, Arnaud Nicolas, Maugarny-Calès Aude, Laufs Patrick, Andrey Philippe, Burguet Jasmine
Université Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), 78000 Versailles, France.
Université Paris-Saclay, 91405 Orsay, France.
Quant Plant Biol. 2023 Feb 3;4:e1. doi: 10.1017/qpb.2022.23. eCollection 2023.
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 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.
植物器官形态发生在时间和空间上跨越了几个数量级。由于活体成像的局限性，分析从起始阶段到成熟阶段的整个器官生长通常依赖于从不同时间点和个体采样的静态数据。我们引入了一种基于模型的新策略，用于确定器官的年代，并基于静态数据在无限的时间窗口内重建形态发生轨迹。使用这种方法，我们表明叶片以规则的1天间隔起始。尽管成年形态各异，但不同等级的叶片表现出共同的生长动态，生长参数根据叶序呈线性渐变。在亚器官尺度上，同一或不同叶片的连续锯齿也遵循共同的生长动态，这表明叶片的整体和局部生长模式是解耦的。分析形态改变的突变体叶片突出了成年形状与形态发生轨迹之间的去相关性，从而强调了我们的方法在识别器官形态发生过程中的决定因素和关键时间点方面的优势。
