ArticlePloS one2014
A developmental model for branching morphogenesis of lake cress compound leaf.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Theoretical models for branch formation in plants.Journal of plant research · 2019Review
- Developmental analyses of divarications in leaves of an aquatic fern Microsorum pteropus and its varieties.PloS one · 2019Article
- A common developmental program can produce diverse leaf shapes.The New phytologist · 2017Article
- Spatially Different Tissue-Scale Diffusivity Shapes ANGUSTIFOLIA3 Gradient in Growing Leaves.Biophysical journal · 2017Article
- Leaves may function as temperature sensors in the heterophylly of Rorippa aquatica (Brassicaceae).Plant signaling & behavior · 2015Article
- Regulation of the KNOX-GA gene module induces heterophyllic alteration in North American lake cress.The Plant cell · 2014Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lake cress, Rorippa aquatica (Brassicaceae), is a semi-aquatic plant that exhibits a variety of leaf shapes, from simple leaves to highly branched compound leaves, depending on the environment. Leaf shape can vary within a single plant, suggesting that the variation can be explained by a simple model. In order to simulate the branched structure in the compound leaves of R. aquatica, we implemented reaction-diffusion (RD) patterning onto a theoretical framework that had been developed for serration distribution in the leaves of Arabidopsis thaliana, with the modification of the one-dimensional reaction-diffusion domain being deformed with the spatial periodicity of the RD pattern while expanding. This simple method using an iterative pattern could create regular and nested branching patterns. Subsequently, we verified the plausibility of our theoretical model by comparing it with the experimentally observed branching patterns. The results suggested that our model successfully predicted both the qualitative and quantitative aspects of the timing and positioning of branching in growing R. aquatica leaves.
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Registered trials
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