Multiscale quantification of morphodynamics: MorphoLeaf, software for 2-D shape analysis

Author:

Biot Eric12,Cortizo Millán12,Burguet Jasmine12,Kiss Annamaria342,Oughou Mohammed1,Maugarny-Calès Aude15,Gonçalves Beatriz1,Adroher Bernard1,Andrey Philippe16,Boudaoud Arezki34,Laufs Patrick1ORCID

Affiliation:

1. Institut Jean-Pierre Bourgin, INRA, AgroParisTech, CNRS, Université Paris-Saclay, RD10, 78026 Versailles Cedex, France

2. These authors contributed equally to this work.

3. Laboratoire de Reproduction et de Développement des Plantes, INRA, CNRS, ENS de Lyon, UCB Lyon 1, Université de Lyon, 46 Allée d'Italie, 69364 Lyon, Cedex 07, France

4. Laboratoire Joliot-Curie, CNRS, ENS de Lyon, Université de Lyon, 46 Allée d'Italie, 69364 Lyon Cedex 07, France

5. Univ. Paris-Sud, Orsay, France

6. Sorbonne Universités, UPMC Univ Paris 06 UFR 927, Paris, France

Abstract

A major challenge in morphometrics is to analyse complex biological shapes formed by structures at different scales. Leaves exemplify this challenge as they combine differences in their overall shape with smaller shape variations at their margin leading to lobes or teeth. Current methods based on contour or on landmarks analysis are successful in quantifying either overall leaf shape or leaf margin dissection, but fail in combining the two. Here, we present a comprehensive strategy and its associated freely available platform for the quantitative, multiscale analysis of the morphology of leaves with different architectures. For this, biologically relevant landmarks are automatically extracted and hierarchized, and used to guide the reconstruction of accurate average contours that properly represent both global and local features. Using this method we established a quantitative framework of the developmental trajectory of Arabidopsis leaves of different ranks and retraced the origin of leaf heteroblasty. When applied to different mutant forms our method can contribute to a better comprehension of gene function as we show here for the role of CUC2 during Arabidopsis leaf serration. Finally, we illustrated the wider applicability of our tool by analysing hand morphometrics.

Funder

Agence Nationale de la Recherche

Fundacion Alfonso Martin Escudero

Publisher

The Company of Biologists

Subject

Developmental Biology,Molecular Biology

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