Volume 2, Issue 6 p. 809-821
Focus Article

Phenotyping the kinematics of leaf development in flowering plants: recommendations and pitfalls

Maryline Lièvre

Maryline Lièvre

Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, Montpellier, France

These authors equally contributed to the article.Search for more papers by this author
Nathalie Wuyts

Nathalie Wuyts

Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, Montpellier, France

VIB Department of Plant Systems Biology, Ghent University, Gent, Belgium

These authors equally contributed to the article.Search for more papers by this author
Sarah J. Cookson

Sarah J. Cookson

Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, Montpellier, France

Ecophysiologie et Génomique Fonctionnelle de la Vigne, INRA, UMR 1287, Villenave d'Ornon, France

These authors equally contributed to the article.Search for more papers by this author
Justine Bresson

Justine Bresson

Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, Montpellier, France

Laboratory of Tropical and Mediterranean Symbioses (UMR113), Université Montpellier 2, IRD, Cirad Supagro, INRA, Université Montpellier 2, CC002, Place E. Bataillon, Montpellier, France

These authors equally contributed to the article.Search for more papers by this author
Mélanie Dapp

Mélanie Dapp

Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, Montpellier, France

Laboratory of Plant Genetics Sciences III, Geneva 4, Switzerland

These authors equally contributed to the article.Search for more papers by this author
François Vasseur

François Vasseur

Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, Montpellier, France

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Catherine Massonnet

Catherine Massonnet

Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, Montpellier, France

Ecologie et Ecophysiologie Forestières, UMR 1137 INRA/UL, Champenoux, France

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Sébastien Tisné

Sébastien Tisné

Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, Montpellier, France

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Mathilde Bettembourg

Mathilde Bettembourg

Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, Montpellier, France

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Crispulo Balsera

Crispulo Balsera

Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, Montpellier, France

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Alexis Bédiée

Alexis Bédiée

Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, Montpellier, France

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Frédéric Bouvery

Frédéric Bouvery

Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, Montpellier, France

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Myriam Dauzat

Myriam Dauzat

Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, Montpellier, France

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Gaëlle Rolland

Gaëlle Rolland

Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, Montpellier, France

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Denis Vile

Denis Vile

Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, Montpellier, France

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Christine Granier

Corresponding Author

Christine Granier

Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, Montpellier, France

Correspondence to: [email protected]Search for more papers by this author
First published: 29 May 2013
Citations: 9

Conflict of interest: The authors have declared no conflicts of interest for this article.

Abstract

Leaves of flowering plants are produced from the shoot apical meristem at regular intervals and they grow according to a developmental program that is determined by both genetic and environmental factors. Detailed frameworks for multiscale dynamic analyses of leaf growth have been developed in order to identify and interpret phenotypic differences caused by either genetic or environmental variations. They revealed that leaf growth dynamics are non-linearly and nonhomogeneously distributed over the lamina, in the leaf tissues and cells. The analysis of the variability in leaf growth, and its underlying processes, has recently gained momentum with the development of automated phenotyping platforms that use various technologies to record growth at different scales and at high throughput. These modern tools are likely to accelerate the characterization of gene function and the processes that underlie the control of shoot development. Combined with powerful statistical analyses, trends have emerged that may have been overlooked in low throughput analyses. However, in many examples, the increase in throughput allowed by automated platforms has led to a decrease in the spatial and/or temporal resolution of growth analyses. Concrete examples presented here indicate that simplification of the dynamic leaf system, without consideration of its spatial and temporal context, can lead to important misinterpretations of the growth phenotype. WIREs Dev Biol 2013, 2:809–821. doi: 10.1002/wdev.119

This article is categorized under:

  • Plant Development > Vegetative Development