Article abstract


Nature Methods 7, 547 - 553 (2010)
Published online: 13 June 2010 | doi:10.1038/nmeth.1472

Imaging plant growth in 4D: robust tissue reconstruction and lineaging at cell resolution

Romain Fernandez1,2,5, Pradeep Das3,5, Vincent Mirabet3, Eric Moscardi1, Jan Traas3, Jean-Luc Verdeil4, Grégoire Malandain2 & Christophe Godin1


Quantitative information on growing organs is required to better understand morphogenesis in both plants and animals. However, detailed analyses of growth patterns at cellular resolution have remained elusive. We developed an approach, multiangle image acquisition, three-dimensional reconstruction and cell segmentation–automated lineage tracking (MARS-ALT), in which we imaged whole organs from multiple angles, computationally merged and segmented these images to provide accurate cell identification in three dimensions and automatically tracked cell lineages through multiple rounds of cell division during development. Using these methods, we quantitatively analyzed Arabidopsis thaliana flower development at cell resolution, which revealed differential growth patterns of key regions during early stages of floral morphogenesis. Lastly, using rice roots, we demonstrated that this approach is both generic and scalable.

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  1. Equipe-projet Virtual Plants, Institut National de la Recherche en Informatique et en Automatique, Sophia Antipolis, France and Unité Mixte de Recherche Développement et Adaptation des Plantes, Montpellier, France.
  2. Equipe-projet Asclepios, Institut National de la Recherche en Informatique et en Automatique, Sophia Antipolis, France.
  3. Laboratoire Reproduction et Développement des Plantes, Ecole Normale Supérieure de Lyon et Institut National de la Recherche Agronomique, Lyon, France.
  4. Centre de Coopération Internationale en Recherche Agronomique pour le Développement et Unité Mixte de Recherche Développement et Adaptation des Plantes, Montpellier, France.
  5. These authors contributed equally to this work.

Correspondence to: Christophe Godin1 e-mail: christophe.godin@inria.fr



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