Agritrop
Accueil

Identifying developmental phases in the Arabidopsis thaliana rosette using integrative segmentation models

Lievre Maryline, Granier Christine, Guédon Yann. 2016. Identifying developmental phases in the Arabidopsis thaliana rosette using integrative segmentation models. New Phytologist, 210 (4) : 1466-1478.

Article de revue ; Article de revue à facteur d'impact
[img] Version Online first - Anglais
Accès réservé aux personnels Cirad
Utilisation soumise à autorisation de l'auteur ou du Cirad.
579927.pdf

Télécharger (901kB) | Demander une copie
[img] Version publiée - Anglais
Accès réservé aux personnels Cirad
Utilisation soumise à autorisation de l'auteur ou du Cirad.
LievreGranierGuedon2016.pdf

Télécharger (1MB) | Demander une copie

Quartile : Outlier, Sujet : PLANT SCIENCES

Résumé : The change in leaf size and shape during ontogeny associated with heteroblastic development is a composite trait for which extensive spatiotemporal data can be acquired using phenotyping platforms. However, only part of the information contained in such data is exploited, and developmental phases are usually defined using a selected organ trait. We here introduce new methods for identifying developmental phases in the Arabidopsis rosette using various traits and minimum a priori assumptions. A pipeline of analysis was developed combining image analysis and statistical models to integrate morphological, shape, dimensional and expansion dynamics traits for the successive leaves of the Arabidopsis rosette. Dedicated segmentation models called semi-Markov switching models were built for selected genotypes in order to identify rosette developmental phases. Four successive developmental phases referred to as seedling, juvenile, transition and adult were identified for the different genotypes. We show that the degree of covering of the leaf abaxial surface with trichomes is insufficient to define these developmental phases. Using our pipeline of analysis, we were able to identify the supplementary seedling phase and to uncover the structuring role of various leaf traits. This enabled us to compare on a more objective basis the vegetative development of Arabidopsis mutants.

Mots-clés Agrovoc : Arabidopsis thaliana, développement biologique, génotype, phénotype, Arabidopsis, méthode statistique, feuille

Classification Agris : F62 - Physiologie végétale - Croissance et développement
U10 - Informatique, mathématiques et statistiques

Champ stratégique Cirad : Hors axes (2014-2018)

Auteurs et affiliations

  • Lievre Maryline, INRA (FRA)
  • Granier Christine, Montpellier SupAgro (FRA)
  • Guédon Yann, CIRAD-BIOS-UMR AGAP (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/579927/)

Voir la notice (accès réservé à Agritrop) Voir la notice (accès réservé à Agritrop)

[ Page générée et mise en cache le 2024-03-31 ]