Agritrop
Accueil

Lateral root growth: a framework to analyse the variability among elongation patterns and the impact of auxin and sugar signals

Moreno Ortega Beatriz, Muller Bertrand, Guédon Yann. 2015. Lateral root growth: a framework to analyse the variability among elongation patterns and the impact of auxin and sugar signals. In : Recent progress in drought tolerance: from genetics to modelling conference handbook. Tardieu F. (ed.), Draye X. (ed.), Charcosset A. (ed.), Hammer G. (ed.), Usadel B. (ed.), Tuberosa R. (ed.), Welker C. (ed.), Boerner A. (ed.), Simic D.(ed.), Boller B. (ed.). Eucarpia, INRA. Montpellier : INRA-Transfert, Résumé, 40. EUCARPIA Conference "Recent progress in drought tolerance: from genetics to modelling", Montpellier, France, 8 Juin 2015/9 Juin 2015.

Communication avec actes
[img] Version publiée - Anglais
Accès réservé aux personnels Cirad
Utilisation soumise à autorisation de l'auteur ou du Cirad.
GuedonY-KOM-Lateral-Root-growth.pdf

Télécharger (186kB) | Demander une copie
[img] Version publiée - Anglais
Accès réservé aux personnels Cirad
Utilisation soumise à autorisation de l'auteur ou du Cirad.
ID579987P.pdf

Télécharger (669kB) | Demander une copie

Matériel d'accompagnement : 1 poster

Résumé : A remarkable facet of lateral root (LR) behavior is variability affecting root development, leading to a large range of LR lengths and branching densities along the primary root. It has been argued that such variability among LRs could be a strategy to optimize soil exploration in a context of spatial and temporal heterogeneity of soil resources (Forde 2009). In order to characterize variability in LR growth and evaluate the role of hormonal and biochemical signals that might influence it, we analyzed the patterns of development of hundreds of lateral roots in a set of maize seedlings grown in rhizotrons. The SmartRoot software (Lobet et al. 2011) was used to provide a comprehensive recording of individual root elongation dynamics. Using a multivariate clustering method based on traits such as growth rates and apical root diameters, we identified a number of coherent growing states in maize LRs. This approach allows to quantify the variability of LR growth patterns in a root system in a probabilistic manner by computing the initial and transition probabilities among the different LR growing states. Moreover, the molecular and cellular characterization of apical root samples revealed consistent variations in meristem size, as well as sugar and auxin status relative to the growing state of the root. (Texte intégral)

Mots-clés libres : Lateral root growth, Developmental pattern, Probabilistic modelling, Auxin, Sugar signaling

Classification Agris : F62 - Physiologie végétale - Croissance et développement
F60 - Physiologie et biochimie végétale
U10 - Informatique, mathématiques et statistiques

Auteurs et affiliations

  • Moreno Ortega Beatriz, INRA (FRA)
  • Muller Bertrand, CIRAD-BIOS-UMR AGAP (SEN)
  • Guédon Yann, CIRAD-BIOS-UMR AGAP (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/579987/)

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

[ Page générée et mise en cache le 2024-04-05 ]