The auxin signalling network translates dynamic input into robust patterning at the shoot apex

Teva Vernoux; Géraldine Brunoud; Etienne Farcot; Valérie Morin; Hilde Daele; Jonathan Legrand; Marina Oliva; Pradeep Das; Antoine Larrieu; Darren Wells; Yann Guédon; Lynne Armitage; Franck Picard; Soazig Guyomarch; Coralie Cellier; Geraint Parry; Rachil Koumproglou; John H. Doonan; Mark Estelle; Christophe Godin; Stefan Kepinski; Malcolm Bennett; Lieven Veylder; Jan Traas

doi:10.1038/msb.2011.39

Journal articles

The auxin signalling network translates dynamic input into robust patterning at the shoot apex

Teva Vernoux ¹ Géraldine Brunoud ¹ Etienne Farcot ^{2, 3} Valérie Morin ¹ Hilde Daele ^{4, 5} Jonathan Legrand ^{1, 3} Marina Oliva ¹ Pradeep Das ¹ Antoine Larrieu ⁶ Darren Wells ⁶ Yann Guédon ^{3, 2} Lynne Armitage ⁷ Franck Picard ^{8, 9} Soazig Guyomarch ¹ Coralie Cellier ¹ Geraint Parry ¹⁰ Rachil Koumproglou ¹¹ John H. Doonan ¹¹ Mark Estelle ¹⁰ Christophe Godin ^{3, 2} Stefan Kepinski ⁷ Malcolm Bennett ⁶ Lieven Veylder ^{4, 5} Jan Traas ¹

1 RDP - Reproduction et développement des plantes

2 UMR AGAP - Amélioration génétique et adaptation des plantes méditerranéennes et tropicales

3 VIRTUAL PLANTS - Modeling plant morphogenesis at different scales, from genes to phenotype

CRISAM - Inria Sophia Antipolis - Méditerranée , INRA - Institut National de la Recherche Agronomique, UMR AGAP - Amélioration génétique et adaptation des plantes méditerranéennes et tropicales

4 Department of Plant Systems Biology

5 Department of Plant Biotechnology and Genetics [Ghent]

6 CPIB - Centre for Plant Integrative Biology [Nothingham]

7 Centre for Plant Sciences [Leeds]

8 BAMBOO - An algorithmic view on genomes, cells, and environments

Inria Grenoble - Rhône-Alpes, LBBE - Laboratoire de Biométrie et Biologie Evolutive - UMR 5558

9 Statistique en grande dimension pour la génomique

PEGASE - Département PEGASE [LBBE]

10 Division of Biology [La Jolla]

11 Department of Cell and Developmental Biology [Norwich]

Abstract : The plant hormone auxin is thought to provide positional information for patterning during development. It is still unclear, however, precisely how auxin is distributed across tissues and how the hormone is sensed in space and time. The control of gene expression in response to auxin involves a complex network of over 50 potentially interacting transcriptional activators and repressors, the auxin response factors (ARFs) and Aux/IAAs. Here, we perform a large-scale analysis of the Aux/IAA-ARF pathway in the shoot apex of Arabidopsis, where dynamic auxin-based patterning controls organogenesis. A comprehensive expression map and full interactome uncovered an unexpectedly simple distribution and structure of this pathway in the shoot apex. A mathematical model of the Aux/IAA-ARF network predicted a strong buffering capacity along with spatial differences in auxin sensitivity. We then tested and confirmed these predictions using a novel auxin signalling sensor that reports input into the signalling pathway, in conjunction with the published DR5 transcriptional output reporter. Our results provide evidence that the auxin signalling network is essential to create robust patterns at the shoot apex.

Keywords : biosensor live imaging signalling

Document type :

Journal articles

Domain :

Computer Science [cs] / Modeling and Simulation

Complete list of metadata

Cited literature [58 references] Display Hide Download

https://hal.inria.fr/hal-00828880
Contributor : Christophe Godin <>
Submitted on : Friday, May 31, 2013 - 4:51:35 PM
Last modification on : Tuesday, September 7, 2021 - 3:36:41 PM
Long-term archiving on: : Sunday, September 1, 2013 - 7:10:23 AM

The auxin signalling network translates dynamic input into robust patterning at the shoot apex

Files

Licence

Identifiers

Collections

Citation

Export

Metrics

7321

1820

The auxin signalling network translates dynamic input into robust patterning at the shoot apex

Files

Licence

Identifiers

Collections

Citation

Export

Share

Metrics

7321

1820