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Homeostasis lipid-protein in seed
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Keywords :lipids, proteins, seeds, QTL, Arabidopsis thaliana

Doctoral school affiliation : ED 145 Sciences du Végétal, Paris-Sud 11, Orsay


Contacts :

IIntitut Jean-Pierre Bourgin, UMR1318 INRA-AgroParisTech
INRA - Centre de Versailles-Grignon
Bâtiment 7
Route de Saint-Cyr (RD 10)
78026 Versailles Cedex France

tél : +33 (0)1 30 83 30 00 - fax : +33 (0)1 30 83 33 19

Group leader
Philippe Guerche
Senior Scientist

Alain Lécureuil
Technician

Sophie Jasinski
Research Scientist

Monique Durandet
Technician


Summary :

In order to substitute petroleum-derived products by molecules produced by “green chemistry” (i.e synthons), quality production and yield of industrially important crops need to be improved. In European oleoproteaginous, these molecules (oil, fatty acids, proteins, amino acids) are mainly stored in seed. The general objective of this new project is to identify the main factors (genetic, physiologic and environmental) that determine the partitioning between different types of reserves (mainly oil and protein) in Arabidopsis, a good oleaginous model. Then the knowledge from Arabidopsis will be transferred to high-yielding crops.
Three teams, belonging to the “reproduction and seeds” and "Adaptation of Plants to the Environment" thematic poles from “Versailles/Grignon” Centre, are involved in this project."



Main Results :

Production of plant material for QTL detection and natural variability analysis
Two independent cultures in highly controlled conditions have been led on three repetitions of the Arabidopsis core 48 collections (http://dbsgap.versailles.inra.fr/vnat/) and 20-Minimal sets of 8 Arabidopsis RIL populations optimized for QTL mapping (http://dbsgap.versailles.inra.fr/vnat/Fichier_collection/Rech_rils_pop.php). Lipid and protein contents will be measured on the seeds from these cultures in order to identify QTL for these traits. Once the identified QTL will be validated, a fine mapping will be undertaken in order to clone the gene(s).

Determination of phenotypical screens: lipid and protein contents
We need to determine lipid and protein seed content in a very high number of genotypes in a short time, as precisely as possible and in a repeatable manner. To achieve that, we plan to use the Near Infra Read Spectroscopy (NIRS). Indeed, preliminary results suggest that this technique, already used for crops, will be efficient on Arabidopsis seeds. NIRS should allow us to classify the genotypes depending on their lipid and protein seed content.



Selected Publications :

 

 

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