Réseaux Génomiques

BF2I

Acronyme ou nom de la structure
Nom complet (en toutes lettres)
Atelier de Bioinformatique
Adresse

INSA Bâtiment Louis Pasteur
20 avenue Albert Einstein

69621 Villeurbanne cedex
France

Téléphone
+33 (0)4 72 43 83 56
Fax
+33 (0)4 72 43 85 34
Description (English)

Research at BF2I is focused on the comprehension of the functions managing the interaction of specific insect pests (aphids and weevils) with their direct biological partners (host plants and symbiotic microorganisms). Research approaches are multi-disciplinary thanks to the different expertise of the staff members.

The central theme of our research is to understand the relationships established between insects and their symbionts elucidating the molecular mechanisms that allow the establishment, maintenance and persistence of these complex interactions in multiple insect generations.

The final goal of research on these complex biological interactions, often involving multiple partners in interaction with the environment, is to identify tools and define new concepts for an integrated approach for plant protection against insect pests. Our research results are to be central for the development of agricultural practices that are sustainable, and respect both the environment and human health.

English keywords
symbiosis, insect pests, functional genomics, systems biology
SFBI
Membre de la SFBI

Gnet - IPS2

Acronyme ou nom de la structure
Nom complet (en toutes lettres)
Genomics Networks
Adresse

Equipe Genomic Networks (Gnet)
Paris-Saclay Institute of Plant Sciences (IPS2)
Bâtiment 630, rue de Noetzlin
Plateau du Moulon

91190 - Gif-sur-Yvette

France

Description (English)

The Genomic Networks group develops different Bioinformatic and Biostatistic approaches to infer the biological function of A. thaliana genes and transcriptional regulatory elements. We developped mainly 2 databases (FLAGdb++, CATdb) supporting the IPS2 Transcriptomic platform and projects. These databases are useful for comparative plant genomics and transfer of knowledge from model plant genomes to plants of agronomical interest. Using this tool, we study, in a multidisciplinary project, the transcriptional re-programming that occurs in the A. thaliana response to biotic and abiotic stresses in order to identify novel gene targets and establish networks in the perspective of biotechnological applications or genetic selection for plant stress resistance.

English keywords
Plant Genomics, Transcriptomic, Databases, Sequence annotation, regulatory networks
SFBI
Membre de la SFBI