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INSTITUT NATIONAL DE LA RECHERCHE AGRONOMIQUE

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Country: France

INSTITUT NATIONAL DE LA RECHERCHE AGRONOMIQUE

222 Projects, page 1 of 45

  • GENOSOME

    assignment_turned_inProjectFrom 2005Partners:INSTITUT NATIONAL DE LA RECHERCHE AGRONOMIQUE
    Funder: French National Research Agency (ANR) Project Code: ANR-05-GPLA-0009
    Funder Contribution: 46,083 EUR
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  • DNV (DNV :Natural variation for drought tolerance : from QTL for targeted traits to functional polymorphisms)

    assignment_turned_inProjectFrom 2007Partners:INSTITUT NATIONAL DE LA RECHERCHE AGRONOMIQUE
    Funder: French National Research Agency (ANR) Project Code: ANR-06-GPLA-0002
    Funder Contribution: 408,370 EUR
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  • GenOvul

    assignment_turned_inProjectFrom 2006Partners:INSTITUT NATIONAL DE LA RECHERCHE AGRONOMIQUE
    Funder: French National Research Agency (ANR) Project Code: ANR-05-GANI-0001
    Funder Contribution: 100,000 EUR
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  • GENOMA

    assignment_turned_inProjectFrom 2006Partners:INSTITUT NATIONAL DE LA RECHERCHE AGRONOMIQUE
    Funder: French National Research Agency (ANR) Project Code: ANR-05-GANI-0013
    Funder Contribution: 85,000 EUR
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  • GENTMETFRUQUAL (Genomic and metabolomic exploration of natural variability of fruit developpement and quality in tomato (GENTMETFRUQUAL))

    assignment_turned_inProjectFrom 2005Partners:INSTITUT NATIONAL DE LA RECHERCHE AGRONOMIQUE
    Funder: French National Research Agency (ANR) Project Code: ANR-05-GPLA-0003
    Funder Contribution: 37,500 EUR

    Because of their original composition of micronutrients and fibers known to have positive effects on human health, the consumption of fresh or processed fruit and vegetables has significantly increased over the last decade. Tomato is the model system for studying fleshy fruit in addition of being a bridging species for Solanaceae research. Taking advantage of the availability of a wide range of biological resources on the tomato, this project combines genomic, metabolomic and reverse genetic approaches to unravel the molecular mechanisms of fruit development. By implementing high throughput analysis technologies, together with bioinformatic tools, to analyse fruit development and ripening, this project is primarily targeted to identify signaling pathways controlling these processes. These genome-wide technologies will be applied to analyse either natural variants (recombinant inbred lines, introgression lines, cultivars) or specifically designed transgenic lines affected in hormone signalling to reveal underlying networks of interactions between the different pathways leading to the build up of fruit quality traits. The project will provide new understanding of the fruit developmental program and especially those aspects related to external quality, as well as nutritional and flavor characteristics. Ultimately, it is envisaged that many of the key genes characterized during this functional analysis will become the target for future studies and crop improvement strategies.

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