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IVES 9 IVES Conference Series 9 WAC 9 WAC 2022 9 1 - WAC - Posters 9 Mining terroir influence on bioactive polyphenols from grape stems: A correlation-network-driven approach to spatialize metabolomics data

Mining terroir influence on bioactive polyphenols from grape stems: A correlation-network-driven approach to spatialize metabolomics data

Abstract

In viticulture, the concept of terroir is often used to enlighten the environmental-based typicity of grapevines grown in a local area however its scientific basis remains under debate. Grape polyphenols as key player of the plant defense system enables adaptation to environmental changes and so far, form a unique metabolic component to investigate the terroir influence. Using correlation-based networks and spatial metabolomics we investigated how continuous changes of soil properties may impact the polyphenol composition within a single grape clone. In a vineyard parcel covering four different geological layers and planted with a unique clone of Cabernet Franc, the soil texture was analyzed at 30 georeferenced points with a spatial coverage sampling strategy. Grape stems were harvested at corresponding positions over 3 consecutive years followed by UPLC-DAD-MS-based metabolomic analysis targeted on 43 metabolites including flavonoids, phenolic acids, procyanidins and stilbenoids. Principal component analyses on intra-vintage data presented good reproducibility. A correlation-driven approach was used to select co-varying metabolites before using Geographic Information System (GIS). As results, flavonoids and stilbenoid DP4 were spatialized according to soil granulometry, with stilbenoid DP4 over-accumulating in loamy-silty soils and flavonoids in sandy soils. The present study highlights soil-based terroir influence on polyphenols in a continuous space. Spatial metabolomics driven by correlation-based networks represents a powerful approach to spatialize field-omics data and may serve as new field-phenotyping tool in precision agriculture.

DOI:

Publication date: June 9, 2022

Issue: WAC 2022

Type: Article

Authors

Arnaud Lanoue, Kévin Billet, , Sébastien Salvador-Blanes, Thomas Dugé de Bernonville, Guillaume Delanoue, Florent Hinschberger, Audrey Oudin, Vincent Courdavault, Olivier Pichon, Sébastien Besseau, Samuel Leturcq, Nathalie Giglioli-Guivarc’h, Arnaud Lanoue

Presenting author

Arnaud Lanoue – EA 2106 Biomolécules et Biotechnologies Végétales, UFR des Sciences Pharmaceutiques, Université de Tours

Institut Français de la Vigne et du Vin, Tours | GéoHydrosystèmes Continentaux (GéHCO), EA 6293, Université de Tours | Laboratoire CITERES, Equipe Laboratoire Archéologie et Territoires (LAT), UMR 7324 CNRS, Université de Tours| EA 2106 Biomolécules et Biotechnologies Végétales, UFR des Sciences Pharmaceutiques, Université de Tours

Contact the author

Keywords

Terroir – metabolomics – grape polyphenols – Geographic Information System – correlation network

Tags

IVES Conference Series | WAC 2022

Citation

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Cohen, Y., Gogumalla, P., Bahat, I., Netzer, Y., Ben-Gal, A., Lenski, I., … Helman, D. (2019). Can time series of multispectral satellite images be used to estimate stem water potential in vineyards? In Precision agriculture ’19, The Netherlands: Wageningen Academic Publishers, pp. 445–451.
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