DUSSARRAT, Thomas; PRIGENT, Sylvain; LATORRE, Claudio; BERNILLON, Stéphane; FLANDIN, Amélie; DÍAZ, Francisca; CASSAN, Cédric; VAN DELFT, Pierre; JACOB, Daniel; VARALA, Kranthi; JOUBES, Jérôme; GIBON, Yves; ROLIN, Dominique; GUTIÉRREZ, Rodrigo; PÉTRIACQ, Pierre

doi:10.1111/nph.18095

Métadonnées

Afficher la notice complète

Licence d’utilisation du document

DUSSARRAT, Thomas
Pontificia Universidad Católica de Chile [UC]
Biologie du fruit et pathologie [BFP]

PRIGENT, Sylvain
Biologie du fruit et pathologie [BFP]
Plateforme Bordeaux Metabolome

LATORRE, Claudio
Pontificia Universidad Católica de Chile [UC]

Langue

Article de revue

Ce document a été publié dans

New Phytologist. 2022, vol. 234, n° 5, p. 1614-1628

Wiley

Résumé en anglais

Current crop yield of the best ideotypes is stagnating and threatened by climate change. In this scenario, understanding wild plant adaptations in extreme ecosystems offers an opportunity to learn about new mechanisms for resilience. Previous studies have shown species specificity for metabolites involved in plant adaptation to harsh environments. ●Here, we combined multi-species ecological metabolomics and machine learning-based generalised linear model predictions to link the metabolome to the plant environment in a set of 24 species and belonging to 14 families growing along an altitudinal gradient in the Atacama Desert. ●Thirty-nine common compounds predicted the plant environment with 79% accuracy, thus establishing the plant metabolome as an excellent integrative predictor of environmental fluctuations. These metabolites were independent of the species and validated both statistically and biologically using an independent dataset from a different sampling year. Thereafter, using multiblock predictive regressions, metabolites were linked to climatic and edaphic stressors like freezing temperature, water deficit and high solar irradiance. ●These findings indicate that plants from different evolutionary trajectories use a generic metabolic toolkit to face extreme environments. These core metabolites, also present in agronomic species, provide a unique metabolic goldmine for improving crop performances under abiotic pressure.< Réduire

Mots clés en anglais

predictive metabolomics

plant metabolism

multiple species

extreme environments

adaptation

DOI

http://dx.doi.org/10.1111/nph.18095

Project ANR

Développement d'une infrastructure française distribuée pour la métabolomique dédiée à l'innovation - ANR-11-INBS-0010
Centre français de phénomique végétale

Origine

Importé de hal