Predictive metabolomics of multiple Atacama plant species unveils a core set of generic metabolites for extreme climate resilience

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dc.contributor.authorDussarrat, Thomas
dc.contributor.authorPrigent, Sylvain
dc.contributor.authorLatorre, Claudio
dc.contributor.authorBernillon, Stephane
dc.contributor.authorFlandin, Amelie
dc.contributor.authorDiaz, Francisca P.
dc.contributor.authorCassan, Cedric
dc.contributor.authorVan Delft, Pierre
dc.contributor.authorJacob, Daniel
dc.contributor.authorVarala, Kranthi
dc.contributor.authorJoubes, Jerome
dc.contributor.authorGibon, Yves
dc.contributor.authorRolin, Dominique
dc.contributor.authorGutierrez, Rodrigo A.
dc.contributor.authorPetriacq, Pierre
dc.date.accessioned2025-01-20T21:10:35Z
dc.date.available2025-01-20T21:10:35Z
dc.date.issued2022
dc.description.abstractCurrent 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 multispecies ecological metabolomics and machine learning-based generalized linear model predictions to link the metabolome to the plant environment in a set of 24 species 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 such as 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.
dc.fuente.origenWOS
dc.identifier.doi10.1111/nph.18095
dc.identifier.eissn1469-8137
dc.identifier.issn0028-646X
dc.identifier.urihttps://doi.org/10.1111/nph.18095
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/93583
dc.identifier.wosidWOS:000777946300001
dc.issue.numero5
dc.language.isoen
dc.pagina.final1628
dc.pagina.inicio1614
dc.revistaNew phytologist
dc.rightsacceso restringido
dc.subjectadaptation
dc.subjectextreme environments
dc.subjectmultiple species
dc.subjectplant metabolism
dc.subjectpredictive metabolomics
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titlePredictive metabolomics of multiple Atacama plant species unveils a core set of generic metabolites for extreme climate resilience
dc.typeartículo
dc.volumen234
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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