Browsing by Author "Flandin, Amelie"

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    Ecological and metabolic implications of the nurse effect of Maihueniopsis camachoi in the Atacama Desert
    (2024) Diaz, Francisca P.; Dussarrat, Thomas; Carrasco-Puga, Gabriela; Colombie, Sophie; Prigent, Sylvain; Decros, Guillaume; Bernillon, Stephane; Cassan, Cedric; Flandin, Amelie; Guerrero, Pablo C.; Gibon, Yves; Rolin, Dominique; Cavieres, Lohengrin A.; Petriacq, Pierre; Latorre, Claudio; Gutierrez, Rodrigo A.
    Plant-plant positive interactions are key drivers of community structure. Yet, the underlying molecular mechanisms of facilitation processes remain unexplored. We investigated the 'nursing' effect of Maihueniopsis camachoi, a cactus that thrives in the Atacama Desert between c. 2800 and 3800 m above sea level. We hypothesised that an important protective factor is thermal amelioration of less cold-tolerant species with a corresponding impact on molecular phenotypes.To test this hypothesis, we compared plant cover and temperatures within the cactus foliage with open areas and modelled the effect of temperatures on plant distribution. We combined eco-metabolomics and machine learning to test the molecular consequences of this association.Multiple species benefited from the interaction with M. camachoi. A conspicuous example was the extended distribution of Atriplex imbricata to colder elevations in association with M. camachoi (400 m higher as compared to plants in open areas). Metabolomics identified 93 biochemical markers predicting the interaction status of A. imbricata with 79% accuracy, independently of year.These findings place M. camachoi as a key species in Atacama plant communities, driving local biodiversity with an impact on molecular phenotypes of nursed species. Our results support the stress-gradient hypothesis and provide pioneer insights into the metabolic consequences of facilitation.
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    Predictive metabolomics of multiple Atacama plant species unveils a core set of generic metabolites for extreme climate resilience
    (2022) Dussarrat, Thomas; Prigent, Sylvain; Latorre, Claudio; Bernillon, Stephane; Flandin, Amelie; Diaz, Francisca P.; Cassan, Cedric; Van Delft, Pierre; Jacob, Daniel; Varala, Kranthi; Joubes, Jerome; Gibon, Yves; Rolin, Dominique; Gutierrez, Rodrigo A.; Petriacq, Pierre
    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 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.