AraDiv: A dataset of functional traits and leaf hyperspectral reflectance of Arabidopsis thaliana

Przybylska Stefania, Violle Cyrille, Vile Denis, Scheepens J.F., Lacombe Benoit, Le Roux Xavier, Perrier Lisa, Sales-Mabily Lou, Laumond Mariette, Vinyeta Mariona, Moulin Pierre, Beurier Grégory, Rouan Lauriane, Cornet Denis, Vasseur François. 2023. AraDiv: A dataset of functional traits and leaf hyperspectral reflectance of Arabidopsis thaliana. Scientific Data, 10:314, 8 p.

https://doi.org/10.1038/s41597-023-02189-w

Article de revue ; Data paper ; Article de revue à facteur d'impact Revue en libre accès total

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Url - jeu de données - Entrepôt autre : https://doi.org/10.48579/PRO/SW1OQD

Résumé : Data from functional trait databases have been increasingly used to address questions related to plant diversity and trait-environment relationships. However, such databases provide intraspecific data that combine individual records obtained from distinct populations at different sites and, hence, environmental conditions. This prevents distinguishing sources of variation (e.g., genetic-based variation vs. phenotypic plasticity), a necessary condition to test for adaptive processes and other determinants of plant phenotypic diversity. Consequently, individual traits measured under common growing conditions and encompassing within-species variation across the occupied geographic range have the potential to leverage trait databases with valuable data for functional and evolutionary ecology. Here, we recorded 16 functional traits and leaf hyperspectral reflectance (NIRS) data for 721 widely distributed Arabidopsis thaliana natural accessions grown in a common garden experiment. These data records, together with meteorological variables obtained during the experiment, were assembled to create the AraDiv dataset. AraDiv is a comprehensive dataset of A. thaliana's intraspecific variability that can be explored to address questions at the interface of genetics and ecology.

Mots-clés Agrovoc : Arabidopsis thaliana, phénotype, banque de données, spectroscopie infrarouge, Arabidopsis, facteur du milieu, variation génétique, plasticité phénotypique, évolution, distribution géographique, feuille, écologie, Réflectance, variation phénotypique

Mots-clés géographiques Agrovoc : France

Mots-clés libres : Ecophysiology, Evolutionary ecology, Evolutionary genetics, Plant ecology, Plant evolution

Classification Agris : F40 - Écologie végétale
F30 - Génétique et amélioration des plantes
U10 - Informatique, mathématiques et statistiques

Champ stratégique Cirad : CTS 1 (2019-) - Biodiversité

Agences de financement européennes : European Research Council

Agences de financement hors UE : Agence Nationale de la Recherche, Deutsche Forschungsgemeinschaft

Programme de financement européen : H2020

Projets sur financement : (FRA) Exploration des réponses évolutives des plantes à des changements environnementaux à la lumière des théories écologiques : un test expérimental chez l'espèce modèle Arabidopsis thaliana, (EU) Ecophysiological and biophysical constraints on domestication in crop plants, (EU) Elucidating the phenotypic determinants of hybrid vigour

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