PHENOPSIS DB: an Information System for Arabidopsis thaliana phenotypic data in an environmental context

Juliette Fabre (1) , Myriam Dauzat (1) , Vincent Negre (1) , Nathalie Wuyts (1) , Anne Tireau (2) , Emilie Gennari (2) , Pascal Neveu (2) , Sebastien Tisne (3) , Catherine Massonnet (1) , Irène Hummel (4) , Christine Granier (1)

1 LEPSE - Écophysiologie des Plantes sous Stress environnementaux
2 MISTEA - Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie
3 IJPB - Institut Jean-Pierre Bourgin
4 EEF - Ecologie et Ecophysiologie Forestières [devient SILVA en 2018]

Renewed interest in plant × environment interactions has risen in the post-genomic era. In this context, high-throughput phenotyping platforms have been developed to create reproducible environmental scenarios in which the phenotypic responses of multiple genotypes can be analysed in a reproducible way. These platforms benefit hugely from the development of suitable databases for storage, sharing and analysis of the large amount of data collected. In the model plant Arabidopsis thaliana, most databases available to the scientific community contain data related to genetic and molecular biology and are characterised by an inadequacy in the description of plant developmental stages and experimental metadata such as environmental conditions. Our goal was to develop a comprehensive information system for sharing of the data collected in PHENOPSIS, an automated platform for Arabidopsis thaliana phenotyping, with the scientific community

Mots clés: PHENOTYPIC DATA; ARABIDOPSIS THALIANA; FLOWERING PLANT; MICROARRAY; DROUGHT; LEAF; STANDARDS; GROWTH; GENES; AREA; BIOLOGIE MOLECULAIRE; CYCLE DE VIE COURT; ORGANISME MODELE

Domaines: Biologie végétale

Juliette Fabre, Myriam Dauzat, Vincent Negre, Nathalie Wuyts, Anne Tireau, et al.. PHENOPSIS DB: an Information System for Arabidopsis thaliana phenotypic data in an environmental context. BMC Plant Biology, 2011, 11 (77), pp.1-7. ⟨10.1186/1471-2229-11-77⟩. ⟨hal-01018993⟩