Raw physiological data describing 5 accessions' response to combined water and nitrogen mild stress in Arabidopsis thaliana (Xue, Loudet et al.)

DOI

This dataset corresponds to 1 of 4 datasets produced by Z. Xue, O. Loudet et al. at IJPB (INRAE Versailles-Saclay) to describe the response of 5 Arabidopsis thaliana accessions ('Genotype') to mild water and nitrogen deficiencies and their combination. Plants were grown on the Phenoscope robots at IJPB under different 'Conditions' (W+N+ = control condition; W-N+ = mild drought; W+N- = N deficiency; W-N- = combined drought and N deficiency) for 31 days after sowing (DAS) and sampled at this date. 3 to 5 rosettes from one modality were pooled to constitute one sample. Each row is a sample from one of the 2 independent biological replicates ('Experiment'). Traits estimated are nitrate content, water content (%), several elemental analysis parameters (%C, %N, abundance 'AT' and isotopic discrimination 'd' for 15N/14N and for 13C/12C) and derived traits (Total N and Total C per rosette). Corresponding phenotypic (rosette growth) raw data have been deposited in 'INRAE DataVerse' under accession number DOI:10.57745/E8XYSG. Corresponding transcriptomics raw data have been deposited in 'NCBI GEO' under accession number GSE206890. Corresponding metabolomics raw data have been deposited in 'Metabolomics Workbench' under accession number ST002201. This data is analysed in a paper published in The Plant Cell in 2024 (Xue et al.).

Identifier
DOI https://doi.org/10.57745/GJZFNS
Related Identifier IsCitedBy https://doi.org/10.1093/plcell/koae173
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/GJZFNS
Provenance
Creator Loudet, Olivier ORCID logo
Publisher Recherche Data Gouv
Contributor Loudet, Olivier; Entrepôt-Catalogue Recherche Data Gouv
Publication Year 2024
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Loudet, Olivier (INRAE)
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 26388
Version 1.1
Discipline Agriculture, Forestry, Horticulture; Life Sciences; Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Medicine