Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Expression data in Arabidopsis Col-0 with cold acclimation (CA) treatment and subsequent cold deacclimation (DA) treatment.

ABSTRACT: To understand mRNA expression pattern during cold acclimation and deacclimation, transcriptional profiling of cold acclimation and deacclimation-treated plants were analyzed using Agilent-015059 Arabidopsis 3 Oligo Microarray 4x44K G2519F. Arabidopsis Col-0 were grown on MS plate for 2 weeks (16 hours light / 8 hours dark). Two week-old Arabidopsis samples (NA, non acclimation) were treated with cold (2 M-BM-:C) for 7 days (CA7d) under 12h/12h light/dark conditions. Deacclimation-treated samples (DA6h, DA12h, DA24h) were grown at normal growth temperature under long day conditions after cold treatment for 7 days. Then total RNA was prepared from the whole seedling and used for the microarray hybridization. Three replicative hybridization experiments for each array were carried out using the independent biological samples.

ORGANISM(S): Arabidopsis thaliana

SUBMITTER: Motoaki Seki

PROVIDER: E-GEOD-49796 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:During cold acclimation plants increase their freezing tolerance in response to low non-freezing temperatures. This is accompanied by many physiological, biochemical and molecular changes that have been extensively investigated. In addition, many cold acclimated plants become more freezing tolerant during exposure to mild, non-damaging sub-zero temperatures. There is hardly any information available about the molecular basis of this adaptation. However, Arabidopsis thaliana is among the species that acclimate to sub-zero temperatures. This makes it possible to use the molecular and genetic tools available in this species to identify components of sub-zero signal transduction and acclimation. Here, we have used microarrays and a qRT-PCR primer platform covering 1880 genes encoding transcription factors to monitor changes in gene expression in the accessions Columbia-0, Rschew and Tenela during the first three days of sub-zero acclimation at -3°C. The results indicate that gene expression during sub-zero acclimation follows a tighly controlled time-course. Especially AP2/EREBP and WRKY transcription factors may be important regulators of sub-zero acclimation, although the CBF signal transduction pathway seems to be less important during sub-zero than during cold acclimation. Globally, we estimate that approximately 5% of all Arabidopsis genes are regulated during sub-zero acclimation. Particularly photosynthesis-related genes were down-regulated and genes belonging to the functional classes of cell wall biosynthesis, hormone metabolism and RNA regulation of transcription were up-regulated. Collectively, these data provide the first global analysis of gene expression during sub-zero acclimation and allow the identification of candidate genes for forward and reverse genetic studies into the molecular mechanisms of sub-zero acclimation. We used whole genome microarrays to monitor changes in gene expression in the Arabidopsis thaliana accessions Columbia-0, Rschew and Tenela during three days of acclimation to sub-zero temperature at -3°C after cold acclimation Plants from Arabidopsis thaliana accessions Columbia-0, Rschew and Tenela were cold acclimated at 4°C for two weeks. Detached leaves were then sub-zero acclimated at -3°C for 8 h, 1 d or 3 d at -3°C. Leaves of cold acclimated plants and sub-zero acclimated leaves were collected for RNA extraction and hybridization on Affymetrix ATH1 microarrays in order to explore temporal transcriptome changes during sub-zero acclimation. For each sample total RNA was isolated from a pool of three leaves from three different plants. The experiment was performed in three idenpendent biological replicates.

Dataset Information

Expression data in Arabidopsis Col-0 with cold acclimation (CA) treatment and subsequent cold deacclimation (DA) treatment.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets