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Series GSE158898 Query DataSets for GSE158898
Status Public on Apr 01, 2021
Title The impact of the genes BBX32 and HY5 on the high light - responsive transcriptome of Arabidopsis thaliana
Organism Arabidopsis thaliana
Experiment type Expression profiling by high throughput sequencing
Summary Exposure of mature fully expanded leaves of Arabidopsis to a 7.5 fold increased light intensity above growth light conditions (high light; HL) tirggers stress defensive responses but also initiates cellular processes, that if such conditions persist, can lead to increased photosynthetic capacity. This process is called dynamic acclimation. By using variational Bayesian state space modelling on eariler GEO deposited time series HL data (see GSE78251) a gene regulatory network of (co) transcription factor genes was inferred. The most connected gene in this network is BBX32, which was subequently shown to be a negative regulator of dynamic acclimation. Also present in the inferred network is HY5, which is known from studies on seedling photomorphogenesis to be antagonistic in its action to BBX32. Subsequently, it was demonstrated that HY5 is indeed a positive regulator of dynamic acclimation. This RNAseq-based study seeks to provide gene expression data that will help to link the immediate impact of these genes on the HL transcriptome to the longer term (several days) physiological manifestation of dynamic acclimation.
 
Overall design Arabidopsis thaliana (genotype Col-0) that over-express BBX32 (BBX32-10; Holtan et al. (2011) Plant Physiology 156: 2109-2123) and are null for HY5 (hy5-2; Ruckle et al. (2007) Plant Cell 19: 3944-3960) produce the same degree of inhibition of the quantum efficiency of photosynthetic elecron transport upon sustained expsure to HL, both genotypes failing to undergo dynamic acclimation. Therefore, similar cohorts of genes may be affected in short term HL exposure. Therefore, plants were exposed to HL for 3.5h and then sampled for RNA from their fully expanded leaves. low light control samples were to be run in parallel. The duration of the HL exposure was chosen because based on time sereis daat most inductio of differential expression of genes was completed after this time. These data allow for the initial validation of the gene regulatory network centred on BBX32 (as well as future iterations and variations of this network), but will also, with further analysis yet to be done, allow the identification of key genes downstream from BBX32 and HY5 that control both initial responses to HL and the establishment of dynamic acclimation.
 
Contributor(s) Stallard EJ, Mullineaux PM, Exposito-Rodriguez M, Obomighie I
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Submission date Oct 01, 2020
Last update date Apr 01, 2021
Contact name Ellie Jane Stallard
E-mail(s) ellie.stallard@essex.ac.uk
Organization name University of Essex
Department School of Life Sciences
Lab 3SW.4.19
Street address University of Essex
City Colchester
State/province Essex
ZIP/Postal code CO4 3SQ
Country United Kingdom
 
Platforms (1)
GPL26208 Illumina NovaSeq 6000 (Arabidopsis thaliana)
Samples (24)
GSM4815441 ESSEX HL 1 (COL0_1)
GSM4815442 ESSEX HL 2 (COL0_2)
GSM4815443 ESSEX HL 3 (COL0_3)
Relations
BioProject PRJNA666917
SRA SRP286047

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE158898_genes.FPKM.annot.txt.gz 5.6 Mb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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