Data from: The brassinosteroid receptor gene BRI1 safeguards cell-autonomous brassinosteroid signaling across tissues
Data files
Sep 02, 2024 version files 152.85 MB
Abstract
Brassinosteroid signaling is essential for plant growth as exemplified by the dwarf phenotype of loss-of-function mutants in BRASSINOSTEROID INSENSITIVE 1 (BRI1), a ubiquitously expressed Arabidopsis brassinosteroid receptor gene. Complementation of brassinosteroid-blind receptor mutants by BRI1 expression with various tissue-specific promoters implied that local brassinosteroid signaling may instruct growth non-cell-autonomously. Here we performed such rescues with a panel of receptor variants and promoters, in combination with tissue-specific transgene knockouts. Our experiments demonstrate that brassinosteroid receptor expression in several tissues is necessary but not sufficient for rescue. Moreover, complementation with tissue-specific promoters requires the genuine BRI1 gene body sequence, which confers ubiquitous expression of trace receptor amounts that are sufficient to promote brassinosteroid-dependent root growth. Our data, therefore, argue for a largely cell-autonomous action of brassinosteroid receptors.
README: The brassinosteroid receptor gene BRI1 safeguards cell-autonomous brassinosteroid signaling across tissues
https://doi.org/10.5061/dryad.905qfttth
Single cell RNA sequencing (scRNAseq) data obtained from root tips of different Arabidopsis thaliana genotypes were processed as described in the Materials and Methods to obtain gene expression quantifications. The code for processing the data is provided.
Description of the data and file structure
An Excel file with five different sheets: Sheet 1 contains the legend for sheets 2 to 5. Sheet 2 contains the expression analyses of the CVP2::BRI1-CITRINE transgenic line as compared to wild type and bri1 brl1 brl3 triple mutants. Sheet 3 contains an excerpt of Sheet 2, focussed on BRI1-CITRINE and CVP2. Sheet 4 contains the expression analyses of the GL2::BRI1-GFP transgenic line as compared to wild type and bri1 brl1 brl3 triple mutants. Sheet 5 contains an excerpt of Sheet 4, focussed on BRI1-GFP and GL2.
Sharing/Access information
The Code is also available at at https://github.com/tmnolan/BR-Receptors
The raw scRNA-seq data have been deposited at the NCBI GEO (https://www.ncbi.nlm.nih.gov/geo/) under accession GSE212230
Code/Software
The Code provides the pipeline for scRNAseq data processing and analysis as described in detail in the Methods section of the paper.