Omics · study · 2026
A GPS2-like protein interacts with HOS15 and HDA6 to form a repressor complex that regulates ABA signaling and drought adaptation in Arabidopsis
Listed in NCBI GEO
Plants rely on chromatin-mediated transcriptional control to fine-tune stress responses, yet the evolutionary conservation and functional adaptation of repressor complexes remain incompletely understood.
Description
Here, we identify GPS2-like protein (GPL; AT3G47850) as the missing component of the plant equivalent of the animal NR–co-repressor complex. GPL interacts with HOS15, PWR, and HDA6/HDA9 to form a chromatin repressor module that suppresses abscisic acid (ABA)–responsive genes.
Loss-of-function gpl-mutants exhibit ABA hypersensitivity and enhanced drought tolerance, while overexpression confers ABA insensitivity. Mechanistically, GPL promotes histone H3K9 deacetylation and dimethylation at stress-responsive loci and stabilizes HOS15 to ensure its nuclear retention. Global RNA-seq revealed widespread de-repression of ABA-responsive transcriptional networks in gpl-mutants.
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Under stress, ABA destabilizes the GPL–HOS15 complex, releasing repression and activating defense genes. These findings establish GPL as the plant homolog of GPS2 and reveal that the GPL–HOS15 repressor complex acts as a chromatin-mediated rheostat to dynamically balance growth and drought adaptation. Our work provides mechanistic insight into stress-responsive chromatin remodeling and identifies GPL as a potential target for engineering climate-resilient crops
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE326nnn/GSE326317 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE326317 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1445092 ncbi.nlm.nih.gov/bioproject/PRJNA1445092 ↗
project · from NCBI GEO
- PubMed 41935950 pubmed.ncbi.nlm.nih.gov/41935950 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Arabidopsis thaliana · Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Biochemistry and cell biology 69% · RNA sequencing 65%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE326317 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].anzsrc:group:3101 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (69%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[organism].NCBITaxon:3702 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |