Omics · study · 2026
Integrated genomic and functional analyses identify FaNAC6 as a candidate regulator of drought and salinity responses in strawberry
Listed in NCBI GEO
NAC proteins are a large family of plant transcription factors that play a key role in growth, development and responses to abiotic stress (drought, salinity).
Description
Various genomic studies across several species have identified NAC genes with specific responses to cold, drought and salinity. This study conducts a comprehensive genomic and transcriptomic analysis of FaNAC genes in strawberry (Fragaria × ananassa) to elucidate their role in response to drought and salinity.
Using RNA-seq and validation by qRT-PCR, 35 FaNAC genes were identi-fied that showed differential expression under both stress conditions. Their expression profiles were highly specific to tissue and stimulus type: some were induced in leaves and roots under both conditions, whilst others showed restricted induction. This sug-gests a specialised regulatory network rather than a uniform response.
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Phylogenet-ically, the FaNAC genes showed high homology with Arabidopsis orthologues and con-served collinearity between subgenomes, indicating gene duplication and functional diversification. The promoters contained cis-elements associated with hormones and stress, particularly ABA and MeJA. FaNAC6 was selected for its strong induction in leaves and roots in response to drought and salinity, as well as under oxidative stress and ABA.
Its overexpression in Nicotiana benthamiana increased stress tolerance, im-proving photosynthesis and water-use efficiency, and activating genes involved in photosystems, electron transport and carbon fixation. Overall, FaNAC6 emerges as a promising candidate for breeding strategies to improve strawberry drought and salin-ity resilience.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE342nnn/GSE342180 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE342180 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1506478 ncbi.nlm.nih.gov/bioproject/PRJNA1506478 ↗
project · from NCBI GEO
- PubMed 42653356 pubmed.ncbi.nlm.nih.gov/42653356 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Genetics 69% · RNA sequencing 65%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE342180 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].anzsrc:group:3105 | 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%) |
| 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 |