Omics · study · 2026
Integrated transcriptome-metabolome analyses reveal regulatory networks underlying soluble solids accumulation in Capsicum chinense fruits
Listed in NCBI GEO
The Capsicum genus shows remarkable phenotypic diversity, making it an excellent system to study non-climacteric fruit ripening.
Description
Unlike climacteric model species, such as tomato (Solanum lycopersicum), the regulatory networks linking transcriptome and metabolome to fruit quality traits remain poorly understood in non-climacteric crop species. To address this gap, we selected four contrasting C. chinense accessions and performed integrated transcriptomic and metabolomic analyses to investigate the regulation of total soluble solids (TSS) accumulation.
We profiled 16,922 genes and 63 metabolic features across two fruit developmental stages (immature and mature), including sugars, organic acids, capsaicinoids, and other secondary metabolites. We identified more than 3,800 differentially expressed genes and detected strong correlations between gene expression and metabolite levels. Some metabolites, including chlorophylls, carotenoids, and starch, showed consistent temporal trends across genotypes, while others showed genotype-dependent variation.
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Our results demonstrate that pepper fruit ripening involves a transcriptional shift toward soluble sugar accumulation, characterized by upregulation of starch-hydrolyzing enzymes (CaAMY1/2, CaBAM1), invertases (CaINV1, CaCWINV3), sucrose synthase (CaSUS2), and the sugar transporter CaSWEET10, alongside downregulation of the starch biosynthetic gene CaSBE1. Among these, CaSUS2, CaSWEET10 and CaBAM1 emerged as key candidate regulators.
These results suggest that coordinated starch degradation and sucrose transport primarily drive TSS increase, while secondary metabolism undergoes substantial changes during ripening but does not appear to be a major contributor to this process.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE326nnn/GSE326045 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE326045 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1442300 ncbi.nlm.nih.gov/bioproject/PRJNA1442300 ↗
project · from NCBI GEO
- PubMed 42423421 pubmed.ncbi.nlm.nih.gov/42423421 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Evolutionary biology 68%
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE326045 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].anzsrc:group:3104 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (68%) |
| 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 |
| 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 |