Omics · study · 2026
The genetic architecture of leaf vein density and its importance for photosynthesis in maize
Listed in NCBI GEO
Leaf venation density has significantly increased during plant evolution.
Description
For example, higher vein density is observed in angiosperms compared to early land plants, and among angiosperms, recently diverged C4 species typically have the highest values. This adaptation has allowed plant leaves to increase water conductance, transpiration and possibly photosynthesis, although the relationship between vein density and photosynthetic efficiency has not been clearly established.
The genetic architecture of vein density is still not well characterized. Using diverse native varieties of maize, a C4 plant adapted to a wide range of environmental conditions, we show that vein density is variable and plastic. We leverage this plasticity to show that higher densities are correlated with higher photosynthetic rates, but only for small intermediate veins.
Read the rest (1 more)
Moreover, we find that varieties adapted to drier environments can substantially increase vein density in response to heat, suggesting a role in water use efficiency in hot environments. Finally, using a MAGIC population, we mapped 12 QTLs associated with vein architecture traits and identified a short list of candidate genes associated with small intermediate vein development. These findings have implications for understanding vein architecture evolution, particularly that of C4 plants, which have significantly higher photosynthetic efficiency and productivity under warm and dry conditions.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE314nnn/GSE314465 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE314465 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1391363 ncbi.nlm.nih.gov/bioproject/PRJNA1391363 ↗
project · from NCBI GEO
- PubMed 42231612 pubmed.ncbi.nlm.nih.gov/42231612 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE314465 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| 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 |