Rice Flag Leaf Photosynthesis Genomic Associations from 181 Accessions

A genomic dataset integrates photosynthetic measurements from 181 diverse rice accessions with 3.7 million SNP markers. It identifies 18 putative quantitative trait nucleotides (QTNs) and 43 candidate genes associated with photosynthesis, including genes for stomatal regulation and sugar transport. The data was published by author Awais Riaz on figshare in 2026 under a CC-BY-4.0 license.

Use Cases

• Identify candidate genes for photosynthesis based on GWAS results from three statistical models (MLMM, FarmCPU, BLINK).
• Perform genomic prediction for photosynthetic performance using the 44 common SNPs identified across GWAS, RRB, and BTS models.
• Study phenotypic variation in light response (A/Q) and carbon dioxide response (A/Ci) curves across diverse rice subpopulations.
• Analyze haplotype patterns for the 43 fine-mapped genes, including signaling, regulatory, and transport components.

Strengths

• Includes data from 181 diverse rice accessions representing six subpopulations, providing genetic breadth.
• Uses 3.7 million high-quality SNP markers for genome-wide association studies.
• Identifies 18 putative QTNs with LOD scores ≥ 8.0 and 43 candidate genes through fine mapping.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (31.2 KB), indicating limited scope, likely containing summary results rather than raw phenotypic or genotypic data.

Provenance

Source

figshare

Collection Method

Data likely generated from controlled environment experiments measuring flag leaf photosynthesis at the booting stage, integrated with genome-wide association studies.

Freshness

Last updated 2026-04-23 05:36:33; freshness should be verified.