TgZFP9–TgSBP3 and TgDOF5.4–TgPDH Regulatory Networks Drive Photosynthate Allocation to Oil

Transcriptomic and metabolic data from two cultivars of the gymnosperm Torreya grandis, Xifei (high-oil) and Zhenzhufei (low-oil). The dataset includes results from ¹³C tracing, seed-thinning experiments, and gene coexpression network analysis to study oil biosynthesis. It was created by Jinwei Suo and last updated on 2026-05-16.

Use Cases

• Identify key regulatory genes for oil accumulation based on transcriptome sequencing and coexpression analysis.
• Model carbon partitioning in seeds based on ¹³C tracing and carbohydrate mobilization data.
• Validate transcription factor targets for oil content regulation based on dual-luciferase and DNA-protein binding assays.
• Compare molecular mechanisms between high-oil and low-oil cultivars of Torreya grandis.

Strengths

• Includes experimental validation via transient overexpression and silencing of identified core genes.
• Compares two distinct cultivars (Xifei and Zhenzhufei) with differing oil content.
• Combines multiple analysis methods: ¹³C tracing, transcriptomics, and gene coexpression networks.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the specific cultivars and experimental conditions studied.

Provenance

Source

figshare

Collection Method

Transcriptome sequencing, weighted gene coexpression network analysis, ¹³C tracing, and molecular validation assays.

Freshness

Last updated 2026-05-16 03:43:32; freshness should be verified.