Maize Stalk Transcriptome and Metabolome Data for Two Varieties at Two Planting Densities

39,757 differentially expressed genes were identified from transcriptome analysis of maize stalk samples. The dataset combines targeted metabolomics and transcriptomics data from two maize varieties (M1 B12 and M2 J1590) at two planting densities (105,000 and 135,000 plants per hectare) during two growth stages, created by Shuqi Ding and shared under CC-BY-4.0 in May 2026. It elucidates sugar metabolism regulatory networks in response to planting density.

Use Cases

• Identify candidate genes for lodging resistance based on sugar metabolism-related differentially expressed genes.
• Analyze gene expression patterns influenced by variety, planting density, and growth stage.
• Construct regulatory networks for sugar metabolism using weighted gene co-expression modules.
• Compare metabolite profiles, such as sucrose and glucose content, under different agronomic conditions.

Strengths

• Includes data from two distinct maize varieties and two planting densities, allowing for comparative analysis.
• Combines two omics layers—targeted metabolomics and transcriptomics—for integrated insights.
• Analyzes samples from two key growth stages (tasselling and grain filling), capturing temporal dynamics.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• The dataset is small (532.0 KB), indicating limited scope or summary-level data.

Provenance

Source

figshare

Collection Method

Targeted metabolomics and transcriptomics analyses performed on collected stem samples, combined with bioinformatics methods.

Time Range

Samples collected during the tasselling stage and grain filling stage.

Freshness

Last updated 2026-05-08 05:52:08; freshness should be verified.

Geography

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