Data Sheet 1_Integrated metabolomic and transcriptomic analysis of anthocyanin accumulatio

A multi-omics dataset from figshare, created by Chao Jiang and last updated on 2026-05 31. It contains metabolomic and transcriptomic profiles from four fresh-eating maize cultivars with contrasting kernel colors (white, yellow, multicolored, black). The data was generated to investigate the molecular mechanisms underlying anthocyanin pigment accumulation.

Use Cases

• Identify candidate genes for anthocyanin biosynthesis based on differential expression analysis among four cultivars.
• Correlate metabolite abundance with gene expression patterns to understand regulatory networks in maize kernels.
• Perform weighted gene co-expression network analysis (WGCNA) to discover hub regulators of pigmentation.
• Validate the role of specific transcription factors (e.g., MYB, bHLH, NAC) and structural genes (e.g., DFR) in anthocyanin production.

Strengths

• Integrated multi-omics approach combining metabolomic (49 anthocyanin-related metabolites) and transcriptomic (12,557 differentially expressed genes) data.
• Comparative analysis across four distinct maize cultivars (white, yellow, multicolored, black) provides biological contrast.
• Data is shared under a permissive CC-BY-4.0 license, facilitating reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain analyses.
• The dataset is relatively small at 13.1 MB, which may indicate limited sample depth or feature scope.

Provenance

Source

figshare, author Chao Jiang.

Collection Method

Metabolomic profiling and transcriptomic analysis performed on four maize cultivars at different developmental stages.

Time Range

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Freshness

Last updated 2026-05-31 22:01:12; freshness should be verified.

Geography

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