Integrated Transcriptomic and Metabolomic Profiles for Maize Kernel Color Variation

Junhao Ran's dataset integrates metabolomic and transcriptomic analyses of three maize inbred lines with distinct kernel colors: yellow, red, and purple. It contains data on 1,845 differentially accumulated metabolites and differentially expressed genes, including 22 structural genes and 101 transcriptional regulators. The dataset was last updated on May 13, 2026.

Use Cases

• Identify candidate genes for anthocyanin biosynthesis based on coordinated upregulation patterns mentioned in the description.
• Analyze genotype-specific divergence in anthocyanin decorative modifications (e.g., malonylation vs. rutinosylation) described in the study.
• Build predictive models of kernel pigmentation based on integrated metabolite and gene expression profiles.
• Validate potential gene-metabolite networks involving MYB and bHLH transcription factors identified in the analysis.

Strengths

• Integrated multi-omics data from metabolomic and transcriptomic analyses of three distinct genotypes.
• Identifies 1,845 differentially accumulated metabolites and a set of 22 structural genes and 101 transcriptional regulators.
• Provides a specific biochemical basis for color variation, detailing specialized modifications like malonylation in Purple-K and rutinosylation in Red-K.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset's scope is limited to three specific maize inbred lines, which may not generalize to other varieties.

Provenance

Source

Junhao Ran via figshare.

Collection Method

Integrated metabolomic and transcriptomic profiling of three maize inbred lines (Yellow-K, Red-K, Purple-K).

Freshness

Last updated 2026-05-13 05:56:24; freshness should be verified.