Alfalfa Flower Pigment and Gene Expression Profiles

Integrated metabolomic and transcriptomic data profiles five alfalfa flower types (white and four purple shades). The analysis identified 580 common significant differentially expressed genes (CSDEGs) and quantified key anthocyanin pigments like delphinidin-3,5-O-diglucoside. The dataset, authored by Hongqi Du and shared in 2026, supports research into the genetic and biochemical mechanisms of flower color variation.

Use Cases

• Correlate expression levels of 580 CSDEGs, including 24 transcription factors like MYB and bHLH, with anthocyanin content across five flower types.
• Model the relationship between the ratio of blue to red pigments and the expression of candidate genes such as MSTRG.59017 and MSTRG.14861.
• Analyze trends in delphinidin-3,5-O-diglucoside and malvidin-3,5-O-diglucoside accumulation across the ZH1 to ZH4 purple flower gradient.
• Investigate the role of genes involved in pigment synthesis, transport, and deposition identified within the CSDEGs for plant breeding applications.

Strengths

• Integrated multi-omics data linking 580 common significant differentially expressed genes (CSDEGs) to specific anthocyanin metabolites.
• Profiles five distinct biological samples: one white and four purple flower types representing a color gradient.
• Clear license (CC BY 4.0) and recent update in 2026, indicating modern research provenance.

Limitations

• Very small data scale at 22.6 KB, suggesting it is a summary or processed results table, not raw sequencing data.
• Sample size is limited to five flower types from a single species, restricting generalizability.
• Column structure and row count are unknown, complicating assessment of its direct usability for machine learning.

Provenance

Source

Figshare, authored by Hongqi Du.

Collection Method

Integrated analysis of LC-ESI-MS/MS metabolomics and RNA-seq transcriptomics from five alfalfa flower types.

Freshness

Last updated 2026-03-23.