Alfalfa Flower Pigment and Gene Expression Profiles

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

Use Cases

• Correlate expression levels of 580 CSDEGs with anthocyanin content across five flower color types to identify regulatory genes.
• Analyze the relationship between the ratio of blue to red pigments and the expression of specific transcription factors like MYB and bHLH.
• Validate transcriptomic findings by modeling the correlation between novel gene candidates (e.g., MSTRG.59017) and delphinidin-3,5-O-diglucoside concentrations.
• Investigate the role of the 29 CSDEGs involved in the anthocyanin biosynthesis chain in driving the gradient from light to dark purple flowers.

Strengths

• Data integrates two omics layers (transcriptomics and metabolomics) for a multi-faceted analysis of a biological mechanism.
• Analysis is grounded in a specific, quantified biological gradient across five distinct flower color phenotypes (white, ZH1-ZH4).
• Identifies 580 common significant differentially expressed genes (CSDEGs), including 24 transcription factors, providing specific regulatory targets.
• Results are validated with qRT-PCR and integrated using an O2PLS model, indicating a rigorous analytical workflow.

Limitations

• The dataset is small (305.3 KB), suggesting it contains summary or processed results rather than raw sequencing or mass spectrometry data.
• Sample scope is limited to five flower types from a single plant species (alfalfa), restricting generalizability.
• The specific sample size (number of biological replicates per flower type) is not stated, which is critical for assessing statistical power.

Provenance

Source

figshare, authored by Hongqi Du.

Collection Method

Generated via integrated LC-ESI-MS/MS metabolomics and RNA-seq transcriptomics analyses of alfalfa flower samples.

Freshness

Last updated in March 2026, indicating it is a recent or forward-dated publication.