Multi-Omics and Microbial Data for Hibiscus Mutabilis Flower Color Dynamics

A study by Shengwen Tang integrates metabolomic, transcriptomic, and epiphytic microbial community data to analyze the spatiotemporal dynamics of flower color change in Hibiscus mutabilis. The dataset, last updated in April 2026, is a 1.7 MB document file shared under a CC-BY-4.0 license on figshare. It compares petals and flower bases across morning and afternoon time points.

Use Cases

• Identify key metabolic pathways like flavonoid biosynthesis and glycolysis based on differential metabolite enrichment.
• Study gene expression regulators such as MYB114-like and its co-enrichment with plant hormone signaling pathways.
• Analyze shifts in microbial community composition, like the relative abundance of Actinomycetota, and their predicted functional roles.
• Model the spatiotemporal regulatory network of flower color change from the perspective of plant-microbe interactions.

Strengths

• Integrates three distinct data modalities: metabolomics, transcriptomics, and microbial community analysis.
• Provides spatiotemporal comparison across two tissue types (petals, flower base) and two time points (morning, afternoon).
• Shared under a permissive CC-BY-4.0 license, facilitating reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The primary data is contained in a 1.7 MB DOCX file, which may require extraction or conversion for computational analysis.

Provenance

Source

Shengwen Tang via figshare.

Collection Method

Laboratory analysis integrating metabolomics, transcriptomics, and microbial community sequencing.

Freshness

Last updated 2026-04-23 05:35:35; freshness should be verified.