Metabolomic and Transcriptomic Analyses of Smilax Glabra Seed Dormancy Release

A dataset from a study investigating the physiological and molecular mechanisms of temperature-stratification-induced dormancy release in Smilax glabra seeds. The data includes measurements of soluble sugars, starch, soluble protein content, and enzymatic activities, alongside phytohormone metabolic profiles and RNA-seq results. The dataset was authored by Haidi Wang and last updated on April 30, 2026.

Use Cases

• Modeling hormonal balance shifts during seed germination based on ABA and GA metabolism profiles.
• Analyzing gene expression patterns related to starch degradation based on RNA-seq data for AMY and BAM genes.
• Studying the relationship between enzymatic activity (PGI, MDH, G6PDH) and metabolic changes during temperature stratification.
• Investigating the role of jasmonic acid pathway genes (LOX2, AOS, JAZ) in seed dormancy release.

Strengths

• Integrates multiple data types: physiological measurements, metabolomics (UPLC-MS/MS), and transcriptomics (RNA-seq).
• Focuses on a specific, well-defined biological process: temperature-stratification-induced dormancy release.
• Dataset is openly available under a CC-BY-4.0 license.

Limitations

• The dataset is very small (15.9 KB), suggesting limited scope or summary-level data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare, authored by Haidi Wang.

Collection Method

Data generated from laboratory experiments using ultraviolet spectrophotometry, UPLC-MS/MS, and RNA-seq.

Freshness

Last updated 2026-04-30 22:01:19; freshness should be verified.