Elymus Nutans Transcriptome and Metabolome Data for Allelopathic Stress Response

Transcriptomic and metabolomic data from a study on the allelopathic response of Elymus nutans to Ligularia sagitta extracts. The dataset includes results from seed germination tests, 367,463 Unigenes from transcriptome analysis, and 361 differential metabolites from metabolome analysis. It was authored by Huiyun Yu and last updated on May 26, 2026.

Use Cases

• Identify differentially expressed genes (DEGs) involved in plant stress response based on the 5,617 DEGs identified.
• Analyze enrichment of metabolic pathways like phenylpropanoid biosynthesis based on the 361 differential metabolites.
• Study the correlation between gene expression and metabolite production in response to allelochemicals based on integrated transcriptome and metabolome analysis.
• Investigate the role of key enzymes (PAL, PTAL, CAD, CCR) in secondary metabolism based on the described pathway.

Strengths

• Includes a specific count of 367,463 Unigenes from transcriptome analysis.
• Identifies 5,617 differentially expressed genes and 361 differential metabolites.
• Links molecular data to a concrete biological process: allelopathic stress response in Elymus nutans.

Limitations

• Dataset is small in size (22.8 KB), indicating 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 for large-scale modeling.

Provenance

Source

figshare

Collection Method

Seed germination tests combined with integrated transcriptome and metabolome analyses.

Freshness

Last updated 2026-05-26 17:40:44; freshness should be verified.