Elymus Nutans Transcriptome and Metabolome Data Under Allelopathic Stress

367,463 Unigenes and 361 differential metabolites characterize the molecular response of Elymus nutans grass to extracts from Ligularia sagitta. The dataset includes results from seed germination tests and integrated multi-omics analyses, identifying a sensitive concentration interval of 0.01–0.10 mg/mL. Huiyu Yu published this 12.3 KB Excel file on figshare in May 2026 under a CC-BY-4.0 license.

Use Cases

• Identify differentially expressed genes related to secondary metabolite biosynthesis based on the 5,617 DEGs mentioned.
• Analyze enrichment in plant hormone signal transduction pathways based on KEGG analysis results.
• Study the phenylpropanoid biosynthesis pathway as a core stress response mechanism based on identified key genes and metabolites.
• Correlate seed germination energy (GE) and germination rate (GR) with molecular changes under allelopathic stress.

Strengths

• Includes multi-omics data with 367,463 Unigenes from transcriptome analysis and 361 differential metabolites from metabolome analysis.
• Identifies a specific sensitive concentration interval (0.01–0.10 mg/mL) for the allelopathic response.
• Results are mapped to specific KEGG pathways, with 14 significantly enriched from transcriptome data and 29 from metabolome data.

Limitations

• Dataset is very small at 12.3 KB, indicating limited scope.
• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The description is detailed but the actual data file structure and variable definitions must be inferred.

Provenance

Source

figshare, author Huiyun Yu.

Collection Method

Data generated from seed germination tests combined with integrated transcriptome and metabolome analyses.

Freshness

Last updated 2026-05-26 17:40:43; freshness should be verified.

Geography

Likely related to alpine grassland ecosystems, but specific location is not stated.