Elymus Nutans Transcriptome and Metabolome Data Under Allelopathic Stress

A study explores the allelopathic response of Elymus nutans to Ligularia sagitta extracts. Integrated transcriptome and metabolome analyses identified 367,463 unigenes, 5,617 differentially expressed genes, and 361 differential metabolites. The dataset, shared by Huiyun Yu under CC-BY-4.0, provides molecular insights into plant stress responses in alpine grassland ecosystems.

Use Cases

• Identify differentially expressed genes involved in ribosome biosynthesis and plant hormone signal transduction.
• Analyze differential metabolites enriched in pathways like phenylpropanoid biosynthesis.
• Integrate transcriptomic and metabolomic data to explore core secondary metabolic pathways under allelopathic stress.
• Study the role of key enzymes (PAL, PTAL, CAD, CCR) and metabolites (p-Coumaric acid, Ferulic acid) in plant defense mechanisms.

Strengths

• Integrated multi-omics data includes transcriptome (367,463 unigenes) and metabolome (361 differential metabolites) analyses.
• Specific concentration ranges (0.01–0.10 mg/mL) for allelopathic response are identified.
• Clear pathway enrichment results are provided, with 14 significantly enriched KEGG pathways from the transcriptome and 29 from the metabolome.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is relatively small at 25.0 MB, potentially limiting the scope of analysis.

Provenance

Source

figshare

Collection Method

Seed germination tests combined with integrated transcriptome and metabolome analyses.

Freshness

Last updated 2026-05-26 17:40:36; freshness should be verified.

Geography

Alpine grassland ecosystems (inferred).