Pea Transcriptomic and Metabolomic Profiles for Powdery Mildew Resistance Analysis

Integrated transcriptomic and metabolomic data from a study of pea resistance to powdery mildew. The dataset profiles 17,554 metabolites and 34,566 annotated genes across two pea cultivars at three infection stages. It was authored by Yuanli Li and last updated on April 22, 2026.

Use Cases

• Identify key resistance genes based on differential expression profiles between susceptible and resistant pea varieties.
• Analyze metabolic pathway activity, particularly in phenylpropanoid biosynthesis, using integrated KEGG enrichment results.
• Investigate gene-metabolite correlation networks to understand post-transcriptional regulation in plant defense.
• Discover potential molecular markers for precision breeding of disease-resistant pea cultivars.

Strengths

• Multi-omics integration covering 17,554 identified metabolites and 34,566 annotated genes.
• Includes data from three distinct time points (0, 3, and 6 days post-inoculation) for temporal analysis.
• Clear biological focus on a defined comparison between two pea cultivars (Longwan 3 and Longwan 5).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific analytical tasks.
• Data is specific to two pea varieties and one pathogen, which may limit generalizability.

Provenance

Source

figshare

Collection Method

Integrated transcriptomic and metabolomic analysis of pea plants under controlled infection conditions.

Freshness

Last updated 2026-04-22 05:48:44; freshness should be verified.