Integrative Transcriptomics Data for Wax-Related Traits in Kentucky Bluegrass

Xue You published this dataset on figshare in 2026. It contains results from a study combining phenotyping and de novo transcriptomics across three Kentucky bluegrass cultivars. The data likely includes differential gene expression counts, phenotypic measurements, and candidate gene analysis related to epidermal wax and stress response.

Use Cases

• Identifying candidate stress-response genes based on expression concordance with wax-density gradients.
• Analyzing differential gene expression patterns across cultivars with contrasting epidermal structures.
• Studying the enrichment of hormone signal transduction pathways under osmotic stress conditions.
• Validating gene function through correlation with phenotypic traits like stomatal aperture and root architecture.

Strengths

• Transcriptome assembly includes 228,310 unigenes with a BUSCO completeness score of 76.8%.
• Pairwise comparisons identified between 7,257 and 29,713 differentially expressed genes.
• Data is associated with specific, quantified phenotypic measurements (e.g., wax crystals per 100 μm²).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The description notes that direct quantification of wax composition and cuticular water-loss assays are absent from this dataset.

Provenance

Source

figshare, author Xue You.

Collection Method

De novo transcriptome assembly from pooled reads of nine libraries and comparative phenotyping of three cultivars.

Time Range

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Freshness

Last updated 2026-05-20 04:34:28; freshness should be verified.

Geography

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