Integrative Transcriptomics for Wax and Stress Traits in Kentucky Bluegrass

Xue You's dataset from 2026 contains transcriptomic and phenotypic data for three cultivars of Kentucky bluegrass (Poa pratensis L.). It includes de novo transcriptome assembly of 228,310 unigenes and differential expression analysis of 7,257–29,713 genes, linked to phenotypic measurements of wax crystal density and osmotic stress responses. The data supports the nomination of a candidate 1R-MYB gene regulator.

Use Cases

• Identify differentially expressed genes associated with cuticular wax density based on comparative transcriptomics across three cultivars.
• Validate candidate gene expression patterns using qRT-PCR data linked to a progressive stress gradient.
• Correlate transcriptomic changes with phenotypic traits like stomatal aperture area, root architecture, and ROS accumulation under PEG-induced osmotic stress.
• Investigate enrichment of hormone signal transduction pathways in the context of water-loss regulation.

Strengths

• Transcriptome assembly has a BUSCO completeness score of 76.8%.
• Includes data from nine sequencing libraries, identifying 228,310 unigenes.
• Phenotypic validation includes quantified wax crystal density per 100 μm² and multiple physiological stress assays.

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 not included in this dataset.

Provenance

Source

figshare, author Xue You.

Collection Method

Data likely originates from comparative phenotyping, scanning electron microscopy, pot water-withholding assays, de novo transcriptome assembly, and qRT-PCR validation experiments.

Freshness

Last updated 2026-05-20 04:34:27.