Cranberry Drought Stress Physiological and Transcriptomic Data

58,020 single genes were identified from transcriptome sequencing of cranberry leaves under four drought treatments. The dataset likely contains physiological measurements and gene expression data from a controlled pot experiment using the "Bain 11" cranberry cultivar. It was uploaded by Fanfan Chen in May 2026.

Use Cases

• Identify differentially expressed genes involved in photosynthesis pathways based on transcriptome sequencing.
• Analyze correlations between oxidative stress indicators (MDA, H2O2) and antioxidant enzyme activities (SOD, CAT) under drought.
• Model the relationship between stomatal morphology changes and photosynthetic oxygen release rates.
• Compare leaf anatomical structure alterations across mild, moderate, and severe drought stress levels.

Strengths

• Includes data from four distinct drought treatment levels (CK, D1, D2, D3), enabling comparative analysis.
• Combines multiple analysis techniques: paraffin sectioning, chlorophyll fluorescence, spectrophotometry, and transcriptome sequencing.
• Identifies 55 continuously differentially expressed genes involved in 54 metabolic pathways.

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 stored as a DOCX file, which may require conversion for computational analysis.

Provenance

Source

figshare

Collection Method

Experimental data from controlled pot treatments, likely collected in a laboratory setting.

Freshness

Last updated 2026-05-07 04:37:29; freshness should be verified.