Cranberry Drought Stress Response: Physiological and Transcriptomic Data

A dataset from a 2026 study on "Bain 11" cranberry plants subjected to four drought treatments. It combines physiological measurements—including leaf anatomy, chlorophyll fluorescence, and oxidative stress indicators—with transcriptome sequencing results identifying 58,020 single genes. The data was generated by Fanfan Chen to clarify the cranberry's response mechanism to varying drought intensities.

Use Cases

• Identify differentially expressed genes involved in drought response based on transcriptome sequencing.
• Correlate photosynthetic performance with anatomical changes based on paraffin sectioning and chlorophyll fluorescence data.
• Analyze oxidative stress pathways based on measurements of MDA, H2O2, SOD, and CAT activities.
• Model the impact of drought severity on plant physiology based on data from four distinct stress levels.

Strengths

• Integrates multiple analysis techniques: paraffin sectioning, chlorophyll fluorescence, spectrophotometry, and transcriptome sequencing.
• Transcriptome sequencing identified 58,020 single genes, with 55 continuously differentially expressed genes analyzed across 54 metabolic pathways.
• Provides detailed physiological observations across four defined drought treatments (CK, D1, D2, D3).

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 small (713.9 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Experimental study combining pot treatments, physiological measurements, and RNA sequencing.

Freshness

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