Cranberry Drought Stress Response: Physiological and Transcriptomic Data

A transcriptomic dataset from cranberry plants subjected to four levels of drought stress. Fanfan Chen published the data on figshare under a CC-BY-4.0 license in May 2026. The dataset likely contains measurements from physiological assays and gene expression analysis.

Use Cases

• Identify differentially expressed genes involved in drought response based on transcriptome sequencing.
• Analyze correlations between photosynthetic impairment and oxidative stress indicators like MDA and H2O2.
• Model the relationship between stomatal morphology changes and drought severity based on anatomical structure data.
• Investigate the role of photosynthesis-related genes in drought adaptation based on KEGG pathway enrichment.

Strengths

• Includes data from four distinct treatment levels: normal water supply, mild, moderate, and severe drought.
• Combines multiple analysis techniques: paraffin sectioning, chlorophyll fluorescence, spectrophotometry, and transcriptome sequencing.
• Transcriptome sequencing identified 58,020 single genes and 55 continuously differentially expressed genes.

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 very small (11.1 KB), suggesting limited scope or summary-level data.

Provenance

Source

figshare

Collection Method

Experimental study using pot treatments, physiological assays, and RNA sequencing.

Freshness

Last updated 2026-05-07 04:37:26; freshness should be verified.