Physiological and Transcriptomic Analysis of Cranberry Drought Response

58,020 single genes were identified through transcriptome sequencing of cranberry leaves under four drought treatments. The dataset combines paraffin sectioning, chlorophyll fluorescence, spectrophotometry, and sequencing to clarify the plant's response mechanism. Fanfan Chen published the data on figshare in May 2026.

Use Cases

• Identify differentially expressed genes involved in drought response based on transcriptome sequencing.
• Analyze changes in photosynthetic performance and oxidative stress under drought based on chlorophyll fluorescence and MDA/H2O2 measurements.
• Correlate anatomical leaf structure changes with drought severity based on paraffin section observations.
• Study the activation of protective mechanisms in PSII under moderate drought based on heat dissipation capacity data.

Strengths

• Includes data from four distinct drought treatment levels (CK, D1, D2, D3), enabling comparative analysis.
• Combines multiple analysis techniques: transcriptomics (58,020 genes), physiology, and anatomy.
• KEGG enrichment analysis identified 55 continuously differentially expressed genes across 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 very small (27.6 KB), suggesting limited scope or summary-level data.

Provenance

Source

Fanfan Chen

Collection Method

Experimental study using pot treatments, leaf collection, and combined laboratory techniques.

Freshness

Last updated 2026-05-07 04:37:28; freshness should be verified.