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 combines paraffin sectioning, chlorophyll fluorescence, spectrophotometry, and sequencing to clarify the plant's drought response mechanism. It was authored by Fanfan Chen and last updated in May 2026.

Use Cases

• Analyze photosynthetic performance under drought stress based on chlorophyll fluorescence and oxygen release data.
• Identify differentially expressed genes involved in drought response based on transcriptome sequencing results.
• Study anatomical changes in leaf structure under stress based on paraffin sectioning observations.
• Model oxidative stress pathways based on MDA, H2O2, SOD, and CAT activity measurements.
• Enrichment analysis of metabolic pathways based on KEGG results for 55 continuously differentially expressed genes.

Strengths

• 58,020 single genes identified from transcriptome sequencing.
• Data integrates four measurement techniques: paraffin sectioning, chlorophyll fluorescence, spectrophotometry, and sequencing.
• Includes observations from four distinct drought stress levels (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 very small (12.5 KB), suggesting it may be a summary or metadata document rather than raw data tables.

Provenance

Source

figshare

Collection Method

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

Freshness

Last updated 2026-05-07 04:37:25; freshness should be verified.