Transcriptomic and Metabolomic Profiles of Submerged Dawn Redwood Seedlings

Intermediate data files from leaf and root samples of Metasequoia glyptostroboides seedlings under 1–4 days of submergence stress and control conditions. The dataset was authored by Yuting Jiang and last updated on the platform in April 2026. It comprises processed transcriptomic and metabolomic measurements.

Use Cases

• Analyze transcriptomic feature expression changes in leaf versus root tissues over the 1–4 day submergence time course.
• Correlate metabolomic profile features with submergence duration to identify stress-related biochemical pathways.
• Compare processed data features from treatment samples against control samples to isolate submergence-specific responses.
• Integrate transcriptomic and metabolomic data features to model systemic adaptation mechanisms in a conifer species.

Strengths

• Data covers a controlled experimental time course of 1 to 4 days for submergence treatment.
• Includes paired samples from two distinct tissue types: leaves and roots.
• Published under a permissive CC-BY-4.0 license allowing reuse and modification.

Limitations

• The dataset is relatively small at 37.6 MB, suggesting limited sample or feature depth.
• Specific row counts, column names, and measurement techniques are not provided in the description.
• Data is derived from a single plant species (Metasequoia glyptostroboides) under laboratory conditions, limiting generalizability.

Provenance

Source

figshare, authored by Yuting Jiang.

Collection Method

Derived from experimental samples of seedlings subjected to submergence treatment and control conditions.

Time Range

Experimental treatment duration of 1–4 days.

Freshness

null

Geography

null