Flax Transcriptomic and Metabolomic Data Under Drought Stress

Integrated transcriptomic, metabolomic, and physiological-biochemical data from a flax cultivar subjected to 30 days of drought stress. The study identified over 10,000 differentially expressed genes and more than 1,200 altered metabolites in fruits and leaves. Researcher Xueqing He published this analysis in April 2026.

Use Cases

• Analyze correlations between differentially expressed genes (e.g., 10,215 in fruits) and altered metabolite levels (e.g., 1252 in fruits) to map drought response pathways.
• Model the relationship between drought stress and changes in specific lignan contents, such as secoisolariciresinol diglucoside (SDG) and secoisolariciresinol (SECO).
• Investigate metabolic shifts by examining changes in key compounds like adenosine 5’-diphosphate in fruits or UDP-D-glucose in leaves.
• Use physiological measurements like fresh weight, proline content, and antioxidant enzyme activities to validate omics-based findings on plant stress.

Strengths

• Includes multi-omics data with 10,215 differentially expressed genes in fruits and 9,715 in leaves.
• Reports quantitative changes for specific metabolites, including a 600% increase in SECO relative to SDG in fruits.
• Data is derived from a controlled 30-day drought stress experiment with defined soil moisture (≈7%).

Limitations

• Dataset scope is limited to a single flax cultivar (LT001), reducing generalizability.
• The primary data file is a 951.0 KB DOCX document, likely containing summarized results rather than raw sequencing or spectral data.
• No explicit row count or structured data tables are provided, limiting direct computational analysis.

Provenance

Source

figshare, authored by Xuehao He.

Collection Method

Integrated transcriptomic, metabolomic, and physiological-biochemical analysis of flax plants under controlled drought conditions.

Time Range

Experimental period involved a 30-day drought stress treatment.

Freshness

Last updated April 2026.

Geography

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