Tomato Seedling Physiological and Transcriptomic Responses to Salt Stress and Silicon

Yiru Wang's figshare dataset contains physiological and transcriptomic data from a study on tomato seedlings under salt stress with and without silicon application. The data includes measurements of growth parameters, photosynthetic rates, reactive oxygen species, and transcriptomic analysis identifying 435 differentially expressed genes. The dataset was last updated in April 2026.

Use Cases

• Identify candidate genes for salt tolerance by analyzing the 435 differentially expressed genes (DEGs) between Na+Si and Na treatments.
• Model the relationship between silicon application and physiological traits like shoot/root fresh weight, plant height, and net photosynthetic rate (Pn).
• Investigate the role of specific transcription factor families (AP2/ERF, WRKY, NAC) in silicon-mediated stress response using transcriptomic data.
• Analyze enrichment of metabolic pathways such as ethylene biosynthesis, lignin catabolism, and the MAPK signaling pathway under combined salt and silicon treatment.
• Correlate biochemical markers like proline, reactive oxygen species (ROS), and malondialdehyde (MDA) content with observed plant growth improvements.

Strengths

• Transcriptomic analysis identified 435 differentially expressed genes (397 upregulated, 38 downregulated) for detailed molecular investigation.
• Dataset includes multiple data types: physiological measurements (e.g., chlorophyll, Pn, MDA) and transcriptomic results, enabling multi-faceted analysis.
• Data is openly licensed under CC-BY-4.0, facilitating reuse and sharing.

Limitations

• The dataset is small (5.9 MB), indicating a limited sample size, which may constrain statistical power for some analyses.
• Specific sample/row counts for physiological measurements are not provided, making it difficult to assess the study's scale.
• The experimental design is focused on a single plant species (tomato) and specific stress condition, limiting generalizability.

Provenance

Source

Yiru Wang, published on figshare.

Collection Method

Data was generated from a controlled laboratory experiment analyzing physiological responses and conducting transcriptomic sequencing on tomato seedlings.

Freshness

Data was last updated in April 2026, indicating it is current.