Tomato Plant Drought Resilience Data with Nanoparticle Treatment and Transcriptomics

Svitlala Plokhovska's dataset on figshare, last updated in 2026, contains experimental results on enhancing tomato drought tolerance. The 94.7 KB Excel file includes physiological, biochemical, and transcriptomic measurements from plants treated with silver nanoparticles coated with bacterial metabolites. Data shows changes in growth parameters, oxidative stress markers, antioxidant enzyme activities, and gene expression profiles under drought conditions.

Use Cases

• Modeling the relationship between nanoparticle treatment and plant growth metrics (shoot length, fresh/dry weight) under drought stress.
• Analyzing transcriptomic profiles to identify chloroplast and mitochondria-associated gene expression changes induced by treatment.
• Investigating correlations between oxidative stress markers (H2O2, MDA) and antioxidant enzyme activities (SOD) in drought response.
• Comparing the efficacy of different application methods (foliar spray vs. soil drench) for enhancing plant resilience.

Strengths

• Includes multi-modal data combining physiological measurements (e.g., -30.8% fresh weight change) with transcriptomic analysis.
• Specific treatment concentrations are documented (e.g., AgNPs at 60 ppm).
• Results are quantified with precise percentage changes for key variables, such as a 50.1% improvement in dry weight.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (94.7 KB), indicating a limited experimental scope.

Provenance

Source

figshare, author Svitlana Plokhovska.

Collection Method

Experimental data from tomato plants treated with biogenic silver nanoparticles or bacterial metabolites and exposed to drought stress.

Time Range

Experimental period not specified.

Freshness

Last updated 2026-05-04 05:31:08; freshness should be verified.

Geography

Geographic origin of the study not specified.