ArticleMolecules (Basel, Switzerland)2023
An Untargeted Metabolomics Approach to Study the Variation between Wild and Cultivated Soybeans.
Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Integrative Multi-Omics Analysis Reveals Nutritional Metabolite Diversity and Regulatory Mechanisms inLife (Basel, Switzerland) · 2026Article
- Comparative Metabolomics and Network Pharmacology Study Reveals Chemopreventive Potential of Wild Soybean (Foods (Basel, Switzerland) · 2026Article
- Enhancing agrifood systems with metabolomics: from crop improvement to food quality.Frontiers in molecular biosciences · 2026Review
- Molecular Network Analysis in Model and Non-Model Legumes: Challenges in Omics Data Interpretation Across Species, with a Focus onPlants (Basel, Switzerland) · 2025Review
- Young green quinoa as a sustainable functional crop with anti-inflammatory effects in macrophage cells.Scientific reports · 2025Article
- UHPLC-QTOF-MS/MS profiling, molecular networking, and molecular docking analysis ofToxicology reports · 2025Article
- Metabolic profiling and spatial metabolite distribution in wild soybean (Food chemistry: X · 2024Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
The differential metabolite profiles of four wild and ten cultivated soybeans genotypes were explored using an untargeted metabolomics approach. Ground soybean seed samples were extracted with methanol and water, and metabolic features were obtained using ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-HRMS) in both positive and negative ion modes. The UHPLC-HRMS analysis of the two different extracts resulted in the putative identification of 98 metabolites belonging to several classes of phytochemicals, including isoflavones, organic acids, lipids, sugars, amino acids, saponins, and other compounds. The metabolic profile was significantly impacted by the polarity of the extraction solvent. Multivariate analysis showed a clear difference between wild and cultivated soybean cultivars. Unsupervised and supervised learning algorithms were applied to mine the generated data and to pinpoint metabolites differentiating wild and cultivated soybeans. The key identified metabolites differentiating wild and cultivated soybeans were isoflavonoids, free amino acids, and fatty acids. Catechin analogs, cynaroside, hydroxylated unsaturated fatty acid derivatives, amino acid, and uridine diphosphate-
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Registered trials
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