Metabolomics in Plant Natural Products Research, 2nd Edition

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Plant Metabolism".

Deadline for manuscript submissions: 30 December 2025 | Viewed by 116

Special Issue Editor


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Guest Editor
Center for Molecular Metabolism, School of Environmental & Biological Engineering, Nanjing University of Science & Technology, Nanjing 210094, China
Interests: functional metabolomics; natural products chemistry; traditional Chinese medicines; bioinformatics
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Special Issue Information

Dear Colleagues,

We are pleased to announce the launch of a new Special Issue, “Metabolomics in Plant Natural Products Research, 2nd Edition”, a continuation of a previous successful Special Issue.

This Special Issue on plant natural product research and metabolomics aims to bring together works that advance our understanding of plant–environment interactions, the determination of chemical markers, and the prioritization and targeted isolation of active principles from medicinal plants. The natural products of plants have been a reliable source of potential drug-active components, and the bioactivity of natural extracts can be characterized by the synergism between different metabolites. Metabolomic approaches, such as LC/MS, GC/MS, and NMR, are appropriate means by which to assess complex interactions and identify various factors that may affect the production and accumulation of specialized metabolites in different species

Prof. Dr. Junsong Wang
Guest Editor

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Keywords

  • natural products
  • metabolomics
  • plant–environment interactions
  • chemical markers
  • active principles
  • LC/MS
  • GC/MS
  • NMR

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Published Papers (1 paper)

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Research

19 pages, 4128 KiB  
Article
Integrating Metabolomics and Machine Learning to Analyze Chemical Markers and Ecological Regulatory Mechanisms of Geographical Differentiation in Thesium chinense Turcz
by Cong Wang, Ke Che, Guanglei Zhang, Hao Yu and Junsong Wang
Metabolites 2025, 15(7), 423; https://doi.org/10.3390/metabo15070423 - 20 Jun 2025
Abstract
Background: The relationship between medicinal efficacy and the geographical environment in Thesium chinense Turcz. (T. chinense Turcz.), a traditional Chinese herb, remains systematically unexplored. This study integrates metabolomics, machine learning, and ecological factor analysis to elucidate the geographical variation patterns and regulatory [...] Read more.
Background: The relationship between medicinal efficacy and the geographical environment in Thesium chinense Turcz. (T. chinense Turcz.), a traditional Chinese herb, remains systematically unexplored. This study integrates metabolomics, machine learning, and ecological factor analysis to elucidate the geographical variation patterns and regulatory mechanisms of secondary metabolites in T. chinense Turcz. from Anhui, Henan, and Shanxi Provinces. Methods: Metabolomic profiling was conducted on T. chinense Turcz. samples collected from three geographical origins across Anhui, Henan, and Shanxi Provinces. Machine learning algorithms (Random Forest, LASSO regression) identified region-specific biomarkers through intersection analysis. Metabolic pathway enrichment employed MetaboAnalyst 5.0 with target prediction. Antioxidant activity (DPPH/hydroxyl radical scavenging) was quantified spectrophotometrically. Environmental correlation analysis incorporated 19 WorldClim variables using redundancy analysis, Mantel tests, and Pearson correlations. Results: We identified 43 geographical marker compounds (primarily flavonoids and alkaloids). Random forest and LASSO regression algorithms determined core markers for each production area: Anhui (4 markers), Henan (6 markers), and Shanxi (3 markers). Metabolic pathway enrichment analysis revealed these markers exert pharmacological effects through neuroactive ligand–receptor interaction and PI3K-Akt signaling pathways. Redundancy analysis demonstrated Anhui samples exhibited significantly higher antioxidant activity (DPPH and hydroxyl radical scavenging rates) than other regions, strongly correlating with stable low-temperature environments (annual mean temperature) and precipitation patterns. Conclusions: This study established the first geo-specific molecular marker system for T. chinense Turcz., demonstrating that the geographical environment critically influences metabolic profiles and bioactivity. Findings provide a scientific basis for quality control standards of geo-authentic herbs and offer insights into plant–environment interactions for sustainable cultivation practices. Full article
(This article belongs to the Special Issue Metabolomics in Plant Natural Products Research, 2nd Edition)
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