Integrating Metabolomics and Machine Learning to Analyze Chemical Markers and Ecological Regulatory Mechanisms of Geographical Differentiation in Thesium chinense Turcz
This study established the first geo-specific molecular marker system for <i>T. chinense</i> 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.
Authors
- Junsong Wang (ORCID: https://orcid.org/0000-0002-8935-4969)
- Ke Che
- Cong Wang (ORCID: https://orcid.org/0000-0003-0263-1933)
- Guanglei Zhang (ORCID: https://orcid.org/0000-0003-2986-7743)
- Hao Yu (ORCID: https://orcid.org/0000-0002-8298-7181)
Institutions
- Anhui University of Science and Technology (CN)
- Nanjing University of Science and Technology (CN)
- Anhui Science and Technology University (CN)
- Bozhou People's Hospital (CN)
Publication Details
- Journal
- Metabolites
- Published
- 2025-06-20
- DOI
- https://doi.org/10.3390/metabo15070423
- Citations
- 3
- Primary Topic
- Soybean genetics and cultivation
- Type
- article
- Field-Weighted Citation Impact
- 5.25
Funders
- National Natural Science Foundation of China
- Government of Jiangsu Province
- Fundamental Research Funds for the Central Universities