数字农科院2.0

Development of StatMS platform coupled with MS metabolomics identifies altitude-responsive metabolites in Coreopsis tinctoria Nutt․

文献类型: 外文期刊

作者: Yinyu Chen;Hongji Zeng;Yu Song;Zhengyan Li;Ganghui Chu;Jing Tian;Hongchao Ji

作者机构:

关键词: (0-1-2)Altitude biomarker;Coreopsis tinctoria;Data analysis software;Metabolomics

期刊名称: Chinese Journal of Analytical Chemistry

ISSN: 1872-2040

年卷期: 2025 年 53 卷 9 期

页码:

收录情况: SCIE(2025版) ; ; EI(2025版) ; ; 北大核心(2023版) ; ; CSCD(2025-2026年度) ; ; 科技核心(2024版)

摘要: The ‘Kunlun Snow Chrysanthemum’ (Coreopsis tinctoria Nutt.), a medicinal plant native to Xinjiang, China, is valued for its bioactive compounds and therapeutic properties. This study explores the impact of altitude on its metabolic profile using an integrated Liquid Chromatography-Mass Spectrometry (LC-MS) and Gas chromatography-mass spectrometry (GC–MS) metabolomics approach. Samples from four altitudes (∼1231 to ∼3200 m) were analyzed and revealed distinct metabolic variations across samples from different altitudes. To facilitate data analysis, we developed Statistical Metabolomics Suite (StatMS), a Python-based tool that provides preprocessing, statistical analysis, and interactive visualization. By integrating experimental analysis with data processing, this study offers new insights into the environmental influence on C. tinctoria's metabolic composition, enhancing its potential as a high-value medicinal resource.

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