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Metabolomics analysis of dandelions from different geographical regions in China.
- Source :
-
Phytochemical analysis : PCA [Phytochem Anal] 2021 Nov; Vol. 32 (6), pp. 899-906. Date of Electronic Publication: 2021 Feb 28. - Publication Year :
- 2021
-
Abstract
- Introduction: Dandelion (Taraxacum mongolicum Hand.-Mazz.) is a perennial herb with diverse pharmacological effects. The development and utilization of dandelion have attracted much attention.<br />Objectives: Our aims were to provide a reference basis for the identification of the origin of dandelions and to study the influence of their origin on their quality. Methods High-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry was used to analyze metabolites from dandelions from four different geographical regions in China, namely Gansu, Henan, Shanxi, and Jiangsu. Metabolite analysis was performed using orthogonal partial least-squares discriminant analysis, and to identify potential metabolic pathways, MBRole was used to perform Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis.<br />Results: Principal component analysis revealed that the chemical components of dandelions sampled from the four regions showed noticeable differences. Twenty-six, six, six, eight, eight, and fifteen differentially produced metabolites were identified upon comparison between Gansu and Jiangsu, Gansu and Shanxi, Gansu and Henan, Henan and Shanxi, Henan and Jiangsu, and Shanxi and Jiangsu, respectively. These differentially produced metabolites were mainly phenolic compounds. Further, KEGG pathway enrichment analysis showed that the main metabolic pathways involved were biosynthesis of phenylpropanoids and flavonoids.<br />Conclusion: The methods reported herein can be used to identify the origin of dandelions; moreover, our results can serve as a reference basis for future studies.<br /> (© 2021 John Wiley & Sons, Ltd.)
- Subjects :
- China
Chromatography, High Pressure Liquid
Mass Spectrometry
Metabolomics
Taraxacum
Subjects
Details
- Language :
- English
- ISSN :
- 1099-1565
- Volume :
- 32
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Phytochemical analysis : PCA
- Publication Type :
- Academic Journal
- Accession number :
- 33641186
- Full Text :
- https://doi.org/10.1002/pca.3033