Accumulation mechanism of metabolite markers identified by machine learning between Qingyuan and Xiushui counties in Polygonatum cyrtonema Hua

Accumulation mechanism of metabolite markers identified by machine learning between Qingyuan and Xiushui counties in Polygonatum cyrtonema Hua

Abstract Polygonatum cyrtonema Hua is a traditional Chinese medicinal plant acclaimed for its therapeutic potential in diabetes and various chronic diseases. Its rhizomes are the main functional parts rich in secondary metabolites, such as flavonoids and saponins. But their quality varies by region,...

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Bibliographic Details
Main Authors: Qiqi Gong, Jianfeng Yu, Zhicheng Guo, Ke Fu, Yi Xu, Hui Zou, Cong Li, Jinping Si, Shengguan Cai, Donghong Chen, Zhigang Han
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Plant Biology
Subjects:
Polygonatum cyrtonema Hua
Phenylpropanoids
Machine learning
Metabolomics
Biosynthesis
Online Access:https://doi.org/10.1186/s12870-024-04871-6

Internet

https://doi.org/10.1186/s12870-024-04871-6

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