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Open AccessArticle

A Multi-Level Strategy Based on Metabolic and Molecular Genetic Approaches for the Characterization of Different Coptis Medicines Using HPLC-UV and RAD-seq Techniques

by Furong Zhong 1,2, Chan Shen 1,2, Luming Qi 1,2 and Yuntong Ma 1,2,3,*
1
State Key Laboratory Breeding Base of Systematic Research, Development and Utilization of Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
2
School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
3
The engineering and technology research center for the protection and development of Yalian resources in Sichuan Province, Meishan 620360, Sichuan, China
*
Author to whom correspondence should be addressed.
Molecules 2018, 23(12), 3090; https://doi.org/10.3390/molecules23123090
Received: 1 November 2018 / Revised: 23 November 2018 / Accepted: 24 November 2018 / Published: 27 November 2018
Coptis plants (Ranunculaceae) to have played an important role in the prevention and treatment human diseases in Chinese history. In this study, a multi-level strategy based on metabolic and molecular genetic methods was performed for the characterization of four Coptis herbs (C. chinensis, C. deltoidea, C. omeiensis and C. teeta) using high performance liquid chromatography-ultraviolet (HPLC-UV) and restriction site-associated DNA sequencing (RAD-seq) techniques. Protoberberine alkaloids including berberine, palmatine, coptisine, epiberberine, columbamine, jatrorrhizine, magnoflorine and groenlandicine in rhizomes were identified and determined based on the HPLC-UV method. Among them, berberine was demonstrated as the most abundant compound in these plants. RAD-seq was applied to discover single nucleotide polymorphisms (SNPs) data. A total of 44,747,016 reads were generated and 2,443,407 SNPs were identified in regarding to four plants. Additionally, with respect to complicated metabolic and SNP data, multivariable statistical methods of principal component analysis (PCA) and hierarchical cluster analysis (HCA) were successively applied to interpret the structure characteristics. The metabolic variation and genetic relationship among different Coptis plants were successfully illustrated based on data visualization. Summarily, this comprehensive strategy has been proven as a reliable and effective approach to characterize Coptis plants, which can provide additional information for their quality assessment. View Full-Text
Keywords: Coptis plants; HPLC-UV; RAD-seq; multivariable statistical method Coptis plants; HPLC-UV; RAD-seq; multivariable statistical method
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MDPI and ACS Style

Zhong, F.; Shen, C.; Qi, L.; Ma, Y. A Multi-Level Strategy Based on Metabolic and Molecular Genetic Approaches for the Characterization of Different Coptis Medicines Using HPLC-UV and RAD-seq Techniques. Molecules 2018, 23, 3090.

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