Correlation analyses between molecular perspective and phytochemical variations in Coptis chinensis Franch

He, Yang; Fan, Gang; Gao, Jihai; Peng, Cheng

doi:10.1016/j.bse.2015.06.022

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…These constituents display many medicinal properties such as antiviral, anti-inflammatory and antimicrobial activities [16,17,18]. In recent years, many analytical methods including high performance liquid chromatography-ultraviolet (HPLC-UV), ultra-performance liquid chromatography (UPLC) and proton nuclear magnetic resonance ( 1 H-NMR) have been used to analyze these compounds in Coptis plants [19,20,21]. These studies have shown that their contents are obviously different among different species.…”

Section: Introductionmentioning

confidence: 99%

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

Zhong

Shen

et al. 2018

Molecules

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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.

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Section: Introductionmentioning

confidence: 99%

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

Zhong

Shen

et al. 2018

Molecules

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Comparative study of the free amino acid compositions and contents in three different botanical origins of Coptis herb

Zhao

et al. 2019

Biochemical Systematics and Ecology

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Correlation analyses between molecular perspective and phytochemical variations in Coptis chinensis Franch

Cited by 2 publications

References 13 publications

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

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

Comparative study of the free amino acid compositions and contents in three different botanical origins of Coptis herb

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