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Chemical and genetic discrimination of commercial Guangchenpi (Citrus reticulata ‘Chachi’) by using UPLC-QTOF-MS/MS based metabolomics and DNA barcoding approaches

机译:基于UPLC-QTOF-MS / MS的代谢组和DNA条形码方法,商业广楚人的化学和遗传辨别

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CRP (Citri Reticulatae Pericarpium), a famous traditional Chinese medicine, has also been extensively used in foods and condiments in dietary practice for centuries. According to the Chinese Pharmacopeia (2015 edition) it contains two subtypes, Guangchenpi (GCP) and Chenpi (CP). GCP exclusively originates from the pericarp of Citrus reticulata ‘Chachi’ cultivar and it's generally believed that GCP has superior qualities compared with the other main cultivars (CP). In the present study, an integrated approach combining LC-QTOF MS-based untargeted metabolomics analysis and DNA barcoding molecular identification was conducted to study the genetic diversity and chemical differences between GCP and CP. A validated UPLC-QTOF MS metabolomics method was established to identify markers by using PCA and OPLS-DA models. 34 identified metabolites could be used as chemical markers to distinguish effectively between the two subtypes. Among them polymethoxyflavones (PMF) such as hexamethoxyflavone (nobiletin and natsudaidain), pentamethoxyflavone (tangeretin and sinensetin), and tetramethoxyflavone are the most influential markers. Support vector machines were employed to classify all the samples and these markers showed good prediction accuracy (100%). The results of DNA barcoding showed that the secondary structure of the ITS2 sequences were significantly different among GCP and other three cultivars. The study indicated the integrated method could be a powerful and reliable analytical tool for differentiating GCP from CP.
机译:CRP(Citri Tericulatae Pericarpium)是一家着名的中医,也广泛地用于饮食实践中的食物和调味品。据中国药典(2015年版)介绍,它包含两个亚型,广楚人(GCP)和Chenpi(CP)。 GCP专门源于柑橘类康西的杂皮病的果皮,普遍认为,与其他主要品种(CP)相比,GCP具有优异的品质。在本研究中,进行了组合基于MS的未确定代谢组和DNA分子鉴定的综合方法,以研究GCP和CP之间的遗传多样性和化学差异。建立了经过验证的UPLC-QTOF MS Metabolomics方法,以通过使用PCA和OPLS-DA模型来识别标记。 34鉴定的代谢物可以用作化学标记,以在两个亚型之间有效地区分。其中聚甲氧基硫酮(PMF)如六甲氧基氟(Nobiletin和Natsudaudainain),五甲氧基甲苯胺(Tangeretin和Sinensetin),四甲氧基氟酮是最有影响力的标志物。支持向量机用于分类所有样品,这些标记显示出良好的预测精度(100%)。 DNA条形码的结果表明,GCP和其他三种品种的ITS2序列的二级结构显着不同。该研究表明了集成方法可以是用于区分CP的强大且可靠的分析工具。

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