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利用 UPLC-ESI(-)-MS/MS 化学指纹图谱揭示 Chamaecrista nictitans 亚种和变种之间的酚类差异。

Phenolic variation among Chamaecrista nictitans subspecies and varieties revealed through UPLC-ESI(-)-MS/MS chemical fingerprinting.

机构信息

Centro de Investigaciones en Productos Naturales (CIPRONA), Universidad de Costa Rica, San Jose, 11501-2060, Costa Rica.

Escuela de Química, Universidad de Costa Rica, Sede Central, San Pedro de Montes de Oca, San Jose, 11501-2060, Costa Rica.

出版信息

Metabolomics. 2019 Jan 19;15(2):14. doi: 10.1007/s11306-019-1475-8.

Abstract

INTRODUCTION

Comparative analysis of metabolic features of plants has a high potential for determination of quality control of active ingredients, ecological or chemotaxonomic purposes. Specifically, the development of efficient and rapid analytical tools that allow the differentiation among species, subspecies and varieties of plants is a relevant issue. Here we describe a multivariate model based on LC-MS/MS fingerprinting capable of discriminating between subspecies and varieties of the medicinal plant Chamaecrista nictitans, a rare distributed species in Costa Rica.

METHODS

Determination of the chemical fingerprint was carried out on a LC-MS (ESI-QTOF) in negative ionization mode, main detected and putatively identified compounds included proanthocyanidin oligomers, several flavonoid C- and O-glycosides, and flavonoid acetates. Principal component analysis (PCA), partial least square-discriminant analysis (PLS-DA) and cluster analysis of chemical profiles were performed.

RESULTS

Our method showed a clear discrimination between the subspecies and varieties of Chamaecrista nictitans, separating the samples into four fair differentiated groups: M1 = C. nictitans ssp. patellaria; M2 = C. nictitans ssp. disadena; M3 = C. nictitans ssp. nictitans var. jaliscensis and M4 = C. nictitans ssp. disadena var. pilosa. LC-MS/MS fingerprint data was validated using both morphological characters and DNA barcoding with ITS2 region. The comparison of the morphological characters against the chemical profiles and DNA barcoding shows a 63% coincidence, evidencing the morphological similarity in C. nictitans. On the other hand, genetic data and chemical profiles grouped all samples in a similar pattern, validating the functionality of our metabolomic approach.

CONCLUSION

The metabolomic method described in this study allows a reliably differentiation between subspecies and varieties of C. nictitans using a straightforward protocol that lacks extensive purification steps.

摘要

简介

对植物代谢特征进行比较分析,对于确定活性成分的质量控制、生态或化学分类目的具有很高的潜力。具体来说,开发能够区分植物种、亚种和品种的高效快速分析工具是一个相关问题。在这里,我们描述了一种基于 LC-MS/MS 指纹图谱的多元模型,该模型能够区分哥斯达黎加分布稀少的药用植物 Chamaecrista nictitans 的亚种和品种。

方法

在负电离模式下进行 LC-MS(ESI-QTOF)测定,主要检测并推测鉴定的化合物包括原花青素低聚物、几种类黄酮 C-和 O-糖苷以及类黄酮醋酸盐。对化学图谱进行主成分分析(PCA)、偏最小二乘判别分析(PLS-DA)和聚类分析。

结果

我们的方法清楚地区分了 Chamaecrista nictitans 的亚种和品种,将样品分为四个明显不同的组:M1 = Chamaecrista nictitans ssp. patellaria;M2 = Chamaecrista nictitans ssp. disadena;M3 = Chamaecrista nictitans ssp. nictitans var. jaliscensis;M4 = Chamaecrista nictitans ssp. disadena var. pilosa。使用 ITS2 区的形态特征和 DNA 条形码对 LC-MS/MS 指纹数据进行了验证。形态特征与化学图谱和 DNA 条形码的比较显示出 63%的一致性,表明 Chamaecrista nictitans 的形态相似。另一方面,遗传数据和化学图谱将所有样本以相似的模式分组,验证了我们代谢组学方法的功能。

结论

本研究中描述的代谢组学方法允许使用简单的协议可靠地区分 Chamaecrista nictitans 的亚种和品种,该协议缺乏广泛的纯化步骤。

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