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辣椒属植物的气相色谱-质谱联用非靶向代谢组学分析

Untargeted Metabolomic Analysis of Capsicum spp. by GC-MS.

作者信息

Aranha Bianca Camargo, Hoffmann Jessica Fernanda, Barbieri Rosa Lia, Rombaldi Cesar Valmor, Chaves Fábio Clasen

机构信息

Graduate Programme in Food Science and Technology, Department of Agroindustrial Science and Technology, Faculty of Agronomy Eliseu Maciel, Federal University of Pelotas, Caixa Postal 354, CEP, 96010-900, Pelotas, Brazil.

Embrapa Clima Temperado, Caixa Postal 403, CEP, 96001-970, Pelotas, Brazil.

出版信息

Phytochem Anal. 2017 Sep;28(5):439-447. doi: 10.1002/pca.2692. Epub 2017 May 11.

Abstract

INTRODUCTION

In order to conserve the biodiversity of Capsicum species and find genotypes with potential to be utilised commercially, Embrapa Clima Temperado maintains an active germplasm collection (AGC) that requires characterisation, enabling genotype selection and support for breeding programmes.

OBJECTIVE

The objective of this study was to characterise pepper accessions from the Embrapa Clima Temperado AGC and differentiate species based on their metabolic profile using an untargeted metabolomics approach.

MATERIAL AND METHODS

Cold (-20°C) methanol extraction residue of freeze-dried fruit samples was partitioned into water/methanol (A) and chloroform (B) fractions. The polar fraction (A) was derivatised and both fractions (A and B) were analysed by gas chromatography coupled to mass spectrometry (GC-MS). Data from each fraction was analysed using a multivariate principal component analysis (PCA) with XCMS software.

RESULTS

Amino acids, sugars, organic acids, capsaicinoids, and hydrocarbons were identified. Outlying accessions including P116 (C. chinense), P46, and P76 (C. annuum) were observed in a PCA plot mainly due to their high sucrose and fructose contents. PCA also indicated a separation of P221 (C. annuum) and P200 (C. chinense), because of their high dihydrocapsaicin content.

CONCLUSIONS

Although the metabolic profiling did not allow for grouping by species, it permitted the simultaneous identification and quantification of several compounds complementing and expanding the metabolic database of the studied Capsicum spp. in the AGC. Copyright © 2017 John Wiley & Sons, Ltd.

摘要

引言

为了保护辣椒属物种的生物多样性并寻找具有商业利用潜力的基因型,巴西农业研究公司温带气候研究中心维护了一个活跃的种质资源库(AGC),该资源库需要进行特征描述,以实现基因型选择并为育种计划提供支持。

目的

本研究的目的是对巴西农业研究公司温带气候研究中心AGC中的辣椒种质进行特征描述,并使用非靶向代谢组学方法根据其代谢谱区分物种。

材料与方法

将冷冻干燥果实样品的冷(-20°C)甲醇提取物残渣分为水/甲醇(A)和氯仿(B)馏分。对极性馏分(A)进行衍生化处理,然后通过气相色谱-质谱联用(GC-MS)对两个馏分(A和B)进行分析。使用XCMS软件通过多变量主成分分析(PCA)对每个馏分的数据进行分析。

结果

鉴定出了氨基酸、糖类、有机酸、辣椒素类和烃类。在主成分分析图中观察到包括P116(中国辣椒)、P46和P76(一年生辣椒)在内的异常种质,主要是因为它们的蔗糖和果糖含量较高。主成分分析还表明,P221(一年生辣椒)和P200(中国辣椒)由于其高含量的二氢辣椒素而分离。

结论

尽管代谢谱分析不能按物种进行分组,但它允许同时鉴定和定量几种化合物,补充并扩展了AGC中所研究辣椒属物种的代谢数据库。版权所有© 2017约翰威立父子有限公司。

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