Chemotaxonomic Classification Applied to the Identification of Two Closely-Related Citrus TCMs Using UPLC-Q-TOF-MS-Based Metabolomics

Overview

Journal Molecules

Publisher MDPI

Specialty Biology

Date 2017 Oct 14

PMID 29027971

Citations 13

Authors

Si-Yu Zhao

Zhen-Li Liu

Yi-Song Shu

Meng-Lei Wang

Dan He

Zhi-Qian Song

Hong-Lian Zeng

Zhang-Chi Ning

Cheng Lu

Ai-Ping Lu

Yuan-Yan Liu

Affiliations

Soon will be listed here.

Abstract

This manuscript elaborates on the establishment of a chemotaxonomic classification strategy for closely-related fruits in Traditional Chinese Medicines (TCMs). UPLC-Q-TOF-MS-based metabolomics was applied to depict the variable chemotaxonomic markers and elucidate the metabolic mechanism of TCMs from different species and at different ripening stages. Metabolomics can capture a comprehensive analysis of small molecule metabolites and can provide a powerful approach to establish metabolic profiling, creating a bridge between genotype and phenotype. To further investigate the different metabolites in four closely-related TCMs, non-targeted metabolite profiling analysis was employed as an efficient technique to profile the primary and secondary metabolites. The results presented in this manuscript indicate that primary metabolites enable the discrimination of species, whereas secondary metabolites are associated with species and the ripening process. In addition, analysis of the biosynthetic pathway highlighted that the syntheses of flavone and flavone glycosides are deeply affected in ripening stages. Ultimately, this work might provide a feasible strategy for the authentication of fruits from different species and ripening stages and facilitate a better understanding of their different medicinal uses.

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