Chemotaxonomic Classification Applied to the Identification of Two Closely-Related Citrus TCMs Using UPLC-Q-TOF-MS-Based Metabolomics.
Chemotaxonomic Classification Applied to the Identification of Two Closely-Related Citrus TCMs Using UPLC-Q-TOF-MS-Based Metabolomics.
复制标题
使用基于 UPLC-Q-TOF-MS 的代谢组学将化学分类学分类应用于两种密切相关的柑橘类中药的鉴定
DOI:
10.3390/molecules22101721
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发表时间:
2017-10-13
期刊:
影响因子:
--
通讯作者:
Liu YY
中科院分区:
文献类型:
--
作者:
Zhao SY;Liu ZL;Shu YS;Wang ML;He D;Song ZQ;Zeng HL;Ning ZC;Lu C;Lu AP;Liu YY
This manuscript elaborates on the establishment of a chemotaxonomic classification strategy for closely-related Citrus 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 Citrus 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 Citrus 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 Citrus ripening stages. Ultimately, this work might provide a feasible strategy for the authentication of Citrus fruits from different species and ripening stages and facilitate a better understanding of their different medicinal uses.
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影响因子:
6.2
作者:
Kim, Young Mi;Lee, Joongku;Lee, Choong Hwan
通讯作者:
Lee, Choong Hwan
影响因子:
6.1
作者:
Dai, Weidong;Qi, Dandan;Lin, Zhi
通讯作者:
Lin, Zhi
影响因子:
--
作者:
Lv X;Zhao S;Ning Z;Zeng H;Shu Y;Tao O;Xiao C;Lu C;Liu Y
通讯作者:
Liu Y
影响因子:
4.6
作者:
Jia HM;Li Q;Zhou C;Yu M;Yang Y;Zhang HW;Ding G;Shang H;Zou ZM
通讯作者:
Zou ZM
影响因子:
4.1
作者:
Guo, Sheng;Duan, Jin-ao;Shang, Erxin
通讯作者:
Shang, Erxin