代谢组学
丹参
代谢组
化学
质谱成像
苯丙素
代谢途径
生物合成
质谱法
计算生物学
生物化学
色谱法
新陈代谢
生物
医学
病理
酶
中医药
替代医学
作者
Qi Tong,Chen Zhang,Yan Tu,Junfeng Chen,Qing Li,Zhen Zeng,Feiyan Wang,Lianna Sun,Doudou Huang,Mingming Li,Shi Qiu,Wansheng Chen
出处
期刊:Talanta
[Elsevier]
日期:2022-02-01
卷期号:238: 123045-123045
被引量:40
标识
DOI:10.1016/j.talanta.2021.123045
摘要
Defining the spatial distributions of metabolites and their structures are the two key aspects for interpreting the complexities of biosynthesis pathways in plants. As a means of obtaining information on the spatial distribution of metabolites, a strategy is needed that has high sensitivity and allows visualization. Toward this goal, we carried an untargeted metabolomics to obtain detailed metabolic information on different plant parts of Salvia miltiorrhiza, the roots of which are widely used in traditional Chinese medicine. Systematic optimization of desorption electrospray ionization mass spectrometry imaging (DESI-MSI) including parameter selection and sample preparation were carried out to improve the sensitivity of the method for plant samples. Guided by the metabolomics data, the spatial distributions of diverse metabolites, including phenolic acids, flavonoids, tanshinones, carbohydrates, and lipids, were characterized and visualized for both the underground and aerial parts. To integrate the information pertaining to the spatial distribution of metabolites, the flavonoids and phenolic acids (phenylpropanoid metabolic pathway) were chosen as examples for in-depth study the biosynthesis pathways in S. miltiorrhiza. The complementary data obtained from the metabolomics study and mass spectrometry imaging enabled the identification of key reactions involved in flavonoid biosynthesis in flowers, which lead the changes in metabolite distribution. The analysis also identified the core precursor for phenolic acid biosynthesis in Salvia species. Therefore, the powerful combination of metabolomics and mass spectrometry imaging provides a basis for obtaining detailed information on spatial metabolome and constitutes a platform for deep understanding the biosynthesis of bioactive metabolites in plants.
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