Tong Qi, Zhang Chen, Tu Yan, Chen Junfeng, Li Qing, Zeng Zhen, Wang Feiyan, Sun Lianna, Huang Doudou, Li Mingming, Qiu Shi, Chen Wansheng
Research and Development Center of Chinese Medicine Resources and Biotechnology, The Ministry of Education (MOE) Key Laboratory for Standardization of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Department of Pharmacy, Changzheng Hospital, Second Military Medical University, Shanghai, 200433, China.
Talanta. 2022 Feb 1;238(Pt 2):123045. doi: 10.1016/j.talanta.2021.123045. Epub 2021 Nov 9.
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.
确定代谢物的空间分布及其结构是解释植物生物合成途径复杂性的两个关键方面。作为获取代谢物空间分布信息的一种手段,需要一种具有高灵敏度并能实现可视化的策略。为实现这一目标,我们开展了非靶向代谢组学研究,以获取丹参不同植物部位的详细代谢信息,丹参的根在传统中药中广泛应用。我们对解吸电喷雾电离质谱成像(DESI-MSI)进行了系统优化,包括参数选择和样品制备,以提高该方法对植物样品的灵敏度。在代谢组学数据的指导下,对包括酚酸、黄酮类、丹参酮、碳水化合物和脂质在内的多种代谢物在地下部分和地上部分的空间分布进行了表征和可视化。为整合与代谢物空间分布相关的信息,选择黄酮类和酚酸(苯丙烷代谢途径)作为例子,深入研究丹参中的生物合成途径。从代谢组学研究和质谱成像获得的互补数据,使得能够鉴定花中黄酮类生物合成所涉及的关键反应,这些反应导致了代谢物分布的变化。该分析还确定了丹参属植物中酚酸生物合成的核心前体。因此,代谢组学和质谱成像的强大结合为获取空间代谢组的详细信息提供了基础,并构成了深入理解植物中生物活性代谢物生物合成的平台。