Literature DB >> 34801902

Biosynthesis-based spatial metabolome of Salvia miltiorrhiza Bunge by combining metabolomics approaches with mass spectrometry-imaging.

Qi Tong1, Chen Zhang2, Yan Tu3, Junfeng Chen4, Qing Li5, Zhen Zeng6, Feiyan Wang7, Lianna Sun8, Doudou Huang9, Mingming Li10, Shi Qiu11, Wansheng Chen12.   

Abstract

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.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biosynthesis pathway; Mass spectrometry imaging; Metabolomics; Phenolic acids; Salvia miltiorrhiza Bunge

Mesh:

Year:  2021        PMID: 34801902     DOI: 10.1016/j.talanta.2021.123045

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  5 in total

1.  Mass spectrometry imaging: new eyes on natural products for drug research and development.

Authors:  Jin-Jun Hou; Zi-Jia Zhang; Wen-Yong Wu; Qing-Qing He; Teng-Qian Zhang; Ya-Wen Liu; Zhao-Jun Wang; Lei Gao; Hua-Li Long; Min Lei; Wan-Ying Wu; De-An Guo
Journal:  Acta Pharmacol Sin       Date:  2022-10-13       Impact factor: 7.169

2.  Computational Workflow to Study the Diversity of Secondary Metabolites in Fourteen Different Isatis Species.

Authors:  Doudou Huang; Chen Zhang; Junfeng Chen; Ying Xiao; Mingming Li; Lianna Sun; Shi Qiu; Wansheng Chen
Journal:  Cells       Date:  2022-03-06       Impact factor: 6.600

3.  Desorption Electrospray Ionization Mass Spectrometry Imaging Illustrates the Quality Characters of Isatidis Radix.

Authors:  Li-Xing Nie; Lie-Yan Huang; Xin-Ping Wang; Lin-Feng Lv; Xue-Xin Yang; Xiao-Fei Jia; Shuai Kang; Ling-Wen Yao; Zhong Dai; Shuang-Cheng Ma
Journal:  Front Plant Sci       Date:  2022-06-15       Impact factor: 6.627

4.  Untargeted LC-MS/MS-Based Metabolomic Profiling for the Edible and Medicinal Plant Salvia miltiorrhiza Under Different Levels of Cadmium Stress.

Authors:  Jun Yuan; Rongpeng Liu; Shasha Sheng; Haihui Fu; Xiaoyun Wang
Journal:  Front Plant Sci       Date:  2022-07-28       Impact factor: 6.627

5.  Transgelin-2 Involves in the Apoptosis of Colorectal Cancer Cells Induced by Tanshinone-IIA.

Authors:  Yingru Zhang; Yiyang Zhao; Jingwen Liu; Chunpu Li; Ying Feng; Shasha Jiang; Xiaoting Sun; Xueqing Hu; Yan Wang
Journal:  Anal Cell Pathol (Amst)       Date:  2022-09-27       Impact factor: 4.133

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.