» Articles » PMID: 37843807

Advances in Mass Spectrometry-Metabolomics Based Approaches

Overview
Date 2023 Oct 16
PMID 37843807
Authors
Affiliations
Soon will be listed here.
Abstract

Highly selective and sensitive analytical techniques are necessary for microbial metabolomics due to the complexity of the microbial sample matrix. Hence, mass spectrometry (MS) has been successfully applied in microbial metabolomics due to its high precision, versatility, sensitivity, and wide dynamic range. The different analytical tools using MS have been employed in microbial metabolomics investigations and can contribute to the discovery or accelerate the search for bioactive substances. The coupling with chromatographic and electrophoretic separation techniques has resulted in more efficient technologies for the analysis of microbial compounds occurring in trace levels. This book chapter describes the current advances in the application of mass spectrometry-based metabolomics in the search for new biologically active agents from microbial sources; the development of new approaches for in silico annotation of natural products; the different technologies employing mass spectrometry imaging to deliver more comprehensive analysis and elucidate the metabolome involved in ecological interactions as they enable visualization of the spatial dispersion of small molecules. We also describe other ambient ionization techniques applied to the fingerprint of microbial natural products and modern techniques such as ion mobility mass spectrometry used to microbial metabolomic analyses and the dereplication of natural microbial products through MS.

Citing Articles

Network Topology Evaluation and Transitive Alignments for Molecular Networking.

Wang X, Strobel M, Aron A, Phelan V, Acharya D, Brown C J Am Soc Mass Spectrom. 2024; 35(9):2165-2175.

PMID: 39133821 PMC: 11516331. DOI: 10.1021/jasms.4c00208.

References
1.
Bader C, Haack P, Panter F, Krug D, Muller R . Expanding the Scope of Detectable Microbial Natural Products by Complementary Analytical Methods and Cultivation Systems. J Nat Prod. 2021; 84(2):268-277. DOI: 10.1021/acs.jnatprod.0c00942. View

2.
Bauermeister A, Mannochio-Russo H, Costa-Lotufo L, Jarmusch A, Dorrestein P . Mass spectrometry-based metabolomics in microbiome investigations. Nat Rev Microbiol. 2021; 20(3):143-160. PMC: 9578303. DOI: 10.1038/s41579-021-00621-9. View

3.
Beniddir M, Kang K, Genta-Jouve G, Huber F, Rogers S, van der Hooft J . Advances in decomposing complex metabolite mixtures using substructure- and network-based computational metabolomics approaches. Nat Prod Rep. 2021; 38(11):1967-1993. PMC: 8597898. DOI: 10.1039/d1np00023c. View

4.
Blazenovic I, Kind T, Ji J, Fiehn O . Software Tools and Approaches for Compound Identification of LC-MS/MS Data in Metabolomics. Metabolites. 2018; 8(2). PMC: 6027441. DOI: 10.3390/metabo8020031. View

5.
Bouslimani A, Sanchez L, Garg N, Dorrestein P . Mass spectrometry of natural products: current, emerging and future technologies. Nat Prod Rep. 2014; 31(6):718-29. PMC: 4161218. DOI: 10.1039/c4np00044g. View