Mass spectrometry metabolomics and feature-based molecular networking reveals population-specific chemistry in some species of the Sceletium genus

dc.contributor.authorReddy, Kaylan
dc.contributor.authorStander, Marietjie A.
dc.contributor.authorStafford, Gary I.
dc.contributor.authorMakunga, Nokwanda P.
dc.date.accessioned2022-11-01T09:39:44Z
dc.date.available2022-11-01T09:39:44Z
dc.date.issued2022-03-29
dc.description.abstractThe Sceletium genus has been of medicinal importance in southern Africa for millennia and Sceletium tortuosum (Aizoaceae), one of eight species in the genus has gained pharmaceutical importance as an anxiolytic and anti-depressant due to the presence of mesembrine alkaloids. S. tortuosum is used for the manufacture of herbal teas, dietary supplements and other phytopharmaceutical products. This study aimed to provide a metabolomic characterization of S. tortuosum and its sister species as these are not easy to distinguish using morphology alone. Plant samples were thus collected from various locations in the succulent Karoo (South Africa) and analyzed through liquid chromatography-mass spectrometry (LC-MS), using MSE fragmentation as a putative tool for chemical identities. Metabolomics-based analyses in combination with molecular networking were able to distinguish between the four species of Sceletium based on the presence of 4-(3,4-dimethyoxyphenyl)-4-[2-acetylmethlamino)ethyl]cyclohexanone (m/z 334.2020; RT 6.60 min), mesembrine (m/z 290.1757; RT 5.10 min) and 4’-O-demethylmesembrenol (m/z 276.1597; RT 4.17 min). Metabolomic profiles varied according to the different localities and metabolites occurred at variable quantitative levels in Sceletium ecotypes. Molecular networking provided the added advantage of being able to observe mesembrine alkaloid isomers and coeluting metabolites (from the joubertiamine group) that were difficult to discern without this application. By combining high-throughput metabolomics together with global and feature basedmolecular networking, a powerful metabolite profiling platform that is able to discern chemical patterns within and between populations was established. These techniques were able to reveal chemotaxonomic relationships and allowed for the discovery of chemical markers that may be used as part of monitoring protocols during the manufacture of phytopharmaceutical and dietary products based on Sceletium.en_US
dc.description.departmentPlant Production and Soil Scienceen_US
dc.description.librariandm2022en_US
dc.description.sponsorshipThe National Research Foundation of South Africa and Medical Research Council (South Africa).en_US
dc.description.urihttp://frontiersin.org/Nutritionen_US
dc.identifier.citationReddy, K., Stander, M.A., Stafford, G.I. & Makunga, N.P. (2022) Mass Spectrometry Metabolomics and Feature-Based Molecular Networking Reveals Population-Specific Chemistry in Some Species of the Sceletium Genus. Frontiers in Nutrition 9:819753. doi: 10.3389/fnut.2022.819753.en_US
dc.identifier.issn2296-861X (online)
dc.identifier.other10.3389/fnut.2022.819753
dc.identifier.urihttps://repository.up.ac.za/handle/2263/88050
dc.language.isoenen_US
dc.publisherFrontiers Media S.A.en_US
dc.rights© 2022 Reddy, Stander, Stafford and Makunga. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).en_US
dc.subjectAlkaloid chemistryen_US
dc.subjectEco-metabolomicsen_US
dc.subjectKannaen_US
dc.subjectKougoeden_US
dc.subjectMesembrineen_US
dc.subjectMolecular networksen_US
dc.titleMass spectrometry metabolomics and feature-based molecular networking reveals population-specific chemistry in some species of the Sceletium genusen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 3 of 3
Loading...
Thumbnail Image
Name:
Reddy_Mass_2022.pdf
Size:
4.73 MB
Format:
Adobe Portable Document Format
Description:
Article
Loading...
Thumbnail Image
Name:
Reddy_MassSuppl_2022.zip
Size:
1.78 MB
Format:
Unknown data format
Description:
Supplementary Material
Loading...
Thumbnail Image
Name:
Reddy_MassCorr_2022.pdf
Size:
612.45 KB
Format:
Adobe Portable Document Format
Description:
Corrigendum

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: