NMR-Based Metabolomics for Geographical Discrimination of Adhatoda vasica Leaves

(L.), Nees is a widespread plant in Asia. It is used in Ayurvedic and Unani medications for the management of various infections and health disorders, especially as a decoction to treat cough, chronic bronchitis, and asthma. Although it has a diverse metabolomic profile, this plant is particularly k...

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Bibliographic Details
Published in:Plants (Basel) 2023-01, Vol.12 (3), p.453
Main Authors: Jahangir, Muhammad, Atta-Ur-Rehman, Abdel Farid, Ibrahim Bayoumi, Verpoorte, Robert, Khan, Imran, Peng, Jiangnan
Format: Article
Language:English
Subjects:
1H-NMR spectroscopy
Acetic acid
Adhatoda vasica
Alanine
Altitude
Asthma
Bronchitis
Cluster analysis
Clustering
Communication
Cough
Data analysis
Discriminant analysis
Discrimination
Environmental aspects
Fumaric acid
Genetic aspects
geographical variation
Herbal medicine
Ingredients
Kaempferol
Leaves
Linolenic acid
Magnetic resonance spectroscopy
Medicine
Metabolism
Metabolites
Metabolomics
Multivariate analysis
NMR
NMR spectroscopy
Nuclear magnetic resonance
Nuclear magnetic resonance spectroscopy
Organic chemicals
Physiological aspects
Plant resistance
Principal components analysis
Quality control
Quercetin
Secondary metabolites
Sucrose
Threonine
Valine
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Summary:(L.), Nees is a widespread plant in Asia. It is used in Ayurvedic and Unani medications for the management of various infections and health disorders, especially as a decoction to treat cough, chronic bronchitis, and asthma. Although it has a diverse metabolomic profile, this plant is particularly known for its alkaloids. The present study is the first to report a broad range of present compounds, e.g., α-linolenic acid, acetate, alanine, threonine, valine, glutamate, malate, fumaric acid, sucrose, β-glucose, kaempferol analogues, quercetin analogues, luteolin, flavone glucoside, vasicine and vasicinone, which were identified by NMR spectroscopy-based metabolomics. Multivariate data analysis was used to analyze H-NMR bucketed data from a number of leave samples collected from eight different regions in Pakistan. The results showed large variability in metabolomic fingerprints. The major difference was on the basis of longitude/latitude and altitude of the areas, with both primary and secondary metabolites discriminating the samples from various regions.
ISSN:2223-7747
2223-7747
DOI:10.3390/plants12030453