Non-targeted Metabolomics Analysis of Metabolite Differences amongst Different Parts of Physalis alkekengi L. var. franchetii

Non-targeted metabolomics techniques were used to analyze the metabolite differences in the calyx, fruit, stem, and root of Physalis alkekengi L. var. franchetii (PAVF). The metabolomic profiles of PAVF were investigated by UHPLC-Q-Orbitrap HRMS with PCA, OPLS-DA, HCA, and metabolite and metabolic pathway difference analysis. The results showed that 1416 metabolites were detected, with the highest proportion of organic acids, alkaloids, and amino acids and their derivatives. The results of multivariate statistical analysis showed that there were significant differences amongst different parts of PAVF. The calyx contained high flavonoids, phenylpropanoids, and vitamins. The fruit contained high organic acids, alkaloids, and steroids. The stem contained high terpenes, flavonoids, esters, and phenolic acids. The root contained high sugars, lipids, and amino acids and their derivatives. OPLS-DA analysis identified 113 differential metabolites (VIP>1.7 and P<0.05), with the highest proportion of organic acids, alkaloids, and lipids, which were mainly involved in the metabolic pathways of unsaturated fatty acid biosynthesis, citrate cycle, and pyruvate metabolism. Twenty percent of the flavonoids identified were differential metabolites, and such components had the largest proportion of variation among differential metabolites. This study may provide a theoretical reference for the composition differences and efficient resource utilization of PAVF.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-10-01
DOI
https://doi.org/10.13386/j.issn1002-0306.2024100193
Primary Topic
Food Security and Health in Diverse Populations
Type
article
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article

Non-targeted Metabolomics Analysis of Metabolite Differences amongst Different Parts of Physalis alkekengi L. var. franchetii

SHILAP Revista de lepidopterología
Food Security and Health in Diverse Populations
article

Non-targeted Metabolomics Analysis of Metabolite Differences amongst Different Parts of Physalis alkekengi L. var. franchetii

article en

Abstract

Non-targeted metabolomics techniques were used to analyze the metabolite differences in the calyx, fruit, stem, and root of Physalis alkekengi L. var. franchetii (PAVF). The metabolomic profiles of PAVF were investigated by UHPLC-Q-Orbitrap HRMS with PCA, OPLS-DA, HCA, and metabolite and metabolic pathway difference analysis. The results showed that 1416 metabolites were detected, with the highest proportion of organic acids, alkaloids, and amino acids and their derivatives. The results of multivariate statistical analysis showed that there were significant differences amongst different parts of PAVF. The calyx contained high flavonoids, phenylpropanoids, and vitamins. The fruit contained high organic acids, alkaloids, and steroids. The stem contained high terpenes, flavonoids, esters, and phenolic acids. The root contained high sugars, lipids, and amino acids and their derivatives. OPLS-DA analysis identified 113 differential metabolites (VIP>1.7 and P<0.05), with the highest proportion of organic acids, alkaloids, and lipids, which were mainly involved in the metabolic pathways of unsaturated fatty acid biosynthesis, citrate cycle, and pyruvate metabolism. Twenty percent of the flavonoids identified were differential metabolites, and such components had the largest proportion of variation among differential metabolites. This study may provide a theoretical reference for the composition differences and efficient resource utilization of PAVF.

SHILAP Revista de lepidopterología
Chinese Academy of Agricultural Sciences (CN), Jilin Agricultural Science and Technology University (CN), Institute of Special Animal and Plant Sciences (CN)
Decent work and economic growth
Openalex Percentile: Top 33%
Food Security and Health in Diverse Populations
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Non-targeted Metabolomics Analysis of Metabolite Differences amongst Different Parts of Physalis alkekengi L. var. franchetii · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS