ArticlePloS one2024
Widely targeted metabolomics reveals differences in metabolites of Paeonia lactiflora cultivars.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Integrated Metabolomics and Network Pharmacology Reveal the Active Components and Potential Health-Beneficial Mechanisms of Different Jujube (Foods (Basel, Switzerland) · 2026Article
- Formation and Regulation Mechanism of Ascorbic Acid in Sweet Pepper and Chili Pepper at Different Growth Stages.Foods (Basel, Switzerland) · 2025Article
- Construction of a Multi-Omics database for Paeonia lactiflora: A resource for comprehensive data integration and analysis.BMC plant biology · 2025Article
- Prospective Approaches to the Sustainable Use of Peonies in Bulgaria.Plants (Basel, Switzerland) · 2025Review
- Intraspecific identification and genetic diversity analysis of Paeonia lactiflora based on chloroplast genes rpoB and psbK-psbI.Molecular biology reports · 2025Article
- Integrated physiological, microbial, and metabolomics analyses revealed the differences in different varieties ofFrontiers in plant science · 2025Article
- Combining widely targeted metabolomics and RNA-sequencing to reveal the function analysis ofFood chemistry. Molecular sciences · 2024Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPaeonia lactiflora contains diverse active constituents and exhibits various pharmacological activities. However, only partial identification of biologically active substances from P. lactiflora has been achieved using low-throughput techniques. Here, the roots of P. lactiflora, namely, Fenyunu (CK), Dafugui (DFG), and Red Charm (HSML), were studied. The primary and secondary metabolites were investigated using ultrahigh-performance liquid chromatography-electrospray ionization-tandem mass spectrometry (UPLC-ESIMS/MS).
methodsThe chemical compounds and categories were detected using broadly targeted UPLC-MS/MS. Principal component analysis (PCA), orthogonal partial least-squares discriminant analysis (OPLS-DA), and hierarchical clustering analysis (HCA) were carried out for metabolites of different varieties of P. lactiflora.
resultsA total of 1237 compounds were detected and classified into 11 categories. HCA, PCA, and OPLS-DA of these metabolites indicated that each variety of P. lactiflora was clearly separated from the other groups. Differential accumulated metabolite analysis revealed that the three P. lactiflora varieties contained 116 differentially activated metabolites (DAMs) involved in flavonoid, flavone, and flavonol metabolism. KEGG pathway analysis revealed that, in 65 pathways, 336 differentially abundant metabolites (DMs) were enriched in the CK and DFG groups; moreover, the type and content of terpenoids were greater in the CK group than in the DFG group. The CK and HSML groups contained 457 DMs enriched in 61 pathways; the type and amount of flavonoids, terpenoids, and tannins were greater in the CK group than in the HSML group. The DFG and HSML groups contained 497 DMs enriched in 65 pathways; terpenoids and alkaloids were more abundant in the HSML variety than in the DFG variety.
conclusionsA total of 1237 compounds were detected, and the results revealed significant differences among the three P. lactiflora varieties. Among the three P. lactiflora varieties, phenolic acids and flavonoids composed the largest and most diverse category of metabolites, and their contents varied greatly. Therefore, CK is suitable for medicinal plant varieties, and DFG and HSML are suitable for ornamental plant varieties. Twelve proanthocyanidin metabolites likely determined the differences in color among the three varieties.
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