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PMID: 39598620 Published · epublish English Journal Article

Widely Targeted Metabolomics Method Reveals Differences in Volatile and Nonvolatile Metabolites in Three Different Varieties of Raw Peanut by GC-MS and HPLC-MS.

Molecules (Basel, Switzerland) ·Vol. 29 ·No. 22 ·2024-11-05

Fu J, An Y, Yao D, Chen L, Zhou L, Shen D, Dai S, Lu Y, Sun D

Abstract

The aim of the present study was to comprehensively analyze and identify the metabolites of different varieties of raw peanut, as well as provide a reference for the utilization of different varieties of peanuts. In this study, three varieties of peanuts, namely ZKH1H, ZKH13H, and CFD, were investigated via ultrahigh-performance liquid chromatography (UPLC) and widely targeted metabolomics methods based on tandem mass spectrometry (MS) and solid-phase microextraction-gas chromatography-mass spectrometry (SPME-GC-MS). In total, 417 nonvolatile and 55 volatile substances were detected. The nonvolatile substances were classified into the following 10 categories: organic acids and derivatives (28.9%); organic oxygen compounds (21.9%); lipids and lipid-like molecules (12.6%); organoheterocyclic compounds (9.9%); nucleosides, nucleotides, and analogues (9.4%); benzenoids (7.8%); phenylpropanoids and polyketides (6.1%); organic nitrogen compounds (2.7%); lignans, neolignans, and related compounds (0.5%); and alkaloids and their derivatives (0.3%). The volatile compounds (VOCs) were classified into the following eight categories: organic oxygen compounds (24.1%); organic cyclic compounds (20.4%); organic nitrogen compounds (13%); organic acids and their derivatives (13%); lipids and lipid-like molecules (11.2%); benzenoids (11.1%); hydrocarbons (3.7%); and homogeneous non-metallic compounds (3.7%). Differentially abundant metabolites among the different peanut varieties (ZKH13H vs. CFD, ZKH1H vs. CFD, and ZKH1H vs. ZKH13H) were investigated via multivariate statistical analyses, which identified 213, 204, and 157 nonvolatile differentially abundant metabolites, respectively, and 12, 11, and 10 volatile differentially abundant metabolites, respectively. KEGG metabolic pathway analyses of the differential non-VOCs revealed that the most significant metabolic pathways among ZKH13H vs. CFD, ZKH1H vs. CFD, and ZKH1H vs. ZKH13H were galactose metabolism, purine metabolism, and aminoacyl-tRNA, while the nitrogen metabolism pathway was identified as a significant metabolic pathway for the VOCs. The present findings provide a theoretical foundation for the development and utilization of these three peanut species, as well as for the breeding of new peanut varieties.

Keywords
nonvolatile metabolites raw peanut variety volatile metabolites widely targeted metabolome
MeSH 主题词
Gas Chromatography-Mass Spectrometry/methods Metabolomics/methods Volatile Organic Compounds/analysis,metabolism Arachis/metabolism,chemistry Chromatography, High Pressure Liquid/methods Metabolome Solid Phase Microextraction Liquid Chromatography-Mass Spectrometry
化学物质
Volatile Organic Compounds
作者与单位
共 9 位作者,点击展开单位 / ORCID
Fu Jiantao
Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510316, China. | Guangdong Province Pesticide-Fertilizer Technology Research Center, Guangzhou 510316, China.
An Yuxing
Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510316, China. | Guangdong Province Pesticide-Fertilizer Technology Research Center, Guangzhou 510316, China.
Yao Dao
Heyuan Provincial Academy of Sciences Research Institute, Guangdong Academy of Sciences, Heyuan 517001, China.
Chen Lijun
Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510316, China. | Guangdong Province Pesticide-Fertilizer Technology Research Center, Guangzhou 510316, China.
Zhou Liwen
Heyuan Provincial Academy of Sciences Research Institute, Guangdong Academy of Sciences, Heyuan 517001, China.
Shen Dachun
Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510316, China. | Guangdong Province Pesticide-Fertilizer Technology Research Center, Guangzhou 510316, China.
Dai Sixing
Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510316, China. | Guangdong Province Pesticide-Fertilizer Technology Research Center, Guangzhou 510316, China.
Lu Yinglin
Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510316, China. | Guangdong Province Pesticide-Fertilizer Technology Research Center, Guangzhou 510316, China.
Sun Donglei
Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510316, China. | Guangdong Province Pesticide-Fertilizer Technology Research Center, Guangzhou 510316, China.
Article Info
Journal
Molecules (Basel, Switzerland)
Abbr.
Molecules
ISSN
1420-3049
Published
2024-11-05
电子出版
2024-00-05
Language
English
Country/Region
Switzerland
NLM ID
100964009
基金资助
Guangdong Academy of Sciences Project of Science and Technology Development · 2023GDASQNRC-0307
Guangdong Academy of Sciences Project of Science and Technology Development · 2020GDASZH-2022030604-05
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