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GC-MS 和 HPLC-MS 分析揭示三种不同生花生品种挥发性和非挥发性代谢物的差异。

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

机构信息

Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510316, China.

Guangdong Province Pesticide-Fertilizer Technology Research Center, Guangzhou 510316, China.

出版信息

Molecules. 2024 Nov 5;29(22):5230. doi: 10.3390/molecules29225230.

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.

摘要

本研究旨在全面分析和鉴定不同品种生花生的代谢产物,为不同品种花生的利用提供参考。本研究采用超高效液相色谱(UPLC)和基于串联质谱(MS)和固相微萃取-气相色谱-质谱联用技术(SPME-GC-MS)的广泛靶向代谢组学方法,对三个品种的花生(ZKH1H、ZKH13H 和 CFD)进行了研究。共检测到 417 种非挥发性和 55 种挥发性物质。非挥发性物质分为以下 10 类:有机酸及其衍生物(28.9%);有机含氧化合物(21.9%);脂质和类脂分子(12.6%);杂环有机化合物(9.9%);核苷、核苷酸及其类似物(9.4%);苯类化合物(7.8%);苯丙素和多酮类化合物(6.1%);有机氮化合物(2.7%);木脂素、新木脂素及其相关化合物(0.5%);生物碱及其衍生物(0.3%)。挥发性化合物(VOCs)分为以下 8 类:有机含氧化合物(24.1%);有机环状化合物(20.4%);有机氮化合物(13%);有机酸及其衍生物(13%);脂质和类脂分子(11.2%);苯类化合物(11.1%);碳氢化合物(3.7%);同质非金属化合物(3.7%)。通过多元统计分析,研究了不同花生品种(ZKH13H 与 CFD、ZKH1H 与 CFD、ZKH1H 与 ZKH13H)之间差异丰度代谢物,分别鉴定出 213、204 和 157 种非挥发性差异丰度代谢物,以及 12、11 和 10 种挥发性差异丰度代谢物。对差异非 VOCs 的 KEGG 代谢途径分析表明,ZKH13H 与 CFD、ZKH1H 与 CFD、ZKH1H 与 ZKH13H 之间最显著的代谢途径是半乳糖代谢、嘌呤代谢和氨酰-tRNA,而氮代谢途径被确定为 VOCs 的显著代谢途径。本研究结果为这三个花生品种的开发利用以及新花生品种的培育提供了理论基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08f4/11596408/1f2a52ad6be7/molecules-29-05230-g001.jpg

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