Visualizing the Distribution of Lipids in Peanut Seeds by MALDI Mass Spectrometric Imaging

Peanut (also called groundnut, <i>Arachis hypogaea</i> L.) seeds are used for producing edible oils and functional foods, and offer a rich source of lipids, proteins and carbohydrates. However, the location of these metabolites has not yet been firmly established. In the present study, t...

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Main Authors: Xin Wang, Yuning Chen, Yue Liu, Lei Ouyang, Ruonan Yao, Zhihui Wang, Yanping Kang, Liying Yan, Dongxin Huai, Huifang Jiang, Yong Lei, Boshou Liao
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Foods
Subjects:
Online Access:https://www.mdpi.com/2304-8158/11/23/3888
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author Xin Wang
Yuning Chen
Yue Liu
Lei Ouyang
Ruonan Yao
Zhihui Wang
Yanping Kang
Liying Yan
Dongxin Huai
Huifang Jiang
Yong Lei
Boshou Liao
author_facet Xin Wang
Yuning Chen
Yue Liu
Lei Ouyang
Ruonan Yao
Zhihui Wang
Yanping Kang
Liying Yan
Dongxin Huai
Huifang Jiang
Yong Lei
Boshou Liao
author_sort Xin Wang
collection DOAJ
description Peanut (also called groundnut, <i>Arachis hypogaea</i> L.) seeds are used for producing edible oils and functional foods, and offer a rich source of lipids, proteins and carbohydrates. However, the location of these metabolites has not yet been firmly established. In the present study, the matrix-assisted laser desorption/ionization mass spectrometric imaging (MALDI-MSI) technique was applied to investigate spatial distribution of lipids and other key components in seeds of three peanut cultivars (ZH9, KQBH, HP). A total of 103 metabolites, including 34 lipid compounds, were putatively identified by MALDI-MSI. The abundance and spatial distribution of glycerolipids (GLs) and glycerophospholipids (GPs) were compared among the three peanut cultivars. All the identified lysophosphatidylcholine (LPC), phosphatidylethanolamine (PE) and phosphatidylcholines (PCs) were distributed mainly in the inner part of seeds. The visualization of phosphatidic acids (PAs) and triacylglycerols (TGs) revealed a dramatic metabolic heterogeneity between the different tissues making up the seed. The non-homogeneous spatial distribution of metabolites appeared to be related to the different functions of particular tissue regions. These results indicated that MALDI-MSI could be useful for investigating the lipids of foodstuffs from a spatial perspective. The present study may contribute to the development of oil crops with higher oil yields, and to improvement of food processing.
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spelling doaj.art-a7ebe733d90142b8b20bf12c20a9b7992023-11-24T11:00:16ZengMDPI AGFoods2304-81582022-12-011123388810.3390/foods11233888Visualizing the Distribution of Lipids in Peanut Seeds by MALDI Mass Spectrometric ImagingXin Wang0Yuning Chen1Yue Liu2Lei Ouyang3Ruonan Yao4Zhihui Wang5Yanping Kang6Liying Yan7Dongxin Huai8Huifang Jiang9Yong Lei10Boshou Liao11Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, ChinaPeanut (also called groundnut, <i>Arachis hypogaea</i> L.) seeds are used for producing edible oils and functional foods, and offer a rich source of lipids, proteins and carbohydrates. However, the location of these metabolites has not yet been firmly established. In the present study, the matrix-assisted laser desorption/ionization mass spectrometric imaging (MALDI-MSI) technique was applied to investigate spatial distribution of lipids and other key components in seeds of three peanut cultivars (ZH9, KQBH, HP). A total of 103 metabolites, including 34 lipid compounds, were putatively identified by MALDI-MSI. The abundance and spatial distribution of glycerolipids (GLs) and glycerophospholipids (GPs) were compared among the three peanut cultivars. All the identified lysophosphatidylcholine (LPC), phosphatidylethanolamine (PE) and phosphatidylcholines (PCs) were distributed mainly in the inner part of seeds. The visualization of phosphatidic acids (PAs) and triacylglycerols (TGs) revealed a dramatic metabolic heterogeneity between the different tissues making up the seed. The non-homogeneous spatial distribution of metabolites appeared to be related to the different functions of particular tissue regions. These results indicated that MALDI-MSI could be useful for investigating the lipids of foodstuffs from a spatial perspective. The present study may contribute to the development of oil crops with higher oil yields, and to improvement of food processing.https://www.mdpi.com/2304-8158/11/23/3888peanutmass spectrometry imagingspatial distributionlipidmetabolite
spellingShingle Xin Wang
Yuning Chen
Yue Liu
Lei Ouyang
Ruonan Yao
Zhihui Wang
Yanping Kang
Liying Yan
Dongxin Huai
Huifang Jiang
Yong Lei
Boshou Liao
Visualizing the Distribution of Lipids in Peanut Seeds by MALDI Mass Spectrometric Imaging
Foods
peanut
mass spectrometry imaging
spatial distribution
lipid
metabolite
title Visualizing the Distribution of Lipids in Peanut Seeds by MALDI Mass Spectrometric Imaging
title_full Visualizing the Distribution of Lipids in Peanut Seeds by MALDI Mass Spectrometric Imaging
title_fullStr Visualizing the Distribution of Lipids in Peanut Seeds by MALDI Mass Spectrometric Imaging
title_full_unstemmed Visualizing the Distribution of Lipids in Peanut Seeds by MALDI Mass Spectrometric Imaging
title_short Visualizing the Distribution of Lipids in Peanut Seeds by MALDI Mass Spectrometric Imaging
title_sort visualizing the distribution of lipids in peanut seeds by maldi mass spectrometric imaging
topic peanut
mass spectrometry imaging
spatial distribution
lipid
metabolite
url https://www.mdpi.com/2304-8158/11/23/3888
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