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Visualizing the Distribution of Lipids in Peanut Seeds by MALDI Mass Spectrometric Imaging
Peanut (also called groundnut, Arachis hypogaea 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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739101/ https://www.ncbi.nlm.nih.gov/pubmed/36496696 http://dx.doi.org/10.3390/foods11233888 |
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author | Wang, Xin Chen, Yuning Liu, Yue Ouyang, Lei Yao, Ruonan Wang, Zhihui Kang, Yanping Yan, Liying Huai, Dongxin Jiang, Huifang Lei, Yong Liao, Boshou |
author_facet | Wang, Xin Chen, Yuning Liu, Yue Ouyang, Lei Yao, Ruonan Wang, Zhihui Kang, Yanping Yan, Liying Huai, Dongxin Jiang, Huifang Lei, Yong Liao, Boshou |
author_sort | Wang, Xin |
collection | PubMed |
description | Peanut (also called groundnut, Arachis hypogaea 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. |
format | Online Article Text |
id | pubmed-9739101 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97391012022-12-11 Visualizing the Distribution of Lipids in Peanut Seeds by MALDI Mass Spectrometric Imaging Wang, Xin Chen, Yuning Liu, Yue Ouyang, Lei Yao, Ruonan Wang, Zhihui Kang, Yanping Yan, Liying Huai, Dongxin Jiang, Huifang Lei, Yong Liao, Boshou Foods Communication Peanut (also called groundnut, Arachis hypogaea 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. MDPI 2022-12-01 /pmc/articles/PMC9739101/ /pubmed/36496696 http://dx.doi.org/10.3390/foods11233888 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Wang, Xin Chen, Yuning Liu, Yue Ouyang, Lei Yao, Ruonan Wang, Zhihui Kang, Yanping Yan, Liying Huai, Dongxin Jiang, Huifang Lei, Yong Liao, Boshou Visualizing the Distribution of Lipids in Peanut Seeds by MALDI Mass Spectrometric Imaging |
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 | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739101/ https://www.ncbi.nlm.nih.gov/pubmed/36496696 http://dx.doi.org/10.3390/foods11233888 |
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