4.7 Article

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

Journal

FOODS
Volume 11, Issue 23, Pages -

Publisher

MDPI
DOI: 10.3390/foods11233888

Keywords

peanut; mass spectrometry imaging; spatial distribution; lipid; metabolite

Funding

  1. National Natural Science Foundation of China (NSFC) [32170278]
  2. Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences (CAAS-ASTIP) [2022-2060299-089-031]
  3. Key Research and Development Program of Hubei [2021BBA077]

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The spatial distribution of lipids and other key components in three peanut cultivars was investigated using the MALDI-MSI technique. The study revealed a non-homogeneous spatial distribution of metabolites, which is related to the different functions of particular tissue regions. These findings have implications for the development of oil crops with higher oil yields and improvement of food processing.
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.

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