An Untargeted Metabolomics Approach to Study the Variation between Wild and Cultivated Soybeans
-
Published:2023-07-19
Issue:14
Volume:28
Page:5507
-
ISSN:1420-3049
-
Container-title:Molecules
-
language:en
-
Short-container-title:Molecules
Author:
Tareq Fakir Shahidullah1ORCID, Kotha Raghavendhar R.1, Natarajan Savithiry2, Sun Jianghao1ORCID, Luthria Devanand L.1ORCID
Affiliation:
1. Methods and Application of Food Composition Laboratory, Beltsville Human Nutrition Research Center, Agricultural Research Service, U.S. Department of Agriculture, Beltsville, MD 20705, USA 2. Soybean Genomics and Improvement Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, U.S. Department of Agriculture, Beltsville, MD 20705, USA
Abstract
The differential metabolite profiles of four wild and ten cultivated soybeans genotypes were explored using an untargeted metabolomics approach. Ground soybean seed samples were extracted with methanol and water, and metabolic features were obtained using ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-HRMS) in both positive and negative ion modes. The UHPLC-HRMS analysis of the two different extracts resulted in the putative identification of 98 metabolites belonging to several classes of phytochemicals, including isoflavones, organic acids, lipids, sugars, amino acids, saponins, and other compounds. The metabolic profile was significantly impacted by the polarity of the extraction solvent. Multivariate analysis showed a clear difference between wild and cultivated soybean cultivars. Unsupervised and supervised learning algorithms were applied to mine the generated data and to pinpoint metabolites differentiating wild and cultivated soybeans. The key identified metabolites differentiating wild and cultivated soybeans were isoflavonoids, free amino acids, and fatty acids. Catechin analogs, cynaroside, hydroxylated unsaturated fatty acid derivatives, amino acid, and uridine diphosphate-N-acetylglucosamine were upregulated in the methanol extract of wild soybeans. In contrast, isoflavonoids and other minor compounds were downregulated in the same soybean extract. This metabolic information will benefit breeders and biotechnology professionals to develop value-added soybeans with improved quality traits.
Funder
Agricultural Research Service, US Department of Agriculture
Subject
Chemistry (miscellaneous),Analytical Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Molecular Medicine,Drug Discovery,Pharmaceutical Science
Reference38 articles.
1. (2023, March 22). Available online: https://ourworldindata.org/soy. 2. do Prado, F.G., Pagnoncelli, M.G.B., de Melo Pereira, G.V., Karp, S.G., and Soccol, C.R. (2022). Fermented soy products and their potential health benefits: A Review. Microorganisms, 10. 3. Compound growth rate (CGR) of area, production & productivity of soybean in Chhattisgarh state;Verma;Pharma Innov.,2023 4. (2023, March 21). Available online: https://www.nass.usda.gov/Newsroom/2023/01-12-2023.php. 5. Kim, I.S., Kim, C.H., and Yang, W.S. (2021). Physiologically active molecules and functional properties of soybeans in human health—A current perspective. Int. J. Mol. Sci., 22.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|