Literature DB >> 33288179

Metabolomic understanding of pod removal effect in soybean plants and potential association with their health benefit.

Dae-Yong Yun1, Young-Gyu Kang2, Myoyeon Kim2, Donghyun Kim2, Eun-Hee Kim3, Young-Shick Hong4.   

Abstract

Since natural materials, such as phytochemicals in plants, are increasingly being used for foods and skincare due to their beneficial functions, it is important for developing the cultivation practices to increase the contents of phytochemicals. We here explored metabolite perturbations in the leaves of soybean plants when their pods were removed during growth through 1H NMR-based metabolomics approach. There were obvious metabolic differences in the leaves between normal and pod-removed soybean plants. High amounts of primary metabolites in pod-removed soybean leaves, including amino acids, sugars, and fatty acids, reflected a delay of leaf senescence caused by pod removal. In particular, amounts of isoflavones, coumestrol, and apigenin derivatives in pod-removed soybean leaves were substantially increased. These were considered as distinct metabolic influences of pod removal in soybean plants. These results indicate that pod removal of soybean plants can induce significant perturbations of various metabolites in their soybean leaves, providing useful information to improve the quality of soybean leaves by increasing amounts of bioactive components.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Metabolism; Metabolomics; Nuclear magnetic resonance (NMR); Pod removal; Soybean leaf

Mesh:

Substances:

Year:  2020        PMID: 33288179     DOI: 10.1016/j.foodres.2020.109797

Source DB:  PubMed          Journal:  Food Res Int        ISSN: 0963-9969            Impact factor:   6.475


  2 in total

1.  Mass Biosynthesis of Coumestrol Derivatives and Their Isomers via Soybean Adventitious Root Cultivation in Bioreactors.

Authors:  Eun Jung Lee; Myoung Chong Song; Chan-Su Rha
Journal:  Front Plant Sci       Date:  2022-06-21       Impact factor: 6.627

2.  Correlation-Based Network Analysis of the Influence of Bemisia tabaci Feeding on Photosynthesis and Foliar Sugar and Starch Composition in Soybean.

Authors:  Inana X Schutze; Pedro T Yamamoto; José B Malaquias; Matthew Herritt; Alison Thompson; Paul Merten; Steve E Naranjo
Journal:  Insects       Date:  2022-01-05       Impact factor: 2.769

  2 in total

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