Literature DB >> 27356159

Distinctive Metabolism of Flavonoid between Cultivated and Semiwild Soybean Unveiled through Metabolomics Approach.

Dae-Yong Yun1, Young-Gyu Kang2, Bohyun Yun1, Eun-Hee Kim3, Myoyeon Kim2, Jun Seong Park2, John Hwan Lee2, Young-Shick Hong1.   

Abstract

Soybeans are an important crop for agriculture and food, resulting in an increase in the range of its application. Recently, soybean leaves have been used not only for food products but also in the beauty industry. To provide useful and global metabolite information on the development of soy-based products, we investigated the metabolic evolution and cultivar-dependent metabolite variation in the leaves of cultivated (Glycine max) and semiwild (G. gracilis) soybean, through a (1)H NMR-based metabolomics approach, as they grew from V (vegetative) 1 to R (reproductive) 7 growth stages. The levels of primary metabolites, such as sucrose, amino acids, organic acids, and fatty acids, were decreased both in the G. gracilis and G. max leaves. However, the secondary metabolites, such as pinitol, rutin, and polyphenols, were increased while synthesis of glucose was elevated as the leaves grew. When metabolite variations between G. gracilis and G. max are compared, it was noteworthy that rutin and its precursor, quercetin-3-O-glucoside, were found only in G. gracilis but not in G. max. Furthermore, levels of pinitol, proline, β-alanine, and acetic acid, a metabolite related to adaptation toward environmental stress, were different between the two soybean cultivars. These results highlight their distinct metabolism for adaptation to environmental conditions and their intrinsic metabolic phenotype. This study therefore provides important information on the cultivar-dependent metabolites of soybean leaves for better understanding of plant physiology toward the development of soy-based products.

Entities:  

Keywords:  Glycine gracilis; Glycine max; metabolism; metabolomics; nuclear magnetic resonance (NMR); soybean leaf

Mesh:

Substances:

Year:  2016        PMID: 27356159     DOI: 10.1021/acs.jafc.6b01675

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  9 in total

Review 1.  Recent Advances in NMR-Based Metabolomics.

Authors:  G A Nagana Gowda; Daniel Raftery
Journal:  Anal Chem       Date:  2016-12-02       Impact factor: 6.986

2.  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

3.  Elucidation of Dietary Polyphenolics as Potential Inhibitor of Microtubule Affinity Regulating Kinase 4: In silico and In vitro Studies.

Authors:  Parvez Khan; Shafikur Rahman; Aarfa Queen; Saaliqa Manzoor; Farha Naz; Gulam Mustafa Hasan; Suaib Luqman; Jihoe Kim; Asimul Islam; Faizan Ahmad; Md Imtaiyaz Hassan
Journal:  Sci Rep       Date:  2017-08-25       Impact factor: 4.379

4.  Ellagic Acid Controls Cell Proliferation and Induces Apoptosis in Breast Cancer Cells via Inhibition of Cyclin-Dependent Kinase 6.

Authors:  Mohd Yousuf; Anas Shamsi; Parvez Khan; Mohd Shahbaaz; Mohamed F AlAjmi; Afzal Hussain; Gulam Mustafa Hassan; Asimul Islam; Qazi Mohd Rizwanul Haque; Md Imtaiyaz Hassan
Journal:  Int J Mol Sci       Date:  2020-05-15       Impact factor: 5.923

5.  Comprehensive RNA sequencing and co-expression network analysis to complete the biosynthetic pathway of coumestrol, a phytoestrogen.

Authors:  Jungmin Ha; Young-Gyu Kang; Taeyoung Lee; Myoyeon Kim; Min Young Yoon; Eunsoo Lee; Xuefei Yang; Donghyun Kim; Yong-Jin Kim; Tae Ryong Lee; Moon Young Kim; Suk-Ha Lee
Journal:  Sci Rep       Date:  2019-02-13       Impact factor: 4.379

Review 6.  Metabolomics as a Prospective Tool for Soybean (Glycine max) Crop Improvement.

Authors:  Efficient Ncube; Keletso Mohale; Noluyolo Nogemane
Journal:  Curr Issues Mol Biol       Date:  2022-09-12       Impact factor: 2.976

7.  Evaluation of Binding of Rosmarinic Acid with Human Transferrin and Its Impact on the Protein Structure: Targeting Polyphenolic Acid-Induced Protection of Neurodegenerative Disorders.

Authors:  Anas Shamsi; Saleha Anwar; Mohd Shahbaaz; Taj Mohammad; Mohamed F Alajmi; Afzal Hussain; Imtaiyaz Hassan; Faizan Ahmad; Asimul Islam
Journal:  Oxid Med Cell Longev       Date:  2020-11-05       Impact factor: 6.543

8.  Supervised Statistical Learning Prediction of Soybean Varieties and Cultivation Sites Using Rapid UPLC-MS Separation, Method Validation, and Targeted Metabolomic Analysis of 31 Phenolic Compounds in the Leaves.

Authors:  Chan-Su Rha; Eun Kyu Jang; Yong Deog Hong; Won Seok Park
Journal:  Metabolites       Date:  2021-12-17

9.  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

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.