Literature DB >> 27283642

Metabolite changes in nine different soybean varieties grown under field and greenhouse conditions.

K M Maria John1, Savithiry Natarajan2, Devanand L Luthria3.   

Abstract

Global food security remains a worldwide concern due to changing climate, increasing population, and reduced agriculture acreages. Greenhouse cultivation increases productivity by extending growing seasons, reducing pest infestations and providing protection against short term drastic weather fluctuations like frost, heat, rain, and wind. In the present study, we examined and compared the metabolic responses of nine soybean varieties grown under field and greenhouse conditions. Extracts were assayed by GC-FID, GC-MS, and LC-MS for the identification of 10 primary (amino acids, organic acids, and sugars) and 10 secondary (isoflavones, fatty acid methyl esters) metabolites. Sugar molecules (glucose, sucrose, and pinitol) and isoflavone aglycons were increased but the isoflavones glucoside content decreased in the greenhouse cultivated soybeans. The amino acids and organic acids varied between the varieties. The results show that clustering (PCA and PLS-DA) patterns of soybean metabolites were significantly influenced by the genetic variation and growing conditions. Published by Elsevier Ltd.

Entities:  

Keywords:  Cultivars; Greenhouse; Metabolites; Multivariate analyses; Soybean

Mesh:

Substances:

Year:  2016        PMID: 27283642     DOI: 10.1016/j.foodchem.2016.05.055

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  4 in total

1.  Identification of Soybean Varieties Using Hyperspectral Imaging Coupled with Convolutional Neural Network.

Authors:  Susu Zhu; Lei Zhou; Chu Zhang; Yidan Bao; Baohua Wu; Hangjian Chu; Yue Yu; Yong He; Lei Feng
Journal:  Sensors (Basel)       Date:  2019-09-20       Impact factor: 3.576

2.  Increased Production of α-Linolenic Acid in Soybean Seeds by Overexpression of Lesquerella FAD3-1.

Authors:  Wan Woo Yeom; Hye Jeong Kim; Kyeong-Ryeol Lee; Hyun Suk Cho; Jin-Young Kim; Ho Won Jung; Seon-Woo Oh; Sang Eun Jun; Hyun Uk Kim; Young-Soo Chung
Journal:  Front Plant Sci       Date:  2020-01-31       Impact factor: 5.753

3.  Isoflavones, anthocyanins, phenolic content, and antioxidant activities of black soybeans (Glycine max (L.) Merrill) as affected by seed weight.

Authors:  Yu-Mi Choi; Hyemyeong Yoon; Sukyeung Lee; Ho-Cheol Ko; Myoung-Jae Shin; Myung Chul Lee; On Sook Hur; Na Young Ro; Kebede Taye Desta
Journal:  Sci Rep       Date:  2020-11-17       Impact factor: 4.379

4.  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
  4 in total

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