Literature DB >> 25545850

Comparative investigation of seed coats of brown- versus yellow-colored soybean seeds using an integrated proteomics and metabolomics approach.

Ravi Gupta1, Chul Woo Min1, So Wun Kim1, Yiming Wang2, Ganesh Kumar Agrawal3,4, Randeep Rakwal3,4,5,6, Sang Gon Kim7, Byong Won Lee8, Jong Min Ko8, In Yeol Baek8, Dong Won Bae9, Sun Tae Kim1.   

Abstract

Seed coat color is an important attribute determining consumption of soybean seeds. Soybean cultivar Mallikong (M) has yellow seed coat while its naturally mutated cultivar Mallikong mutant (MM), has brown colored seed coat. We used integrated proteomics and metabolomics approach to investigate the differences between seed coats of M and MM during different stages of seed development (4, 5, and 6 weeks after flowering). 2DE profiling of total seed coat proteins from three stages showed 178 differentially expressed spots between M and MM of which 172 were identified by MALDI-TOF/TOF. Of these, 62 were upregulated and 105 were downregulated in MM compared with M, while five spots were detected only in MM. Proteins involved in primary metabolism showed downregulation in MM suggesting energy in MM might be utilized for proanthocyanidin biosynthesis via secondary metabolic pathways that leads to the development of brown seed coat color. Besides, downregulation of two isoforms of isoflavone reductase indicated reduced isoflavones in seed coat of MM that was confirmed by quantitative estimation of total and individual isoflavones using HPLC. We propose that low isoflavones level in MM may offer a high substrate for proanthocyanidin production that results in the development of brown seed coat in MM.
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Isoflavone; Mallikong mutant; Phenylpropanoid pathway; Plant proteomics; Seed storage proteins; Soybean seed coat

Mesh:

Substances:

Year:  2015        PMID: 25545850     DOI: 10.1002/pmic.201400453

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  2 in total

1.  In-Depth Investigation of Low-Abundance Proteins in Matured and Filling Stages Seeds of Glycine max Employing a Combination of Protamine Sulfate Precipitation and TMT-Based Quantitative Proteomic Analysis.

Authors:  Cheol Woo Min; Joonho Park; Jin Woo Bae; Ganesh Kumar Agrawal; Randeep Rakwal; Youngsoo Kim; Pingfang Yang; Sun Tae Kim; Ravi Gupta
Journal:  Cells       Date:  2020-06-22       Impact factor: 6.600

2.  An Integrated Biochemical, Proteomics, and Metabolomics Approach for Supporting Medicinal Value of Panax ginseng Fruits.

Authors:  So W Kim; Ravi Gupta; Seo H Lee; Cheol W Min; Ganesh K Agrawal; Randeep Rakwal; Jong B Kim; Ick H Jo; Soo-Yun Park; Jae K Kim; Young-Chang Kim; Kyong H Bang; Sun T Kim
Journal:  Front Plant Sci       Date:  2016-07-04       Impact factor: 5.753

  2 in total

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