Literature DB >> 28669816

In-depth proteomic analysis of Glycine max seeds during controlled deterioration treatment reveals a shift in seed metabolism.

Cheol Woo Min1, Seo Hyun Lee1, Ye Eun Cheon1, Won Young Han2, Jong Min Ko2, Hang Won Kang2, Yong Chul Kim3, Ganesh Kumar Agrawal4, Randeep Rakwal5, Ravi Gupta6, Sun Tae Kim7.   

Abstract

Seed aging is one of the major events, affecting the overall quality of agricultural seeds. To analyze the effect of seed aging, soybean seeds were exposed to controlled deterioration treatment (CDT) for 3 and 7days, followed by their physiological, biochemical, and proteomic analyses. Seed proteins were subjected to protamine sulfate precipitation for the enrichment of low-abundance proteins and utilized for proteome analysis. A total of 14 differential proteins were identified on 2-DE, whereas label-free quantification resulted in the identification of 1626 non-redundant proteins. Of these identified proteins, 146 showed significant changes in protein abundance, where 5 and 141 had increased and decreased abundances, respectively while 352 proteins were completely degraded during CDT. Gene ontology and KEGG analyses suggested the association of differential proteins with primary metabolism, ROS detoxification, translation elongation and initiation, protein folding, and proteolysis, where most, if not all, had decreased abundance during CDT. Western blotting confirmed reduced level of antioxidant enzymes (DHAR, APx1, MDAR, and SOD) upon CDT. This in-depth integrated study reveals a major downshift in seed metabolism upon CDT. Reported data here serve as a resource for its exploitation to metabolic engineering of seeds for multiple purposes, including increased seed viability, vigor, and quality. BIOLOGICAL SIGNIFICANCE: Controlled deterioration treatment (CDT) is one of the major events that negatively affects the quality and nutrient composition of agricultural seeds. However, the molecular mechanism of CDT is largely unknown. A combination of gel-based and gel-free proteomic approach was utilized to investigate the effects of CDT in soybean seeds. Moreover, we utilized protamine sulfate precipitation method for enrichment of low-abundance proteins, which are generally masked due to the presence of high-abundance seed storage proteins. Reported data here serve as resource for its exploitation to metabolic engineering of seeds for multiple purposes, including increased seed viability, vigor, and quality.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Abundant protein depletion; Controlled deterioration treatment; Low-abundance proteins; Metabolic engineering; Quantitative proteomics; Soybean

Mesh:

Substances:

Year:  2017        PMID: 28669816     DOI: 10.1016/j.jprot.2017.06.022

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  16 in total

1.  Simultaneous Improvement in the Precision, Accuracy, and Robustness of Label-free Proteome Quantification by Optimizing Data Manipulation Chains.

Authors:  Jing Tang; Jianbo Fu; Yunxia Wang; Yongchao Luo; Qingxia Yang; Bo Li; Gao Tu; Jiajun Hong; Xuejiao Cui; Yuzong Chen; Lixia Yao; Weiwei Xue; Feng Zhu
Journal:  Mol Cell Proteomics       Date:  2019-05-16       Impact factor: 5.911

2.  ANPELA: analysis and performance assessment of the label-free quantification workflow for metaproteomic studies.

Authors:  Jing Tang; Jianbo Fu; Yunxia Wang; Bo Li; Yinghong Li; Qingxia Yang; Xuejiao Cui; Jiajun Hong; Xiaofeng Li; Yuzong Chen; Weiwei Xue; Feng Zhu
Journal:  Brief Bioinform       Date:  2020-03-23       Impact factor: 11.622

Review 3.  Involvement of dehydrin proteins in mitigating the negative effects of drought stress in plants.

Authors:  Riyazuddin Riyazuddin; Nisha Nisha; Kalpita Singh; Radhika Verma; Ravi Gupta
Journal:  Plant Cell Rep       Date:  2021-05-31       Impact factor: 4.570

4.  Gel-based and gel-free proteome data associated with controlled deterioration treatment of Glycine max seeds.

Authors:  Cheol Woo Min; Seo Hyun Lee; Ye Eun Cheon; Won Young Han; Jong Min Ko; Hang Won Kang; Yong Chul Kim; Ganesh Kumar Agrawal; Randeep Rakwal; Ravi Gupta; Sun Tae Kim
Journal:  Data Brief       Date:  2017-10-02

Review 5.  Subcellular Proteomics: Application to Elucidation of Flooding-Response Mechanisms in Soybean.

Authors:  Setsuko Komatsu; Akiko Hashiguchi
Journal:  Proteomes       Date:  2018-02-27

6.  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

7.  Phosphoproteome data from abscisic acid and ethylene treated Glycine max leaves.

Authors:  Ravi Gupta; Cheol Woo Min; Qingfeng Meng; Tae Hwan Jun; Ganesh Kumar Agrawal; Randeep Rakwal; Sun Tae Kim
Journal:  Data Brief       Date:  2018-08-21

8.  Biochemical Profile of the Soybean Seed Embryonic Axis and Its Changes during Accelerated Aging.

Authors:  Luciano Antônio Ebone; Andréia Caverzan; Diógenes Cecchin Silveira; Luciano de Oliveira Siqueira; Nadia Canali Lângaro; José Luís Trevizan Chiomento; Geraldo Chavarria
Journal:  Biology (Basel)       Date:  2020-07-23

9.  TGFam-Finder: a novel solution for target-gene family annotation in plants.

Authors:  Seungill Kim; Kyeongchae Cheong; Jieun Park; Myung-Shin Kim; Jihyun Kim; Min-Ki Seo; Geun Young Chae; Min Jeong Jang; Hyunggon Mang; Sun-Ho Kwon; Yong-Min Kim; Namjin Koo; Cheol Woo Min; Kwang-Soo Kim; Nuri Oh; Ki-Tae Kim; Jongbum Jeon; Hyunbin Kim; Yoon-Young Lee; Kee Hoon Sohn; Honour C McCann; Sang-Kyu Ye; Sun Tae Kim; Kyung-Soon Park; Yong-Hwan Lee; Doil Choi
Journal:  New Phytol       Date:  2020-06-05       Impact factor: 10.151

10.  Label-free quantitative proteomic analysis of Panax ginseng leaves upon exposure to heat stress.

Authors:  So Wun Kim; Ravi Gupta; Cheol Woo Min; Seo Hyun Lee; Ye Eun Cheon; Qing Feng Meng; Jeong Woo Jang; Chi Eun Hong; Ji Yoon Lee; Ick Hyun Jo; Sun Tae Kim
Journal:  J Ginseng Res       Date:  2018-10-05       Impact factor: 6.060

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