Literature DB >> 21947011

New insights on proteomics of transgenic soybean seeds: evaluation of differential expressions of enzymes and proteins.

Herbert S Barbosa1, Sandra C C Arruda, Ricardo A Azevedo, Marco A Z Arruda.   

Abstract

This work reports the evaluation of differentially expressed enzymes and proteins from transgenic and nontransgenic soybean seeds. Analysis of malondialdehyde, ascorbate peroxidase (EC 1.11.1.11), glutathione reductase (EC 1.6.4.2), and catalase (EC 1.11.1.6) revealed higher levels (29.8, 30.6, 71.4, and 35.3%, respectively) in transgenic seeds than in nontransgenic seeds. Separation of soybean seed proteins was done by two-dimensional polyacrylamide gel electrophoresis, and 192 proteins were identified by matrix-assisted laser desorption/ionization (MALDI) quadrupole time-of-flight (QTOF) mass spectrometry (MS) and electrospray ionization (ESI) QTOF MS. Additionally, the enzyme CP4 EPSPS, involved in the genetic modification, was identified by enzymatic digestions using either trypsin or chymotrypsin and ESI-QTOF MS/MS for identification. From the proteins identified, actin fragment, cytosolic glutamine synthetase, glycinin subunit G1, and glycine-rich RNA-binding protein were shown to be differentially expressed after analysis using the two-dimensional difference gel electrophoresis technique, and applying a regulator factor of 1.5 or greater.

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Year:  2011        PMID: 21947011     DOI: 10.1007/s00216-011-5409-1

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  13 in total

1.  Abscisic acid-deficient sit tomato mutant responses to cadmium-induced stress.

Authors:  Georgia B Pompeu; Milca B Vilhena; Priscila L Gratão; Rogério F Carvalho; Mônica L Rossi; Adriana P Martinelli; Ricardo A Azevedo
Journal:  Protoplasma       Date:  2016-06-04       Impact factor: 3.356

2.  A Comparison of transgenic and wild type soybean seeds: analysis of transcriptome profiles using RNA-Seq.

Authors:  Kevin C Lambirth; Adam M Whaley; Ivory C Blakley; Jessica A Schlueter; Kenneth L Bost; Ann E Loraine; Kenneth J Piller
Journal:  BMC Biotechnol       Date:  2015-10-01       Impact factor: 2.563

3.  Comparative proteomics of Bt-transgenic and non-transgenic cotton leaves.

Authors:  Limin Wang; Xuchu Wang; Xiang Jin; Ruizong Jia; Qixing Huang; Yanhua Tan; Anping Guo
Journal:  Proteome Sci       Date:  2015-05-02       Impact factor: 2.480

4.  An integrated multi-omics analysis of the NK603 Roundup-tolerant GM maize reveals metabolism disturbances caused by the transformation process.

Authors:  Robin Mesnage; Sarah Z Agapito-Tenfen; Vinicius Vilperte; George Renney; Malcolm Ward; Gilles-Eric Séralini; Rubens O Nodari; Michael N Antoniou
Journal:  Sci Rep       Date:  2016-12-19       Impact factor: 4.379

Review 5.  Potentiality of Soybean Proteomics in Untying the Mechanism of Flood and Drought Stress Tolerance.

Authors:  Zahed Hossain; Setsuko Komatsu
Journal:  Proteomes       Date:  2014-03-07

6.  iTRAQ-based quantitative tissue proteomic analysis of differentially expressed proteins (DEPs) in non-transgenic and transgenic soybean seeds.

Authors:  Weixiao Liu; Wentao Xu; Liang Li; Mei Dong; Yusong Wan; Xiaoyun He; Kunlun Huang; Wujun Jin
Journal:  Sci Rep       Date:  2018-12-05       Impact factor: 4.379

7.  NanoUPLC-MSE proteomic data assessment of soybean seeds using the Uniprot database.

Authors:  Andre M Murad; Elibio L Rech
Journal:  BMC Biotechnol       Date:  2012-11-05       Impact factor: 2.563

8.  Proteomic evaluation of genetically modified crops: current status and challenges.

Authors:  Chun Yan Gong; Tai Wang
Journal:  Front Plant Sci       Date:  2013-03-07       Impact factor: 5.753

9.  A Proteomic Approach to Lipo-Chitooligosaccharide and Thuricin 17 Effects on Soybean GerminationUnstressed and Salt Stress.

Authors:  Sowmyalakshmi Subramanian; Emily Ricci; Alfred Souleimanov; Donald L Smith
Journal:  PLoS One       Date:  2016-08-25       Impact factor: 3.240

Review 10.  Expanding Omics Resources for Improvement of Soybean Seed Composition Traits.

Authors:  Juhi Chaudhary; Gunvant B Patil; Humira Sonah; Rupesh K Deshmukh; Tri D Vuong; Babu Valliyodan; Henry T Nguyen
Journal:  Front Plant Sci       Date:  2015-11-24       Impact factor: 5.753

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