Literature DB >> 25766830

Comparative study of transgenic and non-transgenic maize (Zea mays) flours commercialized in Brazil, focussing on proteomic analyses.

Nádia Vidal1, Herbert Barbosa2, Silvana Jacob3, Marco Arruda2.   

Abstract

Genetically modified foods are a major concern around the world due to the lack of information concerning their safety and health effects. This work evaluates differences, at the proteomic level, between two types of crop samples: transgenic (MON810 event with the Cry1Ab gene, which confers resistance to insects) and non-transgenic maize flour commercialized in Brazil. The 2-D DIGE technique revealed 99 differentially expressed spots, which were collected in 2-D PAGE gels and identified via mass spectrometry (nESI-QTOF MS/MS). The abundance of protein differences between the transgenic and non-transgenic samples could arise from genetic modification or as a result of an environmental influence pertaining to the commercial sample. The major functional category of proteins identified was related to disease/defense and, although differences were observed between samples, no toxins or allergenic proteins were found.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  2-D DIGE; Comparative proteomics; Genetically modified organisms; Maize flour; Mass spectrometry; Zea mays

Mesh:

Year:  2015        PMID: 25766830     DOI: 10.1016/j.foodchem.2015.02.051

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


  10 in total

1.  Comparative muscle proteomics/phosphoproteomics analysis provides new insight for the biosafety evaluation of fat-1 transgenic cattle.

Authors:  Xiangbo Xin; Xinfeng Liu; Xin Li; Xiangbin Ding; Shuping Yang; Congfei Jin; Guangpeng Li; Hong Guo
Journal:  Transgenic Res       Date:  2017-07-14       Impact factor: 2.788

2.  Comparative Proteomics of Leaves from Phytase-Transgenic Maize and Its Non-transgenic Isogenic Variety.

Authors:  Yanhua Tan; Xiaoping Yi; Limin Wang; Cunzhi Peng; Yong Sun; Dan Wang; Jiaming Zhang; Anping Guo; Xuchu Wang
Journal:  Front Plant Sci       Date:  2016-08-17       Impact factor: 5.753

3.  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

4.  Proteomic analysis of phytase transgenic and non-transgenic maize seeds.

Authors:  Yanhua Tan; Zheng Tong; Qian Yang; Yong Sun; Xiang Jin; Cunzhi Peng; Anping Guo; Xuchu Wang
Journal:  Sci Rep       Date:  2017-08-23       Impact factor: 4.379

5.  Comparative Proteomics of Phytase-transgenic Maize Seeds Indicates Environmental Influence is More Important than that of Gene Insertion.

Authors:  Yanhua Tan; Jiaming Zhang; Yong Sun; Zheng Tong; Cunzhi Peng; Lili Chang; Anping Guo; Xuchu Wang
Journal:  Sci Rep       Date:  2019-06-03       Impact factor: 4.379

6.  Comparative proteome analyses of rhizomania resistant transgenic sugar beets based on RNA silencing mechanism.

Authors:  Sara Hejri; Azam Salimi; Mohammad Ali Malboobi; Foad Fatehi
Journal:  GM Crops Food       Date:  2021-09-08       Impact factor: 3.074

7.  Untargeted Proteomics-Based Approach to Investigate Unintended Changes in Genetically Modified Maize for Environmental Risk Assessment Purpose.

Authors:  Sarah Zanon Agapito-Tenfen; Miguel Pedro Guerra; Rubens Onofre Nodari; Odd-Gunnar Wikmark
Journal:  Front Toxicol       Date:  2021-06-22

8.  Public Perceptions Regarding Genomic Technologies Applied to Breeding Farm Animals: A Qualitative Study.

Authors:  Francis Z Naab; David Coles; Ellen Goddard; Lynn J Frewer
Journal:  BioTech (Basel)       Date:  2021-12-03

9.  Systematic miRNome profiling reveals differential microRNAs in transgenic maize metabolism.

Authors:  Sarah Zanon Agapito-Tenfen; Vinicius Vilperte; Terje Ingemar Traavik; Rubens Onofre Nodari
Journal:  Environ Sci Eur       Date:  2018-09-19       Impact factor: 5.893

10.  Fungal diversity and metabolomic profiles in GM and isogenic non-GM maize cultivars from Brazil.

Authors:  A M Gasperini; E Garcia-Cela; M Sulyok; A Medina; N Magan
Journal:  Mycotoxin Res       Date:  2020-10-12       Impact factor: 3.833

  10 in total

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