Literature DB >> 21500243

MS-based analytical methodologies to characterize genetically modified crops.

Virginia García-Cañas1, Carolina Simó, Carlos León, Elena Ibáñez, Alejandro Cifuentes.   

Abstract

The development of genetically modified crops has had a great impact on the agriculture and food industries. However, the development of any genetically modified organism (GMO) requires the application of analytical procedures to confirm the equivalence of the GMO compared to its isogenic non-transgenic counterpart. Moreover, the use of GMOs in foods and agriculture faces numerous criticisms from consumers and ecological organizations that have led some countries to regulate their production, growth, and commercialization. These regulations have brought about the need of new and more powerful analytical methods to face the complexity of this topic. In this regard, MS-based technologies are increasingly used for GMOs analysis to provide very useful information on GMO composition (e.g., metabolites, proteins). This review focuses on the MS-based analytical methodologies used to characterize genetically modified crops (also called transgenic crops). First, an overview on genetically modified crops development is provided, together with the main difficulties of their analysis. Next, the different MS-based analytical approaches applied to characterize GM crops are critically discussed, and include "-omics" approaches and target-based approaches. These methodologies allow the study of intended and unintended effects that result from the genetic transformation. This information is considered to be essential to corroborate (or not) the equivalence of the GM crop with its isogenic non-transgenic counterpart.
Copyright © 2010 Wiley Periodicals, Inc.

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Year:  2010        PMID: 21500243     DOI: 10.1002/mas.20286

Source DB:  PubMed          Journal:  Mass Spectrom Rev        ISSN: 0277-7037            Impact factor:   10.946


  15 in total

1.  Metabolic changes in transgenic maize mature seeds over-expressing the Aspergillus niger phyA2.

Authors:  Jun Rao; Litao Yang; Jinchao Guo; Sheng Quan; Guihua Chen; Xiangxiang Zhao; Dabing Zhang; Jianxin Shi
Journal:  Plant Cell Rep       Date:  2015-11-18       Impact factor: 4.570

2.  Using problem formulation to clarify the meaning of weight of evidence and biological relevance in environmental risk assessments for genetically modified crops.

Authors:  Alan Raybould; Karen Holt; Ian Kimber
Journal:  GM Crops Food       Date:  2019-06-11       Impact factor: 3.074

3.  Problem formulation and phenotypic characterisation for the development of novel crops.

Authors:  Alan Raybould
Journal:  Transgenic Res       Date:  2019-08       Impact factor: 2.788

4.  Foodomics: a new comprehensive approach to food and nutrition.

Authors:  Francesco Capozzi; Alessandra Bordoni
Journal:  Genes Nutr       Date:  2012-08-30       Impact factor: 5.523

Review 5.  Foodomics and Food Safety: Where We Are.

Authors:  Uroš Andjelković; Martina Šrajer Gajdošik; Dajana Gašo-Sokač; Tamara Martinović; Djuro Josić
Journal:  Food Technol Biotechnol       Date:  2017-09       Impact factor: 3.918

6.  Metabolic adaptation in transplastomic plants massively accumulating recombinant proteins.

Authors:  Julia Bally; Claudette Job; Maya Belghazi; Dominique Job
Journal:  PLoS One       Date:  2011-09-22       Impact factor: 3.240

Review 7.  Characterization and study of transgenic cultivars by capillary and microchip electrophoresis.

Authors:  Elena Domínguez Vega; Maria Luisa Marina
Journal:  Int J Mol Sci       Date:  2014-12-22       Impact factor: 5.923

Review 8.  Metabolomics of genetically modified crops.

Authors:  Carolina Simó; Clara Ibáñez; Alberto Valdés; Alejandro Cifuentes; Virginia García-Cañas
Journal:  Int J Mol Sci       Date:  2014-10-20       Impact factor: 5.923

9.  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

Review 10.  Current and new approaches in GMO detection: challenges and solutions.

Authors:  Marie-Alice Fraiture; Philippe Herman; Isabel Taverniers; Marc De Loose; Dieter Deforce; Nancy H Roosens
Journal:  Biomed Res Int       Date:  2015-10-15       Impact factor: 3.411

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