Literature DB >> 20132517

Comparison of two GM maize varieties with a near-isogenic non-GM variety using transcriptomics, proteomics and metabolomics.

Eugenia Barros1, Sabine Lezar, Mikko J Anttonen, Jeroen P van Dijk, Richard M Röhlig, Esther J Kok, Karl-Heinz Engel.   

Abstract

The aim of this study was to evaluate the use of four nontargeted analytical methodologies in the detection of unintended effects that could be derived during genetic manipulation of crops. Three profiling technologies were used to compare the transcriptome, proteome and metabolome of two transgenic maize lines with the respective control line. By comparing the profiles of the two transgenic lines grown in the same location over three growing seasons, we could determine the extent of environmental variation, while the comparison with the control maize line allowed the investigation of effects caused by a difference in genotype. The effect of growing conditions as an additional environmental effect was also evaluated by comparing the Bt-maize line with the control line from plants grown in three different locations in one growing season. The environment was shown to play an important effect in the protein, gene expression and metabolite levels of the maize samples tested where 5 proteins, 65 genes and 15 metabolites were found to be differentially expressed. A distinct separation between the three growing seasons was also found for all the samples grown in one location. Together, these environmental factors caused more variation in the different transcript/protein/metabolite profiles than the different genotypes.

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Year:  2010        PMID: 20132517     DOI: 10.1111/j.1467-7652.2009.00487.x

Source DB:  PubMed          Journal:  Plant Biotechnol J        ISSN: 1467-7644            Impact factor:   9.803


  63 in total

Review 1.  Integration of metabolic reactions and gene regulation.

Authors:  Chen-Hsiang Yeang
Journal:  Mol Biotechnol       Date:  2011-01       Impact factor: 2.695

2.  Proteomic analysis of MON810 and comparable non-GM maize varieties grown in agricultural fields.

Authors:  Anna Coll; Anna Nadal; Michel Rossignol; Pere Puigdomènech; Maria Pla
Journal:  Transgenic Res       Date:  2010-10-23       Impact factor: 2.788

3.  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
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Review 4.  Plant transcriptomics and responses to environmental stress: an overview.

Authors:  Sameen Ruqia Imadi; Alvina Gul Kazi; Mohammad Abass Ahanger; Salih Gucel; Parvaiz Ahmad
Journal:  J Genet       Date:  2015-09       Impact factor: 1.166

5.  How safe does transgenic food need to be?

Authors:  Laura DeFrancesco
Journal:  Nat Biotechnol       Date:  2013-09       Impact factor: 54.908

6.  Utilization of GC-MS untargeted metabolomics to assess the delayed response of glufosinate treatment of transgenic herbicide resistant (HR) buffalo grasses (Stenotaphrum secundatum L.).

Authors:  Siriwat Boonchaisri; Trevor Stevenson; Daniel A Dias
Journal:  Metabolomics       Date:  2020-01-27       Impact factor: 4.290

Review 7.  Evaluation of genetically engineered crops using transcriptomic, proteomic, and metabolomic profiling techniques.

Authors:  Agnès E Ricroch; Jean B Bergé; Marcel Kuntz
Journal:  Plant Physiol       Date:  2011-02-24       Impact factor: 8.340

8.  Unintended effects of transgenic rice revealed by transcriptome and metabolism.

Authors:  Wei Fu; Chenguang Wang; Wenjie Xu; Pengyu Zhu; Yun Lu; Shuang Wei; Xiyang Wu; Yuping Wu; Yiqiang Zhao; Shuifang Zhu
Journal:  GM Crops Food       Date:  2019-04-08       Impact factor: 3.074

9.  The environment exerts a greater influence than the transgene on the transcriptome of field-grown wheat expressing the Pm3b allele.

Authors:  Carolina Diaz Quijano; Susanne Brunner; Beat Keller; Wilhelm Gruissem; Christof Sautter
Journal:  Transgenic Res       Date:  2014-08-06       Impact factor: 2.788

10.  Transgene x environment interactions in genetically modified wheat.

Authors:  Simon L Zeller; Olena Kalinina; Susanne Brunner; Beat Keller; Bernhard Schmid
Journal:  PLoS One       Date:  2010-07-12       Impact factor: 3.240

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