Literature DB >> 22375597

Metabolite profiling of maize kernels--genetic modification versus environmental influence.

Thomas Frank1, Richard M Röhlig, Howard V Davies, Eugenia Barros, Karl-Heinz Engel.   

Abstract

A metabolite profiling approach based on gas chromatography-mass spectrometry (GC-MS) was applied to investigate the metabolite profiles of genetically modified (GM) Bt-maize (DKC78-15B, TXP 138F) and Roundup Ready-maize (DKC78-35R). For the comparative investigation of the impact of genetic modification versus environmental influence on the metabolite profiles, GM maize was grown together with the non-GM near-isogenic comparators under different environmental conditions, including several growing locations and seasons in Germany and South Africa. Analyses of variance (ANOVA) revealed significant differences between GM and non-GM maize grown in Germany and South Africa. For the factor genotype, 4 and 3%, respectively, of the total number of peaks detected by GC-MS showed statistically significant differences (p < 0.01) in peak heights as compared to the respective isogenic lines. However, ANOVA for the factor environment (growing location, season) revealed higher numbers of significant differences (p < 0.01) between the GM and the non-GM maize grown in Germany (42%) and South Africa (10%), respectively. This indicates that the majority of differences observed are related to natural variability rather than to the genetic modifications. In addition, multivariate data assessment by means of principal component analysis revealed that environmental factors, that is, growing locations and seasons, were dominant parameters driving the variability of the maize metabolite profiles.

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Year:  2012        PMID: 22375597     DOI: 10.1021/jf204167t

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  21 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.  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 3.  Genetic and molecular bases of yield-associated traits: a translational biology approach between rice and wheat.

Authors:  Ravi Valluru; Matthew P Reynolds; Jerome Salse
Journal:  Theor Appl Genet       Date:  2014-06-10       Impact factor: 5.699

Review 4.  Recent developments in metabolomics-based research in understanding transgenic grass metabolism.

Authors:  Siriwat Boonchaisri; Simone Rochfort; Trevor Stevenson; Daniel A Dias
Journal:  Metabolomics       Date:  2019-03-15       Impact factor: 4.290

5.  Characterization of GMO or glyphosate effects on the composition of maize grain and maize-based diet for rat feeding.

Authors:  Stéphane Bernillon; Mickaël Maucourt; Catherine Deborde; Sylvain Chéreau; Daniel Jacob; Nathalie Priymenko; Bérengère Laporte; Xavier Coumoul; Bernard Salles; Peter M Rogowsky; Florence Richard-Forget; Annick Moing
Journal:  Metabolomics       Date:  2018-02-17       Impact factor: 4.290

6.  Differential regulation of volatile emission from Eucalyptus globulus leaves upon single and combined ozone and wounding treatments through recovery and relationships with ozone uptake.

Authors:  Arooran Kanagendran; Leila Pazouki; Ülo Niinemets
Journal:  Environ Exp Bot       Date:  2018-01       Impact factor: 5.545

7.  Tempest in a tea pot: How did the public conversation on genetically modified crops drift so far from the facts?

Authors:  Daniel A Goldstein
Journal:  J Med Toxicol       Date:  2014-06

8.  Insect-protected event DAS-81419-2 soybean (Glycine max L.) grown in the United States and Brazil is compositionally equivalent to nontransgenic soybean.

Authors:  Brandon J Fast; Ariane C Schafer; Tempest Y Johnson; Brian L Potts; Rod A Herman
Journal:  J Agric Food Chem       Date:  2015-02-12       Impact factor: 5.279

Review 9.  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

10.  Effect of the environment on the secondary metabolic profile of Tithonia diversifolia: a model for environmental metabolomics of plants.

Authors:  Bruno Leite Sampaio; RuAngelie Edrada-Ebel; Fernando Batista Da Costa
Journal:  Sci Rep       Date:  2016-07-07       Impact factor: 4.379

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