Literature DB >> 31094289

Composition of forage and grain from genetically modified DP202216 maize is equivalent to non-modified conventional maize (Zea mays L.).

Jennifer A Anderson1, Bonnie Hong1, Emily Moellring1, Sarah TeRonde1, Carl Walker1, Yiwei Wang1, Carl Maxwell1.   

Abstract

DP202216 maize was genetically modified to increase and extend the expression of the zmm28 gene relative to native zmm28 gene expression, resulting in plants with enhanced grain yield potential. Standard nutritional and compositional parameters for maize grain and forage (e.g., proximates, fiber, minerals, amino acids, fatty acids, vitamins, anti-nutrients, secondary metabolites) from DP202216 maize were compared to grain and forage from non-modified near-isoline maize (control). Three amino acids (glycine, methionine, and serine) and two vitamins (vitamin B1 and vitamin B3) were statistically different between DP202216 and control maize grain but were not statistically different when adjusted using the false discovery rate method. These analyte values also fell within the ranges of natural variation of non-modified commercial maize varieties supporting that statistical differences were not biologically relevant. The composition of grain and forage from DP202216 maize is comparable to grain and forage from non-modified maize with a history of safe use.

Entities:  

Keywords:  L.; Composition; genetically modified; safety assessment; substantial equivalence

Mesh:

Substances:

Year:  2019        PMID: 31094289      PMCID: PMC6615539          DOI: 10.1080/21645698.2019.1609849

Source DB:  PubMed          Journal:  GM Crops Food        ISSN: 2164-5698            Impact factor:   3.074


  14 in total

Review 1.  Substantial equivalence--an appropriate paradigm for the safety assessment of genetically modified foods?

Authors:  Harry A Kuiper; Gijs A Kleter; Hub P J M Noteborn; Esther J Kok
Journal:  Toxicology       Date:  2002-12-27       Impact factor: 4.221

2.  False discovery rate, sensitivity and sample size for microarray studies.

Authors:  Yudi Pawitan; Stefan Michiels; Serge Koscielny; Arief Gusnanto; Alexander Ploner
Journal:  Bioinformatics       Date:  2005-04-19       Impact factor: 6.937

3.  Simultaneous determination of tocopherols and tocotrienols in hazelnuts by a normal phase liquid chromatographic method.

Authors:  Joana S Amaral; Susana Casal; Duarte Torres; Rosa M Seabra; Beatriz P P Oliveira
Journal:  Anal Sci       Date:  2005-12       Impact factor: 2.081

4.  Safety of GM crops: compositional analysis.

Authors:  Philip D Brune; Angela Hendrickson Culler; William P Ridley; Kate Walker
Journal:  J Agric Food Chem       Date:  2013-09-04       Impact factor: 5.279

5.  Compositional assessment of transgenic crops: an idea whose time has passed.

Authors:  Rod A Herman; Bruce M Chassy; Wayne Parrott
Journal:  Trends Biotechnol       Date:  2009-08-21       Impact factor: 19.536

6.  Unintended compositional changes in genetically modified (GM) crops: 20 years of research.

Authors:  Rod A Herman; William D Price
Journal:  J Agric Food Chem       Date:  2013-02-25       Impact factor: 5.279

7.  MADS-box genes of maize: frequent targets of selection during domestication.

Authors:  Qiong Zhao; Allison L Weber; Michael D McMullen; Katherine Guill; John Doebley
Journal:  Genet Res (Camb)       Date:  2010-12-14       Impact factor: 1.588

8.  Compositional equivalency of Cry1F corn event TC6275 and conventional corn (Zea mays L.).

Authors:  Rod A Herman; Amy M Phillips; Randy A Collins; Laura A Tagliani; Fred A Claussen; Christopher D Graham; Brenda L Bickers; Travis A Harris; Lee M Prochaska
Journal:  J Agric Food Chem       Date:  2004-05-05       Impact factor: 5.279

9.  Composition of grain and forage from insect-protected and herbicide-tolerant corn, MON 89034 × TC1507 × MON 88017 × DAS-59122-7 (SmartStax), is equivalent to that of conventional corn (Zea mays L.).

Authors:  Denise R Lundry; J Austin Burns; Margaret A Nemeth; Susan G Riordan
Journal:  J Agric Food Chem       Date:  2013-02-12       Impact factor: 5.279

10.  Method for the determination of beta-carotene in supplements and raw materials by reversed-phase liquid chromatography: single laboratory validation.

Authors:  Joseph Schierle; Bernd Pietsch; Alan Ceresa; Christian Fizet; Edward H Waysek
Journal:  J AOAC Int       Date:  2004 Sep-Oct       Impact factor: 2.028

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  4 in total

1.  Agronomic and compositional assessment of genetically modified DP23211 maize for corn rootworm control.

Authors:  Jennifer A Anderson; James Mickelson; Mary Challender; Emily Moellring; Theresa Sult; Sarah TeRonde; Carl Walker; Yiwei Wang; Carl A Maxwell
Journal:  GM Crops Food       Date:  2020-06-17       Impact factor: 3.074

Review 2.  Hypothesis-based food, feed, and environmental safety assessment of GM crops: A case study using maize event DP-202216-6.

Authors:  Jennifer A Anderson; Rod A Herman; Anne Carlson; Carey Mathesius; Carl Maxwell; Henry Mirsky; Jason Roper; Brenda Smith; Carl Walker; Jingrui Wu
Journal:  GM Crops Food       Date:  2021-01-02       Impact factor: 3.074

3.  Utilizing MIKC-type MADS-box protein SOC1 for yield potential enhancement in maize.

Authors:  Guo-Qing Song; Xue Han; John T Ryner; Addie Thompson; Kan Wang
Journal:  Plant Cell Rep       Date:  2021-06-06       Impact factor: 4.570

4.  No Adverse Effects of Stacked Bacillus thuringiensis Maize on the Midge Chironomus riparius.

Authors:  Yi Chen; Jörg Romeis; Michael Meissle
Journal:  Environ Toxicol Chem       Date:  2022-02-21       Impact factor: 4.218

  4 in total

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