Literature DB >> 23534903

Bringing a transgenic crop to market: where compositional analysis fits.

Laura S Privalle1, Nancy Gillikin, Christine Wandelt.   

Abstract

In the process of developing a biotechnology product, thousands of genes and transformation events are evaluated to select the event that will be commercialized. The ideal event is identified on the basis of multiple characteristics including trait efficacy, the molecular characteristics of the insert, and agronomic performance. Once selected, the commercial event is subjected to a rigorous safety evaluation taking a multipronged approach including examination of the safety of the gene and gene product - the protein, plant performance, impact of cultivating the crop on the environment, agronomic performance, and equivalence of the crop/food to conventional crops/food - by compositional analysis. The compositional analysis is composed of a comparison of the nutrient and antinutrient composition of the crop containing the event, its parental line (variety), and other conventional lines (varieties). Different geographies have different requirements for the compositional analysis studies. Parameters that vary include the number of years (seasons) and locations (environments) to be evaluated, the appropriate comparator(s), analytes to be evaluated, and statistical analysis. Specific examples of compositional analysis results will be presented.

Entities:  

Mesh:

Year:  2013        PMID: 23534903     DOI: 10.1021/jf400185q

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


  7 in total

1.  A risk-based approach to the regulation of genetically engineered organisms.

Authors:  Gregory Conko; Drew L Kershen; Henry Miller; Wayne A Parrott
Journal:  Nat Biotechnol       Date:  2016-05-06       Impact factor: 54.908

2.  Compositional equivalence of event IND-ØØ412-7 to non-transgenic wheat.

Authors:  Francisco Ayala; Griselda V Fedrigo; Moises Burachik; Patricia V Miranda
Journal:  Transgenic Res       Date:  2019-01-17       Impact factor: 2.788

3.  The Omics Revolution in Agricultural Research.

Authors:  Jeanette M Van Emon
Journal:  J Agric Food Chem       Date:  2015-11-17       Impact factor: 5.279

4.  Recommendations from the workshop on Comparative Approaches to Safety Assessment of GM Plant Materials: A road toward harmonized criteria?

Authors:  Andrew Bartholomaeus; Juan Carlos Batista; Moisés Burachik; Wayne Parrott
Journal:  GM Crops Food       Date:  2015       Impact factor: 3.074

5.  Compositional analysis of soybean event IND-ØØ41Ø-5.

Authors:  Mariana V Chiozza; Moisés Burachik; Patricia V Miranda
Journal:  GM Crops Food       Date:  2020-04-30       Impact factor: 3.074

6.  Compositional equivalence assessment of insect-resistant genetically modified rice using multiple statistical analyses.

Authors:  Seon-Woo Oh; Eun-Ha Kim; So-Young Lee; Da-Young Baek; Sang-Gu Lee; Hyeon-Jung Kang; Young-Soo Chung; Soon-Ki Park; Tae-Hun Ryu
Journal:  GM Crops Food       Date:  2021-01-02       Impact factor: 3.074

7.  Evaluation of metabolomics profiles of grain from maize hybrids derived from near-isogenic GM positive and negative segregant inbreds demonstrates that observed differences cannot be attributed unequivocally to the GM trait.

Authors:  George G Harrigan; Tyamagondlu V Venkatesh; Mark Leibman; Jonathan Blankenship; Timothy Perez; Steven Halls; Alexander W Chassy; Oliver Fiehn; Yun Xu; Royston Goodacre
Journal:  Metabolomics       Date:  2016-03-15       Impact factor: 4.290

  7 in total

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