Literature DB >> 33648419

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

Seon-Woo Oh1, Eun-Ha Kim2, So-Young Lee2, Da-Young Baek2, Sang-Gu Lee2, Hyeon-Jung Kang2, Young-Soo Chung3, Soon-Ki Park4, Tae-Hun Ryu2.   

Abstract

The safety of transgenic Bt rice containing bacteria-derived mCry1Ac gene from Bacillus thuringiensis (Bt) was assessed by conducting field trials at two locations for two consecutive years in South Korea, using the near-isogenic line comparator rice cultivar ('Ilmi', non-Bt rice) and four commercial cultivars as references. Compositional analyses included measurement of proximates, minerals, amino acids, fatty acids, vitamins, and antinutrients. Significant differences between Bt rice and non-Bt rice were detected; however, all differences were within the reference range. The statistical analyses, including analysis of % variability, analysis of similarities (ANOISM), similarity percentage (SIMPER) analysis, and permutational multivariate analysis of variance (PERMANOVA) were performed to study factors contributing to compositional variability. The multivariate analyses revealed that environmental factors more influenced rice components' variability than by genetic factors. This approach was shown to be a powerful method to provide meaningful evaluations between Bt rice and its comparators. In this study, Bt rice was proved to be compositionally equivalent to conventional rice varieties through multiple statistical methods.

Entities:  

Keywords:  Bt rice; Composition; GMO; Natural variation; Rice (Oryza sativa ssp. japonica)

Mesh:

Substances:

Year:  2021        PMID: 33648419      PMCID: PMC7928020          DOI: 10.1080/21645698.2021.1893624

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


  22 in total

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Review 2.  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

3.  Assessing the natural variability in crop composition.

Authors:  George G Harrigan; Kevin C Glenn; William P Ridley
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4.  Bringing a transgenic crop to market: where compositional analysis fits.

Authors:  Laura S Privalle; Nancy Gillikin; Christine Wandelt
Journal:  J Agric Food Chem       Date:  2013-04-08       Impact factor: 5.279

Review 5.  Insect-resistant genetically modified rice in China: from research to commercialization.

Authors:  Mao Chen; Anthony Shelton; Gong-yin Ye
Journal:  Annu Rev Entomol       Date:  2011       Impact factor: 19.686

6.  A statistical assessment of differences and equivalences between genetically modified and reference plant varieties.

Authors:  Hilko van der Voet; Joe N Perry; Billy Amzal; Claudia Paoletti
Journal:  BMC Biotechnol       Date:  2011-02-16       Impact factor: 2.563

7.  Insect resistant rice generated by introduction of a modified delta-endotoxin gene of Bacillus thuringiensis.

Authors:  H Fujimoto; K Itoh; M Yamamoto; J Kyozuka; K Shimamoto
Journal:  Biotechnology (N Y)       Date:  1993-10

8.  Variation among conventional cultivars could be used as a criterion for environmental safety assessment of Bt rice on nontarget arthropods.

Authors:  Fang Wang; Cong Dang; Xuefei Chang; Junce Tian; Zengbin Lu; Yang Chen; Gongyin Ye
Journal:  Sci Rep       Date:  2017-02-07       Impact factor: 4.379

9.  Assessing Variation in US Soybean Seed Composition (Protein and Oil).

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Journal:  Front Plant Sci       Date:  2019-03-11       Impact factor: 5.753

10.  Statistical study on the environmental effects on the natural variation of nutritional components in rice varieties.

Authors:  Seon-Woo Oh; Soyoung Lee; Sooyun Park; Sanggu Lee; Seongkon Lee; Hyunsuk Cho; Youngsoo Chung; Soonki Park
Journal:  Food Sci Nutr       Date:  2018-10-30       Impact factor: 2.863

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  1 in total

1.  Comparative proteome analyses of rhizomania resistant transgenic sugar beets based on RNA silencing mechanism.

Authors:  Sara Hejri; Azam Salimi; Mohammad Ali Malboobi; Foad Fatehi
Journal:  GM Crops Food       Date:  2021-09-08       Impact factor: 3.074

  1 in total

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