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

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 commercia...

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Autores principales: Oh, Seon-Woo, Kim, Eun-Ha, Lee, So-Young, Baek, Da-Young, Lee, Sang-Gu, Kang, Hyeon-Jung, Chung, Young-Soo, Park, Soon-Ki, Ryu, Tae-Hun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7928020/
https://www.ncbi.nlm.nih.gov/pubmed/33648419
http://dx.doi.org/10.1080/21645698.2021.1893624
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author Oh, Seon-Woo
Kim, Eun-Ha
Lee, So-Young
Baek, Da-Young
Lee, Sang-Gu
Kang, Hyeon-Jung
Chung, Young-Soo
Park, Soon-Ki
Ryu, Tae-Hun
author_facet Oh, Seon-Woo
Kim, Eun-Ha
Lee, So-Young
Baek, Da-Young
Lee, Sang-Gu
Kang, Hyeon-Jung
Chung, Young-Soo
Park, Soon-Ki
Ryu, Tae-Hun
author_sort Oh, Seon-Woo
collection PubMed
description 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.
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spelling pubmed-79280202021-09-02 Compositional equivalence assessment of insect-resistant genetically modified rice using multiple statistical analyses Oh, Seon-Woo Kim, Eun-Ha Lee, So-Young Baek, Da-Young Lee, Sang-Gu Kang, Hyeon-Jung Chung, Young-Soo Park, Soon-Ki Ryu, Tae-Hun GM Crops Food Research Paper 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. Taylor & Francis 2021-03-01 /pmc/articles/PMC7928020/ /pubmed/33648419 http://dx.doi.org/10.1080/21645698.2021.1893624 Text en © 2021 The Author(s). Published with license by Taylor & Francis Group, LLC. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Oh, Seon-Woo
Kim, Eun-Ha
Lee, So-Young
Baek, Da-Young
Lee, Sang-Gu
Kang, Hyeon-Jung
Chung, Young-Soo
Park, Soon-Ki
Ryu, Tae-Hun
Compositional equivalence assessment of insect-resistant genetically modified rice using multiple statistical analyses
title Compositional equivalence assessment of insect-resistant genetically modified rice using multiple statistical analyses
title_full Compositional equivalence assessment of insect-resistant genetically modified rice using multiple statistical analyses
title_fullStr Compositional equivalence assessment of insect-resistant genetically modified rice using multiple statistical analyses
title_full_unstemmed Compositional equivalence assessment of insect-resistant genetically modified rice using multiple statistical analyses
title_short Compositional equivalence assessment of insect-resistant genetically modified rice using multiple statistical analyses
title_sort compositional equivalence assessment of insect-resistant genetically modified rice using multiple statistical analyses
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7928020/
https://www.ncbi.nlm.nih.gov/pubmed/33648419
http://dx.doi.org/10.1080/21645698.2021.1893624
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