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Assessment of Genetically Modified Soybean in Relation to Natural Variation in the Soybean Seed Metabolome
Genetically modified (GM) crops currently constitute a significant and growing part of agriculture. An important aspect of GM crop adoption is to demonstrate safety and equivalence with respect to conventional crops. Untargeted metabolomics has the ability to profile diverse classes of metabolites a...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3812653/ https://www.ncbi.nlm.nih.gov/pubmed/24170158 http://dx.doi.org/10.1038/srep03082 |
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author | Clarke, Joseph D. Alexander, Danny C. Ward, Dennis P. Ryals, John A. Mitchell, Matthew W. Wulff, Jacob E. Guo, Lining |
author_facet | Clarke, Joseph D. Alexander, Danny C. Ward, Dennis P. Ryals, John A. Mitchell, Matthew W. Wulff, Jacob E. Guo, Lining |
author_sort | Clarke, Joseph D. |
collection | PubMed |
description | Genetically modified (GM) crops currently constitute a significant and growing part of agriculture. An important aspect of GM crop adoption is to demonstrate safety and equivalence with respect to conventional crops. Untargeted metabolomics has the ability to profile diverse classes of metabolites and thus could be an adjunct for GM crop substantial equivalence assessment. To account for environmental effects and introgression of GM traits into diverse genetic backgrounds, we propose that the assessment for GM crop metabolic composition should be understood within the context of the natural variation for the crop. Using a non-targeted metabolomics platform, we profiled 169 metabolites and established their dynamic ranges from the seeds of 49 conventional soybean lines representing the current commercial genetic diversity. We further demonstrated that the metabolome of a GM line had no significant deviation from natural variation within the soybean metabolome, with the exception of changes in the targeted engineered pathway. |
format | Online Article Text |
id | pubmed-3812653 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-38126532013-10-30 Assessment of Genetically Modified Soybean in Relation to Natural Variation in the Soybean Seed Metabolome Clarke, Joseph D. Alexander, Danny C. Ward, Dennis P. Ryals, John A. Mitchell, Matthew W. Wulff, Jacob E. Guo, Lining Sci Rep Article Genetically modified (GM) crops currently constitute a significant and growing part of agriculture. An important aspect of GM crop adoption is to demonstrate safety and equivalence with respect to conventional crops. Untargeted metabolomics has the ability to profile diverse classes of metabolites and thus could be an adjunct for GM crop substantial equivalence assessment. To account for environmental effects and introgression of GM traits into diverse genetic backgrounds, we propose that the assessment for GM crop metabolic composition should be understood within the context of the natural variation for the crop. Using a non-targeted metabolomics platform, we profiled 169 metabolites and established their dynamic ranges from the seeds of 49 conventional soybean lines representing the current commercial genetic diversity. We further demonstrated that the metabolome of a GM line had no significant deviation from natural variation within the soybean metabolome, with the exception of changes in the targeted engineered pathway. Nature Publishing Group 2013-10-30 /pmc/articles/PMC3812653/ /pubmed/24170158 http://dx.doi.org/10.1038/srep03082 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/3.0/ This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/ |
spellingShingle | Article Clarke, Joseph D. Alexander, Danny C. Ward, Dennis P. Ryals, John A. Mitchell, Matthew W. Wulff, Jacob E. Guo, Lining Assessment of Genetically Modified Soybean in Relation to Natural Variation in the Soybean Seed Metabolome |
title | Assessment of Genetically Modified Soybean in Relation to Natural Variation in the Soybean Seed Metabolome |
title_full | Assessment of Genetically Modified Soybean in Relation to Natural Variation in the Soybean Seed Metabolome |
title_fullStr | Assessment of Genetically Modified Soybean in Relation to Natural Variation in the Soybean Seed Metabolome |
title_full_unstemmed | Assessment of Genetically Modified Soybean in Relation to Natural Variation in the Soybean Seed Metabolome |
title_short | Assessment of Genetically Modified Soybean in Relation to Natural Variation in the Soybean Seed Metabolome |
title_sort | assessment of genetically modified soybean in relation to natural variation in the soybean seed metabolome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3812653/ https://www.ncbi.nlm.nih.gov/pubmed/24170158 http://dx.doi.org/10.1038/srep03082 |
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