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Biosafety Virtual Library Resources
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last updated: 09 May 2012
Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops.
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National Academy of Sciences of the United States of America
New York
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2005-10
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Proclamations of the National academy of Sciences (PNAS)
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© 2005 by The National Academy of Sciences of the USA
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- Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops..pdf [ English ]
- PNAS: Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops. [ English ]
Abstract:
There is current debate whether genetically modified (GM) plants might contain unexpected, potentially undesirable changes in overall metabolite composition. However, appropriate analytical technology and acceptable metrics of compositional similarity require development. We describe a comprehensive comparison of total metabolites in field-grown GM and conventional potato tubers using a hierarchical approach initiating with rapid metabolome “fingerprinting” to guide more detailed profiling of metabolites where significant differences are suspected. Central to this strategy are data analysis procedures able to generate validated, reproducible metrics of comparison from complex metabolome data. We show that, apart from targeted changes, these GM potatoes in this study appear substantially equivalent to traditional cultivars.
EN
There is current debate whether genetically modified (GM) plants might contain unexpected, potentially undesirable changes in overall metabolite composition. However, appropriate analytical technology and acceptable metrics of compositional similarity require development. We describe a comprehensive comparison of total metabolites in field-grown GM and conventional potato tubers using a hierarchical approach initiating with rapid metabolome “fingerprinting” to guide more detailed profiling of metabolites where significant differences are suspected. Central to this strategy are data analysis procedures able to generate validated, reproducible metrics of comparison from complex metabolome data. We show that, apart from targeted changes, these GM potatoes in this study appear substantially equivalent to traditional cultivars.
- GBF-T17. Strengthen biosafety and distribute benefits of biotechnology
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Identifier (ISBN, ISSN, etc.)
doi: 10.1073/pnas.0503955102
Format
5 page PDF
Keywords and any other relevant information
Keywords: genetically modified substantial equivalence, machine learning
Citation: PNAS October 4, 2005 vol. 102 no. 40 14458-14462