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Biosafety Virtual Library Resources (VLR)
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last updated: 09 May 2012

General information
Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops.
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Gareth S. Catchpole, Manfred Beckmann, David P. Enot, Madhav Mondhe, Britta Zywicki, Janet Taylor, Nigel Hardy, Aileen Smith, Ross D. King, Douglas B. Kell John Draper E-mail: jhd@aber.ac.uk Institute of Biological Sciences, University of Wales, Aberystwyth SY23 3DA, United Kingdom
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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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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.
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Keywords for facilitating searching for information in the clearing-houses
  • GBF-T17. Strengthen biosafety and distribute benefits of biotechnology

https://bch.cbd.int/onlineconferences/ra_guidance_references.shtml

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Additional Information
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
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