Hierarchical metabolomics demonstrates substantial compositional similarity between genetically-modified and conventional potato crops

Gareth Catchpole, Manfred Beckmann, David Pierre Louis Enot, Madhav Mondhe, Britta Zywicki, Janet Taylor, Nigel William Hardy, Aileen Roberta Smith, Ross Donald King, Douglas B. Kell, Oliver Fiehn, John Draper

Research output: Contribution to journalArticlepeer-review

335 Citations (SciVal)
133 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)14458-14462
Number of pages5
JournalProceedings of the National Academy of Sciences of the United States of America
Volume102
Issue number40
Early online date26 Sept 2005
DOIs
Publication statusPublished - 04 Oct 2005

Keywords

  • genetically modified substantial equivalence machine learning

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