4.8 Article

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

Publisher

NATL ACAD SCIENCES
DOI: 10.1073/pnas.0503955102

Keywords

genetically modified substantial equivalence; machine learning

Funding

  1. Biotechnology and Biological Sciences Research Council [MET20484] Funding Source: researchfish

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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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