Kusano, M; Redestig, H; Hirai, T; Oikawa, A; Matsuda, F; Fukushima, A; Arita, M; Watanabe, S; Yano, M; Hiwasa-Tanase, K; Ezura, H; Saito, K
PLOS ONE. 2011 February. 6(2): e16989
Link to full text (open access, freely available)
PMID: 21359231 DOI: 10.1371/journal.pone.0016989 ISSN: 1932-6203
As metabolomics can provide a biochemical snapshot of an organism's phenotype it is a promising approach for charting the unintended effects of genetic modification. A critical obstacle for this application is the inherently limited metabolomic coverage of any single analytical platform. We propose using multiple analytical platforms for the direct acquisition of an interpretable data set of estimable chemical diversity. As an example, we report an application of our multi-platform approach that assesses the substantial equivalence of tomatoes over-expressing the taste-modifying protein miraculin. In combination, the chosen platforms detected compounds that represent 86% of the estimated chemical diversity of the metabolites listed in the LycoCyc database. Following a proof-of-safety approach, we show that % had an acceptable range of variation while simultaneously indicating a reproducible transformation-related metabolic signature. We conclude that multi-platform metabolomics is an approach that is both sensitive and robust and that it constitutes a good starting point for characterizing genetically modified organisms.
Kusano, M, H Redestig, T Hirai, A Oikawa, F Matsuda, A Fukushima, M Arita, S Watanabe, M Yano, K Hiwasa-Tanase, H Ezura, K Saito. "Covering chemical diversity of genetically-modified tomatoes using metabolomics for objective substantial equivalence assessment." PLOS ONE 6.2 (2011): e16989. Web. 26 Jun. 2019.
Kusano, M., Redestig, H., Hirai, T., Oikawa, A., Matsuda, F., Fukushima, A., Arita, M., Watanabe, S., Yano, M., Hiwasa-Tanase, K., Ezura, H., & Saito, K. (2011). Covering chemical diversity of genetically-modified tomatoes using metabolomics for objective substantial equivalence assessment. PLOS ONE, 6(2), e16989. doi:10.1371/journal.pone.0016989
Please verify citations before use, citations are automatically generated based on information stored within the GENERA database and therefore may or may not be correct.