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 language | English (US) |
|---|---|
| Pages (from-to) | 14458-14462 |
| Number of pages | 5 |
| Journal | Proceedings of the National Academy of Sciences of the United States of America |
| Volume | 102 |
| Issue number | 40 |
| DOIs | |
| State | Published - Oct 4 2005 |
| Externally published | Yes |
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Keywords
- Genetically modified substantial equivalence
- Machine learning
ASJC Scopus subject areas
- Genetics
- General
Cite this
Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops. / Catchpole, Gareth S.; Beckmann, Manfred; Enot, David P.; Mondhe, Madhav; Zywicki, Britta; Taylor, Janet; Hardy, Nigel; Smith, Aileen; King, Ross D.; Kell, Douglas B.; Fiehn, Oliver; Draper, John.
In: Proceedings of the National Academy of Sciences of the United States of America, Vol. 102, No. 40, 04.10.2005, p. 14458-14462.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops
AU - Catchpole, Gareth S.
AU - Beckmann, Manfred
AU - Enot, David P.
AU - Mondhe, Madhav
AU - Zywicki, Britta
AU - Taylor, Janet
AU - Hardy, Nigel
AU - Smith, Aileen
AU - King, Ross D.
AU - Kell, Douglas B.
AU - Fiehn, Oliver
AU - Draper, John
PY - 2005/10/4
Y1 - 2005/10/4
N2 - 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.
AB - 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.
KW - Genetically modified substantial equivalence
KW - Machine learning
UR - http://www.scopus.com/inward/record.url?scp=26444548613&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=26444548613&partnerID=8YFLogxK
U2 - 10.1073/pnas.0503955102
DO - 10.1073/pnas.0503955102
M3 - Article
C2 - 16186495
AN - SCOPUS:26444548613
VL - 102
SP - 14458
EP - 14462
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
SN - 0027-8424
IS - 40
ER -