文章基本信息

标题：Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops
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作者：Gareth S. Catchpole ; Manfred Beckmann ; David P. Enot 等
期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2005
卷号：102
期号：40
页码：14458-14462
DOI：10.1073/pnas.0503955102
语种：English
出版社：The National Academy of Sciences of the United States of America
摘要：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.
关键词：genetically modified substantial equivalence ; machine learning