Simó Carolina, Ibáñez Clara, Valdés Alberto, Cifuentes Alejandro, García-Cañas Virginia
Laboratory of Foodomics, Institute of Food Science Research (CIAL), Spanish National Research Council (CSIC), Nicolas Cabrera 9, Cantoblanco Campus, Madrid 28049, Spain.
Int J Mol Sci. 2014 Oct 20;15(10):18941-66. doi: 10.3390/ijms151018941.
Metabolomic-based approaches are increasingly applied to analyse genetically modified organisms (GMOs) making it possible to obtain broader and deeper information on the composition of GMOs compared to that obtained from traditional analytical approaches. The combination in metabolomics of advanced analytical methods and bioinformatics tools provides wide chemical compositional data that contributes to corroborate (or not) the substantial equivalence and occurrence of unintended changes resulting from genetic transformation. This review provides insight into recent progress in metabolomics studies on transgenic crops focusing mainly in papers published in the last decade.
基于代谢组学的方法越来越多地应用于分析转基因生物(GMO),与传统分析方法相比,这使得获取有关转基因生物组成的更广泛、更深入的信息成为可能。先进分析方法与生物信息学工具在代谢组学中的结合提供了广泛的化学成分数据,有助于证实(或否定)基因转化导致的实质等同性和意外变化的发生。本综述深入探讨了转基因作物代谢组学研究的最新进展,主要集中在过去十年发表的论文。