Literature DB >> 26581949

Metabolic changes in transgenic maize mature seeds over-expressing the Aspergillus niger phyA2.

Jun Rao1,2, Litao Yang1, Jinchao Guo1, Sheng Quan1,3, Guihua Chen1, Xiangxiang Zhao4, Dabing Zhang1,5, Jianxin Shi6,7.   

Abstract

KEY MESSAGE: Non-targeted metabolomics analysis revealed only intended metabolic changes in transgenic maize over-expressing the Aspergillus niger phyA2. Genetically modified (GM) crops account for a large proportion of modern agriculture worldwide, raising increasingly the public concerns of safety. Generally, according to substantial equivalence principle, if a GM crop is demonstrated to be equivalently safe to its conventional species, it is supposed to be safe. In this study, taking the advantage of an established non-target metabolomic profiling platform based on the combination of UPLC-MS/MS with GC-MS, we compared the mature seed metabolic changes in transgenic maize over-expressing the Aspergillus niger phyA2 with its non-transgenic counterpart and other 14 conventional maize lines. In total, levels of nine out of identified 210 metabolites were significantly changed in transgenic maize as compared with its non-transgenic counterpart, and the number of significantly altered metabolites was reduced to only four when the natural variations were taken into consideration. Notably, those four metabolites were all associated with targeted engineering pathway. Our results indicated that although both intended and non-intended metabolic changes occurred in the mature seeds of this GM maize event, only intended metabolic pathway was found to be out of the range of the natural metabolic variation in the metabolome of the transgenic maize. Therefore, only when natural metabolic variation was taken into account, could non-targeted metabolomics provide reliable objective compositional substantial equivalence analysis on GM crops.

Entities:  

Keywords:  GC–MS; Phytase; Safety assessment; Substantial equivalence; Transgenic; UPLC-MS/MS

Mesh:

Substances:

Year:  2015        PMID: 26581949     DOI: 10.1007/s00299-015-1894-6

Source DB:  PubMed          Journal:  Plant Cell Rep        ISSN: 0721-7714            Impact factor:   4.570


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