Safety assessment of transgenic Bacillus thuringiensis rice T1c-19 in Sprague-Dawley rats from metabonomics and bacterial profile perspectives
Autor: | Pengfei Liu, Hui Shi, Yunbo Luo, Xiaoyun He, Bo Cao, Kunlun Huang, Wentao Xu, Sishuo Cao, Yanfang Yuan |
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Rok vydání: | 2011 |
Předmět: |
DNA
Bacterial Male Food Safety Metabolite Transgene Clinical Biochemistry Flour Food Genetically Modified Bacillus thuringiensis Urinalysis Real-Time Polymerase Chain Reaction Biochemistry Rats Sprague-Dawley chemistry.chemical_compound Feces Metabolomics In vivo Toxicity Tests Genetics Animals Food science Molecular Biology biology food and beverages Oryza Cell Biology biology.organism_classification Plants Genetically Modified Genetically modified rice Genetically modified organism Diet Rats chemistry Consumer Product Safety Female Temperature gradient gel electrophoresis Biomarkers |
Zdroj: | IUBMB life. 64(3) |
ISSN: | 1521-6551 |
Popis: | Bacillus thuringiensis rice is facing commercialization as the main food source in the near future. The unintended effects of genetically modified (GM) organisms are the most important barriers to their promotion. We aimed to establish a new in vivo evaluation model for genetically modified foods by using metabonomics and bacterial profile approaches. T1c-19 rice flour or its transgenic parent MH63 was used at 70% wt/wt to produce diets that were fed to rats for ∼ 90 days. Urine metabolite changes were detected using (1)H NMR. Denaturing gradient gel electrophoresis and real-time polymerase chain reaction (RT-PCR) were used to detect the bacterial profiles between the two groups. The metabonomics was analyzed for metabolite changes in rat urine, when compared with the non-GM rice group, where rats were fed a GM rice diet. Several metabolites correlated with rat age and sex but not with GM rice diet. Significant biological differences were not identified between the GM rice diet and the non-GM rice diet. The bacteria related to rat urine metabolites were also discussed. The results from metabonomics and bacterial profile analyses were comparable with the results attained using the traditional method. Because metabonomics and bacterial profiling offer noninvasive, dynamic approaches for monitoring food safety, they provide a novel process for assessing the safety of GM foods. |
Databáze: | OpenAIRE |
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