Safety assessment of transgenic Bacillus thuringiensis rice T1c-19 in Sprague-Dawley rats from metabonomics and bacterial profile perspectives

被引:22
作者
Cao, Sishuo [1 ]
He, Xiaoyun [1 ]
Xu, Wentao [1 ,2 ]
Luo, YunBo [1 ,2 ]
Yuan, Yanfang [1 ]
Liu, Pengfei [2 ]
Cao, Bo [2 ]
Shi, Hui [2 ]
Huang, Kunlun [1 ,2 ]
机构
[1] China Agr Univ, Lab Food Safety & Mol Biol, Coll Food Sci & Nutr Engn, Beijing 100083, Peoples R China
[2] Minist Agr, Supervis Inspect & Testing Ctr Genet Modified Org, Beijing 100083, Peoples R China
关键词
safety assessment; metabonomics; bacterial profile; T1c-19; rice; GMO; REAL-TIME PCR; GLOBAL SYSTEMS BIOLOGY; H-1-NMR SPECTROSCOPY; NMR-SPECTROSCOPY; PRIMERS; TRIMETHYLAMINE; QUANTIFICATION; LACTOBACILLUS; LA(NO3)(3); METABOLISM;
D O I
10.1002/iub.601
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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 similar to 90 days. Urine metabolite changes were detected using 1H 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. (c) 2012 IUBMB IUBMB Life, 2012.
引用
收藏
页码:242 / 250
页数:9
相关论文
共 49 条
[1]  
[Anonymous], GBT500952003
[2]  
[Anonymous], GBT500932003
[3]  
[Anonymous], GB15193132003
[4]  
[Anonymous], GBT500942003
[5]  
[Anonymous], GBT500962003
[6]   DYSFUNCTIONAL N-OXIDATION OF TRIMETHYLAMINE AND THE INFLUENCE OF TESTOSTERONE TREATMENT IN MAN [J].
AYESH, R ;
MITCHELL, SC ;
SMITH, RL .
PHARMACOGENETICS, 1995, 5 (04) :244-246
[7]   Characterization of bacterial communities in feces from healthy elderly volunteers and hospitalized elderly patients by using real-time PCR and effects of antibiotic treatment on the fecal microbiota [J].
Bartosch, S ;
Fite, A ;
Macfarlane, GT ;
McMurdo, MET .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2004, 70 (06) :3575-3581
[8]   Evaluation of predicted network modules in yeast metabolism using NMR-based metabolite profiling [J].
Bundy, Jacob G. ;
Papp, Balazs ;
Harmston, Rebecca ;
Browne, Roy A. ;
Clayson, Edward M. ;
Burton, Nicola ;
Reece, Richard J. ;
Oliver, Stephen G. ;
Brindle, Kevin M. .
GENOME RESEARCH, 2007, 17 (04) :510-519
[9]   Changes in gut microbiota control inflammation in obese mice through a mechanism involving GLP-2-driven improvement of gut permeability [J].
Cani, P. D. ;
Possemiers, S. ;
Van de Wiele, T. ;
Guiot, Y. ;
Everard, A. ;
Rottier, O. ;
Geurts, L. ;
Naslain, D. ;
Neyrinck, A. ;
Lambert, D. M. ;
Muccioli, G. G. ;
Delzenne, N. M. .
GUT, 2009, 58 (08) :1091-1103
[10]   Metabonomics study of transgenic Bacillus thuringiensis rice (T2A-1) meal in a 90-day dietary toxicity study in rats [J].
Cao, Sishuo ;
Xu, Wentao ;
Luo, Yunbo ;
He, Xiaoyun ;
Yuan, Yanfang ;
Ran, Wenjun ;
Liang, Lixing ;
Huang, Kunlun .
MOLECULAR BIOSYSTEMS, 2011, 7 (07) :2304-2310