Please wait a minute...

中国生物工程杂志

China Biotechnology
China Biotechnology  2012, Vol. 32 Issue (11): 35-41    DOI:
    
Metabonomic Study on the Composition of Insect-resistant Transgenic Cottonseeds
SUN Cai-xia1, WANG Ying1, WU Xiao-fei1, CHEN Li-jun2, WU Zhi-jie2
1. Institute of Biotechnology, Northeastern University, Shenyang 110819, China;
2. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Download: HTML   PDF(717KB) HTML
Export: BibTeX | EndNote (RIS)      

Abstract  The term of metabolome has been used to describe the responses of plant to external perturbations recently. The study of metabolite profiling of different insect-resistant cottonseeds and their non-transgenic counterparts using 1H NMR and multivariate analysis technique was performed to investigate the unintended metabolic variations associated with genetic modifications. The results obtained showed that the overall appearance of the spectrum was quite similar among different cottonseeds. However, there were many different peak signals in the animo acids region (3~0.5 ppm) of the expansion spectra of transgenic cottonseeds when compared with their controls. Although score plots generated using principal component analysis showed the potential to distinguish transgenic cottonseeds from non-transgenic controls, a better classification between them was obtained by partial least square-discriminant analysis. The major compounds contributing to the discrimination were those metabolites that involved the metabolic pathway of fatty acid, the primary nitrogen metabolism and the tricarboxylic acid cycle.

Key words1H      NMR      Insect-resistant transgenic cottonseeds      Metabonomics      Multivariate analysis      Safety assessment     
Received: 21 June 2012      Published: 25 November 2012
ZTFLH:  O657.3  
Cite this article:

SUN Cai-xia, WANG Ying, WU Xiao-fei, CHEN Li-jun, WU Zhi-jie. Metabonomic Study on the Composition of Insect-resistant Transgenic Cottonseeds. China Biotechnology, 2012, 32(11): 35-41.

URL:

https://manu60.magtech.com.cn/biotech/     OR     https://manu60.magtech.com.cn/biotech/Y2012/V32/I11/35

[1] 许国旺, 杨军. 代谢组学及其研究进展. 色谱, 2003, 21(4): 316-320. Xu G W, Yang J. Recent advances in metabonomics. Chinese Journal of Chromatography, 2003, 21(4): 316-320.
[2] Stitt M, Sulpice R, Keurentjes J. Metabolic Networks: How to identify key components in the regulation of metabolism and growth. Plant Physiology, 2010, 152(2): 428-444.
[3] Stitt M. Nitrate regulation of metabolism and growth. Current Opinion in Plant Biology, 1999, 2(3): 178-186.
[4] 滕中秋, 付卉青, 贾少华, 等. 植物应答非生物胁迫的代谢组学研究进展. 植物生态学报, 2011, 35 (1): 110-118. Teng Z Q, Fu H Q, Jia S H, et al. Review of current progress in the metabolomics for plant response to abiotic stress. Chinese Journal of Plant Ecology, 2011, 35 (1): 110-118.
[5] Cellini F, Chesson A, Colquhoun I, et al. Unintended effects and their detection in genetically modified crops. Food and Chemical Toxicology, 2004, 42(7): 1089-1125.
[6] Karl-Heinz O, Nelly A, Singh B, et al. Metabonomics classifies pathways affected by bioactive compounds. Phytochemistry, 2003, 62(6): 971-985.
[7] Noteborn H P J M, Lommen A, van der Jagt R C, et al. Chemical fingerprinting for the evaluation of unintended secondary metabolic changes in transgenic food crops. Journal of Biotechnology, 2000, 77(1): 103-114.
[8] Roessner U, Luedemann A, Brust D, et al. Metabolic profiling allows comprehensive phenotyping of genetically or environmentally modified plant systems. Plant Cell, 2001, 13(1):11-29.
[9] Charlton A J, Farrington W H H, Brereton P J. Application of 1H NMR and multivariate statistics for screening complex mixtures: quality control and authenticity of instant coffee. Journal of Agricultural Food Chemistry, 2002, 50(11): 3098-3103.
[10] Manetti C, Bianchetti C, Casciani L, et al. A metabonomic study of transgenic maize (Zea mays) seeds revealed variations in osmolytes and branched Amino Acids. Journal of Experimental Botany, 2006, 57, (11): 2613-2625.
[11] Elangovan A V, Tyagi PK, Shrivastav A K, et al. GMO ( Bt-Cry1Ac gene) cottonseed meal is cimilar to non-GMO low free gossypol cottonseed meal for growth performance of broiler chickens. Animal Feed Science Technology, 2006, 129(3-4): 252-263.
[12] Gall Le G, Metzdorff S B, Pedersen J, et al. Metabolite profiling of Arabidopsis thaliana (L.) plants transformed with an antisense chalcone synthase gene. Metabolomics, 2005, 1(2): 181-198.
[13] Ren Y, Wang T, Peng Y, et al. Distinguish transgenic from non-transgenic Arabidopsis plants by 1H NMR-based metabolic fingerprinting. Journal of Genetic and Genomics, 2009, 36(10):621-628.
[14] Choi H K, Choi Y H, Verberne M, et al. Metabolic fingerprinting of wild type and transgenic tobacco plants by 1H NMR and multivariate analysis technique. Phytochemistry, 2004, 65(7): 857-864.
[15] Trygg J, Holmes E, Lundstedt T J. Chemometrics in metabonomics. Journal of Proteome Research, 2007, 6(2): 469-479.
[16] Savorani F, Tomasi G, Engelsen S B. icoshift: A versatile tool for the rapid alignment of 1D NMR spectra. Journal of Magnetic Resonance, 2010, 202(2): 190-202.
[17] 贾伟. 医学代谢组学. 上海:上海科学技术出版社, 2011. 193-218. Jia W. Medical Metabonomics. Shanghai: Shanghai Science and Technology Press, 2011. 193-218.
[18] Wold S, Sjstrm M, Eriksson L. PLS-regression: a basic tool of chemometrics. Chemometrics and Intelligent Laboratory Systems, 2001, 58(2): 109-130.
[19] Wiklund S, Johansson E, Sjostrom L, et al. Visualization of GC/TOF-MS-based metabolomics data for identification of biochemically interesting compounds using OPLS class models. Analytical Chemistry, 2008, 80(1): 115-122.
[20] Castro C, Manetti C. A multiway approach to analyze metabonomic data: a study of maize seeds development. Analytical Biochemistry, 2007, 371(2):194-200.
[21] Beneduci A, Chidichimo G, Dardo G, et al. Highly routinely reproducible alignment of 1H NMR spectral peaks of metabolites in huge sets of urines. Analytica Chimica Acta, 2011, 685(2):186-195.
[22] Sieciechowicz K A, Joy K W, Ireland R J. The metabolism of asparagine in plants. Phytochemistry, 1988, 27(3): 663-671.
[23] 孙彩霞, 张玉兰, 孙玉全, 等. 三种不同光谱学方法测定转基因抗虫棉组织营养元素含量. 光谱学与光谱分析, 2009, 29(11): 3038-3041. Sun C X, Zhang Y L, Sun Y Q, et al. Determination of nutrient elements in transgenic insect-resistant cotton tissues by three different spectroscopical methods. Spectroscopy and Spectral Analysis, 2009, 29(11): 3038-3041.
[24] Conner A J, Jacobs J M E. Genetic engineering of crops as potential source of genetic hazard in the human diet. Mutation Research, Genetic Toxicology and Environmental Mutagenesis, 1999, 443(1-2): 223-234.
[25] Bouché N, Fromm H. GABA in plants: just a metabolite? Trends in Plant Science, 2004, 9(3): 110-115.
[26] Schultz J C. Biochemical ecology: how plants fight dirty. Nature, 2002, 416(6878): 267-271.
[27] Poerschmann J, Rauschen S, Langer U, et al. Fatty acid patterns of genetically modified Cry3Bb1 expressing Bt-maize MON88017 and its near-isogenic line. Journal of Agricultural Food Chemistry, 2009, 57(1): 127-132.
[28] Defernez M, Gunning Y M, Parr A J, et al. NMR and HPLC-UV profiling of potatoes with genetic modifications to metabolic pathways. Journal of Agricultural and Food Chemistry, 2004, 52(20): 6075-6085.
[1] Juan-juan QU,Xiao-bei ZHAN,Hong-tao ZHANG,Xian-chao ZHOU,Yu-chen JIA,Xue-ying CAO. Identification of Cyclic β-1,2-glucan Produced under pH Control[J]. China Biotechnology, 2018, 38(6): 43-51.
[2] Si-ming JIAO,Gong CHENG,Yu-chen ZHANG,Cui FENG,Li-shi REN,Jian-jun LI,Yu-guang DU. Expression of Chitinase from Trichoderma reesei and Analysis the Composition and Structure of its Hydrolysates[J]. China Biotechnology, 2018, 38(10): 30-37.
[3] WANG Xu-jing, ZHANG Xin, LIU Pei-lei, WANG Zhi-xing. The Application and Safety Assessment of Stacked Transgenic Plant[J]. China Biotechnology, 2016, 36(4): 18-23.
[4] ZHONG Cheng, LIU Ling-pu, LI Qing-liang, YANG Pan-fei, HAO Jun-guang, JIA Shi-ru. Analyze the Mechanism of Flavor Compounds Formation Using Metabonomics Method During Industrial Beer Fermentation[J]. China Biotechnology, 2016, 36(12): 49-58.
[5] SUN Cai-xia, WANG Ying, WU Xiao-fei, CHEN Li-jun, WU Zhi-jie. Metabonomic Study on the Composition of Insect-resistant Transgenic Cottonseeds[J]. China Biotechnology, 2012, 32(11): 35-41.