Literature DB >> 19233746

Metabolic profiling of transgenic rice with cryIAc and sck genes: an evaluation of unintended effects at metabolic level by using GC-FID and GC-MS.

Jia Zhou1, Chenfei Ma, Honglin Xu, Kailong Yuan, Xin Lu, Zhen Zhu, Yongning Wu, Guowang Xu.   

Abstract

The cryIAc and sck genes were introduced to the rice for the purpose of improving the insect resistance. Metabolic profiles of wild and transgenic rice were compared to assess the unintended effects related to gene modification. Wild samples with different sowing dates or sites were also examined to determine the environmental effects on metabolites. The polar compounds of grains were extracted, trimethylsilylated and analyzed by gas chromatography-flame ionization detection (GC-FID). Partial least squares-discriminant analysis (PLS-DA) and principal component analysis (PCA) were applied to differentiate transgenic and wild rice grains. The significantly distinguishable metabolites were picked out, and then identified by gas chromatography-mass spectrometry (GC-MS). It was found that both the environment and gene manipulation had remarkable impacts on the contents of glycerol-3-phosphate, citric acid, linoleic acid, oleic acid, hexadecanoic acid, 2,3-dihydroxypropyl ester, sucrose, 9-octadecenoic acid (Z)-, 2,3-dihydroxypropyl ester and so on. Sucrose, mannitol and glutamic acid had a significant increase in transgenic grains in contrast to those in non-genetically modified (GM) rice.

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Year:  2009        PMID: 19233746     DOI: 10.1016/j.jchromb.2009.01.040

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  12 in total

1.  Metabolic profiling based on LC/MS to evaluate unintended effects of transgenic rice with cry1Ac and sck genes.

Authors:  Yuwei Chang; Chunxia Zhao; Zhen Zhu; Zeming Wu; Jia Zhou; Yanni Zhao; Xin Lu; Guowang Xu
Journal:  Plant Mol Biol       Date:  2012-01-22       Impact factor: 4.076

Review 2.  Evaluation of genetically engineered crops using transcriptomic, proteomic, and metabolomic profiling techniques.

Authors:  Agnès E Ricroch; Jean B Bergé; Marcel Kuntz
Journal:  Plant Physiol       Date:  2011-02-24       Impact factor: 8.340

3.  Lipid profiles reveal different responses to brown planthopper infestation for pest susceptible and resistant rice plants.

Authors:  Jiajiao Zhang; Yi Li; Jianping Guo; Bo Du; Guangcun He; Yingjun Zhang; Rongzhi Chen; Jiaru Li
Journal:  Metabolomics       Date:  2018-09-03       Impact factor: 4.290

Review 4.  Metabolomics of genetically modified crops.

Authors:  Carolina Simó; Clara Ibáñez; Alberto Valdés; Alejandro Cifuentes; Virginia García-Cañas
Journal:  Int J Mol Sci       Date:  2014-10-20       Impact factor: 5.923

5.  Comparative analysis of miRNA expression profiles in transgenic and non-transgenic rice using miRNA-Seq.

Authors:  Cheng Peng; Xiaoyun Chen; Xiaofu Wang; Xiaoli Xu; Wei Wei; Congmao Wang; Junfeng Xu
Journal:  Sci Rep       Date:  2018-01-10       Impact factor: 4.379

6.  Transcriptome and metabolome analysis of liver and kidneys of rats chronically fed NK603 Roundup-tolerant genetically modified maize.

Authors:  Robin Mesnage; Matthew Arno; Gilles-Eric Séralini; Michael N Antoniou
Journal:  Environ Sci Eur       Date:  2017-02-07       Impact factor: 5.893

7.  Effects of genetically modified T2A-1 rice on the GI health of rats after 90-day supplement.

Authors:  Yanfang Yuan; Wentao Xu; Xiaoyun He; Haiyan Liu; Sishuo Cao; Xiaozhe Qi; Kunlun Huang; Yunbo Luo
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

8.  The potential of rice to offer solutions for malnutrition and chronic diseases.

Authors:  Sharifa Sultana Dipti; Christine Bergman; Siti Dewi Indrasari; Theja Herath; Robert Hall; Hueihong Lee; Fatemeh Habibi; Priscila Zaczuk Bassinello; Eduardo Graterol; Julie P Ferraz; Melissa Fitzgerald
Journal:  Rice (N Y)       Date:  2012-07-02       Impact factor: 4.783

Review 9.  Plant Metabolomics: An Indispensable System Biology Tool for Plant Science.

Authors:  Jun Hong; Litao Yang; Dabing Zhang; Jianxin Shi
Journal:  Int J Mol Sci       Date:  2016-06-01       Impact factor: 5.923

10.  Republished study: long-term toxicity of a Roundup herbicide and a Roundup-tolerant genetically modified maize.

Authors:  Gilles-Eric Séralini; Emilie Clair; Robin Mesnage; Steeve Gress; Nicolas Defarge; Manuela Malatesta; Didier Hennequin; Joël Spiroux de Vendômois
Journal:  Environ Sci Eur       Date:  2014-06-24       Impact factor: 5.893

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