Literature DB >> 22271304

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

Yuwei Chang1, Chunxia Zhao, Zhen Zhu, Zeming Wu, Jia Zhou, Yanni Zhao, Xin Lu, Guowang Xu.   

Abstract

As a primary characteristic of substantial equivalence, the evaluation of unintended effects of genetically modified plants has been evolving into an important field of research. In this study, a metabolic profiling method for rice seeds was developed using rapid resolution liquid chromatography/quadrupole time-of-flight mass spectrometry. The analytical properties of the method, including the linearity, reproducibility, intra-day precision and inter-day precision, were investigated and were found to be satisfactory. The method was then applied to investigate the differences between transgenic rice and its native counterparts, in addition to the differences found between native rice with different sowing dates or locations. Global metabolic phenotype differences were visualized, and metabolites from different discriminated groups were discovered using multivariate data analysis. The results indicated that environmental factors played a greater role than gene modification for most metabolites, including tryptophan, 9,10,13-trihydroxyoctadec-11-enoic acid, and lysophosphatidylethanolamine 16:0. The concentrations of phytosphingosine, palmitic acid, 5-hydroxy-2-octadenoic acid and three other unidentified metabolites varied slightly due to gene modification.

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Year:  2012        PMID: 22271304     DOI: 10.1007/s11103-012-9876-3

Source DB:  PubMed          Journal:  Plant Mol Biol        ISSN: 0167-4412            Impact factor:   4.076


  26 in total

1.  Fungal pathogen protection in potato by expression of a plant defensin peptide.

Authors:  A G Gao; S M Hakimi; C A Mittanck; Y Wu; B M Woerner; D M Stark; D M Shah; J Liang; C M Rommens
Journal:  Nat Biotechnol       Date:  2000-12       Impact factor: 54.908

2.  Biochemical safety evaluation of transgenic rice seeds expressing T cell epitopes of Japanese cedar pollen allergens.

Authors:  Hidenori Takagi; Sakiko Hirose; Hiroshi Yasuda; Fumio Takaiwa
Journal:  J Agric Food Chem       Date:  2006-12-27       Impact factor: 5.279

3.  Capillary electrophoresis time-of-flight mass spectrometry for comparative metabolomics of transgenic versus conventional maize.

Authors:  Tuuli Levandi; Carlos Leon; Mihkel Kaljurand; Virginia Garcia-Cañas; Alejandro Cifuentes
Journal:  Anal Chem       Date:  2008-07-09       Impact factor: 6.986

Review 4.  Bacillus thuringiensis and its pesticidal crystal proteins.

Authors:  E Schnepf; N Crickmore; J Van Rie; D Lereclus; J Baum; J Feitelson; D R Zeigler; D H Dean
Journal:  Microbiol Mol Biol Rev       Date:  1998-09       Impact factor: 11.056

Review 5.  Bt: mode of action and use.

Authors:  Mark E Whalon; Byron A Wingerd
Journal:  Arch Insect Biochem Physiol       Date:  2003-12       Impact factor: 1.698

6.  Characterization and content of flavonoid glycosides in genetically modified tomato (Lycopersicon esculentum) fruits.

Authors:  Gwénaëlle Le Gall; M Susan DuPont; Fred A Mellon; Adrienne L Davis; Geoff J Collins; Martine E Verhoeyen; Ian J Colquhoun
Journal:  J Agric Food Chem       Date:  2003-04-23       Impact factor: 5.279

7.  Impact of genetics and environment on nutritional and metabolite components of maize grain.

Authors:  George G Harrigan; Leanna G Stork; Susan G Riordan; Tracey L Reynolds; William P Ridley; James D Masucci; Susan Macisaac; Steven C Halls; Robert Orth; Ronald G Smith; Li Wen; Wayne E Brown; Michael Welsch; Rochelle Riley; David McFarland; Anand Pandravada; Kevin C Glenn
Journal:  J Agric Food Chem       Date:  2007-07-03       Impact factor: 5.279

8.  Flavonoid profiling among wild type and related GM wheat varieties.

Authors:  Jean-Robert Ioset; Bartosz Urbaniak; Karine Ndjoko-Ioset; Judith Wirth; Frédéric Martin; Wilhelm Gruissem; Kurt Hostettmann; Christof Sautter
Journal:  Plant Mol Biol       Date:  2007-09-12       Impact factor: 4.076

9.  Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops.

Authors:  Gareth S Catchpole; Manfred Beckmann; David P Enot; Madhav Mondhe; Britta Zywicki; Janet Taylor; Nigel Hardy; Aileen Smith; Ross D King; Douglas B Kell; Oliver Fiehn; John Draper
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-26       Impact factor: 11.205

10.  Assessing the potential for unintended effects in genetically modified potatoes perturbed in metabolic and developmental processes. Targeted analysis of key nutrients and anti-nutrients.

Authors:  Louise V T Shepherd; James W McNicol; Ruth Razzo; Mark A Taylor; Howard V Davies
Journal:  Transgenic Res       Date:  2006-08       Impact factor: 3.145

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  12 in total

1.  Transcriptome and metabolome analyses revealing the potential mechanism of seed germination in Polygonatum cyrtonema.

Authors:  Rong Liu; Jing Lu; Jiayi Xing; Mei Du; Mingxiu Wang; Lei Zhang; Yunfang Li; Chihong Zhang; Yu Wu
Journal:  Sci Rep       Date:  2021-06-09       Impact factor: 4.379

2.  Insect-protected event DAS-81419-2 soybean (Glycine max L.) grown in the United States and Brazil is compositionally equivalent to nontransgenic soybean.

Authors:  Brandon J Fast; Ariane C Schafer; Tempest Y Johnson; Brian L Potts; Rod A Herman
Journal:  J Agric Food Chem       Date:  2015-02-12       Impact factor: 5.279

Review 3.  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

4.  Variation among conventional cultivars could be used as a criterion for environmental safety assessment of Bt rice on nontarget arthropods.

Authors:  Fang Wang; Cong Dang; Xuefei Chang; Junce Tian; Zengbin Lu; Yang Chen; Gongyin Ye
Journal:  Sci Rep       Date:  2017-02-07       Impact factor: 4.379

5.  Deciphering drought-induced metabolic responses and regulation in developing maize kernels.

Authors:  Liming Yang; Jake C Fountain; Pingsheng Ji; Xinzhi Ni; Sixue Chen; Robert D Lee; Robert C Kemerait; Baozhu Guo
Journal:  Plant Biotechnol J       Date:  2018-02-12       Impact factor: 9.803

6.  Comparative Metabolic Profiling of Grape Skin Tissue along Grapevine Berry Developmental Stages Reveals Systematic Influences of Root Restriction on Skin Metabolome.

Authors:  Shuyan Duan; Yusen Wu; Ruifeng Fu; Lei Wang; Yujin Chen; Wenping Xu; Caixi Zhang; Chao Ma; Jianxin Shi; Shiping Wang
Journal:  Int J Mol Sci       Date:  2019-01-28       Impact factor: 5.923

Review 7.  Evaluation of the use of untargeted metabolomics in the safety assessment of genetically modified crops.

Authors:  Mohamed Bedair; Kevin C Glenn
Journal:  Metabolomics       Date:  2020-10-09       Impact factor: 4.290

8.  A metabolomics study delineating geographical location-associated primary metabolic changes in the leaves of growing tobacco plants by GC-MS and CE-MS.

Authors:  Yanni Zhao; Jieyu Zhao; Chunxia Zhao; Huina Zhou; Yanli Li; Junjie Zhang; Lili Li; Chunxiu Hu; Wenzheng Li; Xiaojun Peng; Xin Lu; Fucheng Lin; Guowang Xu
Journal:  Sci Rep       Date:  2015-11-09       Impact factor: 4.379

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.  Roundup®, but Not Roundup-Ready® Corn, Increases Mortality of Drosophila melanogaster.

Authors:  Becky Talyn; Rachael Lemon; Maryam Badoella; Darwin Melchiorre; Maryori Villalobos; Raquel Elias; Kelly Muller; Maggie Santos; Erik Melchiorre
Journal:  Toxics       Date:  2019-07-31
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