Literature DB >> 17166140

NMR profiling of transgenic peas.

Adrian Charlton1, Theo Allnutt, Stephen Holmes, James Chisholm, Samantha Bean, Noel Ellis, Phil Mullineaux, Sarah Oehlschlager.   

Abstract

A high throughput proton nuclear magnetic resonance spectroscopy method for the metabolite fingerprinting of plants was applied to genetically modified peas (Pisum sativum) to determine whether biochemical changes, so called 'unintended effects', beyond those intended by incorporation of a transgene, were detectable. Multivariate analysis of 1H NMR (nuclear magnetic resonance) spectra obtained from uniformly grown glasshouse plants revealed differences between the transgenic and control group that exceeded the natural variation of the plants. When a larger data set of six related transgenic lines was analysed, including a null segregant in addition to the wild-type control, multivariate analysis showed that the distribution of metabolites in the transgenics was different from that of the null segregant. However, the profile obtained from the wild-type material was diverse in comparison with both the transgenics and the null segregant, suggesting that the primary cause of the observed differences was that the transformation process selects for a subset of individuals able to undergo the transformation and selection procedures, and that their descendants have a restricted variation in metabolite profile, rather than that the presence of the transgene itself generates these differences.

Entities:  

Year:  2004        PMID: 17166140     DOI: 10.1046/j.1467-7652.2003.00045.x

Source DB:  PubMed          Journal:  Plant Biotechnol J        ISSN: 1467-7644            Impact factor:   9.803


  8 in total

1.  A rapid, simple method for the genetic discrimination of intact Arabidopsis thaliana mutant seeds using metabolic profiling by direct analysis in real-time mass spectrometry.

Authors:  Suk Weon Kim; Hye Jin Kim; Jong Hyun Kim; Yong Kook Kwon; Myung Suk Ahn; Young Pyo Jang; Jang R Liu
Journal:  Plant Methods       Date:  2011-06-10       Impact factor: 4.993

Review 2.  NMR analysis of plant nitrogen metabolism.

Authors:  F Mesnard; R G Ratcliffe
Journal:  Photosynth Res       Date:  2005       Impact factor: 3.573

Review 3.  Unintended consequences of plant transformation: a molecular insight.

Authors:  Marcin Filipecki; Stefan Malepszy
Journal:  J Appl Genet       Date:  2006       Impact factor: 3.240

4.  NMR-metabolic methodology in the study of GM foods.

Authors:  Anatoly P Sobolev; Donatella Capitani; Donato Giannino; Chiara Nicolodi; Giulio Testone; Flavio Santoro; Giovanna Frugis; Maria A Iannelli; Autar K Mattoo; Elvino Brosio; Raffaella Gianferri; Irene D'Amico; Luisa Mannina
Journal:  Nutrients       Date:  2010-01-13       Impact factor: 5.717

Review 5.  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

6.  NMR Metabolomics Defining Genetic Variation in Pea Seed Metabolites.

Authors:  Noel Ellis; Chie Hattori; Jitender Cheema; James Donarski; Adrian Charlton; Michael Dickinson; Giampaolo Venditti; Péter Kaló; Zoltán Szabó; György B Kiss; Claire Domoney
Journal:  Front Plant Sci       Date:  2018-07-17       Impact factor: 5.753

7.  Overexpression of ORCA3 and G10H in Catharanthus roseus plants regulated alkaloid biosynthesis and metabolism revealed by NMR-metabolomics.

Authors:  Qifang Pan; Quan Wang; Fang Yuan; Shihai Xing; Jingya Zhao; Young Hae Choi; Robert Verpoorte; Yuesheng Tian; Guofeng Wang; Kexuan Tang
Journal:  PLoS One       Date:  2012-08-20       Impact factor: 3.240

8.  Similar metabolic changes induced by HIPVs exposure as herbivore in Ammopiptanthus mongolicus.

Authors:  Jingru Sun; Xiao Zhang; Chuanjian Cao; Xindi Mei; Ningning Wang; Suli Yan; Shixiang Zong; Youqing Luo; Haijun Yang; Yingbai Shen
Journal:  PLoS One       Date:  2014-04-18       Impact factor: 3.240

  8 in total

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