Literature DB >> 16906442

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

Louise V T Shepherd1, James W McNicol, Ruth Razzo, Mark A Taylor, Howard V Davies.   

Abstract

Targeted compositional analysis was carried out on transgenic potato tubers of either cultivar (cv.) Record or cv. Desirée to assess the potential for unintended effects caused by the genetic modification process. The range of transgenic lines analysed included those modified in primary carbohydrate metabolism, polyamine biosynthesis and glycoprotein processing. Controls included wildtype tubers, tubers produced from plants regenerated through tissue culture (including a callus phase) and tubers derived from transformation with the 'empty vector' i.e. no specific target gene included (with the exception of the kanamycin resistance gene as a selectable marker). Metabolite analysis included soluble carbohydrates, glycoalkaloids, vitamin C, total nitrogen and fatty acids. Trypsin inhibitor activity was also assayed. These cover the major compounds recommended by the OECD in their Consensus Document on Compositional Considerations for New Varieties of Potatoes: Key Food and Feed Nutrients, Anti-Nutrients and Toxicants (2002). Data was statistically analysed using analysis of variance (ANOVA) for individual compounds and, where applicable, principal component analysis (PCA). In general, targeted compositional analysis revealed no consistent differences between GM lines and respective controls. No construct specifically induced unintended effects. Statistically significant differences between wildtype controls and specific GM lines did occur but appeared to be random and not associated with any specific construct. Indeed such significant differences were also found between wildtypes and both tissue culture derived tubers and tubers derived from transformation with the empty vector. This raises the possibility that somaclonal variation (known to occur significantly in potato, depending on genotype) may be responsible for an unknown proportion of any differences observed between specific GM lines and the wildtype. The most obvious differences seen in GC-MS profiles were between the two potato varieties used in the study.

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Year:  2006        PMID: 16906442     DOI: 10.1007/s11248-006-0012-5

Source DB:  PubMed          Journal:  Transgenic Res        ISSN: 0962-8819            Impact factor:   3.145


  28 in total

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Authors:  P R Sanders; J A Winter; A R Barnason; S G Rogers; R T Fraley
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Authors:  M J Oruna-Concha; S C Duckham; J M Ames
Journal:  J Agric Food Chem       Date:  2001-05       Impact factor: 5.279

3.  A potato alpha-glucosidase gene encodes a glycoprotein-processing alpha-glucosidase II-like activity. Demonstration of enzyme activity and effects of down-regulation in transgenic plants.

Authors:  M A Taylor; H A Ross; D McRae; D Stewart; I Roberts; G Duncan; F Wright; S Millam; H V Davies
Journal:  Plant J       Date:  2000-11       Impact factor: 6.417

4.  Modulation of fructokinase activity of potato (Solanum tuberosum) results in substantial shifts in tuber metabolism.

Authors:  Howard V Davies; Louise V T Shepherd; Michael M Burrell; Fernando Carrari; Ewa Urbanczyk-Wochniak; Andrea Leisse; Robert D Hancock; Mark Taylor; Roberto Viola; Heather Ross; Diane McRae; Lothar Willmitzer; Alisdair R Fernie
Journal:  Plant Cell Physiol       Date:  2005-05-12       Impact factor: 4.927

5.  Why asparagine needs carbohydrates to generate acrylamide.

Authors:  Varoujan A Yaylayan; Andrzej Wnorowski; Carolina Perez Locas
Journal:  J Agric Food Chem       Date:  2003-03-12       Impact factor: 5.279

6.  Purification and Properties of Fructokinase from Developing Tubers of Potato (Solanum tuberosum L.).

Authors:  A Gardner; H V Davies; L R Burch
Journal:  Plant Physiol       Date:  1992-09       Impact factor: 8.340

7.  Glycoalkaloid and calystegine contents of eight potato cultivars.

Authors:  Mendel Friedman; James N Roitman; Nobuyuki Kozukue
Journal:  J Agric Food Chem       Date:  2003-05-07       Impact factor: 5.279

8.  Sequence of the structural gene for granule-bound starch synthase of potato (Solanum tuberosum L.) and evidence for a single point deletion in the amf allele.

Authors:  F R van der Leij; R G Visser; A S Ponstein; E Jacobsen; W J Feenstra
Journal:  Mol Gen Genet       Date:  1991-08

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Authors:  D Becker; E Kemper; J Schell; R Masterson
Journal:  Plant Mol Biol       Date:  1992-12       Impact factor: 4.076

10.  Potential of acrylamide formation, sugars, and free asparagine in potatoes: a comparison of cultivars and farming systems.

Authors:  Thomas M Amrein; Sandra Bachmann; Anja Noti; Maurus Biedermann; Melissa Ferraz Barbosa; Sandra Biedermann-Brem; Koni Grob; Andreas Keiser; Pietro Realini; Felix Escher; Renato Amadó
Journal:  J Agric Food Chem       Date:  2003-08-27       Impact factor: 5.279

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  17 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

2.  Natural variation explains most transcriptomic changes among maize plants of MON810 and comparable non-GM varieties subjected to two N-fertilization farming practices.

Authors:  Anna Coll; Anna Nadal; Rosa Collado; Gemma Capellades; Mikael Kubista; Joaquima Messeguer; Maria Pla
Journal:  Plant Mol Biol       Date:  2010-03-27       Impact factor: 4.076

3.  Metabolic changes in transgenic maize mature seeds over-expressing the Aspergillus niger phyA2.

Authors:  Jun Rao; Litao Yang; Jinchao Guo; Sheng Quan; Guihua Chen; Xiangxiang Zhao; Dabing Zhang; Jianxin Shi
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4.  Lack of repeatable differential expression patterns between MON810 and comparable commercial varieties of maize.

Authors:  Anna Coll; Anna Nadal; Montserrat Palaudelmàs; Joaquima Messeguer; Enric Melé; Pere Puigdomènech; Maria Pla
Journal:  Plant Mol Biol       Date:  2008-07-06       Impact factor: 4.076

5.  The substantive equivalence of transgenic (Bt and Chi) and non-transgenic cotton based on metabolite profiles.

Authors:  Bentol Hoda Modirroosta; Masoud Tohidfar; Jalal Saba; Foad Moradi
Journal:  Funct Integr Genomics       Date:  2013-12-28       Impact factor: 3.410

Review 6.  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

7.  Comparative compositional analysis of transgenic potato resistant to potato tuber moth (PTM) and its non-transformed counterpart.

Authors:  Hassan Rahnama; Amir Bahram Moradi; Seyed Hamid Mirrokni; Foad Moradi; Mohammad Reza Shams; Mohammad Hossein Fotokian
Journal:  Transgenic Res       Date:  2018-05-04       Impact factor: 2.788

8.  Comparison of transgenic Gerbera hybrida lines and traditional varieties shows no differences in cytotoxicity or metabolic fingerprints.

Authors:  Miia Marika Ainasoja; Leena Lyydia Pohjala; Päivi Sirpa Marjaana Tammela; Panu Juhani Somervuo; Pia Maarit Vuorela; Teemu Heikki Teeri
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9.  Gene expression profiles of MON810 and comparable non-GM maize varieties cultured in the field are more similar than are those of conventional lines.

Authors:  Anna Coll; Anna Nadal; Rosa Collado; Gemma Capellades; Joaquima Messeguer; Enric Melé; Montserrat Palaudelmàs; Maria Pla
Journal:  Transgenic Res       Date:  2009-04-26       Impact factor: 2.788

10.  Temporally resolved GC-MS-based metabolic profiling of herbicide treated plants treated reveals that changes in polar primary metabolites alone can distinguish herbicides of differing mode of action.

Authors:  Sandra Trenkamp; Peter Eckes; Marco Busch; Alisdair R Fernie
Journal:  Metabolomics       Date:  2008-12-13       Impact factor: 4.290

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