Literature DB >> 18393457

Proteomics as a complementary tool for identifying unintended side effects occurring in transgenic maize seeds as a result of genetic modifications.

Lello Zolla1, Sara Rinalducci, Paolo Antonioli, Pier Giorgio Righetti.   

Abstract

To improve the probability of detecting unintended side effects during maize gene manipulations by bombardment, proteomics was used as an analytical tool complementary to the existing safety assessment techniques. Since seed proteome is highly dynamic, depending on the species variability and environmental influence, we analyzed the proteomic profiles of one transgenic maize variety (event MON 810) in two subsequent generations (T05 and T06) with their respective isogenic controls (WT05 and WT06). Thus, by comparing the proteomic profiles of WT05 with WT06 we could determine the environmental effects, while the comparison between WT06 and T06 seeds from plants grown under controlled conditions enabled us to investigate the effects of DNA manipulation. Finally, by comparison of T05 with T06 seed proteomes, it was possible to get some indications about similarities and differences between the adaptations of transgenic and isogenic plants to the same strictly controlled growth environment. Approximately 100 total proteins resulted differentially modulated in the expression level as a consequence of the environmental influence (WT06 vs WT05), whereas 43 proteins resulted up- or down-regulated in transgenic seeds with respect to their controls (T06 vs WT06), which could be specifically related to the insertion of a single gene into a maize genome by particle bombardment. Transgenic seeds responded differentially to the same environment as compared to their respective isogenic controls, as a result of the genome rearrangement derived from gene insertion. To conclude, an exhaustive differential proteomic analysis allows to determine similarities and differences between traditional food and new products (substantial equivalence), and a case-by-case assessment of the new food should be carried out in order to have a wide knowledge of its features.

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Year:  2008        PMID: 18393457     DOI: 10.1021/pr0705082

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  29 in total

1.  Proteomic analysis of MON810 and comparable non-GM maize varieties grown in agricultural fields.

Authors:  Anna Coll; Anna Nadal; Michel Rossignol; Pere Puigdomènech; Maria Pla
Journal:  Transgenic Res       Date:  2010-10-23       Impact factor: 2.788

2.  Overexpression of rice CBS domain containing protein improves salinity, oxidative, and heavy metal tolerance in transgenic tobacco.

Authors:  Anil K Singh; Ritesh Kumar; Ashwani Pareek; Sudhir K Sopory; Sneh L Singla-Pareek
Journal:  Mol Biotechnol       Date:  2012-11       Impact factor: 2.695

Review 3.  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

4.  Comparative proteomics of Bt-transgenic and non-transgenic cotton leaves.

Authors:  Limin Wang; Xuchu Wang; Xiang Jin; Ruizong Jia; Qixing Huang; Yanhua Tan; Anping Guo
Journal:  Proteome Sci       Date:  2015-05-02       Impact factor: 2.480

5.  Demographic responses of Daphnia magna fed transgenic Bt-maize.

Authors:  Thomas Bøhn; Terje Traavik; Raul Primicerio
Journal:  Ecotoxicology       Date:  2009-10-27       Impact factor: 2.823

6.  Proteomic evaluation of genetically modified crops: current status and challenges.

Authors:  Chun Yan Gong; Tai Wang
Journal:  Front Plant Sci       Date:  2013-03-07       Impact factor: 5.753

7.  Chronic Responses of Daphnia magna Under Dietary Exposure to Leaves of a Transgenic (Event MON810) Bt-Maize Hybrid and its Conventional Near-Isoline.

Authors:  Daniel Ferreira Holderbaum; Marek Cuhra; Fern Wickson; Afonso Inácio Orth; Rubens Onofre Nodari; Thomas Bøhn
Journal:  J Toxicol Environ Health A       Date:  2015

8.  Randomly detected genetically modified (GM) maize (Zea mays L.) near a transport route revealed a fragile 45S rDNA phenotype.

Authors:  Nomar Espinosa Waminal; Ki Hyun Ryu; Sun-Hee Choi; Hyun Hee Kim
Journal:  PLoS One       Date:  2013-09-09       Impact factor: 3.240

9.  Comparative proteomic analysis of genetically modified maize grown under different agroecosystems conditions in Brazil.

Authors:  Sarah Zanon Agapito-Tenfen; Miguel Pedro Guerra; Odd-Gunnar Wikmark; Rubens Onofre Nodari
Journal:  Proteome Sci       Date:  2013-12-04       Impact factor: 2.480

10.  Ectopic expression of amaranth seed storage albumin modulates photoassimilate transport and nutrient acquisition in sweetpotato.

Authors:  Shubhendu Shekhar; Lalit Agrawal; Divya Mishra; Alak Kumar Buragohain; Mullath Unnikrishnan; Chokkappan Mohan; Subhra Chakraborty; Niranjan Chakraborty
Journal:  Sci Rep       Date:  2016-05-05       Impact factor: 4.379

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