Literature DB >> 16604462

Assessment of real-time PCR based methods for quantification of pollen-mediated gene flow from GM to conventional maize in a field study.

Maria Pla1, José-Luis La Paz, Gisela Peñas, Nora García, Montserrat Palaudelmàs, Teresa Esteve, Joaquima Messeguer, Enric Melé.   

Abstract

Maize is one of the main crops worldwide and an increasing number of genetically modified (GM) maize varieties are cultivated and commercialized in many countries in parallel to conventional crops. Given the labeling rules established e.g. in the European Union and the necessary coexistence between GM and non-GM crops, it is important to determine the extent of pollen dissemination from transgenic maize to other cultivars under field conditions. The most widely used methods for quantitative detection of GMO are based on real-time PCR, which implies the results are expressed in genome percentages (in contrast to seed or grain percentages). Our objective was to assess the accuracy of real-time PCR based assays to accurately quantify the contents of transgenic grains in non-GM fields in comparison with the real cross-fertilization rate as determined by phenotypical analysis. We performed this study in a region where both GM and conventional maize are normally cultivated and used the predominant transgenic maize Mon810 in combination with a conventional maize variety which displays the characteristic of white grains (therefore allowing cross-pollination quantification as percentage of yellow grains). Our results indicated an excellent correlation between real-time PCR results and number of cross-fertilized grains at Mon810 levels of 0.1-10%. In contrast, Mon810 percentage estimated by weight of grains produced less accurate results. Finally, we present and discuss the pattern of pollen-mediated gene flow from GM to conventional maize in an example case under field conditions.

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Year:  2006        PMID: 16604462     DOI: 10.1007/s11248-005-4945-x

Source DB:  PubMed          Journal:  Transgenic Res        ISSN: 0962-8819            Impact factor:   2.788


  11 in total

Review 1.  PCR technology for screening and quantification of genetically modified organisms (GMOs).

Authors:  Arne Holst-Jensen; Sissel B Rønning; Astrid Løvseth; Knut G Berdal
Journal:  Anal Bioanal Chem       Date:  2003-02-15       Impact factor: 4.142

2.  Cloned plasmid DNA fragments as calibrators for controlling GMOs: different real-time duplex quantitative PCR methods.

Authors:  Isabel Taverniers; Erik Van Bockstaele; Marc De Loose
Journal:  Anal Bioanal Chem       Date:  2003-12-20       Impact factor: 4.142

3.  Detection of genetically modified maize MON810 and NK603 by multiplex and real-time polymerase chain reaction methods.

Authors:  Hsin-Ying Huang; Tzu-Ming Pan
Journal:  J Agric Food Chem       Date:  2004-06-02       Impact factor: 5.279

4.  Event-specific plasmid standards and real-time PCR methods for transgenic Bt11, Bt176, and GA21 maize and transgenic GT73 canola.

Authors:  Isabel Taverniers; Pieter Windels; Marc Vaïtilingom; Anne Milcamps; Erik Van Bockstaele; Guy Van den Eede; Marc De Loose
Journal:  J Agric Food Chem       Date:  2005-04-20       Impact factor: 5.279

5.  Specificity of Bacillus thuringiensis delta-endotoxins. Importance of specific receptors on the brush border membrane of the mid-gut of target insects.

Authors:  J Van Rie; S Jansens; H Höfte; D Degheele; H Van Mellaert
Journal:  Eur J Biochem       Date:  1989-12-08

6.  A specific real-time quantitative PCR detection system for event MON810 in maize YieldGard based on the 3'-transgene integration sequence.

Authors:  Marta Hernández; Maria Pla; Teresa Esteve; Salomé Prat; Pere Puigdomènech; Alejandro Ferrando
Journal:  Transgenic Res       Date:  2003-04       Impact factor: 2.788

7.  Development and comparison of four real-time polymerase chain reaction systems for specific detection and quantification of Zea mays L.

Authors:  Marta Hernández; Marie-Noëlle Duplan; Georges Berthier; Marc Vaïtilingom; Wolfgang Hauser; Regina Freyer; Maria Pla; Yves Bertheau
Journal:  J Agric Food Chem       Date:  2004-07-28       Impact factor: 5.279

8.  DNA content in embryo and endosperm of maize kernel (Zea mays L.): impact on GMO quantification.

Authors:  Youssef Trifa; David Zhang
Journal:  J Agric Food Chem       Date:  2004-03-10       Impact factor: 5.279

9.  Detection of specific polymerase chain reaction product by utilizing the 5'----3' exonuclease activity of Thermus aquaticus DNA polymerase.

Authors:  P M Holland; R D Abramson; R Watson; D H Gelfand
Journal:  Proc Natl Acad Sci U S A       Date:  1991-08-15       Impact factor: 11.205

10.  Maize ROP2 GTPase provides a competitive advantage to the male gametophyte.

Authors:  K M Arthur; Z Vejlupkova; R B Meeley; J E Fowler
Journal:  Genetics       Date:  2003-12       Impact factor: 4.562

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  19 in total

1.  Distances needed to limit cross-fertilization between GM and conventional maize in Europe.

Authors:  Laura Riesgo; Francisco J Areal; Olivier Sanvido; Emilio Rodríguez-Cerezo
Journal:  Nat Biotechnol       Date:  2010-08       Impact factor: 54.908

2.  A study of crop-to-crop gene flow using farm scale sites of fodder maize (Zea mays L.) in the UK.

Authors:  Rebecca Weekes; Theodore Allnutt; Caroline Boffey; Sarah Morgan; Mark Bilton; Roger Daniels; Christine Henry
Journal:  Transgenic Res       Date:  2006-11-11       Impact factor: 2.788

3.  Effect of volunteers on maize gene flow.

Authors:  Montserrat Palaudelmàs; Gisela Peñas; Enric Melé; Joan Serra; Jordi Salvia; Maria Pla; Anna Nadal; Joaquima Messeguer
Journal:  Transgenic Res       Date:  2009-02-19       Impact factor: 2.788

4.  Fuzzy-logic based strategy for validation of multiplex methods: example with qualitative GMO assays.

Authors:  Gianni Bellocchi; Vincent Bertholet; Sandrine Hamels; W Moens; José Remacle; Guy Van den Eede
Journal:  Transgenic Res       Date:  2009-06-16       Impact factor: 2.788

5.  Assessment of the influence of field size on maize gene flow using SSR analysis.

Authors:  M Palaudelmàs; E Melé; A Monfort; J Serra; J Salvia; J Messeguer
Journal:  Transgenic Res       Date:  2011-09-04       Impact factor: 2.788

6.  Pollen-mediated gene flow in flax (Linum usitatissimum L.): can genetically engineered and organic flax coexist?

Authors:  A J Jhala; H Bhatt; K Topinka; L M Hall
Journal:  Heredity (Edinb)       Date:  2010-06-16       Impact factor: 3.821

7.  Establishment and optimization of a regionally applicable maize gene-flow model.

Authors:  Ning Hu; Jichao Hu; Xiaodong Jiang; Zongzhi Lu; Yufa Peng; Wanlong Chen; Kemin Yao; Ming Zhang; Shirong Jia; Xinwu Pei; Weihong Luo
Journal:  Transgenic Res       Date:  2014-06-25       Impact factor: 2.788

8.  Definition and feasibility of isolation distances for transgenic maize cultivation.

Authors:  Olivier Sanvido; Franco Widmer; Michael Winzeler; Bernhard Streit; Erich Szerencsits; Franz Bigler
Journal:  Transgenic Res       Date:  2007-06-12       Impact factor: 2.788

9.  Impact of genetic structures on haploid genome-based quantification of genetically modified DNA: theoretical considerations, experimental data in MON 810 maize kernels (Zea mays L.) and some practical applications.

Authors:  David Zhang; Aurélie Corlet; Stephane Fouilloux
Journal:  Transgenic Res       Date:  2007-07-19       Impact factor: 2.788

10.  A flexible quantitative methodology for the analysis of gene-flow between conventionally bred maize populations using microsatellite markers.

Authors:  P R H Robson; R Kelly; E F Jensen; G D Giddings; M Leitch; C Davey; A P Gay; G Jenkins; H Thomas; I S Donnison
Journal:  Theor Appl Genet       Date:  2010-11-26       Impact factor: 5.699

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