Literature DB >> 15264892

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

Marta Hernández1, Marie-Noëlle Duplan, Georges Berthier, Marc Vaïtilingom, Wolfgang Hauser, Regina Freyer, Maria Pla, Yves Bertheau.   

Abstract

Four real-time polymerase chain reaction systems aiming at the specific detection and quantification of maize DNA are described. They have been developed in four independent laboratories targeting different maize sequences, i.e., alcohol dehydrogenase (Adh1), high mobility group protein (hmga), invertase A (ivr1), and zein, respectively. They were all fully specific, showing a very similar quantification accuracy along a number of distantly related maize cultivars and being either single or low copy number genes. They were highly sensitive and exhibited limits of quantification below 100 maize genomic copies. In consequence, they are considered suitable for use as maize specific endogenous reference genes in DNA analyses, including GMO quantitative tests. Copyright 2004 American Chemical Society

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Year:  2004        PMID: 15264892     DOI: 10.1021/jf049789d

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  14 in total

1.  A microarray-based detection system for genetically modified (GM) food ingredients.

Authors:  Serge Leimanis; Marta Hernández; Sophie Fernández; Francine Boyer; Malcolm Burns; Shirin Bruderer; Thomas Glouden; Neil Harris; Othmar Kaeppeli; Patrick Philipp; Maria Pla; Pere Puigdomènech; Marc Vaitilingom; Yves Bertheau; José Remacle
Journal:  Plant Mol Biol       Date:  2006-05       Impact factor: 4.076

2.  Influence of the concentrate pellet process on the fate of feed plant DNA in the rabbit.

Authors:  R Tudisco; M I Cutrignelli; F Bovera; S Calabrò; G Piccolo; S D'Urso; F Infascelli
Journal:  Vet Res Commun       Date:  2007-08       Impact factor: 2.459

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

Review 4.  Relative quantification in seed GMO analysis: state of art and bottlenecks.

Authors:  Maher Chaouachi; Aurélie Bérard; Khaled Saïd
Journal:  Transgenic Res       Date:  2013-02-12       Impact factor: 2.788

5.  A specific endogenous reference for genetically modified common bean (Phaseolus vulgaris L.) DNA quantification by real-time PCR targeting lectin gene.

Authors:  Gustavo L Venturelli; Fábio C A Brod; Gabriela B Rossi; Naíra F Zimmermann; Jaison P Oliveira; Josias C Faria; Ana C M Arisi
Journal:  Mol Biotechnol       Date:  2014-11       Impact factor: 2.695

6.  Comparison of droplet digital PCR with quantitative real-time PCR for determination of zygosity in transgenic maize.

Authors:  Xiaoli Xu; Cheng Peng; Xiaofu Wang; Xiaoyun Chen; Qiang Wang; Junfeng Xu
Journal:  Transgenic Res       Date:  2016-09-08       Impact factor: 2.788

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

Authors:  Maria Pla; José-Luis La Paz; Gisela Peñas; Nora García; Montserrat Palaudelmàs; Teresa Esteve; Joaquima Messeguer; Enric Melé
Journal:  Transgenic Res       Date:  2006-04       Impact factor: 2.788

8.  Transposon insertion in a cinnamyl alcohol dehydrogenase gene is responsible for a brown midrib1 mutation in maize.

Authors:  Wei Chen; Nathan VanOpdorp; Dennis Fitzl; Jagdish Tewari; Peter Friedemann; Tom Greene; Steve Thompson; Siva Kumpatla; Peizhong Zheng
Journal:  Plant Mol Biol       Date:  2012-07-31       Impact factor: 4.076

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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