Literature DB >> 15759736

Polymerase chain reaction technology as analytical tool in agricultural biotechnology.

Markus Lipp1, Raymond Shillito, Randal Giroux, Frank Spiegelhalter, Stacy Charlton, David Pinero, Ping Song.   

Abstract

The agricultural biotechnology industry applies polymerase chain reaction (PCR) technology at numerous points in product development. Commodity and food companies as well as third-party diagnostic testing companies also rely on PCR technology for a number of purposes. The primary use of the technology is to verify the presence or absence of genetically modified (GM) material in a product or to quantify the amount of GM material present in a product. This article describes the fundamental elements of PCR analysis and its application to the testing of grains. The document highlights the many areas to which attention must be paid in order to produce reliable test results. These include sample preparation, method validation, choice of appropriate reference materials, and biological and instrumental sources of error. The article also discusses issues related to the analysis of different matrixes and the effect they may have on the accuracy of the PCR analytical results.

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Year:  2005        PMID: 15759736

Source DB:  PubMed          Journal:  J AOAC Int        ISSN: 1060-3271            Impact factor:   1.913


  10 in total

1.  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

2.  Absence of detectable transgenes in local landraces of maize in Oaxaca, Mexico (2003-2004).

Authors:  S Ortiz-García; E Ezcurra; B Schoel; F Acevedo; J Soberón; A A Snow
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-10       Impact factor: 11.205

3.  Testing the interaction between analytical modules: an example with Roundup Ready soybean line GTS 40-3-2.

Authors:  Gianni Bellocchi; Marzia De Giacomo; Nicoletta Foti; Marco Mazzara; Eleonora Palmaccio; Cristian Savini; Chiara Di Domenicantonio; Roberta Onori; Guy Van den Eede
Journal:  BMC Biotechnol       Date:  2010-08-05       Impact factor: 2.563

4.  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

5.  Routes to improving the reliability of low level DNA analysis using real-time PCR.

Authors:  Stephen L R Ellison; Claire A English; Malcolm J Burns; Jacquie T Keer
Journal:  BMC Biotechnol       Date:  2006-07-06       Impact factor: 2.563

6.  Critical points of DNA quantification by real-time PCR--effects of DNA extraction method and sample matrix on quantification of genetically modified organisms.

Authors:  Katarina Cankar; Dejan Stebih; Tanja Dreo; Jana Zel; Kristina Gruden
Journal:  BMC Biotechnol       Date:  2006-08-14       Impact factor: 2.563

7.  The use of 35S and Tnos expression elements in the measurement of genetically engineered plant materials.

Authors:  Marcia J Holden; Marci Levine; Tandace Scholdberg; Ross J Haynes; G Ronald Jenkins
Journal:  Anal Bioanal Chem       Date:  2009-10-25       Impact factor: 4.142

8.  NAIMA: target amplification strategy allowing quantitative on-chip detection of GMOs.

Authors:  Dany Morisset; David Dobnik; Sandrine Hamels; Jana Zel; Kristina Gruden
Journal:  Nucleic Acids Res       Date:  2008-08-18       Impact factor: 16.971

9.  Loop-mediated isothermal amplification (LAMP) method for detection of genetically modified maize T25.

Authors:  Junyi Xu; Qiuyue Zheng; Ling Yu; Ran Liu; Xin Zhao; Gang Wang; Qinghua Wang; Jijuan Cao
Journal:  Food Sci Nutr       Date:  2013-10-16       Impact factor: 2.863

10.  Effects and effectiveness of two RNAi constructs for resistance to Pepper golden mosaic virus in Nicotiana benthamiana plants.

Authors:  Diana Medina-Hernández; Rafael Francisco Rivera-Bustamante; Francisco Tenllado; Ramón Jaime Holguín-Peña
Journal:  Viruses       Date:  2013-11-28       Impact factor: 5.048

  10 in total

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