Literature DB >> 12733008

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

Arne Holst-Jensen1, Sissel B Rønning, Astrid Løvseth, Knut G Berdal.   

Abstract

Although PCR technology has obvious limitations, the potentially high degree of sensitivity and specificity explains why it has been the first choice of most analytical laboratories interested in detection of genetically modified (GM) organisms (GMOs) and derived materials. Because the products that laboratories receive for analysis are often processed and refined, the quality and quantity of target analyte (e.g. protein or DNA) frequently challenges the sensitivity of any detection method. Among the currently available methods, PCR methods are generally accepted as the most sensitive and reliable methods for detection of GM-derived material in routine applications. The choice of target sequence motif is the single most important factor controlling the specificity of the PCR method. The target sequence is normally a part of the modified gene construct, for example a promoter, a terminator, a gene, or a junction between two of these elements. However, the elements may originate from wildtype organisms, they may be present in more than one GMO, and their copy number may also vary from one GMO to another. They may even be combined in a similar way in more than one GMO. Thus, the choice of method should fit the purpose. Recent developments include event-specific methods, particularly useful for identification and quantification of GM content. Thresholds for labelling are now in place in many countries including those in the European Union. The success of the labelling schemes is dependent upon the efficiency with which GM-derived material can be detected. We will present an overview of currently available PCR methods for screening and quantification of GM-derived DNA, and discuss their applicability and limitations. In addition, we will discuss some of the major challenges related to determination of the limits of detection (LOD) and quantification (LOQ), and to validation of methods.

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Year:  2003        PMID: 12733008     DOI: 10.1007/s00216-003-1767-7

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  35 in total

1.  Event-specific qualitative and quantitative PCR detection of roundup ready event GT73 based on the 3'-integration junction.

Authors:  Rong Yang; Wentao Xu; Yunbo Luo; Feng Guo; Yun Lu; Kunlun Huang
Journal:  Plant Cell Rep       Date:  2007-06-07       Impact factor: 4.570

2.  Sequence stability of the T-DNA - plant junctions in tissue culture in Arabidopsis transgenic lines.

Authors:  Nina Papazova; Pieter Windels; Ann Depicker; Isabel Taverniers; Isabel Roldan-Ruiz; Anne Milcamps; Erik Van Bockstaele; Guy Van Den Eede; Marc De Loose
Journal:  Plant Cell Rep       Date:  2006-06-30       Impact factor: 4.570

3.  Rapid screening of roundup ready soybean in food samples by a hand-held PCR device.

Authors:  Hsiang-Yun Tung; Sue-Hong Wang; Yu-Cheng Chiang; Ming-Shiun Tsai
Journal:  Food Sci Biotechnol       Date:  2016-08-31       Impact factor: 2.391

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.  MRPrimerW2: an enhanced tool for rapid design of valid high-quality primers with multiple search modes for qPCR experiments.

Authors:  Hajin Jeon; Jeongmin Bae; Sang-Hyun Hwang; Kyu-Young Whang; Hyun-Seob Lee; Hyerin Kim; Min-Soo Kim
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

7.  Development of a general method for detection and quantification of the P35S promoter based on assessment of existing methods.

Authors:  Yuhua Wu; Yulei Wang; Jun Li; Wei Li; Li Zhang; Yunjing Li; Xiaofei Li; Jun Li; Li Zhu; Gang Wu
Journal:  Sci Rep       Date:  2014-12-08       Impact factor: 4.379

8.  Detection of genetically modified maize in Jordan.

Authors:  Abeer Aburumman; Hussein Migdadi; Muhanad Akash; Ayed Al-Abdallat; Yaser Hassan Dewir; Muhammad Farooq
Journal:  GM Crops Food       Date:  2020-04-07       Impact factor: 3.074

9.  Evaluation of droplet digital PCR for characterizing plasmid reference material used for quantifying ammonia oxidizers and denitrifiers.

Authors:  Lianhua Dong; Ying Meng; Jing Wang; Yingying Liu
Journal:  Anal Bioanal Chem       Date:  2014-02-04       Impact factor: 4.142

10.  Characterization of unknown genetic modifications using high throughput sequencing and computational subtraction.

Authors:  Torstein Tengs; Haibo Zhang; Arne Holst-Jensen; Jon Bohlin; Melinka A Butenko; Anja Bråthen Kristoffersen; Hilde-Gunn Opsahl Sorteberg; Knut G Berdal
Journal:  BMC Biotechnol       Date:  2009-10-08       Impact factor: 2.563

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