Literature DB >> 13129280

Reliable detection and identification of genetically modified maize, soybean, and canola by multiplex PCR analysis.

Delano James1, Anna-Mary Schmidt, Erika Wall, Margaret Green, Saad Masri.   

Abstract

Multiplex PCR procedures were developed for simultaneously detecting multiple target sequences in genetically modified (GM) soybean (Roundup Ready), maize (event 176, Bt11, Mon810, T14/25), and canola (GT73, HCN92/28, MS8/RF3, Oxy 235). Internal control targets (invertase gene in corn, lectin and beta-actin genes in soybean, and cruciferin gene in canola) were included as appropriate to assess the efficiency of all reactions, thereby eliminating any false negatives. Primer combinations that allowed the identification of specific lines were used. In one system of identification, simultaneous amplification profiling (SAP), rather than target specific detection, was used for the identification of four GM maize lines. SAP is simple and has the potential to identify both approved and nonapproved GM lines. The template concentration was identified as a critical factor affecting efficient multiplex PCRs. In canola, 75 ng of DNA template was more effective than 50 ng of DNA for the simultaneous amplification of all targets in a reaction volume of 25 microL. Reliable identification of GM canola was achieved at a DNA concentration of 3 ng/microL, and at 0.1% for GM soybean, indicating high levels of sensitivity. Nonspecific amplification was utilized in this study as a tool for specific and reliable identification of one line of GM maize. The primer cry1A 4-3' (antisense primer) recognizes two sites on the DNA template extracted from GM transgenic maize containing event 176 (European corn borer resistant), resulting in the amplification of products of 152 bp (expected) and 485 bp (unexpected). The latter fragment was sequenced and confirmed to be Cry1A specific. The systems described herein represent simple, accurate, and sensitive GMO detection methods in which only one reaction is necessary to detect multiple GM target sequences that can be reliably used for the identification of specific lines of GMOs.

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Year:  2003        PMID: 13129280     DOI: 10.1021/jf0341159

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


  19 in total

1.  Qualitative and quantitative PCR methods for event-specific detection of genetically modified cotton Mon1445 and Mon531.

Authors:  Litao Yang; Aihu Pan; Kewei Zhang; Changsong Yin; Bingjun Qian; Jianxiu Chen; Cheng Huang; Dabing Zhang
Journal:  Transgenic Res       Date:  2005-12       Impact factor: 2.788

2.  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 3.  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

4.  Validation of a cotton-specific gene, Sad1, used as an endogenous reference gene in qualitative and real-time quantitative PCR detection of transgenic cottons.

Authors:  Litao Yang; Jianxiu Chen; Cheng Huang; Yuhui Liu; Shirong Jia; Liangwen Pan; Dabing Zhang
Journal:  Plant Cell Rep       Date:  2005-02-22       Impact factor: 4.570

5.  Construction of transgenic detection system of Brassica napus L. based on single nucleotide polymorphism chip.

Authors:  Enqiang Zhou; Nuan Song; Qing Xiao; Zunaira Farooq; Zhibo Jia; Jing Wen; Cheng Dai; Chaozhi Ma; Jinxing Tu; Jinxiong Shen; Tingdong Fu; Bin Yi
Journal:  3 Biotech       Date:  2021-12-08       Impact factor: 2.406

6.  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

7.  PCR-free quantitative detection of genetically modified organism from raw materials. An electrochemiluminescence-based bio bar code method.

Authors:  Debin Zhu; Yabing Tang; Da Xing; Wei R Chen
Journal:  Anal Chem       Date:  2008-04-03       Impact factor: 6.986

8.  An optimized procedure for detection of genetically modified DNA in refined vegetable oils.

Authors:  Yuzhu Duan; Yan Pi; Changwen Li; Keji Jiang
Journal:  Food Sci Biotechnol       Date:  2021-01-15       Impact factor: 2.391

9.  Development and application of DNA markers to detect adulteration with Scopolia japonica in the medicinal herb Atractylodes lancea.

Authors:  Su Hong Oh; Yea Dam Kim; Cheol Seong Jang
Journal:  Food Sci Biotechnol       Date:  2021-11-26       Impact factor: 2.391

10.  PCR-free detection of genetically modified organisms using magnetic capture technology and fluorescence cross-correlation spectroscopy.

Authors:  Xiaoming Zhou; Da Xing; Yonghong Tang; Wei R Chen
Journal:  PLoS One       Date:  2009-11-26       Impact factor: 3.240

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