Literature DB >> 22729745

Detection and identification of genetically modified EE-1 brinjal (Solanum melongena) by single, multiplex and SYBR® real-time PCR.

Rajashekhar V Ballari1, Asha Martin, Lalitha R Gowda.   

Abstract

BACKGROUND: Brinjal is an important vegetable crop. Major crop loss of brinjal is due to insect attack. Insect-resistant EE-1 brinjal has been developed and is awaiting approval for commercial release. Consumer health concerns and implementation of international labelling legislation demand reliable analytical detection methods for genetically modified (GM) varieties.
RESULTS: End-point and real-time polymerase chain reaction (PCR) methods were used to detect EE-1 brinjal. In end-point PCR, primer pairs specific to 35S CaMV promoter, NOS terminator and nptII gene common to other GM crops were used. Based on the revealed 3' transgene integration sequence, primers specific for the event EE-1 brinjal were designed. These primers were used for end-point single, multiplex and SYBR-based real-time PCR. End-point single PCR showed that the designed primers were highly specific to event EE-1 with a sensitivity of 20 pg of genomic DNA, corresponding to 20 copies of haploid EE-1 brinjal genomic DNA. The limits of detection and quantification for SYBR-based real-time PCR assay were 10 and 100 copies respectively.
CONCLUSION: The prior development of detection methods for this important vegetable crop will facilitate compliance with any forthcoming labelling regulations.
Copyright © 2012 Society of Chemical Industry.

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Year:  2012        PMID: 22729745     DOI: 10.1002/jsfa.5764

Source DB:  PubMed          Journal:  J Sci Food Agric        ISSN: 0022-5142            Impact factor:   3.638


  3 in total

Review 1.  Genetically modified foods: safety, risks and public concerns-a review.

Authors:  A S Bawa; K R Anilakumar
Journal:  J Food Sci Technol       Date:  2012-12-19       Impact factor: 2.701

2.  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

Review 3.  Current perspectives on genetically modified crops and detection methods.

Authors:  Madhu Kamle; Pradeep Kumar; Jayanta Kumar Patra; Vivek K Bajpai
Journal:  3 Biotech       Date:  2017-07-03       Impact factor: 2.406

  3 in total

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