Literature DB >> 20687600

Decaplex and real-time PCR based detection of MON531 and MON15985 Bt cotton events.

Gurinder Jit Randhawa1, Rashmi Chhabra, Monika Singh.   

Abstract

The genetically modified (GM) Bt crops expressing delta-endotoxins from Bacillus thuringiensis provide protection against a wide range of lepidopteron insect pests throughout the growing season of the plant. Bt cotton is the only commercialized crop in India that is planted on an area of 7.6 million hectares. With the increase in development and commercialization of transgenic crops, it is necessary to develop appropriate qualitative and quantitative methods for detection of different transgenic events. The present study reports on the development of a decaplex polymerase chain reaction (PCR) assay for simultaneous detection of transgene sequences, specific transgene constructs, and endogenous stearoyl acyl desaturase (Sad1) gene in two events of Bt cotton, i.e., MON531 and MON15985. The decaplex PCR assay is an efficient tool to identify and discriminate the two major commercialized events of Bt cotton, i.e., MON531 and MON15985, in India. Real-time PCR assays were also developed for quantification of cry1Ac and cry2Ab genes being employed in these two events. The quantitative method was developed using seven serial dilutions containing different levels of Bt cotton DNA mixed with a non-Bt counterpart ranging from 0.01 to 100%. The results revealed that the biases from the true value and the relative standard deviations were all within the range of ±20%. The limit of quantification (LOQ) of the developed real-time PCR method has also been established up to 0.01%.

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Year:  2010        PMID: 20687600     DOI: 10.1021/jf100466n

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


  3 in total

1.  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

2.  Development and inter-laboratory assessment of droplet digital PCR assays for multiplex quantification of 15 genetically modified soybean lines.

Authors:  Alexandra Bogožalec Košir; Bjørn Spilsberg; Arne Holst-Jensen; Jana Žel; David Dobnik
Journal:  Sci Rep       Date:  2017-08-17       Impact factor: 4.379

3.  Development of a qualitative real-time PCR method to detect 19 targets for identification of genetically modified organisms.

Authors:  Cheng Peng; Pengfei Wang; Xiaoli Xu; Xiaofu Wang; Wei Wei; Xiaoyun Chen; Junfeng Xu
Journal:  Springerplus       Date:  2016-06-24
  3 in total

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