SYBR® Green qPCR Screening Methods for Detection of Anti-herbicide Genes in Genetically Modified Processed Products

Published Date

March 2016, Vol.23(1):57–64, doi:10.1016/S1006-8104(16)30033-2

Title 

SYBR^® Green qPCR Screening Methods for Detection of Anti-herbicide Genes in Genetically Modified Processed Products

• Author 

• Zhen Zhen ^a,b,
• Lv Wei ^a,b
• Tang Zhi-fen ^c
• Liu Ying ^a,b
• Ao Jin-xia ^a,b,,
• Yuan Xiao-han ^a,b
• Zhang Ming-hui ^a,b
• Qiu You-wen ^a,b
• Gao Xue-jun ^a,b

• aCollege of Life Sciences, Northeast Agricultural University, Harbin 150030, China
• bAgricultural Biological Functional Gene Laboratory, Northeast Agricultural University, Harbin 150030, China
• cHarbin WEIKE Biotechnology Company, Harbin 150030, China

Received 7 September 2015. Available online 9 April 2016.

Abstract

The use of genetically modified organisms (GMOs) as food products becomes more and more widespread. The European Union has implemented a set of very strict procedures for the approval to grow, import and/or utilize GMOs as food or food ingredients. Thus, analytical methods for detection of GMOs are necessary in order to verify compliance with labelling requirements. There are few effective screening methods for processed GM (genetically modified) products. Three anti-herbicide genes (CP4-EPSPS, BAR and PAT) are common exogenous genes used in commercialized transgenic soybean, maize and rice. In the present study, a new SYBR^® Green qPCR screening method was developed to simultaneously detect the three exogenous anti-herbicide genes and one endogenous gene in a run. We tested seven samples of representative processed products (soya lecithin, soya protein powder, chocolate beverage, infant rice cereal, maize protein powder, maize starch, and maize jam) using the developed method, and amplicons of endogenous gene and transgenic fragments were obtained from all the processed products, and the sensitivity was 0.1%. These results indicated that SYBR^® Green qPCR screening method was appropriate for qualitative detection of transgenic soybean, maize and rice in processed products.

Key words

real-time PCR

food and feed analysis

GMO detection

herbicide resistance

SYBR^®Green

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Vitae

Zhen Zhen (1982-), female, experimentalist, Master, engaged in the research of detection techiques of GMO field.

• Supported by the Funds of the Scientific Research Foundation of Northeast Agricultural University (2010RCB53)

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http://www.sciencedirect.com/science/article/pii/S1006810416300332