Development and comparative study of a pat/bar real-time PCR assay for integrating the screening strategy of a GMO testing laboratory

Monitoring of Infant Formula and Baby Food for the Pat and NOS Terminator of Genetically Modified Maize and Soybean by Real-time PCR in Iran

BACKGROUND

Soybean and maize are the most cultivated genetically modified (GM) plants. Because of the increase in the imports of GM products to Iran, infant formula and baby food, which is consumed by babies during their first month of life, can also contain soybean and maize. It has become fundamental to screen these types of products.

OBJECTIVES

The present study aimed to investigate the GM corn and soybean in baby food and infant formula using real-time polymerase chain reaction (PCR).

METHODS

A total of 60 baby food and infant formulas were collected randomly from the local drugstores in Tehran. Genomic DNA was extracted from all samples, then by real-time PCR detection, tested Pat/NOS. Internal control genes zein and lectin were used for maize and soybean, respectively.

RESULTS

Results showed that 5% of infant formulas and 5% of baby food, two Iranian and one imported baby food, and two imported and one Iranian infant formula were positive for pat. However, NOS was detected in none of the samples. The results showed positive results for the presence of the pat gene in the products without an appropriate label.

CONCLUSIONS

This article provides evidence of GM maize and soybean presence in baby food and infant formula in Iran.

Establishment and Validation of Reference Genes of Brassica napus L. for Digital PCR Detection of Genetically Modified Canola

As an effective tool for genetically modified organism (GMO) quantification in complex matrices, digital PCR (dPCR) has been widely used for the quantification of genetically modified (GM) canola events; however, little is known about the quantification of GM canola events using endogenous reference gene (ERG) characteristics by dPCR. To calculate and quantify the content of GM canola using endogenous reference gene (ERG) characteristics, the suitability of several ERGs of canola, such as cruciferin A (CruA), acetyl-CoA carboxylase (BnAcc), phosphoenolpyruvate carboxylase (PEP), cruciferin storage (BnC1), oleoyl hydrolase (Fat(A)), and high-mobility-group protein I/Y (HMG-I/Y), was investigated by droplet dPCR. BnAcc and BnC1 were more specific and stable in copy number in the genome of Brassica napus L. than the other genes. By performing intra-laboratory validation of the suitability of ERG characteristics for the quantification of GM canola events, the ddPCR methods for BnAcc and BnC1 were comprehensively demonstrated in dPCR assays. The methods could provide technical support for GM labeling regulations.

Digital PCR-Based Characterization of a g10evo-epsps Gene-Specific Matrix Reference Material for Its Food and Feed Detection

g10evo-epsps is a novel glyphosate herbicide-resistant gene that has been transferred to various crops such as soybean, corn, cotton, and rice. Here, we developed a gene-specific digital Polymerase Chain Reaction (dPCR) detection method for absolute quantitative analysis of g10evo-epsps, and characterized g10evo-epsps certified reference materials (CRM) using ZUTS-33 soybean powder as the candidate material. Stability tests of matrix CRMs demonstrate that these CRMs can be stored stably for 6 months and transported for 10 days at room temperature and withstand summer high temperatures (below 60 °C). CRM characterization is based on the copy number ratio of g10evo-epsps to lectin. Eight qualified laboratories independently validated the CRM using dPCR method, with a measurement of 0.98 (copy/copy) and an extended uncertainty of 0.08 (copy/copy). The g10evo-epsps matrix CRM described here may be used for qualitative and quantitative testing, method evaluation, laboratory quality control, and other related fields.

Applicability of a General Analytical Approach for Detection of Genetically Modified Organisms: Collaborative Trial

BACKGROUND

With the commercialization of genetically modified organisms (GMOs) in the market, laboratories have undergone a significantly increased workload. A universal analytical approach was designed to achieve cost-efficient and high-throughput GMOs screening with high specificity and accuracy. The approach provides accurate qualification of authorized and unauthorized GMOs.

OBJECTIVE

This paper describes the assessment of this analytical approach developed to detect majority of commercialized GMOs over the world.

METHODS

Seven elements and three events were detected by qPCR in a single laboratory to detect 59 commercialized GMOs. Certificated reference materials and food/feed samples from Chinese market were also evaluated for the specificity, conformity and robustness of this approach and were challenged in the inter-laboratory study.

RESULTS

The results showed that elements and events selected can best detect GMO presence with good specificity and sensitivity. The results showed a concordance between 97.5% and 99.56% and the variance between 0.65% and 12.88%, which is in line with the minimum requirement of analytical methods of GMO testing.

CONCLUSION

The approach validated here can be used to manipulate GMO presence in food and feed and showed the capacity to manipulate GMOs trace in the trade and domestic agriculture grocery in China.

HIGHLIGHTS

A universal analytical approach used to track GMO presence was evaluated for its specificity, sensitivity and robustness.