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Published on: November 15, 2017
Development and validation of an event-specific quantitative PCR method for genetically modified maize MIR162
Reona Takabatake1, Tomoko Masubuchi, Satoshi Futo
1Analytical Science Division, National Food Research Institute, National Agriculture and Food Research Organization.
A new real-time PCR method accurately quantifies the genetically modified (GM) maize event MIR162. This validated method, suitable for GMO analysis, has a limit of quantification at 0.5%.
Area of Science:
- Molecular Biology
- Biotechnology
- Agricultural Science
Background:
- Accurate quantification of genetically modified organisms (GMOs) is crucial for regulatory compliance and international trade.
- Existing methods may lack specificity or require extensive validation for novel events.
- The MIR162 maize event requires reliable analytical methods for detection and quantification.
Purpose of the Study:
- To develop and validate a novel real-time PCR-based method for event-specific quantification of the GM maize event MIR162.
- To determine the conversion factor (Cf) for accurate GMO amount calculation using different real-time PCR instruments.
- To assess the method's performance in terms of trueness and precision through an interlaboratory study.
Main Methods:
- Development of a standard plasmid for MIR162 quantification.
- Empirical determination of conversion factors (Cf) for Applied Biosystems 7900HT (ABI7900) and 7500 (ABI7500) real-time PCR instruments.
- Validation through a blind interlaboratory study evaluating bias and reproducibility (RSDr).
Main Results:
- Established Cf values of 0.697 for ABI7900 and 0.635 for ABI7500.
- Achieved biases below 25% and reproducibility relative standard deviation (RSDr) values below 20% across all tested concentrations.
- Determined a limit of quantification of 0.5% for the developed method.
Conclusions:
- The developed real-time PCR method provides accurate and precise event-specific quantification of MIR162 GM maize.
- The method is validated for practical application in GMO detection and quantification.
- The established Cf values and performance metrics ensure reliable analysis across different platforms.
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