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Updated: Aug 27, 2025

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
Published on: May 21, 2020
Development and Interlaboratory Validation of a Novel Reproducible Qualitative Method for GM Soybeans Using
Reona Takabatake1, Tomohiro Egi2, Keisuke Soga3
1Food Research Institute, National Agriculture and Food Research Organization, 2-1-12 Kannondai, Tsukuba, Ibaraki 305-8642, Japan.
Abstract:
Many countries have implemented the labeling system of genetically modified organisms (GMO). In Japan, the regulatory threshold for non-GMO labeling will be revised and restricted to undetectable by April 2023. The practical criterion for the revised system is based on the limit of detection (LOD). However, determining whether the commingling of GMO levels exceeds the LOD is challenging because GM contents close to the LOD are usually below the limit of quantification. In this study, we developed a qualitative method based on comparative Cq-based analysis targeting cauliflower mosaic virus 35S promoter and GM soybean MON89788 event-specific sequences that could be applicable to the revised non-GMO labeling. ΔCq values between the target and endogenous sequences were calculated, and the ΔΔCq value obtained was used as a criterion to determine analytical samples with GM contents exceeding the threshold. To improve the reproducibility of the method, we used a standard plasmid that yields equivalent and stable ΔCq values comparable with those obtained from LOD samples. The developed method was validated with an interlaboratory study. The new qualitative detection concept would be useful for ensuring robust and reproducible results among laboratories, particularly for detecting low-copy-number DNA samples.
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