Data representing applicability of developed growth hormone 1 (GH1) gene detection method for detecting Atlantic salmon (Salmo salar) at high specificity to processed salmon commodities

Soga, Keisuke; Nakamura, Kôsuke; Ishigaki, Takumi; Kimata, Shinya; Ohmori, Kiyomi; Kishine, Masahiro; Mano, Junichi; Takabatake, Reona; Kitta, Kazumi; Nagoya, Hiroyuki; Kondo, Kazunari

doi:10.1016/j.dib.2019.104695

Cited by 4 publications

(1 citation statement)

References 3 publications

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“…To develop a detection method that could meet the requirements of the revised non-GMO labeling, we focused on reproducibility. We had previously developed simple qualitative detection methods for judging GMOs as positive based on PCR amplification. − These simple qualitative detection methods are applicable to general purposes and quite useful, but differences in the performance of PCR instruments may affect the results. In addition, very low copy numbers of the target DNA would be governed by a stochastic Poisson sample distribution and render detection less reliable. , Thus, ensuring reproducible results with normal qualitative detection methods for the revised non-GMO labeling criterion would be difficult.…”

Section: Introductionmentioning

confidence: 99%

Development and Interlaboratory Validation of a Novel Reproducible Qualitative Method for GM Soybeans Using Comparative Cq-Based Analysis for the Revised Non-GMO Labeling System in Japan

Takabatake

Egi²,

Soga

et al. 2022

Anal. Chem.

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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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Section: Introductionmentioning

confidence: 99%

Development and Interlaboratory Validation of a Novel Reproducible Qualitative Method for GM Soybeans Using Comparative Cq-Based Analysis for the Revised Non-GMO Labeling System in Japan

Takabatake

Egi²,

Soga

et al. 2022

Anal. Chem.

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Development of a novel method for specific detection of genetically modified Atlantic salmon, AquAdvantage, using real-time polymerase chain reaction

et al. 2020

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Identification of Fish Species and Targeted Genetic Modifications Based on DNA Analysis: State of the Art

Čermáková

Lencová

Mukherjee

et al. 2023

Foods

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Food adulteration is one of the most serious problems regarding food safety and quality worldwide. Besides misleading consumers, it poses a considerable health risk associated with the potential non-labeled allergen content. Fish and fish products are one of the most expensive and widely traded commodities, which predisposes them to being adulterated. Among all fraud types, replacing high-quality or rare fish with a less valuable species predominates. Because fish differ in their allergen content, specifically the main one, parvalbumin, their replacement can endanger consumers. This underlines the need for reliable, robust control systems for fish species identification. Various methods may be used for the aforementioned purpose. DNA-based methods are favored due to the characteristics of the target molecule, DNA, which is heat resistant, and the fact that through its sequencing, several other traits, including the recognition of genetic modifications, can be determined. Thus, they are considered to be powerful tools for identifying cases of food fraud. In this review, the major DNA-based methods applicable for fish meat and product authentication and their commercial applications are discussed, the possibilities of detecting genetic modifications in fish are evaluated, and future trends are highlighted, emphasizing the need for comprehensive and regularly updated online database resources.

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Data representing applicability of developed growth hormone 1 (GH1) gene detection method for detecting Atlantic salmon (Salmo salar) at high specificity to processed salmon commodities

Cited by 4 publications

References 3 publications

Development and Interlaboratory Validation of a Novel Reproducible Qualitative Method for GM Soybeans Using Comparative Cq-Based Analysis for the Revised Non-GMO Labeling System in Japan

Development and Interlaboratory Validation of a Novel Reproducible Qualitative Method for GM Soybeans Using Comparative Cq-Based Analysis for the Revised Non-GMO Labeling System in Japan

Development of a novel method for specific detection of genetically modified Atlantic salmon, AquAdvantage, using real-time polymerase chain reaction

Identification of Fish Species and Targeted Genetic Modifications Based on DNA Analysis: State of the Art

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