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

Genetically modified (GM) Atlantic salmon, AquAdvantage (AquAd), was the first GM animal approved officially for human consumption. Many countries monitor the use of this product under their GM regulations, but a pragmatic system for AquAd-specific detection is needed. Here, we developed a real-time polymerase chain reaction method with high sensitivity for detection of AquAd in foods. This method showed high specificity for the AquAd transgene and the detection limit was 12.5-25 targeted DNA copies per test reaction. An inter-laboratory study using the method developed demonstrated reproducibility at >0.1% (w/w) AquAd content.

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.

This article is referred to the research article entitled "Development of a novel method for specific detection of genetically modified Atlantic salmon, AquAdvantage, using real-time polymerase chain reaction" by Soga et al. (2020). Applicability of the developed growth hormone 1 (GH1) and 18S ribosomal DNA (18S rDNA) detection methods using real-time polymerase chain reaction (PCR) for detecting Atlantic salmon (Salmo salar) to processed food commodities was examined. DNAs extracted and purified from 24 commodities labelled to include salmon as an ingredient were used as template. Yield and purity of DNAs obtained and Cq values from real-time PCR analyses were provided.

Molecular phylogenetic analysis of new Entoloma rhodopolium-related species in Japan and its identification method using PCR-RFLP.

Poisonous Entoloma rhodopolium and other similar species including edible E. sarcopum are morphologically diverse. People mistake poisonous species for edible species. Classification and the detection method of these species need to be defined. The morphological and phylogenetic studies have been reported in northern Europe. In Japan, the genetic study remains unsolved. Thus, phylogenetic analysis of E. rhodopolium was conducted using ITS and RPB2 sequences, and the result was compared with that of European species. Japanese E. rhodopolium was classified into three clades, none of which belonged to the true European E. rhodopolium and other known species. Three species were defined as new species. Entoloma rhodopolium clade-I (named E. lacus) was genetically close to but morphologically separated from E. majaloides. Clade-II (E. subrhodopolium) was classified to the same group as E. sinuatum and E. subsinuatum, but distinct from these species. Clade-III was segregated from known Entoloma species including E. lupinum, and named E. pseudorhodopolium. Based on the classification, a simple identification method PCR-RFLP was developed to discriminate between poisonous species and edible E. sarcopum, which is very similar in morphology. The study can help to clarify the taxonomy of complex E. rhodopolium-related species, and to prevent food poisoning.

Interlaboratory validation data on real-time polymerase chain reaction detection for unauthorized genetically modified papaya line PRSV-YK.

This article is referred to research article entitled "Whole genome sequence analysis of unidentified genetically modified papaya for development of a specific detection method" (Nakamura et al., 2016) [1]. Real-time polymerase chain reaction (PCR) detection method for unauthorized genetically modified (GM) papaya (Carica papaya L.) line PRSV-YK (PRSV-YK detection method) was developed using whole genome sequence data (DDBJ Sequenced Read Archive under accession No. PRJDB3976). Interlaboratory validation datasets for PRSV-YK detection method were provided. Data indicating homogeneity of samples prepared for interlaboratory validation were included. Specificity and sensitivity test data for PRSV-YK detection method were also provided.

Development and Interlaboratory Validation of a Simple Screening Method for Genetically Modified Maize Using a ΔΔC(q)-Based Multiplex Real-Time PCR Assay.

A number of genetically modified (GM) maize events have been developed and approved worldwide for commercial cultivation. A screening method is needed to monitor GM maize approved for commercialization in countries that mandate the labeling of foods containing a specified threshold level of GM crops. In Japan, a screening method has been implemented to monitor approved GM maize since 2001. However, the screening method currently used in Japan is time-consuming and requires generation of a calibration curve and experimental conversion factor (C(f)) value. We developed a simple screening method that avoids the need for a calibration curve and C(f) value. In this method, ΔC(q) values between the target sequences and the endogenous gene are calculated using multiplex real-time PCR, and the ΔΔC(q) value between the analytical and control samples is used as the criterion for determining analytical samples in which the GM organism content is below the threshold level for labeling of GM crops. An interlaboratory study indicated that the method is applicable independently with at least two models of PCR instruments used in this study.

Whole genome sequence analysis of unidentified genetically modified papaya for development of a specific detection method.

Identification of transgenic sequences in an unknown genetically modified (GM) papaya (Carica papaya L.) by whole genome sequence analysis was demonstrated. Whole genome sequence data were generated for a GM-positive fresh papaya fruit commodity detected in monitoring using real-time polymerase chain reaction (PCR). The sequences obtained were mapped against an open database for papaya genome sequence. Transgenic construct- and event-specific sequences were identified as a GM papaya developed to resist infection from a Papaya ringspot virus. Based on the transgenic sequences, a specific real-time PCR detection method for GM papaya applicable to various food commodities was developed. Whole genome sequence analysis enabled identifying unknown transgenic construct- and event-specific sequences in GM papaya and development of a reliable method for detecting them in papaya food commodities.