Detection method for genetically modified papaya using duplex PCR.

A simple and rapid method for the identification of genetically modified (GM) papaya, derived from Line 55-1, was developed by modifying the Japanese official PCR method. Genomic DNA was directly extracted from the fresh fruit without the lyophilization step, using a commercial silica-based kit. To develop a duplex PCR method which simultaneously detects the GM papaya-specific gene and the intrinsic papain gene, the papain 2-5'/3' (amplicon size; 184 bp) primer pair for the detection of the papain gene was newly designed within the region of the products (211 bp) amplified using the papain 1-5'/-3' primer pair adopted in the Japanese official PCR method. To detect the GM papaya-specific gene, the primer pair Nos C-5'/CaM N-3' described in the Japanese official method was used. The DNA sequences of the GM papaya gene and the intrinsic papain gene were co-amplified using the PCR method in a single tube. The developed duplex PCR method allows the simultaneous detection of the products by means of agarose gel electrophoresis or microchip electrophoresis. The proposed method for GM papaya identification is simple and rapid.

Comparative studies of the quantification of genetically modified organisms in foods processed from maize and soy using trial producing.

Seven types of processed foods, namely, cornstarch, cornmeal, corn puffs, corn chips, tofu, soy milk, and boiled beans, were trial produced from 1 and 5% (w/w) genetically modified (GM) mixed raw materials. In this report, insect resistant maize (MON810) and herbicide tolerant soy (Roundup Ready soy, 40-3-2) were used as representatives of GM maize and soy, respectively. Deoxyribonucleic acid (DNA) was extracted from the raw materials and the trial-produced processed food using two types of methods, i.e., the silica membrane method and the anion exchange method. The GM% values of these samples were quantified, and the significant differences between the raw materials and the trial-produced processed foods were statistically confirmed. There were some significant differences in the comparisons of all processed foods. However, our quantitative methods could be applied as a screening assay to tofu and soy milk because the differences in GM% between the trial-produced processed foods and their raw materials were lower than 13 and 23%, respectively. In addition, when quantitating with two primer pairs (SSIIb 3, 114 bp; SSIIb 4, 83 bp for maize and Le1n02, 118 bp; Le1n03, 89 bp for soy), which were targeted within the same taxon specific DNA sequence with different amplicon sizes, the ratios of the copy numbers of the two primer pairs (SSIIb 3/4 and Le1n02/03) decreased with time in a heat-treated processing model using an autoclave. In this report, we suggest that the degradation level of DNA in processed foods could be estimated from these ratios, and the probability of GM quantification could be experimentally predicted from the results of the trial producing.

Novel reference molecules for quantitation of genetically modified maize and soybean.

New quantitation methods based on a real-time polymerase chain reaction (PCR) technique were developed for 5 lines of genetically modified (GM) maize, including MON810, Event176, Bt11, T25, and GA21, and a GM soy, Roundup Ready. Oligonucleotide DNA, including specific primers and fluorescent dye-labeled probes, were designed for PCRs. Two plasmids were constructed as reference molecules (RMs) for the detection of GM maize and GM soy. The molecules contain the DNA sequences of a specific region found in each GM line, universal sequences used in various GM lines, such as cauliflower mosaic virus 35S promoter and nopaline synthase terminator, and the endogenous DNA sequences of maize or soy. By using these plasmids, no GM maize and GM soy were required as reference materials for the qualitative and quantitative PCR technique. Test samples containing 0, 0.10, 0.50, 1.0, 5.0, and 10% GM maize or GM soy were quantitated. At the 5.0% level, the bias (mean-true value) ranged from 2.8 to 19.4% and the relative standard deviation was <5.2%. These results show that our method involving the use of these plasmids as RMs is reliable and practical for quantitation of GM maize and GM soy.