Multiplex PCR system to track authorized and unauthorized genetically modified soybean events in food and feed

GMOIT: a tool for effective screening of genetically modified crops

BACKGROUND

Advancement in agricultural biotechnology has resulted in increasing numbers of commercial varieties of genetically modified (GM) crops worldwide. Though several databases on GM crops are available, these databases generally focus on collecting and providing information on transgenic crops rather than on screening strategies. To overcome this, we constructed a novel tool named, Genetically Modified Organisms Identification Tool (GMOIT), designed to integrate basic and genetic information on genetic modification events and detection methods.

RESULTS

At present, data for each element from 118 independent genetic modification events in soybean, maize, canola, and rice were included in the database. Particularly, GMOIT allows users to customize assay ranges and thus obtain the corresponding optimized screening strategies using common elements or specific locations as the detection targets with high flexibility. Using the 118 genetic modification events currently included in GMOIT as the range and algorithm selection results, a "6 + 4" protocol (six exogenous elements and four endogenous reference genes as the detection targets) covering 108 events for the four crops was established. Plasmids pGMOIT-1 and pGMOIT-2 were constructed as positive controls or calibrators in qualitative and quantitative transgene detection.

CONCLUSIONS

Our study provides a simple, practical tool for selecting, detecting, and screening strategies for a sustainable and efficient application of genetic modification.

Multiplex PCR detection method of genetically modified canola event (MON94100, LBFLFK, and NS-B50027-4) combined with capillary electrophoresis

Genetically modified organisms (GMOs) have been continuously developed for their convenience and productivity. In the past three years, three new GM canola events (MON94100, LBFLFK, and NS-B50027-4) have been developed. To efficiently control these GM canola events, the detection methods were needed. Therefore, the multiplex PCR method combined with capillary electrophoresis was developed for three GM canola events. Ten GM canola, eighteen GM soybean, thirty-two GM maize, and ten non-GM crops were used to evaluate the specificity of the method. The detection limit of the multiplex PCR assay was determined to be 0.005 ng in the DNA mixture and 0.1% in the spiked sample. The aim of this study was to establish multiplex PCR coupled with capillary electrophoresis for the newly produced three GM canola events. The developed method is expected to contribute to monitor the commercially available GM canola events.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10068-023-01377-z.

Applicability of a General Analytical Approach for Detection of Genetically Modified Organisms: Collaborative Trial

BACKGROUND

With the commercialization of genetically modified organisms (GMOs) in the market, laboratories have undergone a significantly increased workload. A universal analytical approach was designed to achieve cost-efficient and high-throughput GMOs screening with high specificity and accuracy. The approach provides accurate qualification of authorized and unauthorized GMOs.

OBJECTIVE

This paper describes the assessment of this analytical approach developed to detect majority of commercialized GMOs over the world.

METHODS

Seven elements and three events were detected by qPCR in a single laboratory to detect 59 commercialized GMOs. Certificated reference materials and food/feed samples from Chinese market were also evaluated for the specificity, conformity and robustness of this approach and were challenged in the inter-laboratory study.

RESULTS

The results showed that elements and events selected can best detect GMO presence with good specificity and sensitivity. The results showed a concordance between 97.5% and 99.56% and the variance between 0.65% and 12.88%, which is in line with the minimum requirement of analytical methods of GMO testing.

CONCLUSION

The approach validated here can be used to manipulate GMO presence in food and feed and showed the capacity to manipulate GMOs trace in the trade and domestic agriculture grocery in China.

HIGHLIGHTS

A universal analytical approach used to track GMO presence was evaluated for its specificity, sensitivity and robustness.

A multiplex and regenerable surface plasmon resonance (MR-SPR) biosensor for DNA detection of genetically modified organisms

The continuous advancement of analytical technology has provided methods with increasing sensitivity and precision to detect genetically modified organisms (GMOs). Novel analytical strategy-based detection methods are alternatives to conventional polymerase chain reaction (PCR)-mediated assays, which are still the gold standard in this field. However, PCR primers and probes cannot be reused, which makes the technique uneconomical. Surface plasmon resonance (SPR) is an optical and label-free technique for studying ligand-analyte interactions, especially for DNA hybridization, and several SPR biosensors have been described for the detection of nucleic acids. Here, a multiplexed, regenerable and real-time SPR biosensor for the detection of GMOs is described. A biosensor was constructed for qualitative detection of T-nos, CaMV35S and cry1A and had good specificity and sensitivity. The limit of detection (LOD) of this biosensor was 0.1 nM without any signal amplification. Furthermore, our biosensor could be stably regenerated more than 100 times over at least 20 days and showed good reproducibility. This nucleic acid SPR biosensor has potential for application in other types of biological detection.

Development of a Systematic qPCR Array for Screening GM Soybeans

A screening method using the 35S promoter and nos terminator for genetically modified organisms (GMOs) is not sufficient to cover all GM soybean events. In this study, a real-time polymerase chain reaction (also known as quantitative polymerase chain reaction, qPCR) array targeting eight screening assays combined with a prediction system was developed for the rapid tracking of GM soybeans. Each assay’s specificity was tested and confirmed using 17 GM soybean events that have been approved in Korea. The sensitivity of each assay was determined to range from 0.01% to 0.05% using DNA mixtures with different GM ratios, and it was validated by the results of three experimenters. The applicability of this study was tested by monitoring 23 processed foods containing soybeans. It was figured out that 13 of the 23 samples included GM soybeans. The prediction system combined with screening results will be helpful to trace the absence/presence of GM soybean events. This new qPCR array and prediction system for GM soybean detection provides rapid, convenient and reliable results to users.

Visual, sensitive and rapid event-specific detection of genetically modified potato EH92-527-1 by loop-mediated isothermal amplification method

To date, studies on the application of loop-mediated isothermal amplification (LAMP) in the detection of genetically modified organisms (GMOs) are stably increasing and demonstrates LAMP is a potential and promising method for on spot identification of GMOs. However, little information is known for detection of GM potato events by LAMP. In this report, we developed an optimized and visual LAMP assay with high specificity and sensitivity to rapidly amplify genomic DNA of potato EH92-527-1 within 45 min. The limit of detection of LAMP in our study is 10-fold higher than the conventional PCR. Furthermore, LAMP products can be directly observed via naked eyes by addition of SYBR Green I without gel electrophoresis analysis and PCR-based equipment. Therefore, the LAMP assay developed in this paper provides an efficient, convenient and cost-effective tool for the detection of GM potato EH92-527-1.

A high-throughput and ultrasensitive identification methodology for unauthorized GMP component based on suspension array and logical calculator

To solve the problem of the unauthorized GMP components within import and export goods, the LI-US (Logic Identification of unauthorized GMP content by Universal-primer Suspension-array) system, which takes advantage of suspension array and logic calculator, was developed in the present study. Seventeen signal input channels have been optimized and validated in our research to ensure the multiplex practicality of the LI-US system. Three LI-US logic gates, including a YES gate, an OR gate and an AND gate, were designed as different detection strategies for GMP identification. The feasibility and specificity of the LI-US system were validated in the present study. Combining the optimization and evaluation of the signal input procedure, the sensitivity of this LI-US system reached 0.05% of the GMP mass concentration. The practicability evaluation of LI-US demonstrated its application within different substrates and varieties. In conclusion, the LI-US system was developed with extremely high specificity, sensitivity and practicability among different substrates and varieties, which could meet the demands of unauthorized GMP contents for both import and export goods.

Panorama general de los organismos genéticamente modificados en Colombia y en el mundo: Capacidad nacional de detección

Los organismos genéticamente modificados (OGM) y en particular los cultivos genéticamente modificados (GM), son el resultado de la modificación de la información genética de una especie a partir del uso de la biotecnología moderna para proporcionar nuevas características que su contraparte no modificada no posee, tales como resistencia a insectos, tolerancia a herbicidas, contenido de nutrientes entre otros. La mayor parte de estos cultivos se concentran en cuatro productos: soya (Glycine max), maíz (Zea Mays), canola (Brassica napus) y algodón (Gossypium hirsutum); y los principales productores son Estados Unidos, Brasil, Argentina, India y Canadá. Por su parte, Colombia ocupa el puesto 18 con cultivos de maíz, algodón y claveles azules. La introducción de estas especies en cualquier mercado está limitada por la legislación propia del país destino, así como por los estudios que permiten establecer su efecto sobre el medio ambiente, la salud humana y animal; en este sentido, la precisión y confianza de las técnicas analíticas empleadas en la evaluación del contenido de OGM son un elemento importante para la toma de decisiones basadas en evidencias objetivas, especialmente frente al debate en torno a su uso. Este documento presenta una revisión de las tecnologías de análisis más importantes disponibles a nivel mundial, frente a las capacidades nacionales para su detección.

ALF: a strategy for identification of unauthorized GMOs in complex mixtures by a GW-NGS method and dedicated bioinformatics analysis

The majority of feed products in industrialised countries contains materials derived from genetically modified organisms (GMOs). In parallel, the number of reports of unauthorised GMOs (UGMOs) is gradually increasing. There is a lack of specific detection methods for UGMOs, due to the absence of detailed sequence information and reference materials. In this research, an adapted genome walking approach was developed, called ALF: Amplification of Linearly-enriched Fragments. Coupling of ALF to NGS aims for simultaneous detection and identification of all GMOs, including UGMOs, in one sample, in a single analysis. The ALF approach was assessed on a mixture made of DNA extracts from four reference materials, in an uneven distribution, mimicking a real life situation. The complete insert and genomic flanking regions were known for three of the included GMO events, while for MON15985 only partial sequence information was available. Combined with a known organisation of elements, this GMO served as a model for a UGMO. We successfully identified sequences matching with this organisation of elements serving as proof of principle for ALF as new UGMO detection strategy. Additionally, this study provides a first outline of an automated, web-based analysis pipeline for identification of UGMOs containing known GM elements.

Development and application of a general plasmid reference material for GMO screening

The use of analytical controls is essential when performing GMO detection through screening tests. Additionally, the presence of taxon-specific sequences is analyzed mostly for quality control during GMO detection. In this study, 11 commonly used genetic elements involving three promoters (P-35S, P-FMV35S and P-NOS), four marker genes (Bar, NPTII, HPT and Pmi), and four terminators (T-NOS, T-35S, T-g7 and T-e9), together with the reference gene fragments from six major crops of maize, soybean, rapeseed, rice, cotton and wheat, were co-integrated into the same single plasmid to construct a general reference plasmid pBI121-Screening. The suitability test of pBI121-Screening plasmid as reference material indicated that the non-target sequence on the pBI121-Screening plasmid did not affect the PCR amplification efficiencies of screening methods and taxon-specific methods. The sensitivity of screening and taxon-specific assays ranged from 5 to 10 copies of pBI121-Screening plasmid, meeting the sensitivity requirement of GMO detection. The construction of pBI121-Screening solves the lack of a general positive control for screening tests, thereby reducing the workload and cost of preparing a plurality of the positive control.

Current and new approaches in GMO detection: challenges and solutions

In many countries, genetically modified organisms (GMO) legislations have been established in order to guarantee the traceability of food/feed products on the market and to protect the consumer freedom of choice. Therefore, several GMO detection strategies, mainly based on DNA, have been developed to implement these legislations. Due to its numerous advantages, the quantitative PCR (qPCR) is the method of choice for the enforcement laboratories in GMO routine analysis. However, given the increasing number and diversity of GMO developed and put on the market around the world, some technical hurdles could be encountered with the qPCR technology, mainly owing to its inherent properties. To address these challenges, alternative GMO detection methods have been developed, allowing faster detections of single GM target (e.g., loop-mediated isothermal amplification), simultaneous detections of multiple GM targets (e.g., PCR capillary gel electrophoresis, microarray, and Luminex), more accurate quantification of GM targets (e.g., digital PCR), or characterization of partially known (e.g., DNA walking and Next Generation Sequencing (NGS)) or unknown (e.g., NGS) GMO. The benefits and drawbacks of these methods are discussed in this review.