Development and applicability of a ready-to-use PCR system for GMO screening

Proficiency of European GMO control laboratories to quantify MON89788 soybean in a meat pâté matrix

GMO control laboratories in the EU routinely monitor the presence and content of genetically modified organisms (GMOs) in food and feed products collected from the EU market. As the vast majority of GMOs comprize genetically modified plants, most control samples have a plant-based origin. For the first time, a pilot proficiency test was organised requiring the analysis of GMOs in a meat matrix. Meat pâté, a product in which soybean is occasionally identified, was spiked with GM soybean event MON89788, homogenised by mixing, aliquoted in sachets and frozen. The assigned value was determined by two independent expert laboratories. Several DNA extraction methods were tested and proved to be insufficient for the removal of PCR inhibitors present in the DNA extracts, resulting in a GM content underestimated by at least 30%. This problem was solved either by using hot-start qPCR chemistry or by applying the same method in a digital PCR format. A total of 52 laboratories participated in the study. They were requested to verify the presence of any GM soybean in the test item and to quantify the GM event(s) identified by their method of choice. All but one laboratory identified the MON89788 soybean event present in the pâté matrix. The majority of the quantitative results reported were below the assigned value, but did not deviate more than 50% from it. This study demonstrated the proficiency of most GMO control laboratories for the analysis of GMOs in a meat-based product. It also shows that method optimisation for GMO analysis in meat products is nevertheless advisable.

A label-free electrochemical impedimetric DNA biosensor for genetically modified soybean detection based on gold carbon dots

A label-free electrochemical impedimetric biosensor was constructed based on gold carbon dots (GCDs) modified screen-printed carbon electrode for the detection of genetic modified (GM) soybean. The structure and property of GCDs were investigated. The GCDs can directly bind to single-stranded DNA probes through Au-thiol interaction and boost electric conductivity for the DNA sensor construction. The quantification of target DNA was monitored by the change of electron-transfer resistance (Ret) upon the DNA hybridization on sensor surface. Under the optimal conditions, the Ret response (vs. Ag reference electrode) increased with the logarithm of target DNA concentrations in a wide linear range of 1.0 × 10-7 - 1.0 × 10-13 M with a detection limit of 3.1 × 10-14 M (S/N = 3). It was also demonstrated that the proposed DNA sensor possessed high specificity for discriminating target DNA from mismatched sequences. Moreover, the developed biosensor was applied to detect SHZD32-1 in actual samples, and the results showed a good consistency with those obtained from the gel electrophoresis method. Compared with the previous reports for DNA detection, the label-free biosensor showed a comparatively simple platform due to elimination of complicated DNA labeling. Therefore, the proposed method showed great potential to be an alternative device for simple, sensitive, specific, and portable DNA sensor.

Ultrasensitive detection and quantification of viral nucleic acids with Raindance droplet digital PCR (ddPCR)

Sensitive detection of viral nucleic acids is critically important for diagnosis and monitoring of the progression of infectious diseases such as those caused by SARS-CoV2, HIV-1, and other viruses. In HIV-1 infection cases, assessing the efficacy of treatment interventions that are superimposed on combination antiretroviral therapy (cART) has benefited tremendously from the development of sensitive HIV-1 DNA and RNA quantitation assays. Simian immunodeficiency virus (SIV) infection of Rhesus macaques is similar in many key aspects to human HIV-1 infection and consequently this non-human primate (NHP) model has and continues to prove instrumental in evaluating HIV prevention, treatment and eradication approaches. Cell and tissue associated HIV-1 viral nucleic acids have been found to serve as useful predictors of disease outcome and indicators of treatment efficacy, highlighting the value of and the need for sensitive detection of viruses in cells/tissues from infected individuals or animal models. However, viral nucleic acid detection and quantitation in such sample sources can often be complicated by high nucleic acid input (that is required to detect ultralow level viruses in, for example, cure research) or inhibitors, leading to reduced detection sensitivity and under-quantification, and confounded result interpretation. Here, we present a step-by-step procedure to quantitatively recover cell/tissue associated viral DNA and RNA, using SIV-infected Rhesus macaque cells and tissues as model systems, and subsequently quantify the viral DNA and RNA with an ultrasensitive SIV droplet digital PCR (ddPCR) assay and reverse transcription ddPCR (RT-ddPCR) assay, respectively, on the Raindance ddPCR platform. The procedure can be readily adapted for a broad range of applications where highly sensitive nucleic acid detection and quantitation are required.

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 CRISPR/Cas12a-Mediated Dual-Mode Electrochemical Biosensor for Polymerase Chain Reaction-Free Detection of Genetically Modified Soybean

A clustered regularly interspaced short palindromic repeats (CRISPR)/Cas12a-mediated dual-mode electrochemical biosensor without polymerase chain reaction (PCR) amplification was designed for sensitive and reliable detection of genetically modified soybean SHZD32-1. A functionalized composite bionanomaterial Fe3O4@AuNPs/DNA-Fc&Ru was synthesized as the signal unit, while a characteristic gene fragment of SHZD32-1 was chosen as the target DNA (tDNA). When Cas12a, crRNA, and tDNA were present simultaneously, a ternary complex Cas12a-crRNA-tDNA was formed, and the nonspecific cleavage ability of the CRISPR/Cas12a system toward single-stranded DNA was activated. Thus, the single-stranded DNA-Fc in the signal unit was cleaved, resulting in the decrease in the fast scan voltammetric (FSV) signal from ferrocene (Fc) and the increase in the electrochemiluminescence (ECL) signal from ruthenium complex (Ru) inhibited by Fc. The linear range was 1-107 fmol/L for ECL and 10-108 fmol/L for FSV, and the limit of detection (LOD) was 0.3 fmol/L for ECL and 3 fmol/L for FSV. Accuracy, precision, stability, selectivity, and reliability were all satisfied. In addition, PCR-free detection could be completed in an hour at room temperature without requiring complicated operation and sample processing, showing great potential in the field detection of genetically modified crops.

A sensitive immunosensor based on graphene-PAMAM composites for rapid detection of the CP4-EPSPS protein in genetically modified crops

A simple electrochemical immunosensor based on nitrogen-doped graphene and polyamide-amine (GN-PAM) composites was proposed for the detection of the CP4-EPSPS protein in genetically modified (GM) crops. In this immunosensor, the amplification of the detection signal was realized through antibodies labeled with gold nanoparticles (AuNPs). The electrochemical responses of the immunosensor were linear (R2 = 0.9935 and 0.9912) when the GM soybean RRS and maize NK603 content ranged from 0.025% to 1.0% and 0.05% to 1.5%, respectively. The limits of detection for the GM soybean RRS and maize NK603 were as low as 0.01% and 0.03%, respectively. The immunosensor also exhibited high specificity, and satisfactory stability, reproducibility, and accuracy. Our findings indicated that the constructed immunosensor provides a new approach for the sensitive detection of the CP4-EPSPS protein. Notably, the sensor may be applied to other proteins or pathogenic bacteria by simply changing the antibodies, and may also be used for multi-component analysis.

GmoDetector: An accurate and efficient GMO identification approach and its applications

The rapid increase of genetically modified organisms (GMOs) entering the food and feed markets, and the contamination of donor (micro)organisms of transgenic elements make it more challenging for the existing GMO detection. In this study, we developed a high-throughput and contamination-removal GMO detection approach named as GmoDetector. GmoDetector targeted 64 common transgenic elements and 76 GMO-specific events collected from 251 singular GM events, and combined with next generation sequencing (NGS) and target enrichment technology to detect various GMOs. As a result, GmoDetector was able to exclude the donor (micro)organism contamination, and detect the authorized and unauthorized GMOs (UGMOs) in any forms of food or feed, such as processed or unprocessed. The sensitivity of GmoDetector is as low as 0.1% (GMO content), which has met the GMO labeling threshold for all countries. Therefore, GmoDetector is a robust tool for accurate and efficient detection of the authorized and UGMOs.

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.

Development of a reverse transcription droplet digital PCR (RT-ddPCR) assay for sensitive detection of simian immunodeficiency virus (SIV)

BACKGROUND

Simian immunodeficiency virus (SIV)-infected rhesus macaques constitute an excellent model of human HIV infection. Sensitive detection of SIV RNA in cell and tissue samples from infected animals subjected to treatment regimens becomes especially critical in determining which therapeutic attempts are successful, and consequently, which interventions should be prioritized in HIV cure research.

RESULTS

In this report, we describe the design and testing of a Raindance ddPCR platform-based, sensitive SIV reverse transcription droplet digital PCR (RT-ddPCR) assay by exploring the combinations of various priming conditions and reverse transcriptases, and testing one-step vs. two-step procedures, to eliminate background signal(s) and enable detection and quantification of low level target signals.

CONCLUSIONS

Similar reaction conditions and assay validation procedures can be explored for potential development of additional assays for other applications that require sensitive detection of low-level targets in RNA samples.

Prevalence of Genetically Modified Soybean in Animal Feedingstuffs in Poland

Introduction

Globally, genetically modified (GM) crops were grown on 191.7 million hectares in 2018, which were mostly sown with soybean, maize, cotton, oilseed rape, and rice. The most popular traits introduced through genetic modification include herbicide and pest insect resistance. The aim of this study was to identify and quantify genetically modified soybean used in animal feed in Poland.

Material and methods

This research was based on the real-time PCR technique. All methods for GM soybean events were adopted from the EURL GMFF database of methods and previously verified to meet the minimum criteria of acceptance. Over 15 years of research, 665 samples were examined in total.

Results

The most common GM soybean event was MON40-3-2, tested for from the beginning of the investigation. Next, in decreasing order of frequency, were MON89788, MON87701, and A2704-12. In the majority of samples (606; 91%) GM soybeans were identified at a content level above the 0.9% GM content threshold for mandatory labelling. Only 59 soybean samples (9%) were identified as GM negative. GM negative results were mainly identified during the analyses in the last three years of the study, from 2017 to 2019.

Conclusion

Our data clearly indicate that the majority of soybean used in Poland for animal feeding was genetically modified.

Development and optimization of a simian immunodeficiency virus (SIV) droplet digital PCR (ddPCR) assay

Accurate and sensitive quantification of rebound competent HIV that persists despite combination antiretroviral treatment (cART), including in latently infected cells (i.e., viral reservoir), is critical for evaluating cure strategies for decreasing or eliminating this reservoir. Simian immunodeficiency virus (SIV)-infected Rhesus macaques are an important non-human primate (NHP) system for studying potential cure strategies as they model many key aspects of human HIV-infection including the persistence of a latent viral reservoir in resting memory CD4+ T cells in animals receiving prolonged cART. In this report, we describe the design and testing of a sensitive SIV droplet digital PCR (ddPCR) assay through exploring the combination and optimization of different probe systems (including single, double quencher probes and minor groove binder (MGB) probes) and reaction conditions to eliminate background signal(s), ensure distinct target signal cluster separation from non-target signals, and enable detection and quantification of low level authentic target signals. Similar reaction conditions and assay validation procedures can be explored for potential development of additional assays for other applications that require sensitive detection of low-level targets in a large background of nucleic acid input derived from cell or tissue sources.

Development and comparative study of a pat/bar real-time PCR assay for integrating the screening strategy of a GMO testing laboratory

BACKGROUND

The number and variety of genetically modified organisms (GMOs) used globally for the production of food and feed, and potentially circulating in the European Union (EU), is constantly increasing. This implies an additional effort for the EU enforcement laboratories to optimize available resources, to contain costs and time. A well established approach for streamlining the analytical workflow is the introduction of a screening step, typically based on a smart set of real-time polymerase chain reaction (PCR) screening methods. The multiplexing strategy, allowing the detection of several screening elements simultaneously, is a further optimization of this step.

RESULTS

In this study, we present the validation of a real-time PCR duplex assay for the pat and bar screening elements to be easily incorporated in the GMO diagnostic routine. We also provide a comparison between this method and the related singleplex and pre-spotted assays.

CONCLUSION

Our results fully respect all the validation parameters suggested by the Minimum Performance Criteria of the European Network of GMO Laboratories. Furthermore, the duplex assay is equivalent in terms of performance compared to the other two methods, but it shows a higher overall flexibility and cost effectiveness. © 2019 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Screening of Processed Foods for Transgenic Proteins from Genetically Engineered Plants Using Targeted Mass Spectrometry

Screening of food products for the presence of material from genetically engineered (GE) plants is typically done using deoxyribonucleic acid (DNA)-based methods to detect the presence of transgenic DNA. In this study, we have demonstrated the feasibility of using targeted mass spectrometry (MS) to detect a protein expressed by transgenic DNA to confirm the presence of GE plant material in processed foods. Scheduled parallel reaction monitoring (sPRM) was used to detect the enzyme, 5-enolpyruvulshikimate-3-phosphate synthase, from Agrobacterium sp. strain CP4 (CP4 EPSPS), which confers glyphosate tolerance in transgenic crops. Five CP4 EPSPS surrogate peptides and their corresponding retention times identified via data-dependent LC/MS/MS analysis of a glyphosate-tolerant soybean certified reference material, GTS 40-3-2, were used to develop the sPRM assay. The assay was used to screen four soy-based infant formulas, four corn-based cereals, corn tortilla chips, and cornmeal for the presence of CP4 EPSPS. At least four of the five selected surrogate peptides were detected in nine of the products analyzed, suggesting that targeted MS can serve as a complementary analytical method to DNA-based methods for the detection of material from GE plants in processed foods.

Development and Testing of an Individual Kernel Detection System for Genetically Modified Soybean Events in Non-identity-preserved Soybean Samples

A genetically modified (GM) soybean kernel detection system using combination of DNA preparation from individual soybean kernels and event-specific real-time PCR was developed to simultaneously identify GM soybean events authorized for food after safety assessments in Japan. Over 100 kernels in the non-identity-preserved soybean samples imported from the United States of America (two U.S.A. lots) and Brazil (one lot) were randomly selected and examined. In total, 98 and 96% of the two independent U.S.A. lots, and 100% of the Brazilian lot contained GM soybean kernels. Herbicide-tolerant events, MON89788 (trade name Genuity® Roundup Ready 2 Yield™), GTS 40-3-2 (trade name Roundup Ready™ soybean) and A2704-12 (trade name Liberty Link® soybean), were detected similarly in both U.S.A. lots. In the Brazilian lot, in addition to GTS 40-3-2, a stacked GM event, MON87701 × MON89788, having insect-resistance and herbicide-tolerance, was detected. There were no unauthorized GM soybeans comingled, and the ratio of GM soybean events detected was consistent with statistical reports on the cultivated GM soybean events in both countries.

Highly sensitive immunosensing platform for one-step detection of genetically modified crops

The wide cultivation of genetically modified (GM) insect-resistant crops has raised concerns on the risks to the eco-environment resulting from a release of Cry proteins. Therefore, it is vital to develop a method for the quantification of GM crops. Herein, A highly sensitive immunosensing platform has been developed for both colorimetric and chemiluminescent (CL) detection of Cry 1Ab using dual-functionalized gold nanoparticles (AuNPs) as signal amplification nanoprobes for the first time. In this work, anti-Cry 1Ab monoclonal antibody and horseradish peroxidase (HRP) are simultaneously functionalized on the surface of AuNPs with an exceptionally simple synthesis method. Combined with immunomagnetic separation, this immunosensing platform based on colorimetric method could detect Cry 1Ab in one step in a linear range from 1.0 to 40 ng mL⁻¹ within 1.5 h, with a limit of detection of 0.50 ng mL⁻¹. The sensitivity of fabricated nanoprobes was 15.3 times higher than that using commercial HRP-conjugated antibody. Meanwhile, the fabricated nanoprobes coupled with CL detection was successfully applied for Cry 1Ab detection with a minimum detection concentration of 0.050 ng mL⁻¹ within a linear range of 0.10–20 ng mL⁻¹. The proposed approach was validated with genuine GM crops, and the results showed a good correlation coefficient of 0.9906 compared to those of a commercial ELISA kit. Compared with ELISA, the developed immunosensing platform significantly simplified the assay procedure and shortened the analytical time, thus providing a new platform for the detection of genetically modified crops with high sensitivity, rapidity and simplicity.

Utility of a ready-to-use PCR system for neuroendocrine tumor diagnosis

BACKGROUND

Multigene-based PCR tests are time-consuming and limiting aspects of the protocol include increased risk of operator-based variation. In addition, such protocols are complex to transfer and reproduce between laboratories.

AIMS

Evaluate the clinical utility of a pre-spotted PCR plate (PSP) for a novel multigene (n = 51) blood-based gene expression diagnostic assay for neuroendocrine tumors (NETs).

METHODS

A pilot study (n = 44; 8 controls and 36 NETs) was undertaken to compare CQ, normalized gene expression and algorithm-based output (NETest score). Gene expression was then evaluated between matched blood:tumor tissue samples (n = 7). Thereafter, two prospective sets (diagnostic: n = 167; clinical validation: n = 48, respectively) were evaluated for diagnostic and clinical utility value. Two independent molecular diagnostics facilities were used to assess assay reproducibility and inter-laboratory metrics. Samples were collected (per CLIA protocol) processed to mRNA and cDNA and then either run per standard assay (liquid primers) or on PSPs. Separately, matching plasma samples were analyzed for chromogranin A (CgA). Statistics included non-parametric testing, Pearson-concordance, Predictive Modeling and AUROC analyses.

RESULTS

In the pilot study (n = 44), CQ values were highly concordant (r: 0.82, p<0.0001) and normalized gene expression data significantly related (p<0.0001) (Pearson-pairwise correlation). NETest values were not different (49.7±33 standard vs. 48.5±31.5 PSP) and the overall concordance in output 96%. Predictive modelling confirmed this concordance (F1 score = 0.95). Gene expression levels were highly correlated between blood and tumor tissue (R: 0.71-0.83). In the diagnostic cohort (n = 30 controls, n = 87 non-NET controls, n = 50 NET), NETest was significantly lower (p<0.0001) in controls (11±6.5) and non-NET controls (13±18) than NETs (61±31). The AUROCs were 0.93-0.97 and the diagnostic accuracy was 90-97.5%. As a diagnostic, the PSP-NETest was significantly better than CgA (accuracy: 56%, p<0.0001). For clinical samples, the PSP generated robust and accurate (>96%) scores and was significantly better (p<0.0001) than CgA. The assay protocol was consistent (r: 0.97) and reproducible (co-efficient of variation: 1.3-4.2%) across the two facilities.

CONCLUSION

The PSP protocol for the NETest has been established and prospectively tested in clinical samples. It is highly reproducible, has similar metrics (CV, categorization by control or NET) to the standard PCR assay and generates clinically concordant (>96%) NETest results. Moreover, it functions significantly more accurately than CgA.

Critical assessment of digital PCR for the detection and quantification of genetically modified organisms

The number of genetically modified organisms (GMOs) on the market is steadily increasing. Because of regulation of cultivation and trade of GMOs in several countries, there is pressure for their accurate detection and quantification. Today, DNA-based approaches are more popular for this purpose than protein-based methods, and real-time quantitative PCR (qPCR) is still the gold standard in GMO analytics. However, digital PCR (dPCR) offers several advantages over qPCR, making this new technique appealing also for GMO analysis. This critical review focuses on the use of dPCR for the purpose of GMO quantification and addresses parameters which are important for achieving accurate and reliable results, such as the quality and purity of DNA and reaction optimization. Three critical factors are explored and discussed in more depth: correct classification of partitions as positive, correctly determined partition volume, and dilution factor. This review could serve as a guide for all laboratories implementing dPCR. Most of the parameters discussed are applicable to fields other than purely GMO testing. Graphical abstract There are generally three different options for absolute quantification of genetically modified organisms (GMOs) using digital PCR: droplet- or chamber-based and droplets in chambers. All have in common the distribution of reaction mixture into several partitions, which are all subjected to PCR and scored at the end-point as positive or negative. Based on these results GMO content can be calculated.

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.

An ultrasensitive label-free electrochemiluminescent immunosensor for measuring Cry1Ab level and genetically modified crops content

The development of genetically modified (GM) insect-resistant crops has aroused great public concern about the risks on the eco-environment resulting from a release of toxic Cry proteins (such as Cry1Ab) to the soil. Therefore, it is of crucial importance to measure the Cry proteins level and the GM crops content. Here, we have tested for the first time a method that uses novel carbon nanospheres (CNPs) label-free electrochemiluminescent (ECL) immunosensor for the ultrasensitive quantification of Cry1Ab and GM crops. In this work, novel CNPs were prepared from printer toner with a very facile approach, and linked with anti-Cry1Ab antibodies to modify a golden working electrode. The immunoreaction between Cry1Ab and its antibody formed an immunocomplex on the bioreceptor region of the sensor, which inhibited electron transfer between the electrode surface and the ECL substance, leading to a decrease of ECL response. Under the optimal conditions, the fabricated label-free ECL immunosensor determined Cry1Ab down to 3.0pgmL^-1 within a linear range of 0.010-1.0ngmL^-1, showing significant improvement of sensitivity than that of most previous reports. Meanwhile, the proposed method was successfully applied for GM rice BT63 and GM maize MON810 detections down to 0.010% and 0.020%, respectively. Due to its outstanding advantages such as high sensitivity, ideal selectivity, simple fabrication, rapid detection, and low cost, the developed method can be considered as a powerful and pioneering tool for GM crops detection. Its use can also be extended to other toxin protein sensing in foods.

Semiautomated TaqMan PCR screening of GMO labelled samples for (unauthorised) GMOs

In most countries, systems are in place to analyse food products for the potential presence of genetically modified organisms (GMOs), to enforce labelling requirements and to screen for the potential presence of unauthorised GMOs. With the growing number of GMOs on the world market, a larger diversity of methods is required for informative analyses. In this paper, the specificity of an extended screening set consisting of 32 screening methods to identify different crop species (endogenous genes) and GMO elements was verified against 59 different GMO reference materials. In addition, a cost- and time-efficient strategy for DNA isolation, screening and identification is presented. A module for semiautomated analysis of the screening results and planning of subsequent event-specific tests for identification has been developed. The Excel-based module contains information on the experimentally verified specificity of the element methods and of the EU authorisation status of the GMO events. If a detected GMO element cannot be explained by any of the events as identified in the same sample, this may indicate the presence of an unknown unauthorised GMO that may not yet have been assessed for its safety for humans, animals or the environment.

A homogeneous assay for highly sensitive detection of CaMV35S promoter in transgenic soybean by förster resonance energy transfer between nitrogen-doped graphene quantum dots and Ag nanoparticles

In this work, a novel homogeneous assay for DNA quantitative analysis based on förster resonance energy transfer (FRET) was developed for cauliflwer mosaic virus 35s (CaMV35S) promoter of transgenic soybean detection. The homogenous FRET of fluorescence signal was fabricated by DNA hybridization with probe modified nitrogen-doped graphene quantum dots (NGQDs) and silver nanoparticles (AgNPs), which acted the donor-acceptor pairs for the first time. The highly efficient FRET and unique properties of the NGQDs made the proposed FRET system as a functionalized detection platform for labelling of DNA. Upon the recognition of specific target DNA (tDNA), the FRET between NGQDs and AgNPs was triggered to produce fluorescence quenching, which could be used for tDNA detection. The fabricated homogeneous FRET assay displayed a wide linear range of 0.1-500.0 nM and a low limit of detection 0.03 nM for the detection of CaMV35S (S/N = 3). This proposed biosensor revealed high specificity to detect tDNA, with acceptable intra-assay precision and excellent stability. This method was successfully applied to identify the real sample of 0.5% containing transgenic soybean, which achieved the most of national law regulations. This assay was further validated by polymerase chain reaction as the genetically modified organisms, suggesting that the proposed FRET system is a feasible tool for the further daily genetically modified organism detection.