Elodie Barbau-Piednoir

A theoretical introduction to “Combinatory SYBR®Green qPCR Screening”, a matrix-based approach for the detection of materials derived from genetically modified plants

The detection of genetically modified (GM) materials in food and feed products is a complex multi-step analytical process invoking screening, identification, and often quantification of the genetically modified organisms (GMO) present in a sample. “Combinatory qPCR SYBR®Green screening” (CoSYPS) is a matrix-based approach for determining the presence of GM plant materials in products. The CoSYPS decision-support system (DSS) interprets the analytical results of SYBR®GREEN qPCR analysis based on four values: the Ct- and Tm values and the LOD and LOQ for each method. A theoretical explanation of the different concepts applied in CoSYPS analysis is given (GMO Universe, “Prime number tracing”, matrix/combinatory approach) and documented using the RoundUp Ready soy GTS40-3-2 as an example. By applying a limited set of SYBR®GREEN qPCR methods and through application of a newly developed “prime number”-based algorithm, the nature of subsets of corresponding GMO in a sample can be determined. Together, these analyses provide guidance for semi-quantitative estimation of GMO presence in a food and feed product.

The GMOseek matrix: a decision support tool for optimizing the detection of genetically modified plants

BackgroundSince their first commercialization, the diversity of taxa and the genetic composition of transgene sequences in genetically modified plants (GMOs) are constantly increasing. To date, the detection of GMOs and derived products is commonly performed by PCR-based methods targeting specific DNA sequences introduced into the host genome. Information available regarding the GMOs’ molecular characterization is dispersed and not appropriately organized. For this reason, GMO testing is very challenging and requires more complex screening strategies and decision making schemes, demanding in return the use of efficient bioinformatics tools relying on reliable information.DescriptionThe GMOseek matrix was built as a comprehensive, online open-access tabulated database which provides a reliable, comprehensive and user-friendly overview of 328 GMO events and 247 different genetic elements (status: 18/07/2013). The GMOseek matrix is aiming to facilitate GMO detection from plant origin at different phases of the analysis. It assists in selecting the targets for a screening analysis, interpreting the screening results, checking the occurrence of a screening element in a group of selected GMOs, identifying gaps in the available pool of GMO detection methods, and designing a decision tree. The GMOseek matrix is an independent database with effective functionalities in a format facilitating transferability to other platforms. Data were collected from all available sources and experimentally tested where detection methods and certified reference materials (CRMs) were available.ConclusionsThe GMOseek matrix is currently a unique and very valuable tool with reliable information on GMOs from plant origin and their present genetic elements that enables further development of appropriate strategies for GMO detection. It is flexible enough to be further updated with new information and integrated in different applications and platforms.

Evaluation of viability-qPCR detection system on viable and dead Salmonella serovar Enteritidis

The propidium monoazide (PMA) coupled with PCR (viability PCR) is used in foodborne pathogen detection in order to detect only viable bacteria. Originally presented to fully remove the signal of dead bacteria, the limits of the viability PCR rapidly came out in the literature. In this study, the use of PMA in a viability-qPCR (v-qPCR) was assessed on viable and dead cells of Salmonella enterica subsp. enterica serovar Enteritidis. The PMA treatment protocol was modified (dark incubation duration, concentration of PMA) to evaluate if a complete negative signal of dead Salmonella was possible. However, none of these modifications was found to improve the removal of the remaining qPCR signal observed in the presence of dead bacteria. The present research also underlines that PMA may unexpectedly decrease the qPCR signal observed on living S. Enteritidis at low concentration. Finally, the use of S. Enteritidis cells killed by processes altering or not the cell-wall/membrane gives us a clue to answering the question about the non-total extinction of the signal of dead cells sample in the v-qPCR assay. Indeed, the data strongly indicate that the remaining qPCR signal observed in non-culturable cells does not only depend on the cell-wall/membrane integrity of the bacteria. According to these results, the authors suggest that for a rapid and reliable foodborne bacteria detection system, an enrichment followed by a qPCR analysis should be preferred to a v-qPCR.

Towards a Pathogenic Escherichia coli Detection Platform Using Multiplex SYBR®Green Real-Time PCR Methods and High Resolution Melting Analysis

Escherichia coli is a group of bacteria which has raised a lot of safety concerns in recent years. Five major intestinal pathogenic groups have been recognized amongst which the verocytotoxin or shiga-toxin (stx1 and/or stx2) producing E. coli (VTEC or STEC respectively) have received a lot of attention recently. Indeed, due to the high number of outbreaks related to VTEC strains, the European Food Safety Authority (EFSA) has requested the monitoring of the “top-five” serogroups (O26, O103, O111, O145 and O157) most often encountered in food borne diseases and addressed the need for validated VTEC detection methods. Here we report the development of a set of intercalating dye Real-time PCR methods capable of rapidly detecting the presence of the toxin genes together with intimin (eae) in the case of VTEC, or aggregative protein (aggR), in the case of the O104:H4 strain responsible for the outbreak in Germany in 2011. All reactions were optimized to perform at the same annealing temperature permitting the multiplex application in order to minimize the need of material and to allow for high-throughput analysis. In addition, High Resolution Melting (HRM) analysis allowing the discrimination among strains possessing similar virulence traits was established. The development, application to food samples and the flexibility in use of the methods are thoroughly discussed. Together, these Real-time PCR methods facilitate the detection of VTEC in a new highly efficient way and could represent the basis for developing a simple pathogenic E. coli platform.

New SYBR®Green methods targeting promoter sequences used for screening of several GM events pending for authorisation in Europe

Seen the growing number of genetically modified (GM) crops being developed, the need for cost- and time-effective detection methods is increasing to enable continuing the necessary effective control on food and feed products. This need can be achieved by performing an intensive screening combined with decision support tools like the CoSYPS matrix which permits reducing the number of events to be identified. To allow an extra covering power of the CoSYPS and to be able to include new EU-authorised GM events, two new SYBR®Green real-time PCR (qPCR) methods targeting two promoter sequences (pNOS and pFMV) were developed. These methods were validated using acceptance parameters such as the specificity, sensitivity and repeatability. In addition, the methods were transferred to a second laboratory, namely the Institute for Health and Consumer Protection, to test the reproducibility. Furthermore, the applicability and practicability of the methods were tested by using proficiency test samples. The two methods allow a specific and sensitive detection of the targets in food and feed samples and can be used efficiently in different laboratories.

New qualitative trait-specific SYBR®Green qPCR methods to expand the panel of GMO screening methods used in the CoSYPS

AbstractSince 2011, a new Commission Regulation (EU/619/2011) defines that laboratories testing for genetically modified organisms (GMO) need to be able to detect also genetically modified (GM) events pending for authorisation. This, in addition to the fact that the number of GM events authorised in the European Union (EU) that need to be identified multiplies rapidly and that the detection of unauthorised GMO becomes more important, led to the development of a time and cost-effective screening approach. Moreover, the GM elements that are utilised in the transgenic inserts also become increasingly diverse. Consequently, the screening approaches have to be updated to enable full coverage and better discrimination of all these events. To respond to this need, two new qualitative SYBR®Green real-time PCR (qPCR) methods were developed and in-house validated: one method is element-specific and targets the Cry3Bb trait, and the other one is a construct-specific method detecting the gat-tpinII junction. Method acceptance parameters such as the sensitivity, specificity and repeatability were assessed as well as the robustness of the methods. Additionally, the reproducibility was evaluated by transferring the methods to a second laboratory. Both methods allow a specific, sensitive and repeatable detection of the respective targets in food and feed samples and can be easily applied in a routine laboratory. Moreover, they can be used together with previously validated SYBR®Green qPCR methods to expand the panel of screening methods. This allows an extended coverage of the GM events authorised in the EU and adds discriminative power to the screening phase.

Fast and discriminative CoSYPS detection system of viable Salmonella spp. and Listeria spp. in carcass swab samples

In this study, the complete CoSYPS Path Food workflow including all steps, namely swab sample enrichment, SYBR®Green qPCR detection of Salmonella spp. and Listeria spp., isolation and confirmation of the detected strain, was validated on beef carcass swabs. To perform the validation, the results of the complete workflow were compared, according to the ISO 16140:2003, with the ISO reference methods for detection, isolation and confirmation of Listeria monocytogenes and Salmonella spp. The results showed that the relative level of detection and the limit of detection of the complete workflow and ISO reference methods are in a range from 2 to 16 CFU/swab for both bacteria. The relative specificity, sensitivity and accuracy identified during this validation were all 100% since the results obtained with the complete CoSYPS Path Food workflow and the ISO reference methods were identical (Cohens kappa index=1.00). In addition the complete CoSYPS Path Food workflow is able to provide detection results (negative or presumptive positive) in half the time needed as for the ISO reference methods. These results demonstrate that the performance of the complete CoSYPS Path Food workflow is not only comparable to the ISO reference methods but also provides a faster response for the verification of beef carcasses before commercial distribution.

Genome Sequence of EU-Unauthorized Genetically Modified Bacillus subtilis Strain 2014-3557 Overproducing Riboflavin, Isolated from a Vitamin B2 80% Feed Additive

ABSTRACT This paper announces the genome sequence and annotation of the genetically modified (GM) Bacillus subtilis strain 2014-3557 overproducing riboflavin (vitamin B2). This GM-strain is unauthorized in the European Union. Nevertheless, it has been isolated from a lot of vitamin B2 (riboflavin) 80% feed grade imported to Europe from China.

Use of next generation sequencing data to develop a qPCR method for specific detection of EU-unauthorized genetically modified Bacillus subtilis overproducing riboflavin.

BackgroundRecently, the presence of an unauthorized genetically modified (GM) Bacillus subtilis bacterium overproducing vitamin B2 in a feed additive was notified by the Rapid Alert System for Food and Feed (RASFF). This has demonstrated that a contamination by a GM micro-organism (GMM) may occur in feed additives and has confronted for the first time,the enforcement laboratories with this type of RASFF. As no sequence information of this GMM nor any specific detection or identification method was available, Next GenerationSequencing (NGS) was used to generate sequence information. However, NGS data analysis often requires appropriate tools, involving bioinformatics expertise which is not alwayspresent in the average enforcement laboratory. This hampers the use of this technology to rapidly obtain critical sequence information in order to be able to develop a specific qPCRdetection method.MethodsData generated by NGS were exploited using a simple BLAST approach. A TaqMan® qPCR method was developed and tested on isolated bacterial strains and on the feed additive directly.ResultsIn this study, a very simple strategy based on the common BLAST tools that can be used by any enforcement lab without profound bioinformatics expertise, was successfully used toanalyse the B. subtilis data generated by NGS. The results were used to design and assess a new TaqMan® qPCR method, specifically detecting this GM vitamin B2 overproducing bacterium. The method complies with EU critical performance parameters for specificity, sensitivity, PCR efficiency and repeatability. The VitB2-UGM method also could detect the B. subtilis strain in genomic DNA extracted from the feed additive, without prior culturing step.ConclusionsThe proposed method, provides a crucial tool for specifically and rapidly identifying this unauthorized GM bacterium in food and feed additives by enforcement laboratories. Moreover, this work can be seen as a case study to substantiate how the use of NGS data can offer an added value to easily gain access to sequence information needed to develop qPCR methods to detect unknown andunauthorized GMO in food and feed.

Genome Sequence of the Salmonella enterica subsp. enterica Serovar Namur Strain 05-2929, Lacking the Salmonella Atypical Fimbrial Operon

ABSTRACT This paper announces the genome sequence and annotation of Salmonella enterica subsp. enterica serovar Namur strain 05-2929. S. Namur is a new serovar (39:z4,z23:−) that was isolated from a patient with salmonellosis in 2005 in Namur, Belgium, and has been identified as lacking the Salmonella atypical fimbrial (saf) operon.