%0 Journal Article %J Food Chemistry: Molecular Sciences %D 2024 %T Pilot market surveillance of GMM contaminations in alpha-amylase food enzyme products: A detection strategy strengthened by a newly developed qPCR method targeting a GM Bacillus licheniformis producing alpha-amylase %A Marie-Alice Fraiture %A Andrea Gobbo %A Chloé Guillitte %A Ugo Marchesi %A Daniela Verginelli %A Joke De Greve %A Jolien D'aes %A Kevin Vanneste %A N. Papazova %A Nancy Roosens %B Food Chemistry: Molecular Sciences %V 8 %8 Jan-07-2024 %G eng %R 10.1016/j.fochms.2023.100186 %0 Journal Article %J Fermentation %D 2023 %T Development of a taxon-specific real-time polymerase chain reaction method to detect Trichoderma reesei contaminations in fermentation products. Fermentation, 9 (11), 926 %A Marie-Alice Fraiture %A Andrea Gobbo %A N. Papazova %A Nancy Roosens %K food control; fungal fermentation products; real-time PCR; detection; Trichoderma reesei %X

Recently, a genetically modified microorganism (GMM) detection strategy using real-time PCR technology was developed to control fermentation products commercialized in the food and feed chain, allowing several unexpected GMM contaminations to be highlighted. Currently, only bacterial strains are targeted by this strategy. Given that fungal strains, like Trichoderma reesei, are also frequently used by the food industry to produce fermentation products, a novel real-time PCR method specific to this fungal species was developed and validated in this study to reinforce the GMM detection strategy. Designed to cover a sequence of 130 bp from the translation elongation factor alpha 1 (Tef1) gene of T. reesei, this real-time PCR method, namely TR, allows for the screening of commercial fermentation products contaminated with T. reesei, genetically modified or not, which is one of the major fungal species used as an industrial platform for the manufacturing of fermentation products. The developed real-time PCR TR method was assessed as specific and sensitive (LOD95% = eight copies). In addition, the developed real-time PCR TR method performance was confirmed to be in line with the “Minimum Performance Requirements for Analytical Methods of GMO Testing” of the European Network of GMO Laboratories. The validated real-time PCR TR method was also demonstrated to be applicable to commercial microbial fermentation products. Based on all these results, the novel real-time PCR TR method was assessed as valuable for strengthening the current GMM detection strategy regarding major fungal species used by the food industry to produce microbial fermentation products.

%B Fermentation %V 9 %G eng %& 926 %R https://doi.org/10.3390/fermentation9110926 %0 Journal Article %J Fermentation %D 2023 %T Development of a Taxon-Specific Real-Time Polymerase Chain Reaction Method to Detect Trichoderma reesei Contaminations in Fermentation Products %A Marie-Alice Fraiture %A Andrea Gobbo %A N. Papazova %A Nancy Roosens %X

Recently, a genetically modified microorganism (GMM) detection strategy using real-time
PCR technology was developed to control fermentation products commercialized in the food and feed
chain, allowing several unexpected GMM contaminations to be highlighted. Currently, only bacterial
strains are targeted by this strategy. Given that fungal strains, like Trichoderma reesei, are also frequently
used by the food industry to produce fermentation products, a novel real-time PCR method specific to
this fungal species was developed and validated in this study to reinforce the GMM detection strategy.
Designed to cover a sequence of 130 bp from the translation elongation factor alpha 1 (Tef1) gene of
T. reesei, this real-time PCR method, namely TR, allows for the screening of commercial fermentation
products contaminated with T. reesei, genetically modified or not, which is one of the major fungal
species used as an industrial platform for the manufacturing of fermentation products. The developed
real-time PCR TR method was assessed as specific and sensitive (LOD95% = eight copies). In addition,
the developed real-time PCR TR method performance was confirmed to be in line with the “Minimum
Performance Requirements for Analytical Methods of GMO Testing” of the European Network of
GMO Laboratories. The validated real-time PCR TR method was also demonstrated to be applicable
to commercial microbial fermentation products. Based on all these results, the novel real-time PCR
TR method was assessed as valuable for strengthening the current GMM detection strategy regarding
major fungal species used by the food industry to produce microbial fermentation products.

%B Fermentation %V 9 %8 Jan-11-2023 %G eng %N 11 %& 926 %R 10.3390/fermentation9110926 %0 Journal Article %J Fermentation %D 2023 %T Development of a Taxon-Specific Real-Time Polymerase Chain Reaction Method to Detect Trichoderma reesei Contaminations in Fermentation Products %A Marie-Alice Fraiture %A Andrea Gobbo %A N. Papazova %A Nancy Roosens %B Fermentation %V 9 %8 Jan-11-2023 %G eng %N 11 %R 10.3390/fermentation9110926 %0 Generic %D 2023 %T A new open strategy for impurity surveillance of commercial microbial fermentation food products %A Marie-Alice Fraiture %A Nancy Roosens %A N. Papazova %A Sigrid C.J. De Keersmaecker %A Kevin Vanneste %A Rik Orval %A Yari Van Laere %A Frédéric Debode %A Marc De Loose %A Christof Van Poucke %A Nathalie Gillard %I 27th Conference on Food Microbiology - BSFM %C Brussels, Belgium %G eng %0 Journal Article %J Food Chemistry: Molecular Sciences %D 2022 %T Detection and identification of authorized and unauthorized GMOs using high-throughput sequencing with the support of a sequence-based GMO database %A Assia Saltykova %A Julien Van Braekel %A N. Papazova %A Marie-Alice Fraiture %A Deforce, Dieter %A Kevin Vanneste %A Sigrid C.J. De Keersmaecker %A Nancy Roosens %B Food Chemistry: Molecular Sciences %V 4 %8 Jan-07-2022 %G eng %R 10.1016/j.fochms.2022.100096 %0 Journal Article %J Fermentation %D 2022 %T Development of a taxon-specific real-time PCR method targeting the Bacillus subtilis group to strengthen the control of genetically modified bacteria in fermentation products %A Marie-Alice Fraiture %A Andrea Gobbo %A N. Papazova %A Nancy Roosens %K additives and flavorings %K Bacillus subtilis group %K Enzymes %K food and feed safety concerns %K real-time PCR detection %K Unauthorized genetically modified microorganisms %X

Most of the bacteria that are used to produce fermentation products, such as enzymes, additives and flavorings, belong to the Bacillus subtilis group. Recently, unexpected contaminations with unauthorized genetically modified (GM) bacteria (viable cells and associated DNA) that were carrying antimicrobial resistance (AMR) genes was noticed in several microbial fermentation products that have been commercialized on the food and feed market. These contaminations consisted of GM Bacillus species belonging to the B. subtilis group. In order to screen for the potential presence of such contaminations, in this study we have developed a new real-time PCR method targeting the B. subtilis group, including B. subtilisB. licheniformisB. amyloliquefaciens and B. velezensis. The method’s performance was successfully assessed as specific and sensitive, complying with the Minimum Performance Requirements for Analytical Methods of GMO Testing that is used as a standard by the GMO enforcement laboratories. The method’s applicability was also tested on 25 commercial microbial fermentation products. In addition, this method was developed to be compatible with the PCR-based strategy that was recently developed for the detection of unauthorized GM bacteria. This taxon-specific method allows the strengthening of the set of screening markers that are targeting key sequences that are frequently found in GM bacteria (AMR genes and shuttle vector), reinforcing control over the food and feed chain in order to guarantee its safety and traceability.

%B Fermentation %V 8 %8 2022 %G eng %N 2 %& 78 %R https://doi.org/10.3390/fermentation8020078 %0 Generic %D 2022 %T A shotgun metagenomics approach to detect and characterize unauthorized genetically modified microorganisms in microbial fermentation products %A Florence E Buytaers %A Marie-Alice Fraiture %A Bas Berbers %A Els Vandermassen %A Stefan Hoffman %A N. Papazova %A Kevin Vanneste %A Kathleen Marchal %A Nancy Roosens %A Sigrid C.J. De Keersmaecker %B ONE Conference 2022 %8 21/06/2022 %G eng %N EFSA %0 Journal Article %J International Journal of Food Microbiology %D 2021 %T Development of a real-time PCR marker targeting a new unauthorized genetically modified microorganism producing protease identified by DNA walking. %A Marie-Alice Fraiture %A U Marchesi %A D Verginelli %A N. Papazova %A Nancy Roosens %B International Journal of Food Microbiology %V 354 %8 2021 %G eng %& 109330 %R https://doi.org/10.1016/j.ijfoodmicro.2021.109330 %0 Journal Article %J International Journal of Food Microbiology %D 2021 %T Development of a real-time PCR marker targeting a new unauthorized genetically modified microorganism producing protease identified by DNA walking %A Marie-Alice Fraiture %A Andrea Gobbo %A Ugo Marchesi %A Daniela Verginelli %A N. Papazova %A Nancy Roosens %K Antimicrobial resistance genes %K DNA walking anchored on pUB110 %K food and feed safety %K Genetically modified bacteria %K Protease %K real-time PCR detection %X

A PCR-based DNA walking analysis was performed on a protease product suspected to contain a new unauthorized genetically modified microorganism (GMM). Though the characterization of unnatural associations of sequences between the pUB110 shuttle vector and a Bacillus amyloliquefaciens gene coding for a protease, the presence of the GMM was shown. Based on these sequences of interest, a real-time PCR marker was developed to target specifically the newly discovered GMM, namely GMM protease2. The performance of the real-time PCR marker was assessed in terms of specificity and sensitivity. The applicability of the real-time PCR GMM protease2 marker was also demonstrated on microbial fermentation products. To confirm its use by other GMO enforcement laboratories, the transferability of the in-house validated real-time PCR marker was demonstrated by assays performed by an external laboratory.

%B International Journal of Food Microbiology %V 354 %8 2021 %G eng %& 109330 %R https://doi.org/10.1016/j.ijfoodmicro.2021.109330 %0 Journal Article %J Food Control %D 2021 %T Retrospective survey of unauthorized genetically modified bacteria harbouring antimicrobial resistance genes in feed additive vitamin B2 commercialized in Belgium: Challenges and solutions %A Marie-Alice Fraiture %A Laure Joly %A Els Vandermassen %A Delvoye, Maud %A D. Van Geel %A Jean-Yves Michelet %A Els Van Hoeck %A Nathalie De Jaeger %A N. Papazova %A Nancy Roosens %K Antimicrobial resistance genes %K Feed additive vitamin B2 %K food and feed safety %K survey %K Unauthorized genetically modified microorganisms %X

In Belgium, an official control plan was established in 2016 to detect the potential presence of an unauthorized genetically modified (GM) Bacillus subtilis RASFF2014.1249 strain in commercialized feed additive vitamin B2 products. To this end, two real-time PCR markers specific to this unauthorized genetically modified microorganism (GMM), named UGMVit-B2 and 558, were used. In the present study, the first four-year results from 67 feed additive vitamin B2 samples from the official control are presented. It includes 5 samples positive for real-time PCR methods specific to the unauthorized GM B. subtilis RASFF2014.1249 strain and has led to the RASFF2018.2755 and RASFF2019.3216 notifications. Moreover, a retrospective study using the same feed additive vitamin B2 samples was performed, allowing to provide a first picture of GM bacterial contaminations. It consisted in a first-line screening strategy gathering available PCR-based methods targeting both the B. subtilis species, frequently used to produce vitamin B2, and a set of antimicrobial resistance (AMR) genes commonly harboured as selection marker by GM bacteria used to produce microbial fermentation products. On this basis, suspicious samples contaminated with additional unknown GM bacterial strains as well as potential health and environmental risks related to the unexpected presence of full-length AMR genes could be highlighted. In addition, the possible complementary use of additional data, like chloramphenicol presence and DNA concentration, as indicators for GMM contaminations was assessed. Based on results generated in the present study, the relevance to use the proposed first-line screening strategy supplemented by indicators in order to strengthen the current control strategy was emphasized.

%B Food Control %V 119 %8 Jan-01-2021 %G eng %R 10.1016/j.foodcont.2020.107476 %0 Journal Article %J Food Chemistry: Molecular Sciences %D 2021 %T A shotgun metagenomics approach to detect and characterize unauthorized genetically modified microorganisms in microbial fermentation products %A Florence E Buytaers %A Marie-Alice Fraiture %A Bas Berbers %A Els Vandermassen %A Stefan Hoffman %A N. Papazova %A Kevin Vanneste %A Marchal, Kathleen %A Nancy Roosens %A Sigrid C.J. De Keersmaecker %K AMR %K genetically modified microorganism %K identification %K long and short read sequencing %K microbial fermentation products %K shotgun metagenomics %X

The presence of a genetically modified microorganism (GMM) or its DNA, often harboring antimicrobial resis- tance (AMR) genes, in microbial fermentation products on the market is prohibited by European regulations. GMMs are currently screened for through qPCR assays targeting AMR genes and vectors, and then confirmed by targeting known specific GM constructs/events. However, when the GMM was not previously characterized and an isolate cannot be obtained, its presence cannot be proven. We present a metagenomics approach cap- able of delivering the proof of presence of a GMM in a microbial fermentation product, with characterization based on the detection of AMR genes and vectors, species and unnatural associations in the GMM genome. In our proof‐of‐concept study, this approach was performed on a case with a previously isolated and sequenced GMM, an unresolved case for which no isolate was obtained, and a non‐GMM‐contaminated sample, all repre- sentative for the possible scenarios to occur in routine setting. Both short and long read sequencing were used. This workflow paves the way for a strategy to detect and characterize unknown GMMs by enforcement laboratories.
 

%B Food Chemistry: Molecular Sciences %V 2 %8 Jan-07-2021 %G eng %R 10.1016/j.fochms.2021.100023 %0 Journal Article %J Food Control %D 2020 %T Detection strategy targeting a chloramphenicol resistance gene from genetically modified bacteria in food and feed products %A Marie-Alice Fraiture %A Marie Deckers %A N. Papazova %A Nancy Roosens %K Chloramphenicol resistance gene %K Food and feed microbial fermentation products %K Genetically modified microorganisms %K PCR-Based detection %X

Genetically modified microorganisms (GMM), harbouring commonly antimicrobial resistance (AMR) genes as selection markers, are frequently used to produce food and feed enzymes, additives and flavourings. Such commercialized microbial fermentation products should not contain GMM, or associated recombinant DNA. Although the use of AMR genes gives rise to public health and environmental concerns regarding their potential acquisitions by pathogens and gut microbiota, no method targeting AMR genes harboured by such GMM is currently available for the enforcement laboratories. In reason of the increasing interest of the competent authorities to be able to assess the potential risks related to the presence of these AMR genes in microbial fermentation products, we propose therefore for the first time a PCR-based strategy easily implementable in enforcement laboratories. This strategy targets a chloramphenicol resistance gene, highlighted by the patent analysis performed in this study as being harboured by a noteworthy part of GMM producing microbial fermentation products from the food and feed industry. First, the potential presence of the AMR gene is detected by real-time PCR. Next, its full-length is evaluated by a nested-PCR amplifying a large fragment of its sequence to determine the risks of likely AMR gene acquisition. This strategy allows thus to support the competent authorities regarding the measures to be taken in case of unexpected DNA contaminations from such GMM in commercialized microbial fermentation products.

%B Food Control %V 108 %8 Jan-02-2020 %G eng %R 10.1016/j.foodcont.2019.106873 %0 Book %D 2020 %T Food Chemistry, Function and AnalysisDNA Techniques to Verify Food Authenticity CHAPTER 8. GMO Detection and Identification Using Next-generation Sequencing %A Marie-Alice Fraiture %A N. Papazova %A Kevin Vanneste %A Sigrid C.J. De Keersmaecker %A Nancy Roosens %K GMO Detection and Identification Using Next-generation %X

ext-generation sequencing (NGS) technologies are being increasingly evaluated for their feasibility in supporting the current genetically modified organism (GMO) routine detection systems for unauthorized GMO. Depending upon the specific samples under investigation, two categories of NGS approaches can be applied. The whole-genome sequencing approach, on the one hand, requires no prior knowledge, and is suitable for the characterization of samples containing an isolated single GMO. The targeted approach, on the other hand, requires upstream enrichment of a priori known sequences of interest, and allows simultaneous identification of several GMOs, even when present at low concentrations. The application of these NGS approaches to biotech organisms created by genome editing techniques, which are currently not included in the scope of European Union (EU) legislation, is also discussed.

%I Royal Society of Chemistry %C Cambridge %P 96 - 106 %8 2020 %@ 978-1-78801-178-5 %G eng %R 10.1039/9781788016025-00096 %0 Journal Article %J Sci Rep %D 2020 %T Identification of an unauthorized genetically modified bacteria in food enzyme through whole-genome sequencing. %A Marie-Alice Fraiture %A Bert Bogaerts %A Raf Winand %A Marie Deckers %A N. Papazova %A Kevin Vanneste %A Sigrid C.J. De Keersmaecker %A Nancy Roosens %K Drug Resistance, Bacterial %K Food Microbiology %K Genetic Vectors %K Microorganisms, Genetically-Modified %K Peptide Hydrolases %K whole genome sequencing %X

Recently, the unexpected presence of a viable unauthorized genetically modified bacterium in a commercialized food enzyme (protease) product originating from a microbial fermentation process has been notified at the European level (RASFF 2019.3332). This finding was made possible thanks to the use of the next-generation sequencing technology, as reported in this study. Whole-genome sequencing was used to characterize the genetic modification comprising a sequence from the pUB110 shuttle vector (GenBank: M19465.1), harbouring antimicrobial resistance genes conferring a resistance to kanamycine, neomycin and bleomycin, flanked on each side by a sequence coding for a protease (GenBank: WP_032874795.1). In addition, based on these data, two real-time PCR methods, that can be used by enforcement laboratories, specific to this unauthorized genetically modified bacterium were developed and validated. The present study emphasizes the key role that whole-genome sequencing can take for detection of unknown and unauthorized genetically modified microorganisms in commercialized microbial fermentation products intended for the food and feed chain. Moreover, current issues encountered by the Competent Authorities and enforcement laboratories with such unexpected contaminations and the importance of performing official controls were highlighted.

%B Sci Rep %V 10 %8 2020 04 27 %G eng %N 1 %R 10.1038/s41598-020-63987-5 %0 Journal Article %J Scientific reports %D 2019 %T MinION sequencing technology to characterize unauthorized GM petunia plants circulating on the European Union market %A Marie-Alice Fraiture %A Gabriella Ujhelyi %A Jaroslava Ovesna %A D. Van Geel %A Sigrid C.J. De Keersmaecker %A Assia Saltykova %A N. Papazova %A Nancy Roosens %K amplicon sequencing %K detection %K DNA walking %K GM petunia %K Oxford Nanopore Technologies %K Real-time PCR %X

In order to characterize unauthorized genetically modified petunia, an integrated strategy has been applied here on several suspected petunia samples from the European market. More precisely, DNA fragments of interest were produced by DNA walking anchored on key targets, earlier detected by real-time PCR screening analysis, to be subsequently sequenced using the MinION platform from Oxford Nanopore Technologies. This way, the presence of genetically modified petunia was demonstrated via the characterization of their transgene flanking regions as well as unnatural associations of elements from their transgenic cassette.

%B Scientific reports %V 9 %G eng %N 7141 %R https://doi.org/10.1038/s41598-019-43463-5 %0 Report %D 2019 %T SPECENZYM : A project to study the purity of food enzymes %A Marie Deckers %A Kevin Vanneste %A Sarah Denayer %A Sigrid C.J. De Keersmaecker %A M Heyndrickx %A M De Loose %A G Berben %A F Debode %A N. Papazova %A P Fox %A Laure Joly %A Ann Ruttens %A Karlien Cheyns %A Bart Huybrechts %A Emmanuel Tangni %A Didier Breyer %A D Deforce %A Marie-Alice Fraiture %A Nancy Roosens %8 2019 %G eng %0 Journal Article %J Food Chemistry %D 2017 %T An integrated strategy combining DNA walking and NGS to detect GMO %A Marie-Alice Fraiture %A Philippe Herman %A N. Papazova %A De Loose, Marc %A Deforce, Dieter %A Ruttink, Tom %A Nancy Roosens %K detection %K DNA walking %K GMO %K Next-generation sequencing %K qPCR %X

Recently, we developed a DNA walking system for the detection and characterization of a broad spectrum of GMOs in routine analysis of food/feed matrices. Here, we present a new version with improved throughput and sensitivity by coupling the DNA walking system to Pacific Bioscience® Next-generation sequencing technology. The performance of the new strategy was thoroughly assessed through several assays. First, we tested its detection and identification capability on grains with high or low GMO content. Second, the potential impacts of food processing were investigated using rice noodle samples. Finally, GMO mixtures and a real-life sample were analyzed to illustrate the applicability of the proposed strategy in routine GMO analysis. In all tested samples, the presence of multiple GMOs was unambiguously proven by the characterization of transgene flanking regions and the combinations of elements that are typical for transgene constructs.

%B Food Chemistry %V 232 %8 18/03/2017 %G eng %& 351 %R https://doi.org/10.1016/j.foodchem.2017.03.067 %0 Journal Article %J Anal Chem %D 2017 %T Model-Based Classification for Digital PCR: Your Umbrella for Rain. %A Jacobs, Bart K M %A Goetghebeur, Els %A Vandesompele, Jo %A De Ganck, Ariane %A Nijs, Nele %A Beckers, Anneleen %A N. Papazova %A Nancy Roosens %A Clement, Lieven %X

Standard data analysis pipelines for digital PCR estimate the concentration of a target nucleic acid by digitizing the end-point fluorescence of the parallel micro-PCR reactions, using an automated hard threshold. While it is known that misclassification has a major impact on the concentration estimate and substantially reduces accuracy, the uncertainty of this classification is typically ignored. We introduce a model-based clustering method to estimate the probability that the target is present (absent) in a partition conditional on its observed fluorescence and the distributional shape in no-template control samples. This methodology acknowledges the inherent uncertainty of the classification and provides a natural measure of precision, both at individual partition level and at the level of the global concentration. We illustrate our method on genetically modified organism, inhibition, dynamic range, and mutation detection experiments. We show that our method provides concentration estimates of similar accuracy or better than the current standard, along with a more realistic measure of precision. The individual partition probabilities and diagnostic density plots further allow for some quality control. An R implementation of our method, called Umbrella, is available, providing a more objective and automated data analysis procedure for absolute dPCR quantification.

%B Anal Chem %V 89 %P 4461-4467 %8 2017 Apr 18 %G eng %N 8 %1 http://www.ncbi.nlm.nih.gov/pubmed/28350455?dopt=Abstract %R 10.1021/acs.analchem.6b04208 %0 Report %D 2016 %T Annual report of the GMOLAB concerning the validation dossiers for identification of genetically modified organisms (GMO) %A N. Papazova %A Els Vandermassen %A Delvoye,M. %A D. Van Geel %A L. Lefèvre %A Van Duppen,J. %A Sylvia Broeders %A Nancy Roosens %A Sophie Carbonnelle %A Anne-Marie Vanherle %K annual report %K genetically %K Genetically modified %K Genetically modified organism %K Genetically modified organisms %K GMO %K GMOlab %K identification %K report %K VALIDATION %I WIV-ISP %C Brussels, Belgium %P 23 %8 29/8/2016 %@ D/2016/2505/32 %G eng %1 5286 %& 1 %0 Government Document %D 2016 %T Whole genome sequencing to help enforcement laboratories for the development of detection method for an EU-unauthorized genetically modified Bacillus subtilis overproducing riboflavin %A Sigrid C.J. De Keersmaecker %A N. Papazova %A Nancy Roosens %K abstract %K an %K Bacillus %K Bacillus subtilis %K detection %K detection method %K Development %K genetically %K Genetically modified %K Genome %K GMO %K GMO detection %K Help %K Laboratories %K method %K riboflavin %K WGS %K whole genome %K whole genome sequencing %X no abstract %B LabInfo %V 15 %P 29 - 31 %8 16/7/2016 %G eng %N Jul-16 %1 5282 %& 29 %0 Generic %D 2015 %T Progress Report Advisory Group on Selection of Methods for Validation %A N. Papazova %K ENGL %K Group %K meeting %K method %K methods %K ON %K progress report %K report %K Selection %K VALIDATION %B 24th ENGL Plenary Meeting %I NA %C NA %8 22/9/2015 %G eng %N JRC-IHCP %1 5231 %2 22/09/2015 %0 Government Document %D 2015 %T UGM characterization using DNA walking strategy %A Marie-Alice Fraiture %A Philippe Herman %A N. Papazova %A Nancy Roosens %K abstract %K Dna %K DNA walking %K Strategies %K Strategy %K UGM %K walking %X No abstract %B LabInfo %V 14 %P 32 - 34 %8 14/12/2015 %G eng %1 5265 %& 32 %0 Generic %D 2015 %T Use of ddPCR for preparation of in house controls for GMO screening %A N. Papazova %K Communication %K Control %K ddCPR %K GMO %K GMO screening %K Group %K SCREENING %K use %B NRL-GMO Communication group %I NA %C NA %8 24/11/2015 %G eng %N NRL-GMO/FAVV %1 5232 %2 24/11/2015 %0 Report %D 2014 %T Annual report of the GMO lab concerning the validation dossiers for identification of Genetically Modified Organisms (GMO): period 01/09/2013-30/08/2014. %A N. Papazova %A Sylvia Broeders %A Els Vandermassen %A Delvoye,M. %A D. Van Geel %A Sciacqua,M. %A Nancy Roosens %A Anne-Marie Vanherle %K annual report %K genetically %K Genetically modified %K Genetically modified organism %K Genetically modified organisms %K GMO %K identification %K period %K report %K VALIDATION %I WIV-ISP %C Brussels, Belgium %P 13 %8 0/0/2014 %@ D/2014/2505/41 %G eng %1 38831 %& 1 %0 Government Document %D 2014 %T Belgian NRL-GMO inter-laboratory testing of combinatory sybr®green pcr screening (CoSYPS)4860 %A N. Papazova %A Sylvia Broeders %A Nancy Roosens %A Jansens,E. %A Berben,G. %A Isabel Taverniers %A M. De Loose %K / %K Belgian %K combinatory %K CoSYPS %K PCR %K SCREENING %K TESTING %X / %B LabInfo %V 12 %P 32 - 35 %8 0/7/2014 %G eng %1 38830 %& 32 %0 Generic %D 2014 %T CoSYPS GMO Detection Software: Decision Support System for GMO screening and identification %A N. Papazova %K Communication %K CoSYPS %K Decision %K detection %K GMO %K GMO detection %K GMO screening %K SCREENING %K SOFTWARE %K System %B NRL-GMO Communication group %I NA %C NA %8 0/0/2014 %G eng %N NRL-GMO/FAVV %1 38832 %2 27/11/2014 %0 Report %D 2013 %T Annual report of the GMO lab concerning the validation dossiers for identification of Genetically Modified Organisms (GMO) %A N. Papazova %A Sylvia Broeders %A Els Vandermassen %A Delvoye,M. %A D. Van Geel %A M Demarteau %A Nancy Roosens %A Anne-Marie Vanherle %K annual report %K genetically %K Genetically modified %K Genetically modified organism %K Genetically modified organisms %K GMO %K identification %K report %K VALIDATION %I WIV-ISP, PBB %C Brussels, Belgium %P 46 %8 0/0/2013 %@ D/2013/2505/28 %G eng %1 451 %& 1 %0 Generic %D 2013 %T DNA extraction from ideal to difficult matrices by means of CTAB-based protocols and Wurz method %A N. Papazova %K CTAB %K Dna %K means %K method %K protocol %K Workshop %K Wurz-method %B NRL-GMO Practical workshop %I NA %C NA %8 6/6/2013 %G eng %N =NRL-GGO/FAVV %1 38828 %2 06/06/2013 %0 Government Document %D 2013 %T GMOlab: activities and networking %A N. Papazova %K Activity %K GMOlab %K WIV-ISP %B NA %I NA %C NA %8 24/9/2013 %G eng %1 38829 %0 Government Document %D 2013 %T GMOlab: networking %A N. Papazova %E WIV-ISP %K GMOlab %8 14/5/2013 %G eng %1 462 %0 Government Document %D 2013 %T Harmonised approaches for validation of methods for GMO detection in the NRL according to the last EU guidelines445 %A N. Papazova %A Nancy Roosens %A Isabel Taverniers %A M. De Loose %K / %K approach %K approaches %K detection %K EU %K GMO %K GMO detection %K Guidelines %K method %K methods %K VALIDATION %X / %B LabInfo %V 10 %P 13 - 17 %8 0/0/2013 %G eng %N juil-13 %1 38825 %& 13 %0 Book %B Polymerase Chain Reaction %D 2012 %T Development of a molecular platform for GMO detection in food and feed on the basis of "combinatory qPCR" technology4843 %A Sylvia Broeders %A N. Papazova %A Marc Van den Bulcke %A Nancy Roosens %E Patricia Hernandez-Gomez %K a %K detection %K Development %K feed %K food %K GMO %K GMO detection %K Molecular %K ON %K polymerase chain reaction %K technology %B Polymerase Chain Reaction %7 566 %I =InTech %C Janeza Trdine 9, 51000 Rijeka, Croatia %P 566 %8 30/5/2012 %@ ISBN 978-953-51-0612-8 %G eng %N 18 %1 4843 %& 363 %R DOI: 10.5772/37898 %0 Book %B Genetically Modified and Non-Genetically Modified Food Supply Chains. Co-existence and traceability. %D 2012 %T Harmonised reference genes and PCR assays for GMO quantification.452 %A Isabel Taverniers %A N. Papazova %A Allnut,T. %A Baulmer,S. %A Esteve,T. %A Freyer,R. %A Kristina Gruden %A Kuznetzov,B. %A L. Lapaz %A Nadal,A. %A Pla,M. %A J. Vodjvoda %A Wulff,D. %A Zhang,D. %E Bertheau,Y. %K co-existence %K coexistence %K food %K Food Supply %K gene %K Genes %K genetically %K Genetically modified %K GMO %K GMO quantification %K PCR %K Quantification %K traceability %B Genetically Modified and Non-Genetically Modified Food Supply Chains. Co-existence and traceability. %7 / %I Wiley-Blackwell %C ="UK" %P / %8 0/0/2012 %@ 987-1-4443-37778-5 %G eng %N 4 %1 38886 %& 273 %R not available %0 Book %B Genetically Modified and Non-Genetically Modified Food Supply Chains. Co-existence and traceability. %D 2012 %T The modular approach in GMO quality control and enforcement support systems.453 %A Marc Van den Bulcke %A Bellocchi,G. %A Berben,G. %A Burns,M. %A Kankar,K. %A De Giacomo,M. %A Kristina Gruden %A Holst-Jensen,A. %A Malcewsky,A. %A Mazzara,M. %A Onori,R. %A N. Papazova %A Parlouer,E %A Isabel Taverniers %A Trapmann,S. %A Wulff,D. %A Zhang,D. %E Bertheau,Y. %K approach %K approaches %K co-existence %K coexistence %K Control %K food %K Food Supply %K genetically %K Genetically modified %K GMO %K modular %K Quality %K Quality Control %K System %K Systems %K traceability %B Genetically Modified and Non-Genetically Modified Food Supply Chains. Co-existence and traceability. %7 / %I Wiley-Blackwell %C ="UK" %P / %8 0/0/2012 %@ 987-1-4443-37778-5 %G eng %N 4 %1 39015 %& 293 %R not availabel %0 Government Document %D 2012 %T NRL-GMO: GMOSeek research project (2009 - 2011) for GMO detection361 %A Sylvia Broeders %A E. Barbau-Piednoir %A G.E. Mbongolo-Mbella %A N. Papazova %A Pouppez,A. %A Nancy Roosens %A Isabel Taverniers %A M. De Loose %A Frédéric Debode %A Berben,G. %A Eric Janssen %K 2009 %K abstract %K detection %K GMO %K GMO detection %K GMOseek %K Project %K Research %X no abstract %B LabInfo %V January 2012 %P 24 - 27 %8 0/0/2012 %G eng %1 38537 %& 24 %0 Report %D 2012 %T Rapport annuel du GMOLAB concernant les dossiers de validation pour l'identification des organismes génétiquement modifiés %A N. Papazova %A Sylvia Broeders %A Els Vandermassen %A D. Van Geel %A De Pril,S. %A M Demarteau %A Nancy Roosens %A Sciacqua,M. %A Anne-Marie Vanherle %K de %K GMOlab %K LE %K rapport %K rapport annuel %K VALIDATION %I WIV-ISP, PBB %C Brussels, Belgium %P 89 %8 0/0/2012 %G eng %1 426 %0 Book %B Genetically Modified and Non-Genetically Modified Food Supply Chains. Co-existence and traceability. %D 2012 %T Towards detection of unknown GMOs.454 %A Holst-Jensen,A. %A Berdal,K. %A Bohanec,M. %A Bohlin,J. %A Chaouachi,M. %A Kristina Gruden %A Hamels,S. %A E. Kok %A Kerch,A. %A Kristoffersen,A.B. %A Laval,V. %A Leimanis,S. %A Lovoll,M. %A Morisset,D. %A Nemeth,A. %A N. Papazova %A Prins,T. %A J. Emacle %A P. Ichl %A T. Uttink %A Isabel Taverniers %A Tengs,T. %A van Dijk,J.P. %A Wulff,D. %A Jana Zel %A Zhang,H. %A M. Znidarsic %E Bertheau,Y. %K co-existence %K coexistence %K detection %K food %K Food Supply %K genetically %K Genetically modified %K GMO %K GMOs %K Non-GMO food %K traceability %B Genetically Modified and Non-Genetically Modified Food Supply Chains. Co-existence and traceability. %7 / %I Wiley-Blackwell %C ="UK" %P / %8 0/0/2012 %@ 987-1-4443-37778-5 %G eng %N 4 %1 38762 %& 367 %R not available %0 Conference Proceedings %D 2012 %T WIV-ISP Scientific report 2010-2011: Practical issues related to the implementation of the recently adopted EU regulation on "Low Level Presence" of GMOs %A N. Papazova %A De Pril,S. %A M Demarteau %A Els Vandermassen %A D. Van Geel %A Sylvia Broeders %A Nancy Roosens %K EU %K GMO %K GMOs %K implementation %K LEVEL %K ON %K p %K regulation %K report %K WIV-ISP %I WIV-ISP, PBB %C Brussels, Belgium %8 0/0/2012 %G eng %1 425 %0 Report %D 2011 %T Rapport annuel 2010-2011 du GMOlab concernant les dossiers de validation pour l'identification des organismes génétiquement modifiés %A N. Papazova %A Sylvia Broeders %A G.E. Mbongolo-Mbella %A Els Vandermassen %A De Mets,F. %A Nancy Roosens %A Sciacqua,M. %A Anne-Marie Vanherle %A Draguet,V. %K de %K GMOlab %K LE %K OGM identification %K qPCR %K rapport %K rapport annuel %K TaqMan(r) %K VALIDATION %I WIV-ISP; PBB %C Brussels, Belgium %P 13 %8 0/0/2011 %@ D/2011/2505/32 %G eng %1 38824 %0 Report %D 2011 %T Rapport annuel du GMOlab concernant les dossiers de validation pour la quantification des organismes génétiquement modifiés. %A N. Papazova %A Sylvia Broeders %A Els Vandermassen %A Nancy Roosens %A Sciacqua,M. %A Anne-Marie Vanherle %K analysis %K de %K feed %K food %K GMO %K GMOlab %K LE %K qPCR %K Quantification %K rapport %K rapport annuel %K VALIDATION %I WIV-ISP; PBB %C Brussels, Belgium %P 11 %8 0/0/2011 %@ ISSN D/2011/2505/33 %G eng %1 38823 %0 Conference Proceedings %D 2011 %T SAFEFOODERA: Nouvelles méthodes de detection des OGM %A Sylvia Broeders %A E. Barbau-Piednoir %A G.E. Mbongolo-Mbella %A N. Papazova %A Pouppez,A. %A Nancy Roosens %K de %K detection %K GMO %K OGM %K qPCR %K SYBR(r)Green %K WIV-ISP %I WIV-ISP %C Brussels, Belgium %P 131 - 133 %8 0/0/2011 %@ (NL) D/2011/2505/12 and (FR) D/2011/2505/13 %G eng %1 38536 %& 131 %0 Generic %D 2010 %T New GMO events on the regulation and commercialization pipeline: challenges for the GMO detection %A N. Papazova %E WIV-ISP %K challenge %K CHALLENGES %K Commercialization %K detection %K GMO %K GMO detection %B Workshop NRL-GMO %8 10/6/2010 %G eng %N =IPH %1 405 %2 10/06/2010 %0 Generic %D 2009 %T Modular Approach Implemented: Pros, Cons and Future Perspectives %A Marc Van den Bulcke %A Bellocchi,G. %A Berben,G. %A Burns,M. %A Cankar,K. %A De Giacomo,M. %A Kristina Gruden %A Holst-Jensen,A. %A Malcewsky,A. %A Mazzara,M. %A Onori,R. %A N. Papazova %A Parlouer,E %A Isabel Taverniers %A Wulff,D. %A Zhang,D. %K approach %K approaches %K Co-Extra %K Congresses %K future %K International %K modular %B Co-extra International Congress %I NA %C NA %8 3/6/2009 %G eng %N Co-extra International Congress %1 377 %2 03/06/2009 %0 Book %B Towards a safer food supply in Europe %D 2007 %T Challenges for future research in GMO detection %A Berben,G. %A F. Debode %A M. De Loose %A E. Janssen %A N. Papazova %A Myriam Sneyers %A I. Taverniers %A Amaya Leunda %A Adinda De Schrijver %A Marc Van den Bulcke %E C.Van Peteghem %K event-specific identification %K fingerprinting %K GMO characterization %K Method validation %K qualitative PCR %K QUALITY ASSURANCE %K Quantitative real-time PCR %K SCREENING %X This article reviews several research challenges for GMO detection as some pending questions still exist and need more research efforts to be solved. The question of how to apply validation in a modular scheme is handled. It is followed by the problem of how to manage the detection of an always increasing number of new events and the fact that in such a context screening will probably be more and more important. The issue of detection of unauthorized GMOs with special attention to unknown GMOs is considered. Some technical limitations in result expression with respect to botanical impurities or stacked events are also addressed. Finally the establishment of plasmid reference calibrants as alternative to the current plant-derived certified reference materials, their distribution and utilisation are discussed. %B Towards a safer food supply in Europe %I Belgian Science Policy %C Brussels %P 95 - 112 %@ 978-90-8756-032-4 %G eng %1 38512 %& 95 %0 Journal Article %D 0 %T Pilot market surveillance of GMM contaminations in alpha-amylase food enzyme products: a detection strategy strengthened by a newly developed qPCR method targeting a GM Bacillus licheniformis producing alpha-amylase %A Marie-Alice Fraiture %A Andrea Gobbo %A Chloé Guillitte %A U Marchesi %A Daniela Verginelli %A Joke De Greve %A Jolien D'aes %A Kevin Vanneste %A N. Papazova %A Nancy Roosens %G eng