Ingrid M.J. Scholtens
Wageningen University and Research Centre
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Publication
Featured researches published by Ingrid M.J. Scholtens.
Analytical and Bioanalytical Chemistry | 2016
Martijn Staats; Alfred J. Arulandhu; Barbara Gravendeel; Arne Holst-Jensen; Ingrid M.J. Scholtens; Tamara Peelen; Theo W. Prins; Esther J. Kok
Species identification using DNA barcodes has been widely adopted by forensic scientists as an effective molecular tool for tracking adulterations in food and for analysing samples from alleged wildlife crime incidents. DNA barcoding is an approach that involves sequencing of short DNA sequences from standardized regions and comparison to a reference database as a molecular diagnostic tool in species identification. In recent years, remarkable progress has been made towards developing DNA metabarcoding strategies, which involves next-generation sequencing of DNA barcodes for the simultaneous detection of multiple species in complex samples. Metabarcoding strategies can be used in processed materials containing highly degraded DNA e.g. for the identification of endangered and hazardous species in traditional medicine. This review aims to provide insight into advances of plant and animal DNA barcoding and highlights current practices and recent developments for DNA metabarcoding of food and wildlife forensic samples from a practical point of view. Special emphasis is placed on new developments for identifying species listed in the Convention on International Trade of Endangered Species (CITES) appendices for which reliable methods for species identification may signal and/or prevent illegal trade. Current technological developments and challenges of DNA metabarcoding for forensic scientists will be assessed in the light of stakeholders’ needs.
Journal of Agricultural and Food Chemistry | 2013
Ingrid M.J. Scholtens; E.J. Laurensse; Bonnie Molenaar; Stephanie Zaaijer; Heidi Gaballo; Peter Boleij; Arno Bak; Esther J. Kok
Nowadays most animal feed products imported into Europe have a GMO (genetically modified organism) label. This means that they contain European Union (EU)-authorized GMOs. For enforcement of these labeling requirements, it is necessary, with the rising number of EU-authorized GMOs, to perform an increasing number of analyses. In addition to this, it is necessary to test products for the potential presence of EU-unauthorized GMOs. Analysis for EU-authorized and -unauthorized GMOs in animal feed has thus become laborious and expensive. Initial screening steps may reduce the number of GMO identification methods that need to be applied, but with the increasing diversity also screening with GMO elements has become more complex. For the present study, the application of an informative detailed 24-element screening and subsequent identification strategy was applied in 50 animal feed samples. Almost all feed samples were labeled as containing GMO-derived materials. The main goal of the study was therefore to investigate if a detailed screening strategy would reduce the number of subsequent identification analyses. An additional goal was to test the samples in this way for the potential presence of EU-unauthorized GMOs. Finally, to test the robustness of the approach, eight of the samples were tested in a concise interlaboratory study. No significant differences were found between the results of the two laboratories.
Analytical and Bioanalytical Chemistry | 2010
Ingrid M.J. Scholtens; Esther J. Kok; L. Hougs; Bonnie Molenaar; Jac T. N. M. Thissen; H. van der Voet
To improve the efficacy of the in-house validation of GMO detection methods (DNA isolation and real-time PCR, polymerase chain reaction), a study was performed to gain insight in the contribution of the different steps of the GMO detection method to the repeatability and in-house reproducibility. In the present study, 19 methods for (GM) soy, maize canola and potato were validated in-house of which 14 on the basis of an 8-day validation scheme using eight different samples and five on the basis of a more concise validation protocol. In this way, data was obtained with respect to the detection limit, accuracy and precision. Also, decision limits were calculated for declaring non-conformance (>0.9%) with 95% reliability. In order to estimate the contribution of the different steps in the GMO analysis to the total variation variance components were estimated using REML (residual maximum likelihood method). From these components, relative standard deviations for repeatability and reproducibility (RSDr and RSDR) were calculated. The results showed that not only the PCR reaction but also the factors ‘DNA isolation’ and ‘PCR day’ are important factors for the total variance and should therefore be included in the in-house validation. It is proposed to use a statistical model to estimate these factors from a large dataset of initial validations so that for similar GMO methods in the future, only the PCR step needs to be validated. The resulting data are discussed in the light of agreed European criteria for qualified GMO detection methods.
GigaScience | 2017
Alfred J. Arulandhu; Martijn Staats; Rico Hagelaar; Marleen M. Voorhuijzen; Theo W. Prins; Ingrid M.J. Scholtens; Adalberto Costessi; Danny Duijsings; François Rechenmann; Frédéric Gaspar; Maria Teresa Barreto Crespo; Arne Holst-Jensen; Matthew Birck; Malcolm Burns; Edward Haynes; Rupert Hochegger; Alexander Klingl; Lisa Lundberg; Chiara Natale; Hauke Niekamp; Elena Perri; Alessandra Barbante; Jean-Philippe Rosec; Ralf Seyfarth; Tereza Sovová; Christoff Van Moorleghem; Saskia M. van Ruth; Tamara Peelen; Esther J. Kok
Abstract DNA metabarcoding provides great potential for species identification in complex samples such as food supplements and traditional medicines. Such a method would aid Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) enforcement officers to combat wildlife crime by preventing illegal trade of endangered plant and animal species. The objective of this research was to develop a multi-locus DNA metabarcoding method for forensic wildlife species identification and to evaluate the applicability and reproducibility of this approach across different laboratories. A DNA metabarcoding method was developed that makes use of 12 DNA barcode markers that have demonstrated universal applicability across a wide range of plant and animal taxa and that facilitate the identification of species in samples containing degraded DNA. The DNA metabarcoding method was developed based on Illumina MiSeq amplicon sequencing of well-defined experimental mixtures, for which a bioinformatics pipeline with user-friendly web-interface was developed. The performance of the DNA metabarcoding method was assessed in an international validation trial by 16 laboratories, in which the method was found to be highly reproducible and sensitive enough to identify species present in a mixture at 1% dry weight content. The advanced multi-locus DNA metabarcoding method assessed in this study provides reliable and detailed data on the composition of complex food products, including information on the presence of CITES-listed species. The method can provide improved resolution for species identification, while verifying species with multiple DNA barcodes contributes to an enhanced quality assurance.
Food Chemistry | 2016
Theo W. Prins; Ingrid M.J. Scholtens; Arno W. Bak; Jeroen P. van Dijk; Marleen M. Voorhuijzen; E.J. Laurensse; Esther J. Kok
During routine monitoring for GMOs in food in the Netherlands, papaya-containing food supplements were found positive for the genetically modified (GM) elements P-35S and T-nos. The goal of this study was to identify the unknown and EU unauthorised GM papaya event(s). A screening strategy was applied using additional GM screening elements including a newly developed PRSV coat protein PCR. The detected PRSV coat protein PCR product was sequenced and the nucleotide sequence showed identity to PRSV YK strains indigenous to China and Taiwan. The GM events 16-0-1 and 18-2-4 could be identified by amplifying and sequencing events-specific sequences. Further analyses showed that both papaya event 16-0-1 and event 18-2-4 were transformed with the same construct. For use in routine analysis, derived TaqMan qPCR methods for events 16-0-1 and 18-2-4 were developed. Event 16-0-1 was detected in all samples tested whereas event 18-2-4 was detected in one sample. This study presents a strategy for combining information from different sources (literature, patent databases) and novel sequence data to identify unknown GM papaya events.
Analytical and Bioanalytical Chemistry | 2017
Ingrid M.J. Scholtens; Bonnie Molenaar; Richard A. van Hoof; Stephanie Zaaijer; Theo W. Prins; Esther J. Kok
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.
European Food Research and Technology | 2017
Theo W. Prins; Richard A. van Hoof; Ingrid M.J. Scholtens; Esther J. Kok
The import and use of genetically modified organisms (GMOs) is strictly regulated in the European Union. In order to maintain the legislation on GMOs, a genetic element screening is generally applied as a first step to detect authorised as well as unauthorised GMOs. Subsequent identification of GMOs that relate to the detected elements is performed by the application of event-specific detection methods. However, as the diversity of GMOs on the world market is increasing, there is an ongoing need for methods for additional informative screening elements. Genes that are increasingly applied in GMOs are cry3A (including variants mcry3A and eCry3.1Ab) conferring resistance to Bt toxins, and gat, detoxifying glyphosate. Novel TaqMan PCR detection methods for element cry3A and construct gat/T-pinII were developed to support the identification of maize MIR604, 98140, 5307, canola 61061 and 73496, and soybean 356043. Also, other unknown (unauthorised) GMOs containing cry3A and/or gat/T-pinII can potentially be detected. Specificity, efficiency and sensitivity of the methods were evaluated.
Data in Brief | 2016
Theo W. Prins; Ingrid M.J. Scholtens; Arno W. Bak; Jeroen P. van Dijk; Marleen M. Voorhuijzen; E.J. Laurensse; Esther J. Kok
This article contains data related to the research article entitled “A case study to determine the geographical origin of unknown GM papaya in routine food sample analysis, followed by identification of papaya events 16-0-1 and 18-2-4” (Prins et al., 2016) [1]. Quantitative real-time PCR (qPCR) with targets that are putatively present in genetically modified (GM) papaya was used as a first screening to narrow down the vast array of candidates. The combination of elements P-nos and nptII was further confirmed by amplification and subsequent sequencing of the P-nos/nptII construct. Next, presence of the candidate GM papayas 16-0-1 and 18-2-4 were investigated by amplification and sequencing of event-spanning regions on the left and right border. This data article reports the Cq values for GM elements, the nucleotide sequence of the P-nos/nptII construct and the presence of GM papaya events 18-2-4 and/or 16-0-1 in five samples that were randomly sampled to be analysed in the framework of the official Dutch GMO monitoring program for food.
Analytical and Bioanalytical Chemistry | 2014
Chanjuan Liang; Jeroen P. van Dijk; Ingrid M.J. Scholtens; Martijn Staats; Theo W. Prins; Marleen M. Voorhuijzen; Andrea M. da Silva; Ana Carolina Maisonnave Arisi; Johan T. den Dunnen; Esther J. Kok
Analytical and Bioanalytical Chemistry | 2011
Andréia Zilio Dinon; Theo W. Prins; Jeroen P. van Dijk; Ana Carolina Maisonnave Arisi; Ingrid M.J. Scholtens; Esther J. Kok