| Title: | Development and inter-laboratory assessment of droplet digital PCR assays for multiplex quantification of 15 genetically modified soybean lines |
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| Authors: | ID Bogožalec Košir, Alexandra (Author)
ID Spilsberg, Bjørn (Author)
ID Holst-Jensen, Arne (Author)
ID Žel, Jana (Author)
ID Dobnik, David (Author) |
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| Files: |  URL - Source URL, visit https://www.nature.com/articles/s41598-017-09377-w.pdf
 PDF - Presentation file, download (1,32 MB)
MD5: 32749E404B713DB980E602988272F073
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| Language: | English |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: |  NIB - National Institute of Biology
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| Abstract: | Quantification of genetically modified organisms (GMOs) in food and feed products is often required for their labelling or for tolerance thresholds. Standard-curve-based simplex quantitative polymerase chain reaction (qPCR) is the prevailing technology, which is often combined with screening analysis. With the rapidly growing number of GMOs on the world market, qPCR analysis becomes laborious and expensive. Innovative cost-effective approaches are therefore urgently needed. Here, we report the development and inter-laboratory assessment of multiplex assays to quantify GMO soybean using droplet digital PCR (ddPCR). The assays were developed to facilitate testing of foods and feed for compliance with current GMO regulations in the European Union (EU). Within the EU, the threshold for labelling is 0.9% for authorised GMOs per ingredient. Furthermore, the EU has set a technical zero tolerance limit of 0.1% for certain unauthorised GMOs. The novel multiplex ddPCR assays developed target 11 GMO soybean lines that are currently authorised, and four that are tolerated, pending authorisation in the EU. Potential significant improvements in cost efficiency are demonstrated. Performance was assessed for the critical parameters, including limits of detection and quantification, and trueness, repeatability, and robustness. Inter-laboratory performance was also determined on a number of proficiency programme and real-life samples. |
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| Keywords: | droplet digital PCR, genetically modified organisms, soybean |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Publication date: | 17.08.2017 |
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| Year of publishing: | 2017 |
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| Number of pages: | str. 1-11 |
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| Numbering: | Vol. 7 |
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| PID: | 20.500.12556/DiRROS-19723  |
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| UDC: | 577.2 |
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| ISSN on article: | 2045-2322 |
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| DOI: | 10.1038/s41598-017-09377-w |
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| COBISS.SI-ID: | 4399695 |
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| Note: | Nasl. z nasl. zaslona;
Opis vira z dne 28. 8. 2017;
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| Publication date in DiRROS: | 25.07.2024 |
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| Views: | 21 |
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| Downloads: | 7 |
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