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Title:The GMOseek matrix : a decision support tool for optimizing the detection of genetically modified plants
Authors:ID Block, Annette (Author)
ID Debode, Frédéric (Author)
ID Grohmann, Lutz (Author)
ID Hulin, Julie (Author)
ID Taverniers, Isabel (Author)
ID Kluga, Linda (Author)
ID Barbau-Piednoir, Elodie (Author)
ID Broeders, Sylvia (Author)
ID Huber, Ingrid (Author)
ID Bulcke, Marc (Author)
ID Heinze, Petra (Author)
ID Berben, Gilbert (Author)
ID Busch, Ulrich (Author)
ID Roosens, Nancy (Author)
ID Janssen, Erik (Author)
ID Žel, Jana (Author)
ID Gruden, Kristina (Author)
ID Morisset, Dany (Author)
Files:URL URL - Source URL, visit http://www.biomedcentral.com/1471-2105/14/256
 
.pdf PDF - Presentation file, download (656,03 KB)
MD5: 2E1B2466E5D577AD4DE14B3AEAB823AA
 
URL URL - Source URL, visit https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-14-256
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo NIB - National Institute of Biology
Abstract:Background Since 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. Description The 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. Conclusions The 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.
Keywords:genetically modified organism, GMO, GMO screening, matrix approach, genetically modified plant
Publication status:Published
Publication version:Version of Record
Publication date:22.08.2013
Year of publishing:2013
Number of pages:str. [1-14], 256
Numbering:Vol. 14
PID:20.500.12556/DiRROS-20021 New window
UDC:581.1
ISSN on article:1471-2105
DOI:10.1186/1471-2105-14-256 New window
COBISS.SI-ID:2916431 New window
Note:Opis vira z dne 2. 10. 2013;
Publication date in DiRROS:02.08.2024
Views:565
Downloads:373
Metadata:XML DC-XML DC-RDF
:
BLOCK, Annette, DEBODE, Frédéric, GROHMANN, Lutz, HULIN, Julie, TAVERNIERS, Isabel, KLUGA, Linda, BARBAU-PIEDNOIR, Elodie, BROEDERS, Sylvia, HUBER, Ingrid, BULCKE, Marc, HEINZE, Petra, BERBEN, Gilbert, BUSCH, Ulrich, ROOSENS, Nancy, JANSSEN, Erik, ŽEL, Jana, GRUDEN, Kristina and MORISSET, Dany, 2013, The GMOseek matrix : a decision support tool for optimizing the detection of genetically modified plants. BMC bioinformatics [online]. 2013. Vol. 14, p. 1–14, 256. [Accessed 21 April 2025]. DOI 10.1186/1471-2105-14-256. Retrieved from: https://dirros.openscience.si/IzpisGradiva.php?lang=eng&id=20021
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Record is a part of a journal

Title:BMC bioinformatics
Publisher:BioMed Central
ISSN:1471-2105
COBISS.SI-ID:2433556 New window

Document is financed by a project

Funder:Other - Other funder or multiple funders
Project number:G03032
Funder:Other - Other funder or multiple funders
Name:European ERA-NET consortium SAFEFOODERA
Acronym:GMOseek

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License:CC BY 2.0, Creative Commons Attribution 2.0 Generic
Link:https://creativecommons.org/licenses/by/2.0
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