Publication | Open Access
GMDD: a database of GMO detection methods
118
Citations
10
References
2008
Year
Genetically modified organisms have been widely commercialized, yet harmonized detection methods are lacking, making GMO analysis essential for labeling compliance. GMDD aggregates nearly all reported GMO detection methods, categorizes them by strategy, and offers a searchable interface with sequence data, reference materials, and validation status, while allowing user submissions. The database provides comprehensive, accessible information that simplifies GMO analysis.
Abstract Background Since more than one hundred events of genetically modified organisms (GMOs) have been developed and approved for commercialization in global area, the GMO analysis methods are essential for the enforcement of GMO labelling regulations. Protein and nucleic acid-based detection techniques have been developed and utilized for GMOs identification and quantification. However, the information for harmonization and standardization of GMO analysis methods at global level is needed. Results GMO Detection method Database (GMDD) has collected almost all the previous developed and reported GMOs detection methods, which have been grouped by different strategies (screen-, gene-, construct-, and event-specific), and also provide a user-friendly search service of the detection methods by GMO event name, exogenous gene, or protein information, etc. In this database, users can obtain the sequences of exogenous integration, which will facilitate PCR primers and probes design. Also the information on endogenous genes, certified reference materials, reference molecules, and the validation status of developed methods is included in this database. Furthermore, registered users can also submit new detection methods and sequences to this database, and the newly submitted information will be released soon after being checked. Conclusion GMDD contains comprehensive information of GMO detection methods. The database will make the GMOs analysis much easier.
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