GMDD: a database of GMO detection methods

W. Dong, L. Yang, K. Shen, B. Kim, G.A. Kleter, H.J.P. Marvin, R. Guo, W. Liang, D. Zhang

    Research output: Contribution to journalArticleAcademicpeer-review

    95 Citations (Scopus)

    Abstract

    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.
    Original languageEnglish
    Article number260
    JournalBMC Bioinformatics
    Volume9
    DOIs
    Publication statusPublished - 2008

    Keywords

    • genetically-modified organisms
    • event-specific detection
    • pcr
    • quantification
    • maize
    • chain
    • food

    Fingerprint

    Dive into the research topics of 'GMDD: a database of GMO detection methods'. Together they form a unique fingerprint.

    Cite this