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GMDD: A database of GMO detection methods

  • Wei Dong
  • , Litao Yang
  • , Kailin Shen
  • , Banghyun Kim
  • , Gijs A. Kleter
  • , Hans J.P. Marvin
  • , Rong Guo
  • , Wanqi Liang
  • , Dabing Zhang

Research output: Contribution to journalArticlepeer-review

105 Citations (Scopus)

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.

Original languageEnglish
Article number260
JournalBMC Bioinformatics
Volume9
DOIs
Publication statusPublished - 4 Jun 2008

Bibliographical note

Funding Information:
This work was supported by the National Key Basic Research Developments Program of the Ministry of Science and Technology, P. R. China (2007CB109201), the National Natural Science Foundation of China (30725022,30700499), the national high-tech project "863" (2006AA10Z443, 2007AA10Z418), the Ministry of Science and Technology P. R. China (2006DFA32820), Shanghai Municipal Committee of Science and Technology (05DZ05003, 06DZ22908), the Science and Technology program of Shanghai Agricultural committee (No. 10-2, 2006) and Shanghai Leading Academic Discipline Project (B205). And also thanks for financial contributions of RIKILT Institute of Food Safety.

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