Open Access Highly Accessed Database

GMDD: a database of GMO detection methods

Wei Dong1, Litao Yang1, Kailin Shen2, Banghyun Kim3, Gijs A Kleter4, Hans JP Marvin4, Rong Guo5, Wanqi Liang1 and Dabing Zhang1*

Author Affiliations

1 GMO Detection Laboratory, SJTU-Bor Luh Food Safety Center, Key Laboratory of Microbial Metabolism, Ministry of Education, School of Life Science and Biotechnology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, PR China

2 Shanghai Fisheries University, 334 Jungong Road., Shanghai 200090, PR China

3 Korea Food & Drug Administration, 194 Tongiliro, Eunpyung-gu, Seoul 122-704, South Korea

4 RIKILT – Institute of Food Safety, Wageningen University and Research Center, Bornsesteeg 45, NL-6708 PD Wageningen, The Netherlands

5 Shanghai University, 149 Yanchang Road., Shanghai 200072, PR China

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BMC Bioinformatics 2008, 9:260  doi:10.1186/1471-2105-9-260

Published: 4 June 2008

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.