Skip to main content

Advertisement

Log in

GMOfinder—A GMO Screening Database

  • Published:
Food Analytical Methods Aims and scope Submit manuscript

Abstract

The development and cultivation of genetically modified crops is still increasing globally. Food and feed imports from outside the European Union (EU) will subsequently require more effort from the responsible authorities in monitoring the compliance with effective labelling regulations. The aim of this study was the development of the GMOfinder, a database for collection and interpretation of information related to the screening for genetically modified organisms (GMOs). Different genetic elements (e.g. promoters, terminators, structural genes) are artificially introduced into plants to establish new genetic modifications. The introduced elements may vary between GMO events, depending on the intended trait(s). Screening for such inserted elements with (real-time) polymerase chain reaction is a common first step to analyse samples for the presence of any genetical modification. From the pattern of detectable and nondetectable elements, valuable conclusions about the identity of putative present GMO event(s) can be drawn with the GMOfinder. Information about selected genetic elements from the literature, applications for authorisation and other (web) sources were systematically integrated in a tabular matrix format. Special care was taken to additionally record the sources of the information, thus facilitating evaluation of screening results, and tracing of possible errors in the matrix. The GMOfinder accesses data from the element matrix with implemented algorithms and facilitates to interpret the outcome of screenings. Such a preselection helps to systematically narrow down the candidates for subsequent identification reactions. Optional display of events with potentially masked elements completes the included features.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Abbreviations

BVL:

German Federal Office for Consumer Protection and Food Safety

EFSA:

European Food Safety Authority

EURL-GMFF:

European Reference Laboratory for GM Food and Feed

GMO:

Genetically modified organism

LGL:

Bavarian Health and Food Safety Authority

QM:

Quality management

UI:

Unique identifier

References

  • AGBIOS/CERA, GM crop database. http://cera-gmc.org/index.php?action=gm_crop_database. Accessed 23.06.2010

  • BATS (2003) Genetically modified (GM) crops: molecular and regulatory details - Version 2. Basel

  • Chaouchi M, Chupeau G, Berard A et al (2008) J Agric Food Chem 56:11596

    Article  Google Scholar 

  • Congen (unpublished) Detection method for pFMV; proposed for official German method collection ‘Amtliche Sammlung von Untersuchungsverfahren nach § 64 LFGB’

  • Convention on Biological Diversity (CBD) (2008) UNEP/CBD/BS/COP-MOP/4/INF/2/Add.1

  • CropScience-BioScience B (2006) Grain testing method for detection of rice GM events containing P35S::bar sequences using RT-PCR protocols PGS0494 and PGS0476. Protocol, Bayer Crop Science, Gent, Belgium

    Google Scholar 

  • EFSA (2011) GMO requests and mandates. http://registerofquestions.efsa.europa.eu/roqFrontend/questionsListLoader?panel=GMO. Accessed 03.05.2011

  • Eurofins GeneScan (unpublished) Detection method for pFMV; proposed for official German method collection ‘Amtliche Sammlung von Untersuchungsverfahren nach § 64 LFGB’

  • Grohmann L, Brünen-Nieweler C, Nemeth A, Waiblinger HU (2009) J Agric Food Chem 57:8913

    Article  CAS  Google Scholar 

  • Hamels S, Glouden T, Gillard K et al (2009) Eur Food Res Technol 228:531

    Article  CAS  Google Scholar 

  • Heinze P (2008) J Verbr Lebensm 3:43

    Article  Google Scholar 

  • Holst-Jensen A (2009) Biotechnol Adv 27:1071

    Article  CAS  Google Scholar 

  • Holst-Jensen A, Bertheau Y, Loose MD et al (2012) Biotechnol Adv. doi:10.1016/j.biotechadv.2012.01.024

  • James C (2011) ISAAA Brief 42

  • Japanese Ministry of the Environment (2010) Japan Biosafety Clearing House. http://www.bch.biodic.go.jp/english/e_index.html, accessed 17.02.2010

  • Kuribara H, Shindo Y, Matsuoka T et al (2002) J AOAC Int 85:1077

    CAS  Google Scholar 

  • Leimanis S, Hamels S, Nazé F et al (2008) Eur Food Res Technol 227:1621

    Article  CAS  Google Scholar 

  • Mano J, Shigemitsu N, Futo S et al (2009) J Agric Food Chem 57:26

    Article  CAS  Google Scholar 

  • OECD (2009) BioTrack product database. http://www2.oecd.org/biotech/byorganism.aspx. Accessed 21.07.2009

  • Official German method collection ‘Amtliche Sammlung von Untersuchungsverfahren nach § 64 LFGB’ (2008) Untersuchung von Lebensmitteln - Nachweis von bestimmten, häufig in gentechnisch veränderten Organismen (GVO) verwendeten DNA-Sequenzen aus dem Blumenkohlmosaikvirus (CaMV 35S-Promotor, P35S) sowie aus Agrobacterium tumefaciens (T-nos) in Lebensmitteln: Screening-Verfahren, vol 00.00-122

  • Official German method collection ‘Amtliche Sammlung von Untersuchungsverfahren nach § 64 LFGB’ (2008) Untersuchung von Lebensmitteln - Nachweis der CTP2-CP4-EPSPS-Gensequenz zum Screening auf Bestandteile aus gentechnisch veränderten Organismen (GVO) in Lebensmitteln; Konstrukt-spezifisches Verfahren, vol L 00.00–125

  • Official German method collection ‘Amtliche Sammlung von Untersuchungsverfahren nach § 64 LFGB’ (2008) Untersuchung von Lebensmitteln - Nachweis einer bestimmten, häufig in gentechnisch veränderten Organismen (GVO) verwendeten DNA-Sequenz aus dem bar-Gen von Streptomyces hygroscopicus in Lebensmitteln: Screening-Verfahren, vol 00.00-122

  • Official German method collection ‘Unterausschuss Methodenentwicklung der Bund/Länder-Arbeitsgemeinschaft Gentechnik (LAG)’ (2006) Real-time PCR zur quantitativen Bestimmung gentechnisch veränderter Rapslinien mit dem 35S/pat-Genkonstrukt, vol 03/2006

  • Official German method collection ‘Unterausschuss Methodenentwicklung der Bund/Länder-Arbeitsgemeinschaft Gentechnik (LAG)’ (2006) Konzept zur Untersuchung von Saatgut auf Anteile gentechnisch veränderter Pflanzen, vol 03/2006

  • Querci M, Van den Bulcke M, Zel J, Van den Eede G, Broll H (2010) Anal Bioanal Chem 396

  • Reiting R (2010) J Verbr Lebensm 5:377

    Article  Google Scholar 

  • Reiting R (unpublished) Unpublished method for: real-time PCR-detection of pTA29/barnase construct (29bar-Tm). LHL Hessen, Germany

  • Reiting R (unpublished) Real-time PCR-detection of pSSUAra/bar construct (Pbar-FP2/Tq-Pbar; modification of the PCR method of the German network LAG). LHL Hessen, Germany

  • Remacle J, Bertheau Y (2001) New technology in food science facing the multiplicity of new released GMO (GMOchips). University of Namur. http://www.fundp.ac.be/en/research/projects/page_view/01275404

  • Stein AJ, Rodríguez-Cerezo E (2009) The global pipeline of new GM crops: implications of asynchronous approval for international trade. JRC Sci Tech Rep

  • The Food and Environment Research Agency (FERA) (2010) GM Test Matrices—GM lines test elements search (v_web2). http://www.gm-inspectorate.gov.uk/seedAuditProgramme/GMTestMatrices.cfm. Accessed 04.03.2010

  • Van den Bulcke M, Lievens A, Barbau-Piednoir E et al (2010) Anal Bioanal Chem 396:2113

    Article  Google Scholar 

  • Waiblinger H-U, Boernsen B, Pietsch K (2008) DLR 104:261

    CAS  Google Scholar 

  • Waiblinger HU, Grohmann L, Mankertz J, Engelbert D, Pietsch K (2010) Anal Bioanal Chem 396:2065

    Article  CAS  Google Scholar 

  • Working Group Biochemical and Molecular Biological Analysis (2011) Screening table for the detection of authorised and unauthorised genetically modified plants. http://www.gdch.de/strukturen/fg/lm/ag/bioanal/gvonachweis.xls. Accessed 24.03.2011

  • Zeitler R (2003) Standard operating procedure (SOP): ‘Qualitativer Nachweis von DNA-Sequenzen mit Hilfe der TaqMan-PCR’. Bavarian Environment Agency (LfU), Augsburg, Germany

    Google Scholar 

  • Zeitler R, Pietsch K, Waiblinger H-U (2002) Eur Food Res Technol 214:346

    Article  CAS  Google Scholar 

Download references

Acknowledgements

The presented work was funded by the Bavarian State Ministry of the Environment and Public Health (UGV04090803099). We thank Krimhilde Posthoff and Patrick Guertler for testing the database and for useful discussions. Andrea Harwardt, Claudia Bujotzek, Roswitha Dorfner, Ulrike Mulats, Melina Mehmedovic, and Manuela Hillen provided excellent technical assistance.

Conflict of Interest

None

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sven Pecoraro.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Fig. S6

Query algorithms in the GMOfinder. Schematic overview and partial screenshots of the dataset selection procedure in the GMOfinder. The user decides on the form by adjusting option groups; the value from the option group is assigned via visual basic for applications (VBA) to a global variable; a public function is set via VBA according to the global variable; the public function is then used directly as query parameter in a query (JPEG 580 kb)

High resolution image (TIFF 1.17 mb)

Fig. S7

Query parameters for the species selection. Schematic overview of the species selection procedure in the GMOfinder. The user enters experimental screening results by adjusting the species option groups (e.g. ‘Maize’) on the form; the value from the option group (e.g. ‘1’ for ‘detectable’) is assigned via VBA to a global variable (e.g. ‘MaisVorh’: ‘-1’ for ‘detectable’); a public function (e.g. ‘SpeziesMais()’) is set via VBA according to the global variable (e.g. ‘Mais’ for ‘detectable’); the public function is then used directly as parameter in the query. Query parameters: SpeziesMais() Or SpeziesSoja()… Or SpeziesTorenie(). Each of the parameters is either the German name of the species (e.g. ‘Mais’) or an empty string (‘“”’). Selection of ‘detectable’ or ‘not tested’ yields the corresponding German name, selection of ‘not detectable’ or ‘exclude’ yields the empty string as query parameter for the corresponding species (JPEG 166 kb)

High resolution image (TIFF 41.5 kb)

Fig. S8

Query parameters for the selection of genetic elements/constructs. Schematic overview of the genetic elements/constructs selection procedure in the GMOfinder. The user enters experimental screening results by adjusting the element/construct option groups (e.g. ‘p35S (a)’); the value from the option group (e.g. ‘1’ for ‘detectable’) is assigned via VBA to a global variable (e.g. ‘aVorh’: ‘1’ for ‘detectable’); two public functions [e.g. ‘Eamin()’ and ‘Eamax()’] are set via VBA according to the global variable (e.g. ‘0’ and ‘9’ for ‘detectable’); the public functions are then used as limiting parameters in the query. Query parameters: Between Exxxmin() And Exxxmax(). Each of the parameters Exxxmin and Exxxmax is -9, 9, or 0. The database value for the given element/construct is for each GMO an integer value between -9 and 9, or 0 (compare table in Fig. 2). The selection of the option with/without masking affects the public function Exxxmin() that is set to -9 independently of the selection in the option group (JPEG 194 kb)

High resolution image (TIFF 55.2 kb)

Fig. S9

Query parameters for the selection of empty datasets. Schematic overview of the selection procedure of empty datasets in the GMOfinder. The user decides on the inclusion/exclusion of empty datasets by adjusting the corresponding option group; the value from the option group (e.g. ‘1’ for ‘exclude’) is assigned via VBA to the global variable ‘leereDS’: ‘1’ for ‘exclude’; the public function ‘leerDS()’ is set via VBA according to the global variable (e.g. ‘“”’ for ‘exclude’); the public function is then used as comparison parameter in the query. Query parameters: Abs([a])+Abs([b])+…+Abs([m])>0 Or leerDS(). The database values for all elements/constructs are integer values between −9 and 9 or 0. Datasets with only 0 as value and accordingly 0 as sum of the absolute values are excluded by the presented query if the option ‘exclude’ is chosen (JPEG 137 kb)

High resolution image (TIFF 31.6 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Gerdes, L., Busch, U. & Pecoraro, S. GMOfinder—A GMO Screening Database. Food Anal. Methods 5, 1368–1376 (2012). https://doi.org/10.1007/s12161-012-9378-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12161-012-9378-6

Keywords

Navigation