Information system for monitoring environmental impacts of genetically modified organisms

Background, aim and scopeEuropean legislation stipulates that genetically modified organisms (GMO) have to be monitored to identify potential adverse environmental effects. A wealth of different types of monitoring data from various sources including existing environmental monitoring programmes is expected to accumulate. This requires an information system to efficiently structure, process and evaluate the monitoring data.MethodsA structure for an Information System for Monitoring GMO (ISMO) was developed by a multidisciplinary research team. It is based on the requirement to organise all relevant information in a logical, readily accessible and functional manner.ResultsFor the ISMO, we present a combination of three interrelated components: Firstly, an ISMO should comprise a knowledge database structured according to information related to the different scale levels of biological organisation relevant to GMO monitoring and scientific hypotheses on cause–effects which should be validated by monitoring data. Secondly, a monitoring database should be part of an ISMO containing GMO-specific monitoring data and meta-data. This monitoring database should be linked with monitoring data from other monitoring programmes which are relevant for GMO-related questions. Thirdly, an ISMO should encompass a database covering administrative and procedural data. Neither national nor international approaches to an ISMO exist yet.ConclusionsAn ISMO as designed in this paper could support competent authorities in both the GMO notification process and in post-market monitoring. This includes evaluating the environmental risks of experimentally releasing GMO and placing them on the market, assessing monitoring plans and evaluating monitoring results. The ISMO should be implemented on both the national and international level, preferably combining different administrative scales. Harmonisation approaches towards GMO monitoring data are at an initial stage, but they are a precondition to coordinated GMO monitoring and to successfully implementing an ISMO. It is recommended to set up a legal basis and to agree on common strategies for the data coordination and harmonisation.

[1]  A. Werner,et al.  Methodological scheme for designing the monitoring of genetically modified crops at the regional scale , 2005, Environmental monitoring and assessment.

[2]  R. Pesch,et al.  Harmonization of environmental monitoring , 2003 .

[3]  D. Andow,et al.  Science-Based Risk Assessment for Nontarget Effects of Transgenic Crops , 2004 .

[4]  Stéphane M. McLachlan,et al.  Gene Flow and Multiple Herbicide Resistance in Escaped Canola Populations , 2008, Weed Science.

[5]  Cathy Hawes,et al.  Design, analysis and statistical power of the Farm-Scale Evaluations of genetically modified herbicide-tolerant crops , 2003 .

[6]  Josef Strobl,et al.  Geospatial Crossroads @ GI_Forum '08. Proceedings of the Geoinformatics Forum Salzburg , 2008 .

[7]  S. Stirn,et al.  Genetically modified plants. , 2006 .

[8]  B. Tabashnik,et al.  Nontarget Effects of Transgenic Insecticidal Crops: Implications of Source-Sink Population Dynamics , 2007, Environmental entomology.

[9]  G. Schmidt,et al.  Determining Ecoregions for Environmental and GMO Monitoring Networks , 2005, Environmental monitoring and assessment.

[10]  Fred A. Kruse,et al.  The Information Technology of the German Environmental Information Portal PortalU® as Tool for the European Level? , 2008, EnviroInfo.

[11]  Hugh J. Beckie,et al.  GENE FLOW IN COMMERCIAL FIELDS OF HERBICIDE‐RESISTANT CANOLA (BRASSICA NAPUS) , 2003 .

[12]  Wolfgang Kresse,et al.  ISO Standards for Geographic Information , 2010 .

[13]  Thomas B. Starr,et al.  Hierarchy: Perspectives for Ecological Complexity , 1982 .

[14]  Allison A. Snow,et al.  GENETICALLY ENGINEERED ORGANISMS AND THE ENVIRONMENT: CURRENT STATUS AND RECOMMENDATIONS1 , 2005 .

[15]  Joachim Schiemann,et al.  Guidance document of the scientific panel on genetically modified organisms for the risk assessment of genetically modified plants and derived food and feed: (Question No EFSA-Q-2003-005) , 2004 .

[16]  J. Russo,et al.  Effects on Monarch Butterfly Larvae (Lepidoptera: Danaidae) After Continuous Exposure to Cry1Ab-Expressing Corn During Anthesis , 2004 .

[17]  Alfred Stein,et al.  An overview of spatial sampling procedures and experimental design of spatial studies for ecosystem comparisons , 2003 .

[18]  M. Finck,et al.  Concepts for General Surveillance: VDI Proposals Standardisation and Harmonisation in the Field of GMO-Monitoring , 2006, Journal für Verbraucherschutz und Lebensmittelsicherheit.

[19]  A. Lang,et al.  The effects of pollen consumption of transgenic Bt maize on the common swallowtail, Papilio machaon L. (Lepidoptera, Papilionidae) , 2006 .

[20]  J. Losey,et al.  Transgenic pollen harms monarch larvae , 1999, Nature.

[21]  F. Graef,et al.  GMO monitoring data coordination and harmonisation at EU level – Outcomes of the European Commission Working Group on Guidance Notes supplementing Annex VII of Directive 2001/18/EC , 2009, Journal für Verbraucherschutz und Lebensmittelsicherheit.

[22]  Timothy F. H. Allen,et al.  Role of Heterogeneity in Scaling of Ecological Systems Under Analysis , 1991 .

[23]  Shawn Bowers,et al.  The New Bioinformatics: Integrating Ecological Data from the Gene to the Biosphere , 2006 .

[24]  F. Graef Agro-environmental effects due to altered cultivation practices with genetically modified herbicide-tolerant oilseed rape and implications for monitoring. A review , 2011, Agronomy for Sustainable Development.