August 9, 2013
The Whys And Hows Of Standardized Methods For The GMO Monitoring Of Butterflies And Moths
Butterflies and moths were the first biological indicators considered for the purpose of GMO monitoring within the VDI guidelines series. The European community stipulates a monitoring plan in order to trace and identify any harmful effects on human health or the environment of GMO after they have been placed on the market. Butterflies and moths are widely accepted as relevant protection goals and have often been suggested and applied as suitable indicators for the monitoring of environmental quality and changes as one of the major indicators to monitor and assess biodiversity change in Europe.Adverse effects of genetically modified (GM) plants on Lepidoptera have already been reported, which strongly supports their quality and significance for an appropriate GMO monitoring. The VDI guidelines provide the state-of-the-art of a GMO monitoring of Lepidoptera as required by the European Community. They describe the best possible treatment of the demands of a Lepidopteran GMO monitoring.
The paper recently published in the open access journal BioRisk, reports known and potential effects of GM plants on Lepidoptera. The study aims at an increase in the detection success of such effects, thus meeting the required criteria for a GMO monitoring formulated by the EC. Information is provided on the sampling and monitoring of day-active Lepidoptera, of night-active moths and of the recording of Lepidopteran larvae, as well as to sample design and strategy. Though specifically designed for GM crops, the VDI guidelines may also serve as a template to monitor the effects of a wider range of adverse factors on Lepidoptera in agriculture.
The guidelines describe and ensure a suitable approach for a powerful and cost-efficient monitoring, which is not equivalent to being cheap, but means generating data of high (or sufficient) quality with an acceptable and justified effort. An iterative quality control of the monitoring results is paramount, regularly checking the relation between invested efforts and value of generated data, and continuously adapting the monitoring program to scientific progress and new knowledge.
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