Environmental risk assessment of genetically modified plants - concepts and controversies
© Hilbeck et al; licensee Springer. 2011
Received: 3 February 2011
Accepted: 15 March 2011
Published: 15 March 2011
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© Hilbeck et al; licensee Springer. 2011
Received: 3 February 2011
Accepted: 15 March 2011
Published: 15 March 2011
In Europe, the EU Directive 2001/18/EC lays out the main provisions of environmental risk assessment (ERA) of genetically modified (GM) organisms that are interpreted very differently by different stakeholders. The purpose of this paper is to: (a) describe the current implementation of ERA of GM plants in the EU and its scientific shortcomings, (b) present an improved ERA concept through the integration of a previously developed selection procedure for identification of non-target testing organisms into the ERA framework as laid out in the EU Directive 2001/18/EC and its supplement material (Commission Decision 2002/623/EC), (c) describe the activities to be carried out in each component of the ERA and (d) propose a hierarchical testing scheme. Lastly, we illustrate the outcomes for three different crop case examples.
Implementation of the current ERA concept of GM crops in the EU is based on an interpretation of the EU regulations that focuses almost exclusively on the isolated bacteria-produced novel proteins with little consideration of the whole plant. Therefore, testing procedures for the effect assessment of GM plants on non-target organisms largely follow the ecotoxicological testing strategy developed for pesticides. This presumes that any potential adverse effect of the whole GM plant and the plant-produced novel compound can be extrapolated from testing of the isolated bacteria-produced novel compound or can be detected in agronomic field trials. This has led to persisting scientific criticism.
Based on the EU ERA framework, we present an improved ERA concept that is system oriented with the GM plant at the centre and integrates a procedure for selection of testing organisms that do occur in the receiving environment. We also propose a hierarchical testing scheme from laboratory studies to field trials and we illustrate the outcomes for three different crop case examples.
Our proposed concept can alleviate a number of deficits identified in the current approach to ERA of GM plants. It allows the ERA to be tailored to the GM plant case and the receiving environment.
In most countries of the world, genetically modified (GM) organisms are subject to regulation. In Europe and all countries that are signatories to the Cartagena Protocol, environmental risk assessment (ERA) is required for the regulatory approval of GM organisms (GMO) (CBD 2000, Annex II; 6; 1, Annex III) .
ERA as defined in the European Union (EU) legislation has to evaluate the 'risks to human health and the environment, whether direct or indirect, immediate or delayed, which the deliberate release or the placing on the market of GMOs may pose' (EC 2001, Annex II) . In addition, potential cumulative long-term effects have to be analysed. The EU Directive 2001/18 (EC 2001, Annex II)  further describes the different 'effect categories' to be considered. 'Direct effects' are primary effects on human health and the environment which are the result of the GMO itself and which do not occur through a causal chain of events. 'Indirect effects' are effects 'occurring through a causal chain of events, through mechanisms such as interactions with other organisms, transfer of genetic material, or changes in use or management of the crop' (EC 2001, Annex II) . 'Immediate effects' refer to effects 'which are observed during the period of the release of the GMO. Immediate effects may be direct or indirect.' 'Delayed effects' are effects 'which may not be observed during the period of the release of the GMO but become apparent as a direct or indirect effect either at a later stage or after termination of the release' . All this should be done on a case-by-case basis, in a stepwise fashion and properly consider uncertainty and knowledge gaps [2, 3]. Last but not least, EU legislation states that 'The precautionary principle has been taken into account in the drafting of this directive and must be taken into account when implementing it' [2, 4]. While these provisions give guidance, a heated debate persists just on how they should be interpreted, and, more importantly, implemented . In our view, the current implementation of ERA falls short of complying with the EU regulations.
Comparison of current and alternative approaches to environmental risk assessment of genetically modified organisms
Current ERA model
Alternative ERA model
Novel trait = novel protein (pesticide model) as separate singular component
GMO (novel protein is integral component)
Stressor (characteristic causing adverse effect)
Primary (= GMO)
= novel trait
Secondary (any other measure required to realize benefit and intended effect of GMO)
= novel protein
Bacteria-produced and purified novel protein
Bacteria-produced and purified novel protein
Direct acute effects
Direct chronic effects
No, unless significant adverse direct effects at low tier
Yes, for selected species
No, unless significant adverse direct effects at low tier
Yes, for selected species
Interaction effects with other primary and secondary plant compounds and/or the environment
No, unless significant adverse direct effects at low tier
Yes, for selected species
Standard set of universal testing species, representative for trophic levels of a generic ecosystem (i.e., first producer, first consumer, second consumer, etc.) according to OECD  guidelines for pesticide testing
Procedure for case-specific selection of suitable testing species, representative for important ecological functions of the receiving environments
Prescriptive regarding detailed standardised experimental protocols according to OECD  guidelines for pesticide testing
Prescriptive regarding procedure to develop proper risk hypotheses and derive relevant testing protocols for the selected testing species
The ERA of GM plants currently focuses only on the novel trait and the novel substance (e.g. Bt-toxins, see below) expressed therein (Table 1). This interpretation was precedented by the US regulations  and found support by corporate developers of GM plants and some governmental regulators of GM organisms in the US and Europe [8, 9]. This current implementation of the regulations of GM plants is grounded in the concept of 'substantial equivalence' of GM plants and its non-transformed counterparts [10–12]. In order to demonstrate that a GM plant is substantially equivalent to the non-transformed parent plant, a number of basic compounds are measured and compared not only between the GM and non-GM cultivars but also to any published data of that plant species (e.g. any cultivar of maize including publications predating World War II) . Typically, the measured compounds are amino acids, total protein, fatty acids, carbohydrates, and occasionally anti-nutrients like glucosinolate in oilseed rape or solanine in potato. Although OECD consensus documents on compositional considerations have been published for various crops, no mandatory guidelines exist regarding what to test and how similar the values should be in order to still comply with being 'equivalent'. Most importantly, the degree of difference between a non-transformed parent cultivar or any other cultivar of the same plant species and the GM event is not defined . From personal experience of some of the authors of this article with data submitted in dossiers of GM plants seeking regulatory approval, these substantial equivalence data do frequently yield significant differences even outside of reported ranges for other (at times 'historic') cultivars but are then dismissed as 'biologically irrelevant'. The substantial equivalence (or familiarity) concept is therefore highly contested in particular with regard to its relevance for biosafety evaluations as it serves as the prime screen for unintended effects [14–16]. According to the developers of GM plants and some government regulators, the declaration of substantial equivalence legitimates to omit testing for anything but initial acute, short-term effects of the isolated bacteria-produced toxin [8, 9, 17]: 'If [...] the only difference found between the GM plant and the non-GM comparator is the newly expressed protein(s), the risk assessment can focus on the potential effects of this protein(s)' [8, 9, 12]. Or: 'If the transgenic plant does not differ from its near isoline, the stressor that needs to be assessed is simply the introduced trait (e.g. the expressed Cry protein) and not the whole plant.' . It is assumed that such initial tests using isolated bacteria-produced surrogate proteins are sufficiently reliable indicators for the required assessment of 'indirect', 'delayed' and 'cumulative' effects of the whole GM organism, including interaction effects of any existing secondary compounds (e.g. glycoalkaloids, glucosinolates) with the expressed novel toxins. If these acute toxicity tests do not yield data of concern any further testing in the environment for broader and more long-term effects is deemed obsolete [8, 12]. However, even for chemicals, this strategy is by no means uncontroversial [18–20]. For GM organisms, a further dimension of complexity arises. Not only is the lab-to-field extrapolation of the tested chemical debatable but, under the current approach, we additionally extrapolate from an isolated chemical surrogate (tested in the lab) to a complex living biological organism (in the field).
In practice, it also means that for GM plants that do not express a 'novel' pesticidal protein, as herbicide resistant (HR) crops or GM plants with altered primary compounds, like starch-altered GM crops, either no stressors are identified or their relevance is dismissed. This applies especially to the most widely used GM plants worldwide, HR crops. The vast majority of them are resistant to the broad spectrum herbicide glyphosate. The considered novel trait/protein (i.e. stressor) is a substitute enzyme from a microorganism (e.g. CP4 EPSPS conferring resistance to glyphosate) that is similar but not identical to the one naturally occurring in the conventional plants. It is in such significantly different as it enables the GM crop to continue the synthesis of essential amino acids which in non-GM plants is blocked by the corresponding broadspectrum herbicide - as a result, all plants except the HR crop die. However, for biosafety purposes, it is not considered a 'novel' compound and usually no testing for adverse effects of the whole GM plant is deemed necessary (Table 1). Occasionally, however, some toxicity tests with the new, again, bacteria-produced enzyme are performed. Based on this logic, the adverse effects of the broad-spectrum herbicide (on non-target flora and fauna and the evolution of resistant weeds) required to benefit from the technology, are excluded from the ERA [13, 21]. Some ecotoxicological aspects are considered in the registration of the pesticide (typically only submitted as request for extension of current use) but are not submitted in the context of the ERA of the GMO. Consequently, it is also not taken into account that GM HR crops do now contain higher concentrations of residues of the applied systemic herbicide, like glyphosate and its metabolite AMPA, than under the conventional use of these herbicides [22–24]. Aside of the health issues associated with any pesticide residue in food and feed, these higher herbicide residues have also an associated ecotoxicological dimension with regard to input pathways, persistence and bioactivity of pesticide residues in the ecosystem, in addition to the herbicide residues resulting from the external application. Further ignored are any unintended changes in the activity pattern of both the novel and native enzymes produced in the GM plant. We argue that these are serious shortcomings of the current approach to ERA of GM plants and identify the urgent need for improvement.
We propose a scientifically improved ERA concept that places the whole GM organism at the centre of the assessment. This includes potential adverse effects arising from direct and indirect exposure to the whole GM plant and from secondary stressors that are required to realise the benefit and intended effect(s) of the GM plant, such as the application of broad spectrum herbicides (Table 1) .
In this paper, we present the following new aspects beyond and above previously published material: (a) we integrate the selection procedures for identification of non-target testing organisms into the ERA framework as outlined in the EU Directive 2001/18/EC  and supplemented by the Guidance Notes of the EU Commission 2002/623/EC  and (b) describe the activities to carried out in each component of the ERA. This will address the components I - IV which represent a risk assessment sensu strictu. Furthermore, we propose a hierarchical testing scheme. Moreover, we contrast the activities we propose to be carried out under the first three components of the ERA framework to those proposed following the currently applied approach to ERA in Table 1 in order to highlight the improvements. Lastly, we illustrate the outcomes for three different crop case examples.
In this first component of the ERA framework, EU legislation requires the 'identification of characteristics which may cause adverse effects' (Figure 1). This component is the most critical part of the ERA, as it is here where the scope of the ERA is determined.
For an inclusive approach of ERA to be compliant with the EU regulations, it is reasonable to begin this process by defining and describing the 'case' to be assessed. This constitutes the basis for building the process in a systematic and transparent manner. Based on the provisions put forward by the Directive 2001/18/EC  and, similarly by the Cartagena Protocol on Biosafety , a case is described by the three elements: (1) the crop plant, (2) the novel trait relating to its intended effect and phenotypic characteristics of the GM plant and (3) the receiving environment relating to the intended use of the GM plant. For each element, information must be compiled and synthesised.
For the crop plant, any information on its biology, ecology and current spatio-temporal agronomic use and limitations of use is compiled. For the novel trait, this includes comprehensive information on the molecular characterization of the GM plant, its introduced genetic material and tissue-specific expression of the novel proteins. Information on the intended effect(s) include(s) for example all available data on the problem to be solved with the proposed GM plant, efficacy data of the GM plant demonstrating the ability to solve that problem, the severity of the problem, how widespread the problem is and who is mostly affected by the problem. To do that in an inclusive and transparent manner, scientists have developed a stakeholder process and tested it for the use in ERA of GM organisms [30, 31]. This procedure was recently transformed into a practical guidance handbook . Such a systematic process allows to identify the main users of the GM plant, and to estimate the potential adoption rate and spread of the GMO after release. This in turn allows to delineate the potential receiving environments and focus the analysis on those where the adoption is expected to be greatest with the assumption that potential adverse environmental effects will likely manifest firstly and foremost where the GM crop is grown most frequently and most widespread. Finally, the identification of the potential receiving environments is essential to characterise the existing biodiversity and ecological processes that might be affected and from which the candidate testing species will be selected (see next section).
Under the current ERA model, ecotoxicological testing follows closely the methodologies developed for environmental chemicals like pesticides . These are prescriptive with regard to the testing organisms and detailed testing protocols. Testing organisms are chosen from a list of universal standard species that are representative for trophic levels in general rather than present in a given receiving environment (Table 1) .
The selection procedure is a step-wise process that begins with identifying the most important ecological functions relevant to the sustainable production of the GM plant (Figure 2). Based on the information obtained from the characterization of the existing biodiversity in the identified receiving environments, a list of the most relevant functional groups for the given cropping system is compiled and the identified species are classified according to their known ecological functions (Step 1, Figure 2). Next, a defined set of ecological criteria is used to select the most important species of each functional category. Each species is ranked according to its geographic distribution, habitat specialization, abundance, phenology, linkage and association with the crop (Step 2, Figure 2). As this step is largely independent of the genetically engineered novel trait of the crop plant, the outcome of these two steps can be used for ERA of other GM, cases using the same plant/crop species. The goal is to select those species that rank highest in these ecological criteria and, therefore, have an important functional role in that cropping system. The rationale is that if these species are adversely affected by a GM plant, it could indeed result in an adverse environmental effect. These two selection steps greatly reduce the number of potential testing species existing in a given cropping system and surrounding habitats while acknowledging the limitations of the available knowledge about species and their function and identifying important gaps of information. Only those candidate species that were ranked highest in these two preceding steps are taken further along in the procedure. The goal is that neither all nor too little is required for testing but a reasonable set of species with greatest relevance to the receiving environment and an important ecological function in the given cropping system. The outcome of this first critical component is the scope and context of the ERA and the testing strategy tailored to the particular GM plant case in its receiving environment.
For the species ranked highest in the previous component, an exposure analysis is conducted to determine whether or not and to what degree the species come into contact with the primary stressor, i.e. the GM plant including the transgene product (e.g. a Bt-toxin) or the altered composition of primary metabolic compounds (e.g. starch), or any secondary stressor required for realizing the transgenic function of the GMP, e.g. the broad spectrum herbicide for HR GM plants (step 3, Figure 2). Because the respective transgene products are integral parts of the GM plants and their expression is coupled to the physiology and metabolism of the plant, exposure of associated organisms can be multi-fold and complex. Exposure can be bitrophic via the GM plant including any metabolites of the transgene products in residues, fluids (e.g. phloem) or secretions (e.g. nectar, root exudates). Exposure of higher order consumers can occur through multitrophic exposure routes when the transgene products move through the food web. Also, after movement and expression of the transgenes in other genetic contexts (e.g. wild relatives), an entirely different suite of organisms can get into contact with the novel transgene products. The same holds true after spread of the transgene products, such as the Bt-toxin including any metabolites, away from the field of release of the GM plant e.g. embedded in wind dispersed GM pollen or in GM plant residue washed into water systems like ponds, lakes, creeks and rivers, or leaching of transgene products into the soil. Determination of the possible exposure pathways requires a solid characterization of the GM plant and the expressed novel traits and accompanying management systems. Hence, this step builds on and is only as good as the information collated in the previous component I. Because GM plants can multiply and spread via pollen and seed flow, this exercise will differ significantly from an exposure analysis of chemicals.
Currently, there exists little if any data on biogeochemical cycling, spread and fate of transgene products in the above- and below-ground ecosystems of the receiving environments and their potentially changing bioactivity and metabolites in the varying environmental media (e.g. different soils, composts, manures). Few studies published to date have confirmed the suspected spread of Bt-toxins through food chains in the agroecosystem [36–39]. Epigaeic predators (ground beetles of the genus Carabidae) collected in fields where Bt-crops had been grown two years before still contained Bt-toxin at a detectable level . Bt-toxins from GM plants enter the ecosystem via many routes; embedded in living and decaying plant material, pollen or as toxin leaching and exudated from roots  and in faeces from insects and animals such as cows fed with Bt-maize feed [41, 42]. However, the bioactivity of such metabolites remains unknown to date. Several experiments studied the impact of Bt-crop plant material on soil organisms with variable results ranging from some effects to transient effects to no effects [43, 44].
All of these studies focused on terrestrial agroecosystems. Only recently, the first papers were published that documented the input of transgene products or transgene DNA into aquatic systems, headwater streams and rivers  and connected them to possible adverse effects on some aquatic organisms [46, 47]. Larger - and if possible coordinated - research and screening efforts are necessary to fully understand the spatio-temporal dimension of spread, persistence and bioactivity of the novel transgene products, like the Bt-toxins, and their metabolites embedded within or stemming from the GM plants in the various receiving ecosystems.
The information compiled in this component II will allow to further reduce the number of testing species from component I to those that are most exposed to GM plants and their transgene products/metabolites under the assumption that these will be the ones most likely experiencing adverse effects. Modelling exposure scenarios could assist in this effort.
Illustrative classifications for types of properties, stressors, adverse effect scenarios and testable hypotheses
Property causing adverse effects
Property: insect resistance
Property: herbicide resistance
Property: altered starch composition
Mechanism: expression of toxin
Mechanism: Expression of altered EPSPS
Mechanism: down- and up-regulation of existing compounds
Primary: Bt-crop and Bt toxin as integral component
Primary: HR-crop and altered EPSPS protein as integral component
High amylopectin content
No amylose content
Adverse effect scenario
Increased mortality of a chrysopid predator feeding on an unaffected plant hopper in Bt maize leads to reduced biocontrol and higher plant hopper infestation
Reduction of the local population of a butterfly species whose larvae feed monophagously on a certain nontarget weed plant occurring mainly in oilseed rape fields.
Increased suitability of amylopectin GM potato for a virus-transmitting aphid. More aphids will now transmit more viruses and create problems for neighbouring crop plants.
Higher generational mortality among chrysopids raised on Bt maize-fed plant hoppers
Lower densities of caterpillars of the particular butterfly species in fields treated with the corresponding herbicide of the HR oilseed rape than in non-GM oilseed rape fields
Higher reproduction rate and population densities of aphids on amylopectin GM potato than on non-GM isogenic potato
Higher survival of plant hoppers on Bt maize than on isogenic maize in the presence of a similar number of same-aged chrysopid predators
For Bt-plants, as with any other plant compound, the novel toxic protein, like the Cry toxins of Bt-crops, must be expected to be ingested by almost all herbivores feeding on these crops and moving through the associated food chain. During this process, the novel protein can take on new properties as it is biochemically altered/broken down during the passage through the various gut milieus and may exert effects at higher trophic levels in an entirely unexpected way. Such effects cannot be predicted for example from the known mode of action stemming almost exclusively from a very restricted group of organisms, the target pest herbivores .
For GM HR crops, the stressor is the GM plant that triggers a secondary stressor, the application of broad spectrum herbicides like glyphosate or glufosinate. The use of these herbicides that were registered a long time ago can differ significantly in conjunction with HR crops from its conventional use and may give rise to adverse effect scenarios beyond and above those under its conventional use (see Farm Scale Evaluations) .
In the starch-altered GM crops, primary compound composition will be substantially if not radically altered compared to their conventional counterparts. For example, amylose synthesis is down-regulated close to nil while amylopectin production is up-regulated and constitutes the almost sole starch component in such a GM crop. Altered primary metabolism (e.g. starch) must also be expected to affect the food chain associated with these GM plants . In the ecological and entomological scientific literature evidence for the mutual influence of plant compounds and herbivores on the evolution of both, the plants and their (pest) herbivores has been reported [50, 51].
Experiments are necessary to deliver solid data that confirm or refute predicted routes of exposure, bioactivity and to the extent possible, quantifies the exposure level (delivering basic data on transgene product metabolism and biological cycling). Developing adverse effect scenarios builds on the confirmed exposure routes of this component and the information compiled on the ecological function(s) of the candidate species in the previous component I. Please note, since only those candidate species have remained for this component that have an important ecological function, any adverse effect would be significant. Likewise, it may well be possible to eliminate a number of adverse effect scenarios already at this early stage if a critical exposure pathway can be proven to be non-existent or highly unlikely. For instance, if it can be determined that Bt-toxins are not present in phloem and xylem sap of GM Bt-plants at this stage, a whole range of adverse effect scenarios arising from exposure of aphids, that feed exclusively on plant sap, and their associated food chain(s), including many important natural enemies, can be eliminated. Consequently, component II is critical for further reduction of the candidate testing organisms from Component I to those with the highest anticipated exposure. The outcome of this component II is a map of all identified exposure pathways and routes of spread of the GM crop plant, its transgenes and transgene products or the secondary stressors required for the realization of the benefit of the GM crop. To do this formally and in a transparent fashion, the use of the risk analysis tools called 'Event-Tree Analysis' and 'Fault-Tree Analysis' is recommended . Fault- and Event-Tree Analyses are complementary tools used in risk assessment that were originally developed by engineers identifying critical steps in complex engineering processes, e.g. aviation or large scale industrial production facilities. In a modified form, they have been used for environmental purposes and different ecological systems [53–55]. While, fault-trees work 'top-down' beginning with a failure event (i.e. 'top-event'), event-trees work 'bottom-up' starting with an 'initiating event'. Both tools graphically lay out all of the parallel and sequential combinations of events that can lead to a particular 'top event' or arise from a particular 'initiating event'. This structured, logical approach allows to rigorously evaluate the potential of these events to occur based on scientific data and expert knowledge, and identifies what data and information is necessary to determine reliably the outcome and the gaps of knowledge associated with the possible events (Table 2).
The main activity in component III of the ERA framework is the implementation of the testing plan developed in the two previous components (Figure 2). It corresponds in such directly to the provision for 'evaluation of the potential consequences of each adverse effect, if it occurs' of the Directive 2001/18/EC . The aim is to measure whether the GM plant, it's intended (or perhaps anticipated unintended) use, or the transgene product can affect structural or functional endpoints. Testing should be carried out in a step-wise fashion [2, 3]. The step-by-step principle means that the containment of genetically engineered organisms is reduced and the scale of release is increased gradually, moving from the laboratory to large-scale field testing in several steps provided the data obtained at the earlier steps give no reason for concern. This is because interactions with the environment can induce significant differences in evolutionary and ecological parameters for better or worse but certainly unpredictably.
Especially, if significant uncertainties remain at one level - which is inevitably the case if only a small set of tests is carried out with surrogate proteins - it is necessary to proceed to the next level with caution. Given that GMOs can self-reproduce and spread, overlooked adverse effects can be difficult or impossible to recall once released into nature. As GM plants and their biochemical products can take on different properties in different environments and at different ecological organisational levels (e.g. when moving up the food chain, see above), data documenting/confirming the lack of evidence of adverse effects must be produced at every testing level (Figure 3). In contrast, if at a lower hierarchical level, i.e. laboratory or greenhouse, a high, difficult to manage adverse effect is determined, no further testing may be necessary if the GM plant will not pass the minimum safety requirements (Figure 3). However, failure criteria for environmental safety assessments of GM organisms have yet to be determined and examined in practice.
If data obtained at higher hierarchical levels do not support or confirm findings at lower hierarchical levels, additional laboratory testing with modified experimental protocols may be necessary to complete the scientific understanding of the functioning of the GM plant before moving to experiments at yet higher hierarchical levels with less or no confinement. Hence, our developed testing strategy is iterative and grounded in newly generated scientific data (Figure 3). The primary function of lower hierarchical level testing is to provide data that allows to focus and to inform the designing of experiments to be conducted at higher hierarchical levels. The testing strategy has to be driven by a coherent research risk hypothesis and strategy from the lowest to the highest tier of testing - a 'red thread' connecting the tiered testing programme is essential.
In this component of the ERA framework (Figure 1), the risk is characterised by combining and comparing the obtained data and information of the previous three components. While the emphasis is placed on quantitative data, all gathered qualitative information is also integrated here. This concurs with the provision of the 'estimation of the risk posed by each identified characteristic of the GMO(s)' put forward in the Directive 2001/18/EC ). If at a realistic exposure level, significant effects can occur, a risk for the environment is probable. Several outcomes are possible: A high to moderate risk can occur when a strong adverse effect occurs at a low or moderate exposure level, or, vice versa, when high exposure (i.e. extensive in space and time) induces a low to moderate adverse effect. Limited exposure and small adverse effects (e.g. low toxicity) can result in low risks, while the opposite is true when a strong effect coincides with high exposure.
The outcome of activities in this component is a list of potential risks with an estimation of their strength (high, moderate or low) that were experimentally confirmed. Rejected potential adverse effect hypotheses that could experimentally be proven as unlikely or minor or non-existent are excluded. Equally important, the delimitation of the ERA and transparent documentation of remaining uncertainties is identified here. From this, guidance for possible risk management strategies and monitoring plans can be derived.
Despite over 10 years of large scale commercial production of GM crops in at least five countries, no consensus on the applied ERA methodologies, let alone agreed standardised testing procedures exist. Our proposed concept allows us to alleviate a number of deficits identified in the current approach to ERA of GM plants. Firstly, it integrates a procedure for selection of testing organisms in the formal risk assessment process that, for one, do occur in the receiving environment and, secondly, have an important role for those ecological functions that are critical for a sustainable production of the particular crop. Further, by devising a selection procedure that is embedded in the components of ERA, it optimally supports the decision making process. In our approach, only those species will be subjected to testing that end up being ranked highest regarding their importance for fundamental ecological functions in that crop and the greatest likelihood of significant exposure. Hence, observed adverse effects would constitute a biologically and ecologically meaningful result of concern that merits further investigation or surveillance. Further, since the GM plant is at the centre of the testing programme, all possible effects, direct and indirect, cumulative and interaction effects are included, thus, complying with the provision of the EU regulations [2, 3]. Additionally, as science-based risk hypotheses and testing protocols are both derived from the selection procedure of testing organism, it also meets the call for hypothesis-driven testing regimes  and for 'a method to select the most important problems' . Developing and ranking adverse effect scenarios and formulating testable risk hypotheses are key elements of our approach. Further improvements of this concept should now be carried out in the course of its application to actual cases in an EU context.
However, we distinctly disagree with the proposal that ERA of GMOs could be entirely a desk exercise based on 'data collected for other purposes' and may not require the 'acquisition of new data' as put forward by developers [59, 60]. This leads to the current situation that new GM maize cultivars combining and stacking different Bt toxins by conventional crossing of various GM maize varieties enter the market largely untested. A case in point is the new Bt-maize event called 'Smartstax' that was recently registered for environmental release in the USA and Canada [61, 62]. This GM maize combines six insecticidal Bt-toxins and resistance genes for two broad-spectrum herbicides and entered the market with close to no testing for toxic or environmental impacts relying entirely on 'the environmental risk assessment of the individual events' - except for one additional study with an unspecified non-target organism, the results of which are not even summarised . In our view, this is not science based, lacks the required precaution and entirely puts the discovery of any potential adverse interaction, cumulative, indirect and long-term effect of the combined potpourri of six toxins and two herbicide residues on human and animal health and the environment in the marketing phase, i.e. the farmer and consumer. In contrast and consistent with the currently still prevailing interpretation of the ERA requirements, the developers did deliver data on target effects but almost none on non-target organisms. Just as no developer could possibly construct and deliver a reliably efficacious GM organism (i.e. deliver the benefits) based on 'data collected entirely for other purposes' or without 'new data' for and with that particular GM organism, its environmental biosafety cannot be demonstrated without 'new data'. The same ecological and biological principles that preclude the former do so for the latter.
This project was supported by the German Federal Agency for Nature Conversation (BfN) Research & Development Grant No. 805 64 005, Title 'Analysis and validation of present ecotoxicological test methods and strategies for the risk assessment of GMPs'
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