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Recommendations for the design of laboratory studies on non-target arthropods for risk assessment of genetically engineered plants

机译:设计用于转基因植物风险评估的非目标节肢动物实验室研究的建议

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摘要

This paper provides recommendations on experimental design for early-tier laboratory studies used in risk assessments to evaluate potential adverse impacts of arthropod-resistant genetically engineered (GE) plants on non-target arthropods (NTAs). While we rely heavily on the currently used proteins from Bacillus thuringiensis (Bt) in this discussion, the concepts apply to other arthropod-active proteins. A risk may exist if the newly acquired trait of the GE plant has adverse effects on NTAs when they are exposed to the arthropod-active protein. Typically, the risk assessment follows a tiered approach that starts with laboratory studies under worst-case exposure conditions; such studies have a high ability to detect adverse effects on non-target species. Clear guidance on how such data are produced in laboratory studies assists the product developers and risk assessors. The studies should be reproducible and test clearly defined risk hypotheses. These properties contribute to the robustness of, and confidence in, environmental risk assessments for GE plants. Data from NTA studies, collected during the analysis phase of an environmental risk assessment, are critical to the outcome of the assessment and ultimately the decision taken by regulatory authorities on the release of a GE plant. Confidence in the results of early-tier laboratory studies is a precondition for the acceptance of data across regulatory jurisdictions and should encourage agencies to share useful information and thus avoid redundant testing.
机译:本文为风险评估中使用的早期实验室研究的实验设计提供了建议,以评估抗节肢动物的基因工程(GE)植物对非目标节肢动物(NTA)的潜在不利影响。尽管在此讨论中我们严重依赖苏云金芽孢杆菌(Btillus thuringiensis)(Bt)的蛋白质,但这些概念也适用于其他节肢动物活性蛋白质。如果新获得的GE植物性状暴露于节肢动物活性蛋白时,对NTA产生不利影响,则可能存在风险。通常,风险评估遵循分层方法,该方法从在最坏情况下暴露条件下的实验室研究开始;这样的研究具有检测对非目标物种不利影响的高能力。在实验室研究中如何产生此类数据的明确指南可帮助产品开发人员和风险评估人员。研究应具有可重复性,并测试明确定义的风险假设。这些特性有助于GE工厂进行环境风险评估的稳健性和信心。 NTA研究的数据是在环境风险评估的分析阶段收集的,对评估的结果以及最终监管机构就GE工厂释放的决定至关重要。对早期实验室研究结果的信心是跨监管辖区接受数据的前提,并且应鼓励机构共享有用的信息,从而避免重复测试。

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