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一种新的方法用于对淡水节肢动物的杀虫剂模式特异性敏感性进行排序,并将其与生物学特征联系起来。

A new method for ranking mode-specific sensitivity of freshwater arthropods to insecticides and its relationship to biological traits.

机构信息

Alterra, Wageningen University and Research Centre, P.O. Box 47, 6700 AA Wageningen, The Netherlands.

Department of Aquatic Ecology and Water Quality Management, Wageningen University, P.O. Box 47, 6700 AA Wageningen, The Netherlands.

出版信息

Environ Toxicol Chem. 2010 Feb;29(2):476-487. doi: 10.1002/etc.55.

Abstract

The problem of how to deal with species sensitivity differences to toxic substances has been addressed successfully with the species sensitivity distribution (SSD), yet this has not increased understanding about the underlying mechanisms of sensitivity. Other researchers have identified the mode of action of chemicals and also biological traits of species as determinants for sensitivity, yet no systematic approach combines these factors. To achieve this, first existing data on organophosphate, carbamate, and pyrethroid toxicity and mode of action and also species trait information were mined. Second, we linked taxon sensitivity to their traits at the family level to generate empirical and mechanistic hypotheses about sensitivity-trait relationships. In this way, a mode-specific sensitivity (MSS) ranking method was developed, and tested at the taxonomic level of family and genus. The application of several quality criteria indicated overall confidence in rankings, but confidence in exact taxon rank was less certain, due to data insufficiency for certain groups. The MSS rankings were found to be applicable for trait-based approaches and were successfully linked to existing trait data to identify traits with predictive potential. Although this empirical analysis cannot test causality relationships between traits and sensitivity, testable hypotheses were generated, for further experimental investigation. Single traits as well as combinations of traits can be used to predict laboratory sensitivity to the substances tested, although associations were not as strong as in previous studies. We conclude that existing trait data are not suitable for every trait-based research question and that important traits remain to be identified and quantified in relation to the processes of toxicity, i.e., the toxicokinetics and toxicodynamics.

摘要

如何处理物种对有毒物质敏感性差异的问题已通过物种敏感性分布(SSD)成功解决,但这并没有增加对敏感性潜在机制的理解。其他研究人员已经确定了化学物质的作用模式和物种的生物特征是敏感性的决定因素,但没有系统的方法将这些因素结合起来。为此,首先挖掘了有关有机磷、氨基甲酸酯和拟除虫菊酯毒性和作用模式以及物种特征信息的现有数据。其次,我们将分类单元的敏感性与其在科水平上的特征联系起来,以生成关于敏感性-特征关系的经验和机制假设。通过这种方式,开发了一种特定模式的敏感性(MSS)排序方法,并在科和属的分类学水平上进行了测试。应用几种质量标准表明对排序的总体置信度,但对特定类别的确切分类单元等级的置信度较低,因为某些群体的数据不足。发现 MSS 等级适用于基于特征的方法,并成功地与现有特征数据相关联,以识别具有预测潜力的特征。尽管这种实证分析不能测试特征与敏感性之间的因果关系,但生成了可进一步实验研究的可测试假设。单一特征以及特征组合可用于预测对测试物质的实验室敏感性,尽管关联不如以前的研究强。我们得出的结论是,现有的特征数据并不适合每个基于特征的研究问题,并且与毒性过程(即毒代动力学和毒效动力学)相关的重要特征仍有待确定和量化。

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