系统发育只能预测水生动物对少数化学物质的敏感性。

IF 2.4 4区 环境科学与生态学 Q2 ECOLOGY
Ecotoxicology Pub Date : 2024-10-01 Epub Date: 2024-07-22 DOI:10.1007/s10646-024-02791-7
Alice L Coleman, Suzanne Edmands
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引用次数: 0

摘要

在化学品暴露对水生生物的影响方面,我们的经验知识还存在很大差距,而这些差距不可能仅通过传统的实验室毒性测试来弥补。跨物种外推法(CSE)是产生新毒性数据的一种可能的替代方法,它是一种统计方法,利用现有数据预测化学品对未经测试物种的影响。一些 CSE 模型使用亲缘关系作为化学敏感性的预测指标,但对于共同的进化史对所有化学物质敏感性的影响程度,人们知之甚少。为了解决这个问题,我们利用从分类学中推断出的系统发育关系,对大量化学品的水生动物毒性数据中的系统发育信号进行了调查。在三十六个毒性数据集中,仅有九个存在强烈的系统发生学信号,而且这些具有强烈信号的数据集之间没有明显的共同属性。即使在专门针对昆虫开发的化学品中,强信号也很罕见,这意味着这些化学品可能对非目标类群(包括脊索动物)同样致命。当信号较强时,数据中会出现明显的敏感性模式,这可能会在收集毒性数据集供监管使用时提供信息。虽然大多数化学品的水生毒性数据中似乎并不存在强信号,但我们鼓励对毒性数据进行更多的系统发生学评估,以指导 CSE 工具的选择,并以此为手段,探索生命多样性中的化学品敏感性模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Phylogeny predicts sensitivity in aquatic animals for only a minority of chemicals.

Phylogeny predicts sensitivity in aquatic animals for only a minority of chemicals.

There are substantial gaps in our empirical knowledge of the effects of chemical exposure on aquatic life that are unlikely to be filled by traditional laboratory toxicity testing alone. One possible alternative of generating new toxicity data is cross-species extrapolation (CSE), a statistical approach in which existing data are used to predict the effect of a chemical on untested species. Some CSE models use relatedness as a predictor of chemical sensitivity, but relatively little is known about how strongly shared evolutionary history influences sensitivity across all chemicals. To address this question, we conducted a survey of phylogenetic signal in the toxicity data from aquatic animal species for a large set of chemicals using a phylogeny inferred from taxonomy. Strong phylogenetic signal was present in just nine of thirty-six toxicity datasets, and there were no clear shared properties among those datasets with strong signal. Strong signal was rare even among chemicals specifically developed to target insects, meaning that these chemicals may be equally lethal to non-target taxa, including chordates. When signal was strong, distinct patterns of sensitivity were evident in the data, which may be informative when assembling toxicity datasets for regulatory use. Although strong signal does not appear to manifest in aquatic toxicity data for most chemicals, we encourage additional phylogenetic evaluations of toxicity data in order to guide the selection of CSE tools and as a means to explore the patterns of chemical sensitivity across the broad diversity of life.

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来源期刊
Ecotoxicology
Ecotoxicology 环境科学-毒理学
CiteScore
5.30
自引率
3.70%
发文量
107
审稿时长
4.7 months
期刊介绍: Ecotoxicology is an international journal devoted to the publication of fundamental research on the effects of toxic chemicals on populations, communities and terrestrial, freshwater and marine ecosystems. It aims to elucidate mechanisms and processes whereby chemicals exert their effects on ecosystems and the impact caused at the population or community level. The journal is not biased with respect to taxon or biome, and papers that indicate possible new approaches to regulation and control of toxic chemicals and those aiding in formulating ways of conserving threatened species are particularly welcome. Studies on individuals should demonstrate linkage to population effects in clear and quantitative ways. Laboratory studies must show a clear linkage to specific field situations. The journal includes not only original research papers but technical notes and review articles, both invited and submitted. A strong, broadly based editorial board ensures as wide an international coverage as possible.
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