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藻类对化学物质的敏感性与系统发育相关的多变量模式。

Multivariate patterns of algal sensitivity to chemicals in relation to phylogeny.

作者信息

Wängberg S A, Blanck H

机构信息

Department of Plant Physiology, University of Göteborg, Sweden.

出版信息

Ecotoxicol Environ Saf. 1988 Aug;16(1):72-82. doi: 10.1016/0147-6513(88)90018-8.

Abstract

Species-dependent variations in algal sensitivity make predictions from conventional algal growth tests uncertain. The use of test batteries comprising several unialgal tests improves the predictive value drastically. To select the members for an optimal test battery is a multivariate problem. To be an efficient member of the battery a species should have a sensitivity pattern that is complementary to the other members. Sensitivity patterns were analyzed with a principal component method (SIMCA). Toxicity data for 19 chemical compounds and 16 microalgal strains were used as input in the analysis. Two separate groups with significantly different sensitivity patterns were recognized, belonging to Chlorococcales and Cyanophyta, respectively. No algal species, belonging to other taxa of Chlorophyta or to Xanthophyta, had sensitivity patterns that fitted into any of the two groups. It is concluded that the phylogeny of the algae is toxicologically relevant and as a tentative strategy for test battery design we suggest that a taxonomically wide range of algal species should be used.

摘要

藻类敏感性的物种依赖性差异使得根据传统藻类生长试验进行的预测具有不确定性。使用包含多个单种藻类试验的试验组合可大幅提高预测价值。选择最佳试验组合的成员是一个多变量问题。要成为试验组合的有效成员,一个物种的敏感性模式应与其他成员互补。采用主成分法(SIMCA)分析敏感性模式。19种化合物和16种微藻菌株的毒性数据用作分析的输入。识别出两个敏感性模式显著不同的独立组,分别属于绿球藻目和蓝藻门。属于绿藻门其他分类群或黄藻门的藻类物种,其敏感性模式均不属于这两组中的任何一组。结论是藻类的系统发育在毒理学上具有相关性,作为试验组合设计的初步策略,我们建议应使用分类学范围广泛的藻类物种。

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