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Mixed phylogenetic signal in fish toxicity data across chemical classes

Hylton, Andrew; Chiari, Ylenia; Capellini, Isabella; Barron, Mace G.; Glaberman, Scott


Andrew Hylton

Ylenia Chiari

Isabella Capellini

Mace G. Barron

Scott Glaberman


Chemical use in society is growing rapidly and is one of the five major pressures on biodiversity worldwide. Since empirical toxicity studies of pollutants generally focus on a handful of model organisms, reliable approaches are needed to assess sensitivity to chemicals across the wide variety of species in the environment. Phylogenetic comparative methods (PCM) offer a promising approach for toxicity extrapolation incorporating known evolutionary relationships among species. If phylogenetic signal in toxicity data is high, i.e., closely related species are more similarly sensitive as compared to distantly related species, PCM could ultimately help predict species sensitivity when toxicity data are lacking. Here, we present the largest ever test of phylogenetic signal in toxicity data by combining phylogenetic data from fish with acute mortality data for 42 chemicals spanning 10 different chemical classes. Phylogenetic signal is high for some chemicals, particularly organophosphate pesticides, but not necessarily for many chemicals in other classes (e.g., metals, organochlorines). These results demonstrate that PCM may be useful for toxicity extrapolation in untested species for those chemicals with clear phylogenetic signal. This study provides a framework for using PCM to understand the patterns and causes of variation in species sensitivity to pollutants.


Hylton, A., Chiari, Y., Capellini, I., Barron, M. G., & Glaberman, S. (2018). Mixed phylogenetic signal in fish toxicity data across chemical classes. Ecological applications : a publication of the Ecological Society of America, 28(3), 605-611.

Journal Article Type Article
Acceptance Date Jan 18, 2018
Online Publication Date Apr 20, 2018
Publication Date Apr 20, 2018
Deposit Date Jan 29, 2018
Publicly Available Date Oct 27, 2022
Print ISSN 1051-0761
Publisher Ecological Society of America
Peer Reviewed Peer Reviewed
Volume 28
Issue 3
Pages 605-611
Keywords Ecotoxicology, Ecological Risk Assessment, Fish, Phylogenetic Comparative Methods
Public URL
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Copyright Statement
©2018 by the Ecological Society of America

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