Species Sensitivity to Toxic Substances: Evolution, Ecology and Applications
Because it is only possible to test chemicals for effects on a restricted range of species and exposure scenarios, ecotoxicologists are faced with a significant challenge of how to translate the measurements in model species into predictions of impacts for the wider range of species in ecosystems. B...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2020-12-01
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Series: | Frontiers in Environmental Science |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2020.588380/full |
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author | David Spurgeon Elma Lahive Alex Robinson Stephen Short Peter Kille |
author_facet | David Spurgeon Elma Lahive Alex Robinson Stephen Short Peter Kille |
author_sort | David Spurgeon |
collection | DOAJ |
description | Because it is only possible to test chemicals for effects on a restricted range of species and exposure scenarios, ecotoxicologists are faced with a significant challenge of how to translate the measurements in model species into predictions of impacts for the wider range of species in ecosystems. Because of this challenge, within ecotoxicology there is no more fundamental aspect than to understand the nature of the traits that determine sensitivity. To account for the uncertainties of species extrapolations in risk assessment, “safety factors” or species sensitivity distributions are commonly used. While valuable as pragmatic tools, these approaches have no mechanistic grounding. Here we highlight how mechanistic information that is increasingly available for a range of traits can be used to understand and potentially predict species sensitivity to chemicals. We review current knowledge on how toxicokinetic, toxicodynamic, physiological, and ecological traits contribute to differences in sensitivity. We go on to discuss how this information is being used to make predictions of sensitivity using correlative and trait-based approaches, including comparisons of target receptor orthologs. Finally, we discuss how the emerging knowledge and associated tools can be used to enhance theoretical and applied ecotoxicological research through improvements in mechanistic modeling, predictive ecotoxicology, species sensitivity distribution development, mixture toxicity assessment, chemical design, biotechnology application and mechanistically informed monitoring. |
first_indexed | 2024-12-24T09:59:34Z |
format | Article |
id | doaj.art-2e88d62e396f4927832f80c9be8322da |
institution | Directory Open Access Journal |
issn | 2296-665X |
language | English |
last_indexed | 2024-12-24T09:59:34Z |
publishDate | 2020-12-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Environmental Science |
spelling | doaj.art-2e88d62e396f4927832f80c9be8322da2022-12-21T17:01:10ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2020-12-01810.3389/fenvs.2020.588380588380Species Sensitivity to Toxic Substances: Evolution, Ecology and ApplicationsDavid Spurgeon0Elma Lahive1Alex Robinson2Stephen Short3Peter Kille4UK Centre for Ecology & Hydrology, Wallingford, United KingdomUK Centre for Ecology & Hydrology, Wallingford, United KingdomUK Centre for Ecology & Hydrology, Wallingford, United KingdomCardiff School of Biosciences, University of Cardiff, Cardiff, United KingdomCardiff School of Biosciences, University of Cardiff, Cardiff, United KingdomBecause it is only possible to test chemicals for effects on a restricted range of species and exposure scenarios, ecotoxicologists are faced with a significant challenge of how to translate the measurements in model species into predictions of impacts for the wider range of species in ecosystems. Because of this challenge, within ecotoxicology there is no more fundamental aspect than to understand the nature of the traits that determine sensitivity. To account for the uncertainties of species extrapolations in risk assessment, “safety factors” or species sensitivity distributions are commonly used. While valuable as pragmatic tools, these approaches have no mechanistic grounding. Here we highlight how mechanistic information that is increasingly available for a range of traits can be used to understand and potentially predict species sensitivity to chemicals. We review current knowledge on how toxicokinetic, toxicodynamic, physiological, and ecological traits contribute to differences in sensitivity. We go on to discuss how this information is being used to make predictions of sensitivity using correlative and trait-based approaches, including comparisons of target receptor orthologs. Finally, we discuss how the emerging knowledge and associated tools can be used to enhance theoretical and applied ecotoxicological research through improvements in mechanistic modeling, predictive ecotoxicology, species sensitivity distribution development, mixture toxicity assessment, chemical design, biotechnology application and mechanistically informed monitoring.https://www.frontiersin.org/articles/10.3389/fenvs.2020.588380/fullecotoxicologytoxicokineticstoxicodynamicsmechanism of actionpredictive ecotoxicology |
spellingShingle | David Spurgeon Elma Lahive Alex Robinson Stephen Short Peter Kille Species Sensitivity to Toxic Substances: Evolution, Ecology and Applications Frontiers in Environmental Science ecotoxicology toxicokinetics toxicodynamics mechanism of action predictive ecotoxicology |
title | Species Sensitivity to Toxic Substances: Evolution, Ecology and Applications |
title_full | Species Sensitivity to Toxic Substances: Evolution, Ecology and Applications |
title_fullStr | Species Sensitivity to Toxic Substances: Evolution, Ecology and Applications |
title_full_unstemmed | Species Sensitivity to Toxic Substances: Evolution, Ecology and Applications |
title_short | Species Sensitivity to Toxic Substances: Evolution, Ecology and Applications |
title_sort | species sensitivity to toxic substances evolution ecology and applications |
topic | ecotoxicology toxicokinetics toxicodynamics mechanism of action predictive ecotoxicology |
url | https://www.frontiersin.org/articles/10.3389/fenvs.2020.588380/full |
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