Leveraging invasive mussel contaminant survey data for stepwise prioritization of chemicals of potential concern in the Great Lakes basin
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Abstract
Historical and ongoing anthropogenic activities coupled with advancements in analytical techniques have led to the detection of large numbers of contaminants in the Laurentian Great Lakes. Consequently, identifying and prioritizing chemicals likely to cause ecological harm represents a challenge for natural resource managers. Previous prioritization efforts have focused on contaminants in sediment, water, and passive samplers, which may not be representative of compounds that bioaccumulate in aquatic organisms. Consequently, this study adopted a stepwise method to prioritize chemicals of potential concern detected in dreissenid mussels from samples collected across the Great Lakes from 2009–2018. The stepwise method considered environmental fate, detection frequency, and exceedance of toxicity quotients based on ecotoxicological effect concentrations. Overall, 153 compounds out of 267 analyzed were detected in dreissenid mussels, 47 of which had water quality effect concentrations, 56 had apical effect concentrations (Tier 1 ECOTOX or apical screening), 17 had nonapical effect concentrations (Tier 2 ECOTOX, Cytotoxic Burst, and ToxCast) and 33 had estimated effect concentrations (quantitative structure-activity relationship, estimated screening, and pharmacological potency). Of the compounds with water quality effect concentrations, nine were designated as high priority, including the herbicide atrazine and five polycyclic aromatic hydrocarbons that were previously identified as potentially hazardous within other matrices. Similar contaminants were identified as high priority in a related study of native unionid mussels in the Great Lakes. A total of 27 compounds were low priority, suggesting that these contaminants do not warrant further action based on this dataset. Overall, these findings will facilitate the development of management strategies to mitigate the effects of contaminants on aquatic organisms within the Great Lakes.
Suggested Citation
Fuller, N., Kimbrough, K., Edwards, M., Maloney, E., Corsi, S., Pronschinske, M.A., DeCicco, L., Frisch, J.R., Baldwin, A.K., Hummel, S.L., Vinas, N., and Villeneuve, D.L., 2025, Leveraging invasive mussel contaminant survey data for stepwise prioritization of chemicals of potential concern in the Great Lakes basin: Environmental Toxicology and Chemistry, v. 44, no. 7, p. 2070-2087, https://doi.org/10.1093/etojnl/vgaf072.
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Leveraging invasive mussel contaminant survey data for stepwise prioritization of chemicals of potential concern in the Great Lakes basin |
| Series title | Environmental Toxicology and Chemistry |
| DOI | 10.1093/etojnl/vgaf072 |
| Volume | 44 |
| Issue | 7 |
| Publication Date | March 17, 2025 |
| Year Published | 2025 |
| Language | English |
| Publisher | Oxford Academic |
| Contributing office(s) | Wisconsin Water Science Center, Upper Midwest Water Science Center |
| Description | 18 p. |
| First page | 2070 |
| Last page | 2087 |
| Country | Canada, United States |
| Other Geospatial | Great Lakes basin |