Citation:

Garcia-Reyero, N., M. Arick II, A. Woolard, M. Wilbanks, J. Mylroie, K. Jensen, M. Kahl, D. Feifarek, S. Poole, E. Randolph, J. Cavallin, B. Blackwell, Dan Villeneuve, G. Ankley, AND E. Perkins. Male fathead minnow transcriptomes and associated chemical analytes in the Milwaukee estuary system. Scientific Data. Springer Nature, New York, NY, 9:476, (2022). https://doi.org/10.1038/s41597-022-01553-6

Impact/Purpose:

Under the Great Lakes Restoration Initiative, Action Plan II the Great Lakes National Program Office outlined a commitment to identify emerging contaminants and assess impacts on Great Lakes fish and wildlife. This paper releases data on emerging contaminants detected in the Milwaukee River Estuary in 2017 and effects on gene expression in fathead minnows caged in situ during the same period. By publishing this data set, EPA ORD and associated federal partners are inviting additional investigators to explore the data in detail to draw inferences regarding the potential effects of the contaminants detected on exposed aquatic vertebrates. These results are expected to assist the binational committee in selecting contaminants of mutual concern for monitoring and investigation under subsequent GLRI action plans.

Description:

Contaminants of Emerging Concern (CECs) can be measured in waters across the United States, including the tributaries of the Great Lakes. The extent to which these contaminants affect gene expression in aquatic wildlife is unclear. This dataset presents the full hepatic transcriptomes of laboratory-reared fathead minnows (Pimephales promelas) caged at multiple sites within the Milwaukee Estuary Area of Concern and control sites. Following 4 days of in situ exposure, liver tissue was removed from males at each site for RNA extraction and sequencing, yielding a total of 116 samples from which libraries were prepared, pooled, and sequenced. For each exposure site, 179 chemical analytes were also assessed. These data were created with the intention of inviting research on possible transcriptomic changes observed in aquatic species exposed to CECs. Access to both full sequencing reads of animal samples as well as water contaminant data across multiple Great Lakes sites will allow others to explore the health of these ecosystems in support of the aims of the Great Lakes Restoration Initiative.

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