Author:
Garcia-Reyero Natàlia,Arick Mark A.,Woolard E. Alice,Wilbanks Mitchell,Mylroie John E.,Jensen Kathleen,Kahl Michael,Feifarek David,Poole Shane,Randolph Eric,Cavallin Jenna,Blackwell Brett R.,Villeneuve Daniel,Ankley Gerald T.,Perkins Edward J.
Abstract
AbstractContaminants 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.
Funder
GLRI
Great Lakes Restoration Initiative
Great Lakes Research Initiative
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
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