Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6315664 | Environmental Pollution | 2016 | 5 Pages |
Abstract
The emergence of omics approaches in environmental research has enhanced our understanding of the mechanisms underlying toxicity; however, extrapolation from molecular effects to whole-organism and population level outcomes remains a considerable challenge. Using environmentally relevant, sublethal, concentrations of two metals (Cu and Ni), both singly and in binary mixtures, we integrated data from traditional chronic, partial life-cycle toxicity testing and metabolomics to generate a statistical model that was predictive of reproductive impairment in a Daphnia pulex-pulicaria hybrid that was isolated from an historically metal-stressed lake. Furthermore, we determined that the metabolic profiles of organisms exposed in a separate acute assay were also predictive of impaired reproduction following metal exposure. Thus we were able to directly associate molecular profiles to a key population response - reproduction, a key step towards improving environmental risk assessment and management.
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Authors
Nadine S. Taylor, Jennifer A. Kirwan, Craig Johnson, Norman D. Yan, Mark R. Viant, John M. Gunn, James C. McGeer,