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      Time- and Oil-Dependent Transcriptomic and Physiological Responses to Deepwater Horizon Oil in Mahi-Mahi (Coryphaena hippurus) Embryos and Larvae

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          Abstract

          The Deepwater Horizon (DWH) oil spill contaminated the spawning habitats for numerous commercially and ecologically important fishes. Exposure to the water accommodated fraction (WAF) of oil from the spill has been shown to cause cardiac toxicity during early developmental stages across fishes. To better understand the molecular events and explore new pathways responsible for toxicity, RNA sequencing was performed in conjunction with physiological and morphological assessments to analyze the time-course (24, 48, and 96 h post fertilization (hpf)) of transcriptional and developmental responses in embryos/larvae of mahi-mahi exposed to WAF of weathered (slick) and source DWH oils. Slick oil exposure induced more pronounced changes in gene expression over time than source oil exposure. Predominant transcriptomic responses included alteration of EIF2 signaling, steroid biosynthesis, ribosome biogenesis and activation of the cytochrome P450 pathway. At 96 hpf, slick oil exposure resulted in significant perturbations in eye development and peripheral nervous system, suggesting novel targets in addition to the heart may be involved in the developmental toxicity of DHW oil. Comparisons of changes of cardiac genes with phenotypic responses were consistent with reduced heart rate and increased pericardial edema in larvae exposed to slick oil but not source oil.

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          Author and article information

          Journal
          Environmental Science & Technology
          Environ. Sci. Technol.
          American Chemical Society (ACS)
          0013-936X
          1520-5851
          July 08 2016
          July 19 2016
          July 08 2016
          July 19 2016
          : 50
          : 14
          : 7842-7851
          Affiliations
          [1 ]Department of Environmental Sciences, University of California, Riverside, California 92521, United States
          [2 ]Department of Marine Biology and Ecology, University of Miami, Miami, Florida 33149, United States
          [3 ]Center for Genomics Medicine, Medical University of South Carolina, Charleston, South Carolina 29403, United States
          [4 ]Computational Biology Resource Center, Medical University of South Carolina, Charleston, South Carolina 29403, United States
          [5 ]Departments of Medicine & Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina 29403, United States
          Article
          10.1021/acs.est.6b02205
          27348429
          bacbb73b-4475-4994-b3a7-7abb13f0691f
          © 2016
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