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Transcriptomic Profiles in Zebrafish Liver Permit the Discrimination of Surface Water with Pollution Gradient and Different Discharges

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  • Zhou Zhang

    (Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China)

  • Wei Liu

    (Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China
    These authors contributed equally to this work.)

  • Yuanyuan Qu

    (Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China)

  • Xie Quan

    (Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China)

  • Ping Zeng

    (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Science, Beijing 100012, China)

  • Mengchang He

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)

  • Yanmei Zhou

    (Department of Civil and Environmental Engineering, Beijing Key Laboratory of Aqueous Typical Pollutants Control and Water Quality Safeguard, Beijing Jiaotong University, Beijing 100044, China
    These authors contributed equally to this work.)

  • Ruixia Liu

    (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Science, Beijing 100012, China
    These authors contributed equally to this work.)

Abstract

The present study aims to evaluate the potential of transcriptomic profiles in evaluating the impacts of complex mixtures of pollutants at environmentally relevant concentrations on aquatic vertebrates. The changes in gene expression were determined using microarray in the liver of male zebrafish ( Danio rerio ) exposed to surface water collected from selected locations on the Hun River, China. The numbers of differentially expressed genes (DEGs) in each treatment ranged from 728 to 3292, which were positively correlated with chemical oxygen demand (COD). Predominant transcriptomic responses included peroxisome proliferator-activated receptors (PPAR) signaling and steroid biosynthesis. Key pathways in immune system were also affected. Notably, two human diseases related pathways, insulin resistance and Salmonella infection were enriched. Clustering analysis and principle component analysis with DEGs differentiated the upstream and downstream site of Shenyang City, and the mainstream and the tributary sites near the junction. Comparison the gene expression profiles of zebrafish exposed to river surface water with those to individual chemicals found higher similarity of the river water with estradiol than several other organic pollutants and metals. Results suggested that the transcriptomic profiles of zebrafish is promising in differentiating surface water with pollution gradient and different discharges and in providing valuable information to support discharge management.

Suggested Citation

  • Zhou Zhang & Wei Liu & Yuanyuan Qu & Xie Quan & Ping Zeng & Mengchang He & Yanmei Zhou & Ruixia Liu, 2018. "Transcriptomic Profiles in Zebrafish Liver Permit the Discrimination of Surface Water with Pollution Gradient and Different Discharges," IJERPH, MDPI, vol. 15(8), pages 1-14, August.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:8:p:1648-:d:161783
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    References listed on IDEAS

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    1. Kerstin Howe & Matthew D. Clark & Carlos F. Torroja & James Torrance & Camille Berthelot & Matthieu Muffato & John E. Collins & Sean Humphray & Karen McLaren & Lucy Matthews & Stuart McLaren & Ian Sea, 2013. "The zebrafish reference genome sequence and its relationship to the human genome," Nature, Nature, vol. 496(7446), pages 498-503, April.
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