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    • 教授     博士生导师   硕士生导师
    • 性别:男
    • 毕业院校:奥地利University of Graz
    • 学位:博士
    • 所在单位:环境学院
    • 学科:环境工程. 环境科学. 水科学与技术
    • 办公地点:大连理工大学环境学院
    • 联系方式:0411-84706140
    • 电子邮箱:quanxie@dlut.edu.cn

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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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    论文类型:期刊论文

    发表时间:2018-08-01

    发表刊物:INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH

    收录刊物:PubMed、SCIE、SSCI

    卷号:15

    期号:8

    ISSN号:1660-4601

    关键字:zebrafish; microarray; gene expression; pathway enrichment; endocrine disruption; human disease

    摘要: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.