Novel transgenic medaka models to detect disruption of sex hormone signalling and gonadal development

2016 
The toxic pressure of endocrine disruptors on biodiversity and human health has increased significantly over recent decades. As a consequence tools are needed to detect and monitor endocrine disruptors in surface water and to determine the endocrine disrupting potential of newly introduced chemicals. Fish and amphibian larvae, notably the medaka (Oryzias latipes) and Xenopus laevis, offer multiple advantages in this context. In the research carried out in the context of this thesis, different novel medaka-based transgenic models were developed. First, transgenic ChgH-gfp medaka model was designed and optimized for the rapid detection of estrogens and aromatase inhibitors. The model shows significant response within 24 hours with a sensitivity of 15 ng/L ethinylestradiol. Second, a double transgenic 42sp50-gfp_ChgH-gfp medaka which exhibits fluorescence both in the liver in response to estrogens and in developing oocytes as a function of phenotypic sex. It is therefore a suitable model for studying the link between estrogen axis signalling and aberrations of sex determination in fish. Third, a novel spiggin-gfp medaka model was developed to detect androgens and anti-androgens. This model can be exploited in a 96-hour assay with a sensitivity of 1.5 μg/L 17α- methyltestosterone and 276 μg/L flutamide. The novel transgenic medaka models developed in this thesis allow rapid, simple and reliable detection of estrogen and androgen axis disruption and aberrations in medaka sex determination. They have been successfully applied to detect endocrine disruptors in environmental surface water and to assess chemicals with unknown endocrine disrupting potential. Taken together these results demonstrate the applicability of medaka reporter larvae as biological tools in the procedure of detection and characterization of endocrine disruptors.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    0
    References
    0
    Citations
    NaN
    KQI
    []