Institute for Environmental Research, RWTH Aachen University, Worringerweg 1, 52074, Aachen, Germany.
Institute of Toxicology and Genetics, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany.
Environ Sci Pollut Res Int. 2018 Feb;25(5):4023-4036. doi: 10.1007/s11356-017-8977-6. Epub 2017 Apr 8.
In ecotoxicology, transcriptomics is an effective way to detect gene expression changes in response to environmental pollutants. Such changes can be used to identify contaminants or contaminant classes and can be applied as early warning signals for pollution. To do so, it is important to distinguish contaminant-specific transcriptomic changes from genetic alterations due to general stress. Here we present a first step in the identification of contaminant class-specific transcriptome signatures. Embryos of zebrafish (Danio rerio) were exposed to three substances (methylmercury, chlorpyrifos and Aroclor 1254, each from 24 to 48 hpf exposed) representing sediment typical contaminant classes. We analyzed the altered transcriptome to detect discriminative genes significantly regulated in reaction to the three applied contaminants. By comparison of the results of the three contaminants, we identified transcriptome signatures and biologically important pathways (using Cytoscape/ClueGO software) that react significantly to the contaminant classes. This approach increases the chance of finding genes that play an important role in contaminant class-specific pathways rather than more general processes.
在生态毒理学中,转录组学是一种检测基因表达变化以响应环境污染物的有效方法。这些变化可用于识别污染物或污染物类别,并可作为污染的预警信号。为此,区分污染物特异性转录组变化与由于一般应激引起的遗传改变非常重要。在这里,我们介绍了识别污染物类别特异性转录组特征的第一步。斑马鱼(Danio rerio)胚胎暴露于三种物质(甲基汞、毒死蜱和 Aroclor 1254,分别在 24 至 48 hpf 暴露),这些物质代表了沉积物中典型的污染物类别。我们分析了改变的转录组,以检测对三种应用污染物反应显著调节的差异基因。通过比较三种污染物的结果,我们确定了转录组特征和具有生物学意义的途径(使用 Cytoscape/ClueGO 软件),这些途径对污染物类别有显著反应。这种方法增加了找到在污染物类别特异性途径中发挥重要作用的基因的机会,而不是更普遍的过程。