Uren Webster Tamsyn M, Shears Janice A, Moore Karen, Santos Eduarda M
Biosciences, College of Life & Environmental Sciences, University of Exeter, Exeter, United Kingdom.
Biosciences, College of Life & Environmental Sciences, University of Exeter, Exeter, United Kingdom
Physiol Genomics. 2015 Sep;47(9):420-31. doi: 10.1152/physiolgenomics.00123.2014. Epub 2015 Jun 16.
Estrogenic chemicals are major contaminants of surface waters and can threaten the sustainability of natural fish populations. Characterization of the global molecular mechanisms of toxicity of environmental contaminants has been conducted primarily in model species rather than species with limited existing transcriptomic or genomic sequence information. We aimed to investigate the global mechanisms of toxicity of an endocrine disrupting chemical of environmental concern [17β-estradiol (E2)] using high-throughput RNA sequencing (RNA-Seq) in an environmentally relevant species, brown trout (Salmo trutta). We exposed mature males to measured concentrations of 1.94, 18.06, and 34.38 ng E2/l for 4 days and sequenced three individual liver samples per treatment using an Illumina HiSeq 2500 platform. Exposure to 34.4 ng E2/L resulted in 2,113 differentially regulated transcripts (FDR < 0.05). Functional analysis revealed upregulation of processes associated with vitellogenesis, including lipid metabolism, cellular proliferation, and ribosome biogenesis, together with a downregulation of carbohydrate metabolism. Using real-time quantitative PCR, we validated the expression of eight target genes and identified significant differences in the regulation of several known estrogen-responsive transcripts in fish exposed to the lower treatment concentrations (including esr1 and zp2.5). We successfully used RNA-Seq to identify highly conserved responses to estrogen and also identified some estrogen-responsive transcripts that have been less well characterized, including nots and tgm2l. These results demonstrate the potential application of RNA-Seq as a valuable tool for assessing mechanistic effects of pollutants in ecologically relevant species for which little genomic information is available.
雌激素类化学物质是地表水体的主要污染物,可能威胁天然鱼类种群的可持续性。对环境污染物毒性的全球分子机制的表征主要是在模式物种中进行的,而非在现有转录组或基因组序列信息有限的物种中进行。我们旨在利用高通量RNA测序(RNA-Seq)技术,在与环境相关的物种褐鳟(Salmo trutta)中研究一种受环境关注的内分泌干扰化学物质[17β-雌二醇(E2)]的全球毒性机制。我们将成熟雄性褐鳟暴露于1.94、18.06和34.38 ng E2/l的测量浓度下4天,并使用Illumina HiSeq 2500平台对每个处理组的三个肝脏样本进行测序。暴露于34.4 ng E2/L导致2113个差异调节转录本(FDR < 0.05)。功能分析显示,与卵黄生成相关的过程上调,包括脂质代谢、细胞增殖和核糖体生物发生,同时碳水化合物代谢下调。使用实时定量PCR,我们验证了八个靶基因的表达,并确定了在较低处理浓度下暴露的鱼类中几种已知雌激素反应转录本的调节存在显著差异(包括esr1和zp2.5)。我们成功地利用RNA-Seq鉴定了对雌激素的高度保守反应,还鉴定了一些表征较少的雌激素反应转录本,包括nots和tgm2l。这些结果证明了RNA-Seq作为一种有价值的工具在评估污染物对几乎没有基因组信息的生态相关物种的机制效应方面的潜在应用。