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Differential gene expression of Australian Cricotopus draysoni (Diptera: Chironomidae) populations reveals seasonal association in detoxification gene regulation

机译:澳大利亚Cri鳄(Diptera:Chironomidae)种群的差异基因表达揭示了排毒基因调控的季节性关联

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摘要

Understanding the molecular mechanisms of organismal response to human-derived ecosystem change is recognised as a critical tool in monitoring and managing impacts, especially in freshwater systems. Fundamental to this approach is to determine the genes involved in responding to ecosystem change and detect modifications to their expression and activity in natural populations. Potential targets for this approach include well-known detoxification genes that are upregulated in response to stress. Here, we tested whether expression of such genes varied in association with differences in ecosystem health and could be detected in the field. We sampled populations of the freshwater midge, Cricotopus draysoni, from two geographically proximate sites in southeast Queensland, Australia, which differed in their ecosystem health, at multiple time points. We assessed transcriptome-level differential gene expression and predicted greatest differential expression between sites, associated with organismal responses to local physico-chemical factors. In contrast, we observed a clear and dramatic difference in gene expression – including of known detoxification genes – between time points, specifically between periods at the start and end of the austral summer rainfall when in-stream water levels are most different. These data suggest that these waterways experience greatest pollution load when water levels are high following rainfall events.
机译:认识到生物对人类衍生的生态系统变化的反应的分子机制被认为是监测和管理影响的关键工具,尤其是在淡水系统中。这种方法的基础是确定参与对生态系统变化的响应的基因,并检测其在自然种群中的表达和活性的修饰。该方法的潜在靶标包括响应压力而上调的众所周知的排毒基因。在这里,我们测试了这些基因的表达是否随生态系统健康的差异而变化,并且可以在野外检测到。我们从澳大利亚昆士兰州东南部两个地理位置最近的地点取样了淡水mid,它们的生态系统健康状况在多个时间点都不同。我们评估了转录组水平的差异基因表达并预测了位点之间的最大差异表达,这与生物体对局部理化因子的反应有关。相比之下,我们观察到时间点之间,特别是在夏季夏季降雨开始和结束时(溪流水位最不相同)之间的基因表达(包括已知的排毒基因)存在明显而显着的差异。这些数据表明,降雨后水位高时,这些水道承受的污染负荷最大。

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