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Assessment of Chemical Mixtures and Groundwater Effects on Daphnia magna Transcriptomics

机译:化学混合物和地下水对水蚤转录组学的影响评估

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摘要

Small organisms can be used as biomonitoring tools to assess chemicals in the environment Chemical stressors are especially hard to assess and monitor when present as complex mixtures. Here, fifteen polymerase chain reaction assays targeting Daphnia mogia genes were calibrated to responses elicited in D. magna exposed for 24 h to fire different doses each of the munitions constituents 2,4,6-trinitrotoluene, 2,4-dmitro-toluene, 2,6-dinitrotoluene, trinitrobenzene, dinitrobenzene, or l,34-trinitro-13,5-triazacydoheiane. A piecewise-linear model for log-fold expression changes m gene assays was used to predict response to munttions mixtures and contaminated groundwater under the assumption that chemical effects were additive. The correlations of model predictions with actual expression changes ranged from 0.12 to 0.78 wifli an average of 0,5. To better understand possible mixture effects, gene expression changes from all treatments were compared using high-density microarrays. Whereas mixtures and groundwater exposures had genes and gene (unctions in common with single chemical exposures, unique functions were also affected, which was consistent with the nonadditivity of chemical effects in these mixtures. These results suggest that, while gene behavior in response to chemical exposure can be partially predicted based on chemical exposure, estimation of the composition of mixtures from chemical responses is difficult without further understanding of gene behavior in mixtures. Future work will need to examine additive and nonadditive mixture effects using a much greater range of different chemical classes in order to clarify the behavior and predictability of complex mixtures.
机译:小型生物体可用作评估环境中化学物质的生物监测工具,当以复杂混合物形式存在时,化学应激源尤其难以评估和监测。在这里,针对水蚤(Daphnia mogia)基因的十五种聚合酶链反应分析已针对暴露于D. magna中暴露24小时以发射不同剂量的各种弹药成分2,4,6-三硝基甲苯,2,4-二甲基甲苯,2引起的反应进行了校准。 1,6-二硝基甲苯,三硝基苯,二硝基苯或1,34-三硝基-13,5-三氮杂acy基。在化学作用是累加的假设下,使用基因测定中对数倍表达变化的分段线性模型来预测对to混合物和受污染的地下水的响应。模型预测与实际表达变化的相关性介于0.12到0.78之间,平均值为0.5。为了更好地理解可能的混合效应,使用高密度微阵列比较了所有处理的基因表达变化。尽管混合物和地下水暴露具有基因和基因(单次化学暴露具有共同的作用,但独特的功能也受到影响,这与这些混合物中化学作用的非可加性相一致。这些结果表明,基因行为是对化学暴露的响应可以基于化学暴露来部分预测,如果不进一步了解混合物中的基因行为,就很难通过化学反应来估计混合物的组成,未来的工作将需要使用更大范围的不同化学类别来检查加性和非加性混合物的影响。为了阐明复杂混合物的行为和可预测性。

著录项

  • 来源
    《Environmental Science & Technology》 |2012年第1期|p.42-50|共9页
  • 作者单位

    Institute for Genomics, Biocomputing and Biotechnology, Mississippi State University, Starkville, Mississippi, United States;

    Environmental Laboratories, U.S. Army Corps of Engineers, Halls Ferry Road, Vicksburg, Mississippi, United States;

    Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States;

    Environmental Laboratories, U.S. Army Corps of Engineers, Halls Ferry Road, Vicksburg, Mississippi, United States;

    Environmental Laboratories, U.S. Army Corps of Engineers, Halls Ferry Road, Vicksburg, Mississippi, United States;

    Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States;

    Environmental Laboratories, U.S. Army Corps of Engineers, Halls Ferry Road, Vicksburg, Mississippi, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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  • 入库时间 2022-08-17 14:02:31

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