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将亚生物数据与生物能量过程连接起来:鱼胚胎暴露在类似二氧化物的化合物中
Louise M Stevenson1,2,3, Erik B Muller4,5, Diane Nacci6
1Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.
Environmental toxicology and chemistry
|May 26, 2023
概括
这项研究将分子反应与生物能学理论相结合,以预测鱼类的化学毒性. 动态能源预算 (DEB) 模型与不利结果途径 (AOP) 相关,量化了从分子损伤到人口层面影响的影响.
科学领域:
- 生态毒理学 生态毒理学
- 环境化学环境化学
- 计算生物学是一种计算生物学.
背景情况:
- 将分子反应纳入生态风险评估仍然是一个挑战.
- 生物能量理论提供了一个框架,将亚生物体的反应与生物体和种群动态联系起来.
- 负面结果途径 (AOPs) 提供了一种结构化的方法来理解化学毒性机制.
研究的目的:
- 在AOP框架内应用动态能源预算 (DEB) 理论,用于化学毒性的定量预测.
- 为了将二氧化类化学物质 (DLC) 造成的分子级损伤与Fundulus heteroclitus中的生物体效应联系起来.
- 根据改变的DEB参数,预测野生鱼种群对DLCs的进化耐受性.
主要方法:
- 利用了Fundulus heteroclitus对DLCs的早期生命阶段暴露.
- 将AOP关键事件与DEB过程联系起来,将损害量化为内部有毒物质度的函数.
- 使用转录组数据将分子损伤指标转化为DEB参数变化,特别是增加体质维护成本.
- 开发了DEB模型来预测对年轻鱼类的次致命和致命影响.
主要成果:
- 成功地将DLCs的分子损伤与DEB参数的变化联系起来,例如增加体质维护成本.
- DEB模型准确地预测了对年轻鱼类的次致命和致命影响.
- 模型参数的调整成功地预测了野生Fundulus heteroclitus种群中对DLCs的进化耐受性,而没有使用这些数据进行参数化.
- 确定降低灵敏度和改变损坏修复动态是进化抵抗的关键因素.
结论:
- 在AOP框架内,DEB理论的新应用为定量生态风险评估提供了一个强大的方法.
- 这种方法有效地将分子反应与生物体和人口水平的结果联系起来,甚至可以预测进化的耐受性.
- 该方法表明,它有望将毒性预测推断到未经测试的生态关注的化学品.
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