关键词: C. elegans Composite pollution Daye Lake Ecological risk assessment eDNA

Mesh : Lakes / chemistry Water Pollutants, Chemical / analysis Environmental Monitoring / methods China Animals Hydrocarbons, Chlorinated / analysis Risk Assessment Metals, Heavy / analysis Caenorhabditis elegans / drug effects Polycyclic Aromatic Hydrocarbons / analysis Geologic Sediments / chemistry Pesticides / analysis

来  源:   DOI:10.1016/j.scitotenv.2024.173690

Abstract:
As one of the nine primary non-ferrous metal smelting bases in China, Daye Lake basin was polluted due to diverse human activities. But so far the pollution status and related ecological risks of this region have not been detailly investigated. In current study, pollutants including heavy metals, polycyclic aromatic hydrocarbons (PAHs) and organochlorine pesticides (OCPs) in eight sediment samples from Daye Lake were quantified. 18S rRNA gene sequencing was employed to profile the nematode community structure within these sediments. Model organism Caenorhabditis elegans (C. elegans) were further applied for a comprehensive ecological risk assessment of Daye Lake. Notably, Cadmium (Cd) was identified as a key driver of ecological risk, reaching an index of 1287.35. At sample point S4, OCPs particularly p,p\'-DDT, displayed an extreme ecological risk with a value of 23.19. Cephalobidae and Mononchida showed strong sensitivity to pollutant levels, reinforcing their suitability as robust bioindicators. The composite pollutants in sampled sediments caused oxidative stress in C. elegans, with gene Vit-2 and Mtl-1 as sensitive biomarkers. By employing the multiple analysis methods, our data can offer valuable contributions to environmental monitoring and health risk assessment for composite polluted areas.
摘要:
作为中国九大有色金属冶炼基地之一,大冶湖流域受到多种人类活动的污染。但是到目前为止,该地区的污染状况和相关的生态风险尚未得到详细的调查。在目前的研究中,污染物包括重金属,定量了大冶湖八个沉积物样品中的多环芳烃(PAHs)和有机氯农药(OCPs)。18SrRNA基因测序用于描述这些沉积物中的线虫群落结构。模型生物秀丽隐杆线虫(C.线虫)进一步应用于大冶湖的综合生态风险评估。值得注意的是,镉(Cd)被确定为生态风险的关键驱动因素,指数达到1287.35。在采样点S4,OCP特别是p,p\'-滴滴涕,表现出极端的生态风险,值为23.19。头孢科和Mononchida对污染物水平表现出较强的敏感性,加强它们作为稳健生物指标的适用性。采样沉积物中的复合污染物引起秀丽线虫的氧化应激,基因Vit-2和Mtl-1作为敏感的生物标志物。通过采用多种分析方法,我们的数据可以为复合污染地区的环境监测和健康风险评估提供有价值的贡献。
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