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在大湖滩对体细胞和 F 特异性噬菌体的光灭活和迁移进行建模。

Modeling the photoinactivation and transport of somatic and F-specific coliphages at a Great Lakes beach.

机构信息

Dep. of Civil & Environmental Engineering, Michigan State Univ., East Lansing, MI, 48824, USA.

Mekong River Commission, Vientiane, Lao PDR.

出版信息

J Environ Qual. 2020 Nov;49(6):1612-1623. doi: 10.1002/jeq2.20153. Epub 2020 Nov 5.

Abstract

Fecal indicator organisms (FIOs), such as Escherichia coli and enterococci, are often used as surrogates of contamination in the context of beach management; however, bacteriophages may be more reliable indicators than FIO due to their similarity to viral pathogens in terms of size and persistence in the environment. In the past, mechanistic modeling of environmental contamination has focused on FIOs, with virus and bacteriophage modeling efforts remaining limited. In this paper, we describe the development and application of a fate and transport model of somatic and F-specific coliphages for the Washington Park beach in Lake Michigan, which is affected by riverine outputs from the nearby Trail Creek. A three-dimensional model of coliphage transport and photoinactivation was tested and compared with a previously reported E. coli fate and transport model. The light-based inactivation of the phages was modeled using organism-specific action spectra. Results indicate that the coliphage models outperformed the E. coli model in terms of reliably predicting observed E. coli/coliphage concentrations at the beach. This is possibly due to the presence of additional E. coli sources that were not accounted for in the modeling. The coliphage models can be used to test hypotheses about potential sources and their behavior and for predictive modeling.

摘要

粪便指示生物(FIOs),如大肠杆菌和肠球菌,通常被用作海滩管理中污染的替代物;然而,噬菌体可能比 FIO 更可靠的指示物,因为它们在大小和在环境中的持久性方面与病毒病原体相似。过去,环境污染的机械模型主要集中在 FIOs 上,而病毒和噬菌体的建模工作仍然有限。在本文中,我们描述了一种用于密歇根湖华盛顿公园海滩的体和 F 特异性噬菌体的归宿和传输模型的开发和应用,该海滩受到附近 Trail Creek 的河流输出的影响。噬菌体传输和光灭活的三维模型进行了测试,并与之前报道的大肠杆菌归宿和传输模型进行了比较。噬菌体的基于光的灭活使用特定于生物体的作用光谱进行建模。结果表明,噬菌体模型在可靠预测海滩上观察到的大肠杆菌/噬菌体浓度方面优于大肠杆菌模型。这可能是由于模型中未考虑到其他大肠杆菌来源。噬菌体模型可用于测试关于潜在来源及其行为的假设,并进行预测建模。

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