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Genotyping Cryptosporidium oocysts in water samples as a tool for the identification of contamination sources

机译:水样中基因分型隐孢子虫卵囊作为鉴定污染源的工具

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The identification of Cryptosporidium oocysts in environmental samples is largely made by the use of immunofluorescent assay (IFA). Because IFA detects oocysts from all Cryptosporidium parasites, the species distribution and source of Cryptosporidium parasites in environmental samples is unclear. We previously developed a small subunit (SSU) rRNA-based polymerase chain reaction-restriction enzyme length polymorphism (PCR-RFLP) technique for species-and strain-specific diagnosis of Cryptosporidium parasites in clinical samples. In this study, we used this technique in conjunction with immunomagnetic separation to identify species and sources of Cryptosporidium oocysts present in water samples. Analysis of 29 storm samples collected after 8 rain events with this technique revealed the presence of Cryptosporidium oocysts in 27 samples. A total of 12 wildlife Cryptosporidium genotypes were found in these samples, 4 of which were identified to species and sources by sequence analysis. In contrast, 4 genotypes were found in 25 of 55 surface water samples and and 7 genotypes were found in 12 of 49 raw wastewater sample. The most common Cryptosporidium parasites were the C. parvum human and bovine genotypes and C. andersoni in surface water, and C. andersoni in wastewater. Mixed genotypes were present in some storm and surface water samples. The SSU rRNA-based PCR-RFLP had the sensitivity and specificity required for the detection and differentiation of Cryptosporidium parasites in environmental samples, thus should be useful in the investigation of the identity and source of Cryptosporidium oocysts in waters.
机译:在环境样品中鉴定在环境样品中的卵囊在很大程度上通过使用免疫荧光测定(IFA)。因为IFA检测来自所有密码孢子鸟类寄生虫的卵囊,所以在环境样本中的寄生虫寄生虫的物种分布和源尚不清楚。我们以前开发了一种小亚基(SSU)rRNA的聚合酶链反应限制酶长度多态性(PCR-RFLP)技术,用于临床样品中的隐孢子鸟寄生虫的物种和应变特异性诊断。在这项研究中,我们将该技术结合免疫磁性分离,以鉴定存在于水样中存在的隐孢子虫卵囊的物种和来源。通过该技术8次雨量事件收集的29个风暴样本的分析揭示了27个样品中的隐孢子虫卵囊的存在。在这些样品中发现了总共12种野生动物隐孢子虫基因型,其中4个通过序列分析将其鉴定为物种和来源。相比之下,在55个表面水样中的25个中发现了4种基因型,并且在49个原料废水样品中发现了7种基因型。最常见的Cryptosporidium寄生虫是C.Parvum人和牛基因型和C. Stand水中的C. Andersoni,以及废水中的C. Andersoni。混合基因型存在于一些风暴和地表水样中。基于SSU RRNA的PCR-RFLP具有在环境样品中检测和分化的敏感性和特异性所需的密码孢子鸟类寄生虫所需的特异性,因此应该是有助于调查水中密码孢子虫的身份和来源。

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