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Viral indicators for fecal contamination - a one-year viral metagenomic study of treatment efficiency in danish waste water treatment plants

机译:粪便污染的病毒指标 - 对丹麦污水处理厂的处理效率进行为期一年的病毒宏基因组研究

摘要

Viral pathogens in irrigation water are a major threat to public health due to their possibility to cause disease in humans. When using reclaimed water for irrigation it is therefore important to make sure that the water is free from pathogens which can contaminate the crops. In this study we are therefore using metagenomics sequencing with the aim to map the viriome in different water sources. In addition we investigate the possibility to use Human Adenovirus (HAdV) or JC Polyomavirus (JCPyV) as indicator for human fecal contamination. Water has been sampled monthly throughout the treatment process from two urban waste water treatment plants in Copenhagen. All samples are investigated for their viral content and the presence of pathogens by metagenomic sequencing and analyzed specifically for HAdV, JCPyV, norovirus GI and GII (NoV GI and GII) using quantitative (q)PCR. Preliminary qPCR results showed that the average concentration for HAdV within a sample is higher than the average concentration of NoV GI and GII. HAdV could therefore be a good indicator for human fecal contamination in water. The initial analysis of the metagenomic data identifies viruses in all water sources. However, the number of identified pathogenic viral species decreases with treatment of the waste water. Further bioinformatic analyses will investigate the seasonal variations of viral composition within a sample as well as the effect of the treatment system. Updated qPCR and metagenomics data will be presented.
机译:灌溉水中的病毒病原体由于可能引起人类疾病而成为对公共健康的主要威胁。因此,在使用再生水灌溉时,重要的是要确保水中不含会污染农作物的病原体。因此,在这项研究中,我们使用宏基因组学测序,目的是绘制不同水源中的病毒体图。此外,我们研究了使用人类腺病毒(HAdV)或JC多瘤病毒(JCPyV)作为人类粪便污染指示剂的可能性。在整个处理过程中,每月从哥本哈根的两个城市污水处理厂抽取水样。通过宏基因组测序研究所有样品的病毒含量和病原体的存在,并使用定量(q)PCR对HAdV,JCPyV,诺如病毒GI和GII(NoV GI和GII)进行专门分析。初步qPCR结果表明,样品中HAdV的平均浓度高于NoV GI和GII的平均浓度。因此,HAdV可能是人类粪便中水污染的良好指标。宏基因组学数据的初步分析可以识别所有水源中的病毒。然而,随着废水的处理,鉴定出的病原性病毒种类的数量减少。进一步的生物信息学分析将调查样品中病毒成分的季节性变化以及治疗系统的效果。将显示更新的qPCR和宏基因组学数据。

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