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废水处理系统中病毒组的高时间和空间分辨率模式。

High-Resolution Temporal and Spatial Patterns of Virome in Wastewater Treatment Systems.

机构信息

Environmental Biotechnology Laboratory, Department of Civil Engineering , The University of Hong Kong , Pokfulam Road , Hong Kong.

Division of Energy and Environment , Graduate School at Shenzhen, Tsinghua University , Shenzhen , 518055 , China.

出版信息

Environ Sci Technol. 2018 Sep 18;52(18):10337-10346. doi: 10.1021/acs.est.8b03446. Epub 2018 Sep 10.

DOI:10.1021/acs.est.8b03446
PMID:30148618
Abstract

Wastewater treatment plants (WWTPs) are considered reservoirs of viruses, but the diversity and dynamic changes of viruses are not well understood. In this study, we recovered 8478 metagenomic viral contigs (mVCs; >5 kb) from two WWTPs (Shatin, 2806; Shek Wu Hui, 5672) in Hong Kong. Approximately 60% of the mVCs were poorly covered (<35% of genes in identified mVCs) by the current NCBI and IMG/VR viral databases. The temporal profile of the newly identified mVCs among 98 Shatin AS samples collected monthly (for approximately 9 years) revealed the presence of periodic dynamics at an interval of approximately one year (341 days). The spatial distribution pattern of the virome in the wastewater treatment systems showed that shared viral clusters (viral populations categorized based on shared gene content and network analysis) can be globally found among similar samples of wastewater treatment systems, indicating the presence of core viral communities among geographically isolated wastewater treatment systems. These results not only supplemented the current virome database of engineered systems but also, to some extent, expanded the understanding of long-term cyclical development and spatial distributions of viral communities in wastewater treatment systems.

摘要

污水处理厂(WWTPs)被认为是病毒的蓄水池,但对病毒的多样性和动态变化了解甚少。在本研究中,我们从香港两个污水处理厂(沙田,2806;石门,5672)中回收了 8478 个宏基因组病毒丛集(mVC;>5kb)。目前的 NCBI 和 IMG/VR 病毒数据库对大约 60%的 mVC 覆盖度较差(鉴定的 mVC 中的基因<35%)。在每月(大约 9 年)收集的 98 个沙田 AS 样本中,新鉴定的 mVC 的时间分布表明存在大约一年(341 天)的周期性动态。在污水处理系统中的病毒组的空间分布模式表明,在具有相似污水处理系统的样本中可以找到共享的病毒群集(基于共享基因内容和网络分析对病毒种群进行分类),这表明在地理位置隔离的污水处理系统中存在核心病毒群落。这些结果不仅补充了当前工程系统的病毒组数据库,而且在一定程度上扩展了对污水处理系统中病毒群落的长期周期性发展和空间分布的理解。

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