Potential pathogen communities in highly polluted river ecosystems: Geographical distribution and environmental influence

CORC > 生态环境研究中心 > 中国科学院生态环境研究中心 > 中国科学院环境生物技术重点实验室

	Potential pathogen communities in highly polluted river ecosystems: Geographical distribution and environmental influence
	Yang, Yuzhan; Hou, Yang; Ma, Min; Zhan, Aibin
刊名	AMBIO
	2020-01
卷号	49 期号:1 页码:197-207
关键词	Community structure Early warning Environmental filtering Potential pathogen bacteria Risk assessment Water pollution
ISSN号	0044-7447
英文摘要	Risks of pathogenic bacteria to the health of both human beings and water ecosystems have been widely acknowledged. However, traditional risk assessment methods based on fecal indicator bacteria and/or pure culture are not comprehensive at the community level, mainly owing to the limited taxonomic coverage. Here, we combined the technique of high-throughput sequencing and the concept of metacommunity to assess the potential pathogenic bacterial communities in an economically and ecologically crucial but highly polluted river-the North Canal River (NCR) in Haihe River Basin located in North China. NCR presented a significant environmental gradient, with the highest, moderate, and lowest levels of pollution in the up-, middle, and downstream. After multiple analyses, we successfully identified 48 genera, covering nine categories of potential pathogens (mainly human pathogens). The most abundant genus was Acinetobacter, which was rarely identified as a pathogen bacterium in previous studies of NCR. At the community level, we observed significant geographical variation of community composition and structure. Such a high level of geographical variation was mainly derived from differed abundance of species among sections along the river, especially the top seven Operational Taxonomic Units (OTUs). For example, relative abundance of OTU1 (Gammaproteobacteria/Acinetobacter) increased significantly from upstream towards downstream. Regarding the underlying mechanisms driving community geographical variation, environmental filtering was identified as the dominant ecological process and total nitrogen as the most influential environmental variable. Altogether, this study provided a comprehensive profile of potential pathogenic bacteria in NCR and revealed the underlying mechanisms of community succession. Owing to their high abundance and wide geographical distribution, we suggest that potential pathogens identified in this study should be incorporated into future monitoring and management programs in NCR. By revealing the correlation between environmental factors and community composition, the results obtained in this study have significant implications for early warning and risk assessment of potential pathogen bacteria, as well as management practices in highly polluted river ecosystems.
内容类型	期刊论文
源URL	[http://ir.rcees.ac.cn/handle/311016/45201]
专题	生态环境研究中心_中国科学院环境生物技术重点实验室
推荐引用方式 GB/T 7714	Yang, Yuzhan,Hou, Yang,Ma, Min,et al. Potential pathogen communities in highly polluted river ecosystems: Geographical distribution and environmental influence[J]. AMBIO,2020,49(1):197-207.
APA	Yang, Yuzhan,Hou, Yang,Ma, Min,&Zhan, Aibin.(2020).Potential pathogen communities in highly polluted river ecosystems: Geographical distribution and environmental influence.AMBIO,49(1),197-207.
MLA	Yang, Yuzhan,et al."Potential pathogen communities in highly polluted river ecosystems: Geographical distribution and environmental influence".AMBIO 49.1(2020):197-207.