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中国东南部一条接纳生活污水的富营养化河流中细菌群落的垂直和水平组装模式

Vertical and horizontal assemblage patterns of bacterial communities in a eutrophic river receiving domestic wastewater in southeast China.

作者信息

Gao Yan, Wang Chengcheng, Zhang Weiguo, Di Panpan, Yi Neng, Chen Chengrong

机构信息

Institute of Agricultural Resources and Environment, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China; Key Lab of Food Quality and Safety of Jiangsu Province-State Key Laboratory Breeding Base, 50 Zhongling Street, Nanjing 210014, China; Griffith School of Environment, Griffith University, Nathan, 4111 Qld, Australia; China Ministry of Agriculture Key Laboratory at Yangtze River Plain for Agricultural Environment, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China.

Institute of Agricultural Resources and Environment, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China.

出版信息

Environ Pollut. 2017 Nov;230:469-478. doi: 10.1016/j.envpol.2017.06.081. Epub 2017 Jul 6.

Abstract

Bacterial communities in rivers receiving untreated domestic wastewater may show specific spatial assemblage patterns due to a wide range of physicochemical conditions created by periodic algal bloom. However, there are significant gaps in understanding environmental forces that drive changes in microbial assemblages in polluted rivers. In this study, we applied high-throughput sequencing of 16S rRNA gene amplicons to perform comprehensive spatio-temporal profiling of bacterial community structure in a local river segment receiving domestic wastewater discharge in southeast China. Multivariate statistics were then used to analyse links between bacterial community structure and environmental factors. Non-metric multidimensional scaling (NMDS) plots showed that the bacterial community structure was different between upstream and downstream sections of the river. While the upstream water contained a high proportion of bacteria degrading xenobiotic aromatic compounds, the downstream water experiencing stronger algal bloom had a more diverse bacterial community which included the genus Aeromonas comprising 14 species, most of which are human pathogens. Least discriminant analysis (LDA) effect size revealed that the surface water was mainly inhabited by aerobic microorganisms capable of degrading aromatic compounds, and also contained bacterial genera including pathogenic species. In contrast, in the bottom water we found, along with aromatic compound-degrading species, anaerobic denitrifiers and Fe-reducing and fermentative bacteria. Variance partitioning canonical correspondence analysis (VPA) showed that nutrient ratios had a stronger contribution to bacterial dissimilarities than other major physicochemical factors (temperature, pH, dissolved oxygen, total organic carbon, and chlorophyll a). These results show that microbial communities in rivers continuously receiving domestic wastewater have specific longitudinal and vertical assemblage patterns and may contain pathogenic species presenting a high threat to public health. These factors should be taken into consideration while developing pollution management strategies.

摘要

由于周期性藻华产生的各种物理化学条件,接纳未经处理生活污水的河流中的细菌群落可能呈现出特定的空间组合模式。然而,在理解驱动污染河流中微生物群落变化的环境力量方面存在重大差距。在本研究中,我们应用16S rRNA基因扩增子的高通量测序对中国东南部一条接纳生活污水排放的局部河段中的细菌群落结构进行全面的时空分析。然后使用多变量统计分析细菌群落结构与环境因素之间的联系。非度量多维标度(NMDS)图显示,河流上下游的细菌群落结构不同。上游水体中含有高比例的降解外源芳香族化合物的细菌,而下游经历更强藻华的水体中细菌群落更为多样,包括包含14个物种的气单胞菌属,其中大多数是人类病原体。最小判别分析(LDA)效应大小显示,地表水主要栖息着能够降解芳香族化合物的需氧微生物,还含有包括致病物种在内的细菌属。相比之下,在底水中,我们发现除了芳香族化合物降解物种外,还有厌氧反硝化菌以及铁还原菌和发酵菌。方差分解典范对应分析(VPA)表明,营养比相对于其他主要物理化学因素(温度、pH值、溶解氧、总有机碳和叶绿素a)对细菌差异的贡献更大。这些结果表明,持续接纳生活污水的河流中的微生物群落具有特定的纵向和垂直组合模式,可能含有对公众健康构成高威胁的致病物种。在制定污染管理策略时应考虑这些因素。

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