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在一个受到强烈人为活动影响的流域中进行微生物群落分析。

Profiling microbial communities in a watershed undergoing intensive anthropogenic activities.

机构信息

School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China; College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China.

School of Environmental Studies, China University of Geoscience, Wuhan, Hubei 430074, China.

出版信息

Sci Total Environ. 2019 Jan 10;647:1137-1147. doi: 10.1016/j.scitotenv.2018.08.103. Epub 2018 Aug 7.

Abstract

In lotic ecosystems highly susceptible to anthropogenic activities, the influences of environmental variables on microbial communities and their functions remain poorly understood, despite our rapidly increasing sequencing ability. In this study, we profiled the microbial communities in the hyporheic sediments of a watershed undergoing intensive anthropogenic activities via next-generation sequencing of 16S rRNA V4-V5 hypervariable regions on Illumina MiSeq platform. Tidal impacts on microbial communities were investigated via co-occurrence networks. In addition, the influences of physicochemical variables including salinity, and the concentrations of nutrients, organic matter and heavy metals on the microbial communities were explored via canonical correspondence analyses. The sediment samples were collected from 19 sites covering the whole main river stem of the target watershed (n = 19; Maozhou river watershed, Shenzhen, China). The samples were sub-divided in the field for microbiological analyses and measurements of physicochemical variables. The results indicated that core microbiome was associated with archaea methanogens and bacteria members from Proteobacteria, Chloroflexi, Bacteroidetes, Acidobacteria, Synergistetes and Firmicutes, among which, gram-negative and anaerobic bacteria genera contributing to the cycling of carbon, nitrogen and sulfur were predominant. Site-specific microbiomes were revealed that may serve as indicators of local environmental conditions (e.g., members affiliated to Oceanospirillales were abundant at sites with salt intrusion). Distinct microbial co-occurrence networks were identified for non-tidal, inter-tidal and tidal sites. Major environmental factors influencing microbial community composition included the concentrations of nitrate and bicarbonate in river water, pore water concentrations of sulfate, dissolved organic carbon and electrical conductivity, as well as manganese concentrations associated with the solid sediment. Collectively, the results of this study provide fundamental insights into the influence of environmental perturbations on microbial community composition in a lotic system, which may aid in the design of effective remediation and/or restoration strategies in the target watershed and beyond.

摘要

在易受人为活动影响的流水生态系统中,尽管我们的测序能力迅速提高,但环境变量对微生物群落及其功能的影响仍知之甚少。在这项研究中,我们通过 Illumina MiSeq 平台对 16S rRNA V4-V5 高变区进行下一代测序, profiling 了一个经历高强度人为活动的流域的底栖沉积物中的微生物群落。通过共现网络研究了潮汐对微生物群落的影响。此外,还通过典范对应分析探讨了包括盐度以及营养物质、有机物和重金属浓度在内的理化变量对微生物群落的影响。从目标流域(中国深圳茅洲河流域)的整个干流的 19 个地点采集沉积物样本(n=19)。现场将样品细分用于微生物分析和理化变量的测量。结果表明,核心微生物组与古菌产甲烷菌和变形菌门的细菌成员有关,其中包括 Chloroflexi、Bacteroidetes、Acidobacteria、Synergistetes 和 Firmicutes ,其中革兰氏阴性和厌氧细菌属主要参与碳、氮和硫的循环。揭示了特定于地点的微生物组,它们可能作为局部环境条件的指示物(例如,在有海水入侵的地点,海洋螺旋体属的成员丰富)。为非潮汐、潮汐和潮汐地点识别了独特的微生物共现网络。影响微生物群落组成的主要环境因素包括河水硝酸盐和碳酸氢盐浓度、孔隙水硫酸盐、溶解有机碳和电导率浓度,以及与固体沉积物相关的锰浓度。总的来说,这项研究的结果为环境干扰对流水系统中微生物群落组成的影响提供了基本的见解,这可能有助于设计目标流域及其他流域的有效修复和/或恢复策略。

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