Suppr超能文献

与城市溪流微生物群落中风暴流相关的分类驱动功能转变。

Taxon-Driven Functional Shifts Associated with Storm Flow in an Urban Stream Microbial Community.

机构信息

Department of Biological Sciences, University of Illinois at Chicago, Chicago, Illinois, USA.

Department of Biological Sciences, University of Illinois at Chicago, Chicago, Illinois, USA

出版信息

mSphere. 2018 Jul 5;3(4):e00194-18. doi: 10.1128/mSphere.00194-18.

Abstract

Urban streams are susceptible to stormwater and sewage inputs that can impact their ecological health and water quality. Microbial communities in streams play important functional roles, and their composition and metabolic potential can help assess ecological state and water quality. Although these environments are highly heterogenous, little is known about the influence of isolated perturbations, such as those resulting from rain events on urban stream microbiota. Here, we examined the microbial community composition and diversity in an urban stream during dry and wet weather conditions with both 16S rRNA gene sequencing across multiple years and shotgun metagenomics to more deeply analyze a single storm flow event. Metagenomics was used to assess population-level dynamics as well as shifts in the microbial community taxonomic profile and functional potential before and after a substantial rainfall. The results demonstrated general trends present in the stream under storm flow versus base flow conditions and also highlighted the influence of increased effluent flow following rain in shifting the stream microbial community from abundant freshwater taxa to those more associated with urban/anthropogenic settings. Shifts in the taxonomic composition were also linked to changes in functional gene content, particularly for transmembrane transport and organic substance biosynthesis. We also observed an increase in relative abundance of genes encoding degradation of organic pollutants and antibiotic resistance after rain. Overall, this study highlighted some differences in the microbial community of an urban stream under storm flow conditions and showed the impact of a storm flow event on the microbiome from an environmental and public health perspective. Urban streams in various parts of the world are facing increased anthropogenic pressure on their water quality, and storm flow events represent one such source of complex physical, chemical, and biological perturbations. Microorganisms are important components of these streams from both ecological and public health perspectives. Analysis of the effect of perturbations on the stream microbial community can help improve current knowledge on the impact such chronic disturbances can have on these water resources. This study examines microbial community dynamics during rain-induced storm flow conditions in an urban stream of the Chicago Area Waterway System. Additionally, using shotgun metagenomics we identified significant shifts in the microbial community composition and functional gene content following a high-rainfall event, with potential environment and public health implications. Previous work in this area has focused on specific genes/organisms or has not assessed immediate storm flow impact.

摘要

城市溪流容易受到雨水和污水的影响,这可能会影响它们的生态健康和水质。溪流中的微生物群落发挥着重要的功能作用,它们的组成和代谢潜力可以帮助评估生态状态和水质。尽管这些环境高度异质,但对于孤立的干扰,如降雨事件对城市溪流微生物群的影响,人们知之甚少。在这里,我们在多年的时间里通过 16S rRNA 基因测序和宏基因组学来研究城市溪流在干湿天气条件下的微生物群落组成和多样性,以更深入地分析单一的暴流事件。宏基因组学用于评估种群水平的动态变化,以及在大量降雨前后微生物群落分类群谱和功能潜力的变化。结果表明,在暴流与基流条件下,溪流中存在一般趋势,并突出了降雨后流出物流量增加导致溪流微生物群落从丰富的淡水分类群转移到更与城市/人为环境相关的分类群的影响。分类组成的变化也与功能基因含量的变化有关,特别是对跨膜运输和有机物质生物合成。我们还观察到,降雨后,降解有机污染物和抗生素抗性的基因的相对丰度增加。总的来说,这项研究强调了暴流条件下城市溪流微生物群落的一些差异,并从环境和公共卫生的角度展示了暴流事件对微生物组的影响。世界上不同地区的城市溪流都面临着水质的人为压力增加,而暴流事件是这种复杂的物理、化学和生物干扰的来源之一。从生态和公共卫生的角度来看,微生物是这些溪流的重要组成部分。分析干扰对溪流微生物群落的影响可以帮助提高人们对这些水资源受到这种慢性干扰的影响的认识。本研究考察了芝加哥地区水道系统中一条城市溪流在雨水诱发的暴流条件下的微生物群落动态。此外,我们使用宏基因组学发现,在一场高降雨事件后,微生物群落组成和功能基因含量发生了显著变化,这可能对环境和公共卫生产生影响。该领域之前的工作集中在特定的基因/生物体上,或者没有评估即时暴流的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bbd/6034075/768ed563c5d9/sph0041825880001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验