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生态基因组学揭示了特大城市水道中微生物群落所受金属和土地利用压力的影响。

Ecogenomics reveals metals and land-use pressures on microbial communities in the waterways of a megacity.

机构信息

Singapore Centre on Environmental Life Sciences Engineering (SCELSE) , Singapore , 637551.

出版信息

Environ Sci Technol. 2015 Feb 3;49(3):1462-71. doi: 10.1021/es504531s. Epub 2015 Jan 21.

Abstract

Networks of engineered waterways are critical in meeting the growing water demands in megacities. To capture and treat rainwater in an energy-efficient manner, approaches can be developed for such networks that use ecological services from microbial communities. Traditionally, engineered waterways were regarded as homogeneous systems with little responsiveness of ecological communities and ensuing processes. This study provides ecogenomics-derived key information to explain the complexity of urban aquatic ecosystems in well-managed watersheds with densely interspersed land-use patterns. Overall, sedimentary microbial communities had higher richness and evenness compared to the suspended communities in water phase. On the basis of PERMANOVA analysis, variation in structure and functions of microbial communities over space within same land-use type was not significant. In contrast, this difference was significant between different land-use types, which had similar chemical profiles. Of the 36 environmental parameters from spatial analysis, only three metals, namely potassium, copper and aluminum significantly explained between 7% and 11% of the variation in taxa and functions, based on distance-based linear models (DistLM). The ecogenomics approach adopted here allows the identification of key drivers of microbial communities and their functions at watershed-scale. These findings can be used to enhance microbial services, which are critical to develop ecologically friendly waterways in rapidly urbanizing environments.

摘要

人工水系网络对于满足特大城市日益增长的用水需求至关重要。为了以节能的方式捕获和处理雨水,可以开发针对这些网络的方法,利用微生物群落的生态服务。传统上,人工水系被视为均质系统,生态群落和随之而来的过程响应能力很小。本研究提供了基于生态基因组学的关键信息,以解释管理良好的流域中具有密集交错土地利用模式的城市水生生态系统的复杂性。总体而言,与水相比,沉积物中的微生物群落具有更高的丰富度和均匀度。基于 PERMANOVA 分析,同一土地利用类型内空间上微生物群落的结构和功能变化不显著。相比之下,不同土地利用类型之间的差异很显著,而它们的化学特征相似。在空间分析的 36 个环境参数中,只有三种金属(钾、铜和铝)基于距离线性模型(DistLM)显著解释了 7%至 11%的分类群和功能变化。这里采用的生态基因组学方法允许识别流域尺度上微生物群落及其功能的关键驱动因素。这些发现可用于增强微生物服务,这对于在快速城市化环境中开发生态友好型水系至关重要。

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