Hladilek Matthew D, Gaines Karen F, Novak James M, Collard David A, Johnson Daniel B, Canam Thomas
Department of Biological Sciences, Eastern Illinois University, Charleston, IL, USA.
Public Works Department, Wastewater Treatment, Charleston, IL, USA.
Environ Monit Assess. 2016 Nov;188(11):626. doi: 10.1007/s10661-016-5630-7. Epub 2016 Oct 19.
Despite our dependency on treatment facilities to condition wastewater for eventual release to the environment, our knowledge regarding the effects of treated water on the local watershed is extremely limited. Responses of lotic systems to the treated wastewater effluent have been traditionally investigated by examining the benthic macroinvertebrate assemblages and community structure; however, these studies do not address the microbial diversity of the water systems. In the present study, planktonic and benthic bacterial community structure were examined at 14 sites (from 60 m upstream to 12,100 m downstream) and at two time points along an aquatic system receiving treated effluent from the Charleston Wastewater Treatment Plant (Charleston, IL). Total bacterial DNA was isolated and 16S rRNA sequences were analyzed using a metagenomics platform. The community structure in planktonic bacterial communities was significantly correlated with dissolved oxygen concentration. Benthic bacterial communities were not correlated with water quality but did have a significant geographic structuring. A local restructuring effect was observed in both planktonic and benthic communities near the treated wastewater effluent, which was characterized by an increase in abundance of sphingobacteria. Sites further downstream from the wastewater facility appeared to be less influenced by the effluent. Overall, the present study demonstrated the utility of targeted high-throughput sequencing as a tool to assess the effects of treated wastewater effluent on a receiving water system, and highlighted the potential for this technology to be used for routine monitoring by wastewater facilities.
尽管我们依赖处理设施来处理废水以便最终排放到环境中,但我们对处理后的水对当地流域的影响的了解极为有限。传统上,通过检查底栖大型无脊椎动物群落和群落结构来研究流水系统对处理后的废水排放的反应;然而,这些研究并未涉及水系统的微生物多样性。在本研究中,沿着一个接收来自伊利诺伊州查尔斯顿废水处理厂处理后的废水的水生系统,在14个位点(从上游60米到下游12100米)和两个时间点检查了浮游细菌和底栖细菌群落结构。分离出总细菌DNA,并使用宏基因组学平台分析16S rRNA序列。浮游细菌群落的群落结构与溶解氧浓度显著相关。底栖细菌群落与水质无关,但具有显著的地理结构。在处理后的废水排放口附近的浮游和底栖群落中均观察到局部重组效应,其特征是鞘氨醇杆菌丰度增加。废水处理设施下游更远的位点似乎受排放的影响较小。总体而言,本研究证明了靶向高通量测序作为评估处理后的废水排放对受纳水系统影响的工具的实用性,并强调了该技术用于废水处理设施进行常规监测的潜力。