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利用GeoChip表征的污水处理厂微生物群落功能结构

Microbial community functional structures in wastewater treatment plants as characterized by GeoChip.

作者信息

Wang Xiaohui, Xia Yu, Wen Xianghua, Yang Yunfeng, Zhou Jizhong

机构信息

Environmental Simulation and Pollution Control State Key Joint Laboratory, School of Environment, Tsinghua University, Beijing, China; Department of Environmental Science and Engineering, Beijing University of Chemical Technology, Beijing, China.

Environmental Simulation and Pollution Control State Key Joint Laboratory, School of Environment, Tsinghua University, Beijing, China.

出版信息

PLoS One. 2014 Mar 26;9(3):e93422. doi: 10.1371/journal.pone.0093422. eCollection 2014.

Abstract

BACKGROUND

Biological WWTPs must be functionally stable to continuously and steadily remove contaminants which rely upon the activity of complex microbial communities. However, knowledge is still lacking in regard to microbial community functional structures and their linkages to environmental variables.

AIMS

To investigate microbial community functional structures of activated sludge in wastewater treatment plants (WWTPs) and to understand the effects of environmental factors on their structure.

METHODS

12 activated sludge samples were collected from four WWTPs in Beijing. A comprehensive functional gene array named GeoChip 4.2 was used to determine the microbial functional genes involved in a variety of biogeochemical processes such as carbon, nitrogen, phosphorous and sulfur cycles, metal resistance, antibiotic resistance and organic contaminant degradation.

RESULTS

High similarities of the microbial community functional structures were found among activated sludge samples from the four WWTPs, as shown by both diversity indices and the overlapped genes. For individual gene category, such as egl, amyA, lip, nirS, nirK, nosZ, ureC, ppx, ppk, aprA, dsrA, sox and benAB, there were a number of microorganisms shared by all 12 samples. Canonical correspondence analysis (CCA) showed that the microbial functional patterns were highly correlated with water temperature, dissolved oxygen (DO), ammonia concentrations and loading rate of chemical oxygen demand (COD). Based on the variance partitioning analyses (VPA), a total of 53% of microbial community variation from GeoChip data can be explained by wastewater characteristics (25%) and operational parameters (23%), respectively.

CONCLUSIONS

This study provided an overall picture of microbial community functional structures of activated sludge in WWTPs and discerned the linkages between microbial communities and environmental variables in WWTPs.

摘要

背景

生物污水处理厂必须功能稳定,才能持续稳定地去除污染物,这依赖于复杂微生物群落的活性。然而,关于微生物群落功能结构及其与环境变量的联系,目前仍缺乏相关知识。

目的

研究污水处理厂(WWTPs)活性污泥的微生物群落功能结构,并了解环境因素对其结构的影响。

方法

从北京的四个污水处理厂采集了12个活性污泥样本。使用一种名为GeoChip 4.2的综合功能基因芯片,来确定参与各种生物地球化学过程的微生物功能基因,如碳、氮、磷和硫循环、金属抗性、抗生素抗性以及有机污染物降解。

结果

四个污水处理厂的活性污泥样本中,微生物群落功能结构具有高度相似性,这在多样性指数和重叠基因中均有体现。对于个别基因类别,如egl、amyA、lip、nirS、nirK、nosZ、ureC、ppx、ppk、aprA、dsrA、sox和benAB,所有12个样本中都有许多共同的微生物。典范对应分析(CCA)表明,微生物功能模式与水温、溶解氧(DO)、氨浓度和化学需氧量(COD)负荷率高度相关。基于变异分割分析(VPA),GeoChip数据中微生物群落变异的53%,分别可以由废水特性(25%)和运行参数(23%)来解释。

结论

本研究提供了污水处理厂活性污泥微生物群落功能结构的全貌,并识别了污水处理厂中微生物群落与环境变量之间的联系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9a8/3966879/98d86fb15248/pone.0093422.g001.jpg

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