Miseq测序分析活性污泥系统中细菌群落的动态变化

闻韵; 王晓慧; 林常青

doi:10.12030/j.cjee.20151115

Miseq测序分析活性污泥系统中细菌群落的动态变化

1.
洛阳理工学院土木工程学院, 洛阳 471023
2.
北京化工大学环境科学与工程系, 北京 100029
基金项目:
国家自然科学基金资助项目(51408020)

环境模拟与污染控制国家联合重点实验室专项经费(13k06ESPCT)

中央高校科研业务费项目(ZY1306)
中图分类号: X172

Bacterial community dynamics in an activated sludge system based on Miseq sequencing

1.
Department of Civil Engineering, Luoyang Institute of Science and Technology, Luoyang 471023, China
2.
Department of Environment Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
Fund Project:

摘要: 采用基于16S rRNA基因的Miseq测序方法,分析了某小试序批式反应器(SBR)中,细菌群落结构在1年中的动态变化。在研究中,系统运行稳定,COD出水浓度均在40 mg/L以下,总氮(TN)和总磷(TP)出水浓度分别在20 mg/L和0.3 mg/L之下。细菌的群落组成变化明显,在检测到的2094个OTU中,有176个OTU只存在于3个以下的样品中。在385个属的细菌中,有54个属的微生物只存在于3个以下的样品中。移动窗口分析表明,系统中细菌群落的平均变化率Δt(30 d)为21.3%±6.2%,稳定的系统功能并未耦合稳定的细菌群落结构。Mantel test分析表明,溶解氧(DO),进水COD浓度和温度对细菌群落结构有显著影响。方差分解分析(VPA)结果表明,水质参数及运行参数可分别解释23.6%和21.5%的群落结构变化。
- 细菌 /
- 群落动态变化 /
- Miseq测序 /
- 移动窗口分析 /
- 方差分解分析(VPA)
Abstract: In order to characterize the bacterial community dynamics and to investigate the effects of environmental parameters on them, bacterial communities in a lab-scale sequencing batch reactor(SBR) were monitored over one year using Miseq sequencing based on 16S rRNA genes. During the study period, the system was functionally stable. The effluent COD concentrations were always below 40 mg/L, and at the same time, the effluent concentrations of total nitrogen(TN) and total phosphorus(TP) were always below 20 mg/L and 0.3 mg/L, respectively. However, the bacterial community components changed obviously. Among the 2094 detected OTUs, 176 OTUs were observed in no more than three samples. Of the 385 genera, 54 genera were shared by no more than three samples. The moving window analysis showed the average community change rate(every 30 days) of the system was 21.3%±6.2%. Results clearly revealed that, in the lab-scale SBR, functional stability did not correlate with stable bacterial communities. Mantel test results indicated that dissolved oxygen(DO), influent concentrations of COD and water temperature significantly influenced the bacterial community structures. Variance partitioning analyses(VPA) suggested that wastewater characteristics and operational parameters can independently explain 23.6% and 21.5% of the bacterial community variance, respectively. Results of this study provided insights into the bacterial community dynamics and discerned the relationships between bacterial community and environmental variables in activated sludge systems.
- bacteria /
- community dynamics /
- Miseq sequencing /
- moving window analysis /
- variance partitioning analyses(VPA)

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Miseq测序分析活性污泥系统中细菌群落的动态变化

Bacterial community dynamics in an activated sludge system based on Miseq sequencing

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Miseq测序分析活性污泥系统中细菌群落的动态变化

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Bacterial community dynamics in an activated sludge system based on Miseq sequencing

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Miseq测序分析活性污泥系统中细菌群落的动态变化

Bacterial community dynamics in an activated sludge system based on Miseq sequencing

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Miseq测序分析活性污泥系统中细菌群落的动态变化

English Abstract

Bacterial community dynamics in an activated sludge system based on Miseq sequencing

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