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AFMBR处理生活污水的功能菌群特性研究
引用本文:陈昌明,张岩,张博康,马翔山,刘子奇,曹孟京,柴毓蔓,陈锋华.AFMBR处理生活污水的功能菌群特性研究[J].环境科学学报,2019,39(7):2099-2107.
作者姓名:陈昌明  张岩  张博康  马翔山  刘子奇  曹孟京  柴毓蔓  陈锋华
作者单位:北京工业大学建筑工程学院,北京市水质科学与水环境恢复工程重点实验室,北京100124;北京工业大学建筑工程学院,北京市水质科学与水环境恢复工程重点实验室,北京100124;北京工业大学建筑工程学院,北京市水质科学与水环境恢复工程重点实验室,北京100124;北京工业大学建筑工程学院,北京市水质科学与水环境恢复工程重点实验室,北京100124;北京工业大学建筑工程学院,北京市水质科学与水环境恢复工程重点实验室,北京100124;北京工业大学建筑工程学院,北京市水质科学与水环境恢复工程重点实验室,北京100124;北京工业大学建筑工程学院,北京市水质科学与水环境恢复工程重点实验室,北京100124;北京工业大学建筑工程学院,北京市水质科学与水环境恢复工程重点实验室,北京100124
基金项目:人才培养质量建设-双培计划新兴专业建设基金资助项目(No.PXM2016_014204_001030_00205969_FCG)
摘    要:厌氧流化床膜生物反应器(AFMBR)作为一种低耗产能的高效厌氧反应器,在处理生活污水中有着巨大的潜力.本研究主要利用宏基因组测序技术对AFMBR系统内的微生物菌群进行探究,结果表明:与接种菌群相比,AFMBR经过一段时间的连续运行后,在属水平上古菌优势菌属由接种时的甲烷囊菌属变为甲烷八叠球菌属、甲烷杆菌属,细菌的整体菌属结构发生了较大变化;在种水平上,系统内不存在较明显的优势菌种.从相对丰度比例≥1%的菌种来看:水解发酵菌群产氢产乙酸菌群产甲烷菌群,但各菌群之间相对丰度的差距较小.从基因水平来看,系统内与碳水化合物代谢、氨基酸代谢、能量代谢相关的基因丰度较高,二氧化碳、乙酸转化为甲烷是系统产甲烷的主要途径.

关 键 词:厌氧流化床膜生物反应器  生活污水  宏基因组测序
收稿时间:2018/11/30 0:00:00
修稿时间:2019/1/15 0:00:00

Study on the characteristics of microbial community in anaerobic fluidized bed membrane bioreactor for domestic wastewater treatment
CHEN Changming,ZHANG Yan,ZHANG Bokang,MA Xiangshan,LIU Ziqi,CAO Mengjing,CHAI Yuman and CHEN Fenghua.Study on the characteristics of microbial community in anaerobic fluidized bed membrane bioreactor for domestic wastewater treatment[J].Acta Scientiae Circumstantiae,2019,39(7):2099-2107.
Authors:CHEN Changming  ZHANG Yan  ZHANG Bokang  MA Xiangshan  LIU Ziqi  CAO Mengjing  CHAI Yuman and CHEN Fenghua
Institution:Key Laboratory of Water Quality Science and Water Environment Recovery Engineering, College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124,Key Laboratory of Water Quality Science and Water Environment Recovery Engineering, College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124,Key Laboratory of Water Quality Science and Water Environment Recovery Engineering, College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124,Key Laboratory of Water Quality Science and Water Environment Recovery Engineering, College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124,Key Laboratory of Water Quality Science and Water Environment Recovery Engineering, College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124,Key Laboratory of Water Quality Science and Water Environment Recovery Engineering, College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124,Key Laboratory of Water Quality Science and Water Environment Recovery Engineering, College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124 and Key Laboratory of Water Quality Science and Water Environment Recovery Engineering, College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124
Abstract:As an efficient anaerobic reactor with low power consumption, anaerobic fluidized bed membrane bioreactor (AFMBR) has great potential in domestic wastewater treatment. In this research, microbes in the AFMBR system were explored by metagenomics technology. The results show that compared with the inoculated bacteria, the archaea were transformed from Methanoculleus to Methanosarcina and Methanobacterium at the genus level. Meanwhile, the structure of bacteria changed enormously. There is no obvious dominant strain in the system at the species level. For relative abundance over 1%, the bacteria population follows in order of hydrolysate fermented bacteria > hydrogen-producing acetogenic bacteria > methanogens, while the difference of their relative abundance was low. From the gene level, the relative abundance of genes related to carbohydrate metabolism, amino acid metabolism and energy metabolism was relatively high. Additionally, the conversion of carbon dioxide and acetic acid is the principal pathway of methane production.
Keywords:anaerobic fluidized bed membrane bioreactor  domestic wastewater  macrogenome sequencing
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