摘要
为了强化生物反应器脱氮以及揭示微生物菌群结构随时间的动态变化,以Ochrobactrum anthropi XH02和SBR反应器为研究对象,利用16Sr DNA高通量测序技术,对不同时期反应器中微生物的菌群结构和多样性进行了动态分析.研究结果表明,XH02菌的加入使得反应器中TN和COD的去除率分别提升了15%和10%以上;反应器中微生物菌群在属水平上的相对丰度和多样性呈先下降后上升的趋势;XH02的加入对菌群结构产生了较大影响.Acinetobacter、Blvii28和Aquabactenium菌的相对丰度显著下降,而Fontibacter和Treponema菌的相对丰度则在强化过程中显著升高;XH02的相对丰度随着反应器的运行逐渐增加,最后形成了较为稳定的菌群;主成分分析和UPGMA聚类分析大致把反应器运行过程分成4个阶段.
To improve the denitrification of bio-reactor and reveal dynamic changes of microbial community structure over time,the microbial community structure and diversity were analyzed by high-throughput sequencing technology in different stages of the SBR reactor inoculated with heterotrophic nitrification-aerobic denitrification XH02.Results showed that the removal rates of TN and COD increased by more than15%and10%,respectively.The relative abundance and diversity of microbial flora on the genus level decreased at first and then increased.XH02exerted a great influence on the microbial community structure of indigenous microorganisms,leading to a significant decrease in the relative abundance of Acinetobacter,Blvii28and Aquabactenium,but a visible increase in the relative abundance of Treponema and Fontibacter.The relative abundance of XH02increased gradually with the operation of the reactor until a relatively stable flora was finally established.The SBR operation was roughly divided into four stages based on the results of principal component analysis(PCA)and UPGMA cluster analysis.
作者
黄郑郑
曹刚
李紫惠
陈海升
莫测辉
HUANG Zheng-zheng;CAO Gang;LI Zi-hui;CHEN Hai-sheng;MO Ce-hui(School of Environment, Jinan University, Guangzhou 510630, China;Guangdong Engineering Center for Environment Contamination Control and Restorative Materials, Guangzhou 510630, China)
出处
《中国环境科学》
EI
CAS
CSSCI
CSCD
北大核心
2017年第5期1922-1929,共8页
China Environmental Science
基金
国家基金委-广东省政府联合基金重点项目(U1501233)
广东省基金研究团队项目(2016A030312009)
广东省环境污染控制与修复材料工程技术研究中心建设项目(2015B090903070)
关键词
异养硝化-好氧反硝化
生物多样性
高通量测序技术
SBR反应器
菌群结构
heterotrophic nitrification-aerobic denitrification
biological diversity
high throughput sequencing technology
SBR
microbial community structure