Zhu Shuang, Wu Haizhen, Wei Chaohai, Zhou Lin, Xie Junting
Guangdong Province Key Laboratory for Biotechnology Drug Candidates, School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, 510006, People's Republic of China.
College of Biological Science and Engineering, South China University of Technology, Guangzhou, 510006, People's Republic of China.
Appl Microbiol Biotechnol. 2016 Jan;100(2):949-60. doi: 10.1007/s00253-015-7009-z. Epub 2015 Oct 1.
To characterize the microbial community of the coking wastewater (CWW) treatment system and to study the effects of CWW characteristics and operational parameters on microbial communities, active sludge samples were collected from a full-scale CWW treatment plant using three-phase fluidized bed biological reactors. High-throughput MiSeq sequencing was used to examine the 16S rRNA genes of microbiology, revealing a distinct microbial composition among the active sludge samples of three sequential bioreactors. Pseudomonas, Comamonas, and Thiobacillus-related sequences dominated in the anaerobic bioreactor A, aerobic bioreactor O1, and aerobic bioreactor O2 active sludge with relative abundance of 72.59, 56.75, and 27.82 %, respectively. The physico-chemical characteristics of CWW were analyzed by standard methods and operational parameters were recorded to examine their effects on the microbial communities. The redundancy analysis (RDA) results showed that the bacterial communities of bioreactors A, O1, and O2 correlated strongly with cyanides, phenols, and ammonia, respectively. These results expand the knowledge about the biodiversity and population dynamics of microorganisms and discerned the relationships between bacterial communities and environmental variables in the biological treatment processes in the full-scale CWW treatment system.
为了表征焦化废水(CWW)处理系统的微生物群落,并研究CWW特性和运行参数对微生物群落的影响,从一家采用三相流化床生物反应器的全规模CWW处理厂采集了活性污泥样本。利用高通量MiSeq测序检测微生物的16S rRNA基因,揭示了三个串联生物反应器活性污泥样本中不同的微生物组成。假单胞菌属、丛毛单胞菌属和硫杆菌属相关序列在厌氧生物反应器A、好氧生物反应器O1和好氧生物反应器O2的活性污泥中占主导地位,相对丰度分别为72.59%、56.75%和27.82%。采用标准方法分析了CWW的理化特性,并记录了运行参数,以研究它们对微生物群落的影响。冗余分析(RDA)结果表明,生物反应器A、O1和O2的细菌群落分别与氰化物、酚类和氨密切相关。这些结果扩展了关于微生物生物多样性和种群动态的知识,并揭示了全规模CWW处理系统生物处理过程中细菌群落与环境变量之间的关系。