中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatial distribution of bacterial community in EGSB reactor treating synthetic sulfate-containing wastewater at low organic loading rate

文献类型:期刊论文

作者Zhang, Kai1,2; Cao, Xiaolei1,2,3; Sheng, Yuxing1,2; Cao, Hongbin1,2
刊名CHINESE SCIENCE BULLETIN
出版日期2014
卷号59期号:1页码:54-61
关键词Sulfate-reducing bacteria Bacterial community Denaturing gradient gel electrophoresis (DGGE) 16S rDNA Low organic loading rate
ISSN号1001-6538
其他题名Chin. Sci. Bull.
中文摘要Given that the consumption of organic substances entails costly biodesulfurization, the characteristics of the bacterial community in a reactor should be determined to increase the desulfurizing rate under low organic loading condition. In this study, the bacterial community distribution in the expanded granular sludge bed reactor used to treat sulfate-containing wastewater with low organic loading rate was determined by polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) and 16S rDNA clone library analyses. DGGE results showed that the predominant bacteria were stable and accounted for similar to 90 % sulfate removal efficiency. Differences in band positions and intensities indicated that the distribution and abundance of bacteria were affected by their positions in the reactor. Typical bands were identified in the bacterial community comprising Desulfovibrio, Desulfomicrobium, Thiomonas, Acinetobacter, Bacteroidetes, and Chloroflexi. Their functions in the reactor were also discussed. The possible links between the functional and microbial responses were also investigated based on the characteristic and spatial distribution of each bacterium in consortium.
英文摘要Given that the consumption of organic substances entails costly biodesulfurization, the characteristics of the bacterial community in a reactor should be determined to increase the desulfurizing rate under low organic loading condition. In this study, the bacterial community distribution in the expanded granular sludge bed reactor used to treat sulfate-containing wastewater with low organic loading rate was determined by polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) and 16S rDNA clone library analyses. DGGE results showed that the predominant bacteria were stable and accounted for similar to 90 % sulfate removal efficiency. Differences in band positions and intensities indicated that the distribution and abundance of bacteria were affected by their positions in the reactor. Typical bands were identified in the bacterial community comprising Desulfovibrio, Desulfomicrobium, Thiomonas, Acinetobacter, Bacteroidetes, and Chloroflexi. Their functions in the reactor were also discussed. The possible links between the functional and microbial responses were also investigated based on the characteristic and spatial distribution of each bacterium in consortium.
WOS标题词Science & Technology
类目[WOS]Multidisciplinary Sciences
研究领域[WOS]Science & Technology - Other Topics
关键词[WOS]ACTIVATED-SLUDGE ; REDUCTION ; CARBON
收录类别SCI
原文出处://WOS:000329631800009
语种英语
WOS记录号WOS:000329631800009
公开日期2014-05-06
版本出版稿
源URL[http://ir.ipe.ac.cn/handle/122111/8209]  
专题过程工程研究所_研究所(批量导入)
作者单位1.Chinese Acad Sci, Inst Proc Engn, Natl Key Lab Biochem Engn, Beijing 100190, Peoples R China
2.Natl Engn Lab Hydromet Cleaner Prod Technol, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Kai,Cao, Xiaolei,Sheng, Yuxing,et al. Spatial distribution of bacterial community in EGSB reactor treating synthetic sulfate-containing wastewater at low organic loading rate[J]. CHINESE SCIENCE BULLETIN,2014,59(1):54-61.
APA Zhang, Kai,Cao, Xiaolei,Sheng, Yuxing,&Cao, Hongbin.(2014).Spatial distribution of bacterial community in EGSB reactor treating synthetic sulfate-containing wastewater at low organic loading rate.CHINESE SCIENCE BULLETIN,59(1),54-61.
MLA Zhang, Kai,et al."Spatial distribution of bacterial community in EGSB reactor treating synthetic sulfate-containing wastewater at low organic loading rate".CHINESE SCIENCE BULLETIN 59.1(2014):54-61.

入库方式: OAI收割

来源:过程工程研究所

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