Analysis of microbial community in in-situ sludge reduction process by bioaugmentation using high-throughput sequencing technology
SONG Yun-long1, ZHANG Jin-song1, ZHU Jia2, SHAO Ming-fei1, DENG Ren-jian1
1. School of Civil and Environment Engineering, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China;
2. School of Civil and Environmental Engineering, Shenzhen Polytechnic, Shenzhen 518055, China
High-throughput sequencing was used to parse the microbial community of activated sludge in an in-situ sludge reduction process. Microbial community structure shifted dramatically as the result of bioaugmentation. The abundance of Lactobacillus and Acetobacterium increased significantly in bioaugmentation group. Community diversity indices including Simpson index, Shannon index and Pielou index rised at different degrees in anaerobic zone of bioaugmentation group. Cluster analysis indicated that microbial communities were obviously grouped into three clusters in chronological order. In anaerobic zone of bioaugmentation group, the community structure shifted more obviously over time. Through principal coordinate analysis, communities of bioaugmentation group and control group were grouped into two distinct areas. Synergistic efforts of bioaugmentation and DO reduction were the driving forces of community shift in bioaugmentation group, while DO reduction was the driving force in control group. Canonical correspondence analysis showed that pH, water temperature and DO were the dominant environmental factors, which affected the microbial community structure significantly.
宋云龙, 张金松, 朱佳, 邵明非, 邓仁健. 基于高通量测序的微生物强化污泥减量工艺中微生物群落解析[J]. 中国环境科学, 2016, 36(7): 2099-2107.
SONG Yun-long, ZHANG Jin-song, ZHU Jia, SHAO Ming-fei, DENG Ren-jian. Analysis of microbial community in in-situ sludge reduction process by bioaugmentation using high-throughput sequencing technology. CHINA ENVIRONMENTAL SCIENCECE, 2016, 36(7): 2099-2107.
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