摘要
为了研究反硝化脱硫工艺(denitrifying sulfide removal,DSR)中微生物群落与工艺运行的相关性,实验提取了反应器运行不同阶段污泥样品中微生物的全基因组DNA,利用高通量宏基因组学技术———基因芯片来解析各阶段功能微生物群落的结构特征及其演替过程.通过对功能基因的Simpson、Shannon多样性指数和聚类分析表明,微生物群落结构会随着反应器运行的阶段进行相应调整,且变化较大.在运行的前两个阶段,由于不适应环境,微生物群落的多样性指数比起始时明显减少,随着反应器的运行污泥逐渐成熟,多样性指数迅速增加,也标志着反应器进入稳定运行阶段.通过对反硝化脱硫过程中关键基因相对丰度的分析发现,功能基因的丰度不仅能反映功能菌群的活性,而且与工艺处理效果密切相关.
In order to investigate the relationship between the structure of microbial community and the operational efficiency of the denitrifying sulfide removal （DSR） process, whole genomic DNA was extracted from sludge samples at each operational stage. Functional gene arrays （FGAs） , a high throughput metagenomic technology, was employed to characterize the change of microbial community structure in DSR process. The results of diversity indices （ Simpson and Shannon indices） and clustering showed that the microbial community structure changed greatly with stages according to the operational conditions. In stage I and II , diversity indices and richness decreased due to acclimation of the microbial community to the environment, whereas they increased notably according to the maturing of sludge which may indicate that the bioreactor entered the steady stage. Analysis of key functional genes showed that the abundance of genes did not only reflect the activities of functional bacteria but also had a close relationship with the reactor performance.
出处
《环境科学》
EI
CAS
CSCD
北大核心
2013年第3期1190-1195,共6页
Environmental Science
基金
国家高技术研究发展计划(863)项目(2011AA060904)
