Analysis of bacterial community composition in wastewater treatment bioreactors using 16S rRNA gene-based pyrosequencing

Bacterial community composition in activated sludge wastewater treatment bioreactors were analyzed using 16S rRNA gene-based pyrosequencing for the four different wastewater treatment processes. Sequences within the orders Rhodocyclales, Burkholderiales, Sphingobacteriales, Myxococcales, Xanthomonadales, Acidobacteria group 4, Anaerolineales, Methylococcales, Nitrospirales, and Planctomycetales constituted 54-68% of total sequences retrieved in the activated sludge samples, which demonstrated that a few taxa constituted majority of the activated sludge bacterial community. The relative ratio of the order members was different for each treatment process, which was assumed to be affected by different operational and environmental conditions of each treatment process. In addition, activated sludge had very diverse bacterial species (Chao1 richness estimate: 1,374-2,902 operational taxonomic units), and the diversity was mainly originated from rare species. Particularly, the bacterial diversity was higher in membrane bioreactor than conventional treatment processes, and the long solids retention time of the operational strategy of the membrane bioreactor appeared to be appropriate for sustaining diverse slow growing bacteria. This study investigating bacterial communities in different activated sludge processes using a high-throughput pyrosequencing technology would be helpful for understanding microbial ecology in activated sludge and for improving wastewater treatment in the future.