title: Overall functional gene diversity of microbial communities in three full-scale activated sludge bioreactors.
abstract: Understanding microbial community composition is thought to be crucial for improving process functioning and stabilities of full-scale activated sludge reactors in wastewater treatment plants (WWTPs). However, functional gene compositions of microbial communities within them have not been clearly elucidated. To gain a complete picture of microbial community, in this study, GeoChip 4.2 was used to profile the overall functional genes of three full-scale activated sludge bioreactors, the 16S rRNA gene diversities of which had been unveiled by 454-pyrosequencing in our previous investigation. Triplicate activated sludge samples from each system were analyzed, with the detection of 38,507 to 40,654 functional genes. A high similarity of 77.3-81.2 % shared functional genes was noted among the nine samples, verified by the high 16S rRNA gene similarity with shared operational taxonomic units (OTUs) constituting 66.4-70.0 % of the detected sequences in each system. Correlation analyses showed that the abundances of a wide array of functional genes were associated with system performances. For example, the abundances of carbon degradation genes were strongly correlated to chemical oxygen demand (COD) removal efficiencies (r = 0.8697, P < 0.01). Lastly, we found that sludge retention time (SRT), influent total nitrogen concentrations (TN inf), and dissolved oxygen (DO) concentrations were key environmental factors shaping the overall functional genes. Together, the results revealed vast functional gene diversity and some links between the functional gene compositions and microbe-mediated processes.
authors.affiliation: Environmental Simulation and Pollution Control State Key Joint Laboratory, School of Environment, Tsinghua University, 100084, Beijing, People's Republic of China.
authors.forename: Yu
authors.initials: Y
authors.lastname: Xia
authors.forename: Xiaohui
authors.initials: X
authors.lastname: Wang
authors.forename: Xianghua
authors.initials: X
authors.lastname: Wen
authors.forename: Kun
authors.initials: K
authors.lastname: Ding
authors.forename: Jizhong
authors.initials: J
authors.lastname: Zhou
authors.forename: Yunfeng
authors.initials: Y
authors.lastname: Yang
authors.forename: Yu
authors.initials: Y
authors.lastname: Zhang
mesh_terms: D019149:Bioreactors / Q000382:microbiology*; D058448:Biota; D004275:DNA, Ribosomal / Q000737:chemistry / Q000235:genetics; D014644:Genetic Variation; D053858:Metabolic Networks and Pathways / Q000235:genetics*; D008969:Molecular Sequence Data; D012336:RNA, Ribosomal, 16S / Q000235:genetics; D017422:Sequence Analysis, DNA; D012722:Sewage / Q000382:microbiology*; D018508:Water Purification / Q000379:methods
chemical_list: D004275:DNA, Ribosomal; D012336:RNA, Ribosomal, 16S; D012722:Sewage