Community dynamics of ammonia oxidizing bacteria in a full-scale wastewater treatment system with nitrification stability

Stochasticity versus determinism: Microbial community assembly patterns under specific conditions in petrochemical activated sludge

The pattern of microbial community assembly in petrochemical sludge is not well-explained. In this study, three kinds of petrochemical activated sludge (AS) from the same seed sludge were investigated to determine their microbial assembly pattern for long-term adaptation. Beta Nearest Taxon Index analysis revealed that the assembly strategies of the abundant and rare operational taxonomic unit (OTU) sub-communities are different for archaeal and bacterial communities. Abundant OTUs preferred deterministic processes, whereas rare OTUs randomly formed due to weak selection. Canonical correspondence analysis/variation partition analysis and Mantel testing results revealed that ammonium, petroleum, and chromium (Cr (VI)) mainly structured the abundant sub-communities. On the other hand, environmental variables, including ammonium, petroleum, and heavy metals, shaped the rare sub-communities. The PICRUSt2 tool was used to predict the functions. Results indicated a greater abundance of microbes harboring the hydrocarbon degradation pathway and heavy-metal-resistant enzymes. Cross-treatment experiments using one type of AS to treat the other two kinds of wastewater were conducted. The results of the cross-treatment experiments and qPCR both suggest the functional adaptation of the microbial community. We revealed selection strategies for the adaptation of bacteria and archaea in AS during environmental changes, providing a theoretical basis for petrochemical wastewater treatment.

Effects of the ammonium loading rate on nitrite-oxidizing activity during nitrification at a high dose of inorganic carbon

In this study, the effects of the ammonium loading rate (ALR) and inorganic carbon loading rate (ILR) on the nitrification performance and composition of a nitrifying bacterial community were investigated in a moving bed biofilm reactor, using poly(vinyl alcohol) (PVA) sponge cubes as a supporting carrier. Between the two ALRs of 0.36 and 2.16 kg-N m^-1 d^-1, stable partial nitritation was achieved at the higher ALR. Inorganic carbon was dosed at high levels: 33.1, 22.0, 16.4, 11.0, and 5.4 times the theoretical amount. Nonetheless, nitrification efficiency was not affected by the ILR at the two ALRs. Quantitative PCR analysis of ammonia- and nitrite-oxidizing bacteria revealed that ALR is an important determinant of partial nitritation by accumulating ammonia-oxidizing bacteria in the nitrification system. In comparison, two nitrite-oxidizing bacterial genera (Nitrobacter and Nitrospira) showed almost the same relative abundance at various ALRs and ILRs. Terminal restriction fragment length polymorphism targeting the gene of ammonia monooxygenase subunit A revealed that Nitrosomonas europaea dominated under all conditions.

Remediation of pharmaceuticals and personal care products using an aerobic granular sludge sequencing bioreactor and microbial community profiling using Solexa sequencing technology analysis

Recently, a new type of organic pollution derived from pharmaceuticals and personal care products (PPCPs) is gradually on the rise. Wastewater treatment to remove PPCPs was investigated using an aerobic granular sludge sequencing bioreactor (GSBR). After optimization of influent organic load, hydraulic shear stress, sludge settling time, etc., aerobic granular sludge was analyzed for its physiological and biochemical characteristics and tested for its efficacy to remove PPCPs wastewater. The granular sludge effectively removed some but not all of the PPCPs tested; removal correlated with the microbial profiles in the granules, as assessed using Solexa sequencing technology. Sequencing revealed the presence of five phylogenetic groups: Proteobacteria, Bacteroidetes, Betaproteobacteria, an unclassified genus, and Zoogloea. The results demonstrated changes in the microbial profiles with time in response to the presence of PPCPs. The effects of PPCPs on microbial communities in granular sludge process are discussed.

Linkages between microbial functional potential and wastewater constituents in large-scale membrane bioreactors for municipal wastewater treatment

Large-scale membrane bioreactors (MBRs) have been widely used for the municipal wastewater treatment, whose performance relies on microbial communities of activated sludge. Nevertheless, microbial functional structures in MBRs remain little understood. To gain insight into functional genes and their steering environmental factors, we adopted GeoChip, a high-throughput microarray-based tool, to examine microbial genes in four large-scale, in-operation MBRs located in Beijing, China. The results revealed substantial microbial gene heterogeneity (43.7-85.1% overlaps) among different MBRs. Mantel tests indicated that microbial nutrient cycling genes were significantly (P < 0.05) correlated to influent COD, [Formula: see text] -N, TP or sulfate, which signified the importance of microbial mediation of wastewater constituent removal. In addition, functional genes shared by all four MBRs contained a large number of genes involved in antibiotics resistance, metal resistance and organic remediation, suggesting that they were required for degradation or resistance to toxic compounds in wastewater. The linkages between microbial functional structures and environmental variables were also unveiled by the finding of hydraulic retention time, influent COD, [Formula: see text] -N, mixed liquid temperature and humic substances as major factors shaping microbial communities. Together, the results presented demonstrate the utility of GeoChip-based microarray approach in examining microbial communities of wastewater treatment plants and provide insights into the forces driving important processes of element cycling.

Microbial community functional structures in wastewater treatment plants as characterized by GeoChip

Background

Biological WWTPs must be functionally stable to continuously and steadily remove contaminants which rely upon the activity of complex microbial communities. However, knowledge is still lacking in regard to microbial community functional structures and their linkages to environmental variables.

Aims

To investigate microbial community functional structures of activated sludge in wastewater treatment plants (WWTPs) and to understand the effects of environmental factors on their structure.

Methods

12 activated sludge samples were collected from four WWTPs in Beijing. A comprehensive functional gene array named GeoChip 4.2 was used to determine the microbial functional genes involved in a variety of biogeochemical processes such as carbon, nitrogen, phosphorous and sulfur cycles, metal resistance, antibiotic resistance and organic contaminant degradation.

Results

High similarities of the microbial community functional structures were found among activated sludge samples from the four WWTPs, as shown by both diversity indices and the overlapped genes. For individual gene category, such as egl, amyA, lip, nirS, nirK, nosZ, ureC, ppx, ppk, aprA, dsrA, sox and benAB, there were a number of microorganisms shared by all 12 samples. Canonical correspondence analysis (CCA) showed that the microbial functional patterns were highly correlated with water temperature, dissolved oxygen (DO), ammonia concentrations and loading rate of chemical oxygen demand (COD). Based on the variance partitioning analyses (VPA), a total of 53% of microbial community variation from GeoChip data can be explained by wastewater characteristics (25%) and operational parameters (23%), respectively.

Conclusions

This study provided an overall picture of microbial community functional structures of activated sludge in WWTPs and discerned the linkages between microbial communities and environmental variables in WWTPs.

Microbial community structures in a closed raw water distribution system biofilm as revealed by 454-pyrosequencing analysis and the effect of microbial biofilm communities on raw water quality

This is the first report on the characterization of the microbial biofilm community structure and water quality change along a closed and stable raw water distribution system. 454-pyrosequencing was employed to investigate the microbial communities in four biofilm samples. 25,426 optimized sequences were obtained. Results showed Proteobacteria was the dominant phylum in each biofilm sample. The abundance of Nitrospiraes in M6 biofilm, Firmicutes in M8 biofilm, Actinobacteria in M9 biofilm were higher by comparing with other three biofilm samples. The M6 microbial biofilm community structure was similar to that of M7, dissimilar to that of M9. Dissolved oxygen and nitrogen was probably major factors to influence the microbial biofilm communities. Nitrospiraes in M6 biofilm and Firmicutes in M8 biofilm were crucial to remove ammonia nitrogen and nitrate in raw water. How to enrich functional microbes in biofilm to pretreat raw water is an important area of future research.

Population dynamics of bacteria involved in enhanced biological phosphorus removal in Danish wastewater treatment plants

The enhanced biological phosphorus removal (EBPR) process is increasingly popular as a sustainable method for removal of phosphorus (P) from wastewater. This study consisted of a comprehensive three-year investigation of the identity and population dynamics of polyphosphate-accumulating organisms (PAOs) and glycogen-accumulating organisms (GAOs) in 28 Danish municipal wastewater treatment plants with nutrient removal. Fluorescence in situ hybridization was applied to quantify ten probe-defined populations of PAO and GAO that in total constituted a large fraction (30% on average) of the entire microbial community targeted by the EUBmix probes. Two PAO genera, Accumulibacter and Tetrasphaera, were very abundant in all EBPR plants (average of 3.7% and 27% of all bacteria, respectively), and their abundance was relatively stable in the Danish full-scale plants without clear temporal variations. GAOs were occasionally present in some plants (Competibacter in 11 plants, Defluviicoccus in 6 plants) and were consistent in only a few plants. This shows that these were not core species in the EBPR communities. The total GAO abundance was always lower than that of Accumulibacter. In plants without EBPR design, the abundance of PAO and GAO was significantly lower. Competibacter correlated in general with high fraction of industrial wastewater. In specific plants Accumulibacter correlated with high C/P ratio of the wastewater and Tetrasphaera with high organic loading. Interestingly, the relative microbial composition of the PAO/GAO species was unique to each plant over time, which gives a characteristic plant-specific "fingerprint".

N(2)O emission in a partial nitrification system: dynamic emission characteristics and the ammonium-oxidizing bacteria community

This study attempts to elucidate the dynamics of nitrous oxide (N(2)O) emission and investigate the evolution of the ammonium-oxidizing bacteria (AOB) community in a partial nitrification system producing an influent suitable for the anammox process. Based on long-term monitoring, (0.80 ± 0.19, n = 7)% of the incoming nitrogen load was emitted as N(2)O. During the partial nitrification process, the N(2)O emission rate reached a maximum at the beginning of the aerobic period and stabilized at a low level after an initial peak. Moreover, the quantity of N(2)O emission increased quickly at the beginning of the cycle operation and then production slowed after 30 min. According to polymerase chain reaction (PCR) and denaturing gradient gel electrophoresis (DGGE) analysis, the dominant AOB causing the N(2)O emission from the partial nitrification system were Nitrosomonas sp. Both Nitrosomonas sp. Nm33 and Nitrosomonas sp. Nm58 were enriched at high ammonia concentrations.

Microbial community structures in different wastewater treatment plants as revealed by 454-pyrosequencing analysis

In this study, 454-pyrosequencing technology was employed to investigate the microbial communities in 12 municipal wastewater treatment plants (WWPTs) with different treatment processes. In total, 202,968 effective sequences of the 16S rRNA gene were generated from 16 samples that widely represented the diversity of the microbial communities. While Proteobacteria was found to be the dominant phylum in some samples, in other samples it was Bacteroidetes. The Simpson's diversity index and evenness index were lowest in samples from membrane bioreactors (MBRs), possibly due to the long sludge retention time (SRT) and low food/microorganism ratio (F/M). For one WWTP which had two disparate treatment processes operating in parallel, the structures of microbial communities in the two systems were compared. The differences found between the two indicated that the treatment process likely had effects on the structure of microbial communities.