Analysis of bacterial community in bulking sludge using culture-dependent and -independent approaches

Responses of bacterial and bacteriophage communities to long-term exposure to antimicrobial agents in wastewater treatment systems

The occurrence of antibacterial agents has received increasing concern due to their possible threats to human health. However, the effects of antibacterial residues on the evolution and dynamics between bacteria and bacteriophages in wastewater treatment systems have seldom been researched. Especially for phages, little is known about their response to antimicrobial exposure. In this study, two identical anoxic-aerobic wastewater treatment systems were established to evaluate the responses of bacterial and phage communities to long-term exposure to antimicrobial agents. The results indicated simultaneous exposure to combined antimicrobials significantly inhibited (p < 0.05) the abundance of phages and bacteria. Metagenomic sequencing analysis indicated the community of bacteria and phages changed greatly at the genus level due to combined antibacterial exposure. Additionally, long-term exposure to antimicrobial agents promoted the attachment of receptor-binding protein genes to Klebsiella, Escherichia and Salmonella (which were all members of Enterobacteriaceae). Compared to that in the control system, the numbers of receptor-binding protein genes on their possible phages (such as Lambdalikevirus and P2likevirus) were also obviously higher when the microorganisms were exposed to antimicrobials. The results are helpful to understanding the microbial communities and tracking the relationship of phage-bacterial host systems, especially under the pressure of antimicrobial exposure.

Applying artificial neural networks (ANNs) to solve solid waste-related issues: A critical review

Artificial neural networks (ANNs) have recently attracted significant attention in environmental areas because of their great self-learning capability and good accuracy in mapping complex nonlinear relationships. These properties of ANNs benefit their application in solving different solid waste-related issues. However, the configurations, including ANN framework, algorithm, data set partition, input parameters, hidden layer, and performance evaluation, vary and have not reached a consensus among relevant studies. To address the current state of the art of ANN application in the solid waste field and identify the commonalities of ANNs, this critical review was conducted by focusing on a modeling perspective and using 177 relevant papers published over the last decade (2010-2020). We classified the reviewed studies into four categories in terms of research scales. ANNs were found to be applied widely in waste generation and technological parameter prediction and proven effective in solving meso-microscale and microscale issues, including waste conversion, emissions, and microbial and dynamic processes. Given the difficulty of data collection in many solid waste-related issues, most studies included a data size of 101-150. For mathematical optimization, dividing the data into training-validation-test sets is preferable, and the training set is supposed to account for ~70%. A single hidden layer is usually sufficient, and the optimal numbers of hidden layer nodes most likely range from 4 to 20. This review is supposed to contribute basic and comprehensive knowledge to the researchers in general waste management and specialized ANN study on solid waste-related issues.

Understanding the Dependence of Micropollutant Biotransformation Rates on Short-Term Temperature Shifts

Temperature is a key factor that influences chemical biotransformation potential and rates, on which exposure and fate models rely to predict the environmental (micro)pollutant fate. Arrhenius-based models are currently implemented in environmental exposure assessment to adapt biotransformation rates to actual temperatures, assuming validity in the 0-30 °C range. However, evidence on how temperature shifts affect the physicochemical and microbial features in biological systems is scarce, questioning the validity of the existing modeling approaches. In this work, laboratory-scale batch assays were designed to investigate how a mixed microbial community responds to short-term temperature shifts, and how this impacts its ability to biotransform a range of structurally diverse micropollutants. Our results revealed three distinct kinetic responses at temperatures above 20 °C, mostly deviating from the classic Arrhenius-type behavior. Micropollutants with similar temperature responses appeared to undergo mostly similar initial biotransformation reactions, with substitution-type reactions maintaining Arrhenius-type behavior up to higher temperatures than oxidation-type reactions. Above 20 °C, the microbial community also showed marked shifts in both composition and activity, which mostly correlated with the observed deviations from Arrhenius-type behavior, with compositional changes becoming a more relevant factor in biotransformations catalyzed by more specific enzymes (e.g., oxidation reactions). Our findings underline the need to re-examine and further develop current environmental fate models by integrating biological aspects, to improve accuracy in predicting the environmental fate of micropollutants.

High-strength anaerobic digestion wastewater treatment by aerobic granular sludge in a step-by-step strategy

To reduce the instability of aerobic granular sludge (AGS) caused by high-strength anaerobic digestion wastewater, a strategy of increasing proportion of anaerobic digestion wastewater step-by-step was adopted in this study. High-performance stable AGSs were successfully cultivated with sequencing batch reactors by this strategy, which could efficiently treat high-strength anaerobic digestion wastewater with an influent chemical oxygen demand (COD) up to 5090 mg⋅L^-1. After six phases of stepwise increasing COD loads, the sludge sizes increased from 0.5 mm to 1.5 mm, with the final mixed liquor suspended solids increased to 13,814 mg⋅L^-1, and the final sludge volume index decreased to 15 mL⋅g^-1. The extracellular polymeric substance (EPS), which is crucial to keep the stability of AGS, increased continuously from 85.1 mg⋅g^-1 SS to 307.8 mg⋅g^-1 SS with the increase of COD loads. Moreover, the removal efficiency of COD and TN could reach 92% and 87% for real high-strength anaerobic digestion wastewater treatment. The bacterial community analysis revealed that the family Rhodocyclaceae, Flavobacteriaceae, and Xanthomonadaceae were the major microbes of AGS, and were responsible for COD and TN removal, as well as EPS secretion. These findings may provide novel information and enrich AGS treatment of high-strength real wastewater.

Factors influencing Candidatus Microthrix parvicella growth and specific filamentous bulking control: A review

Candidatus Microthrix parvicella has been frequently detected as the dominant filamentous bacteria in bulking sludge and thus seriously affects the stable operation of activated sludge processes. The extremely low growth rate of Ca. M. parvicella and its sensitivity to environmental variations greatly limit the development of effective techniques to control filamentous bulking. Based on previous investigations, a variety of restrictive substrates, operating and culture conditions, environmental factors and other potential inhibitors have varying degrees of impact on the growth of this microorganism. This review systematically summarizes the key factors affecting Ca. M. parvicella growth with a focus on the influencing mechanism. Recent filamentous bulking control strategies are also critically reviewed and discussed. Additionally, research needs for the next few years are proposed with the aim of establishing effective and specific control strategies for filamentous sludge bulking.

Casimicrobium huifangae gen. nov., sp. nov., a Ubiquitous "Most-Wanted" Core Bacterial Taxon from Municipal Wastewater Treatment Plants

Microorganisms in wastewater treatment plants (WWTPs) play a key role in the removal of pollutants from municipal and industrial wastewaters. A recent study estimated that activated sludge from global municipal WWTPs harbors 1 × 10⁹ to 2 × 10⁹ microbial species, the majority of which have not yet been cultivated, and 28 core taxa were identified as "most-wanted" ones (L. Wu, D. Ning, B. Zhang, Y. Li, et al., Nat Microbiol 4:1183-1195, 2019, https://doi.org/10.1038/s41564-019-0426-5). Cultivation and characterization of the "most-wanted" core bacteria are critical to understand their genetic, physiological, phylogenetic, and ecological traits, as well as to improve the performance of WWTPs. In this study, we isolated a bacterial strain, designated SJ-1, that represents a novel cluster within Betaproteobacteria and corresponds to OTU_16 within the 28 core taxa in the "most-wanted" list. Strain SJ-1 was identified and nominated as Casimicrobium huifangae gen. nov., sp. nov., of a novel family, Casimicrobiaceae. C. huifangae is ubiquitously distributed and is metabolically versatile. In addition to mineralizing various carbon sources (including carbohydrates, aromatic compounds, and short-chain fatty acids), C. huifangae is capable of nitrate reduction and phosphorus accumulation. The population of C. huifangae accounted for more than 1% of the bacterial population of the activated sludge microbiome from the Qinghe WWTP, which showed seasonal dynamic changes. Cooccurrence analysis suggested that C. huifangae was an important module hub in the bacterial network of Qinghe WWTP.IMPORTANCE The activated sludge process is the most widely applied biotechnology and is one of the best ecosystems to address microbial ecological principles. Yet, the cultivation of core bacteria and the exploration of their physiology and ecology are limited. In this study, the core and novel bacterial taxon C. huifangae was cultivated and characterized. This study revealed that C. huifangae functioned as an important module hub in the activated sludge microbiome, and it potentially plays an important role in municipal wastewater treatment plants.

Activated sludge bacterial communities of typical wastewater treatment plants: distinct genera identification and metabolic potential differential analysis

To investigate the differences in activated sludge microbial communities of different wastewater treatment plants (WWTPs) and understand their metabolic potentials, we sampled sludge from every biological treatment unit of 5 full-scale waste water treatment systems in 3 typical Chinese municipal WWTPs. The microbial communities and overall metabolic patterns were not only affected by influent characteristics but also varied between different biological treatment units. Distinct genera in different wastewater treatment systems were identified. The important microorganisms in domestic sewage treatment systems were unclassified SHA-20, Caldilinea, Dechloromonas, and unclassified genera from Rhodospirilaceae and Caldilineaceae. The important microorganisms in dyeing wastewater treatment systems were Nitrospira, Sphingobacteriales, Thiobacillus, Sinobacteraceae and Comamonadaceae. Compared with the obvious differences in microbial community composition, the metabolic potential showed no significant differences.

Assessment of Microbial Community Structure and Function in Serially Passaged Wastewater Electro-Bioreactor Sludge: An Approach to Enhance Sludge Settleability

Several studies have been carried out to understand bulking phenomena and the importance of environmental factors on sludge settling characteristics. The main objective of this study was to carry out functional characterization of microbial community structure of wastewater electro-bioreactor sludge as it undergoes serial passaging in the presence or absence of a current density over 15 days. Illumina MiSeq sequencing and QIIME were used to assess sludge microbial community shifts over time. (α) and (β) diversity analysis were conducted to assess the microbial diversity in electro-bioreactors. A phylogeny-based weighted UniFrac distance analysis was used to compare between bacterial communities while BIO-ENV trend and Spearman’s rank correlation analysis were performed to investigate how reactor operational parameters correlated with bacterial community diversity. Results showed that the removal efficiency of soluble chemical oxygen demand (sCOD) ranged from 91–97%, while phosphorous (PO₄³⁻-P) removal was approximately 99%. Phylogenetic analysis revealed stark differences in the development of sludge microbial communities in the control and treatment reactor. There was no mention of any studies aimed at characterizing functional microbial communities under electric field and the results communicated here are the first, to our knowledge, that address this gap in the literature.

Microbial community analysis of simultaneous ammonium removal and Fe3+ reduction at different influent ammonium concentrations

This study investigates the impacts of influent ammonium concentrations on the microbial community in immobilized heterotrophic ammonium removal system. Klebsiella sp. FC61, the immobilized species, has the ability to perform simultaneous ammonium removal and Fe³⁺ reduction. It was found that average ammonium removal rate decreased from 0.308 to 0.157 mg/L/h, as the influent NH₄⁺-N was reduced from 20 to 10 mg/L. Meanwhile, at a total Fe³⁺ concentration of 20 mg/L, the average Fe³⁺ reduction removal efficiency and rate decreased from 44.61% and 0.18 mg/L/h, to 27.10% and 0.11 mg/L/h, respectively. High-throughput sequencing was used to observe microbial communities in bioreactor Samples B1, B2, and B3, after exposure to different influent NH₄⁺-N conditions. Results show that higher influent NH₄⁺-N concentrations increased microbial richness and diversity and that Klebsiella sp. FC61 play a functional role in the simultaneous removal of NH₄⁺-N and Fe³⁺ reduction in bioreactor systems.

Detailed comparison of bacterial communities during seasonal sludge bulking in a municipal wastewater treatment plant

In this study, pyrosequencing combined with clone library analysis, qPCR, and fluorescent in situ hybridization (FISH) were performed to identify detailed changes of bacterial and filamentous bacterial communities in activated sludge (AS) in 3 types of typical AS samples: sludge bulking (B-AS), excessive bulking (EB-AS), and non-bulking (N-AS). Sludge bulking resulted in a decrease in total bacterial numbers from (6.4 ± 0.18) × 10⁸ gene copies/mL in N-AS to (2.4 ± 0.22) × 10⁸ in EB-AS and a decrease in bacterial diversity from 2757 OTUs in N-AS to 2217 OTUs in EB-AS. With the occurrence of sludge bulking, Actinobacteria and Firmicutes increased sharply, whereas Proteobacteria, which was the predominant phylum in N-AS, decreased markedly. In addition, Nitrospirae, a major lineage of the nitrite-oxidizing bacteria, had quite a low abundance in EB-AS (0.15%), while it was relatively high in N-AS (1.17%). On the other hand, filamentous bacteria accounted for 28.77% and 5.72% of total sequences in EB-AS and N-AS, respectively. More interestingly, 11 types of filamentous bacteria were always present in 3 types of typical AS samples from different stages of sludge bulking, and most of them enriched in EB-AS compared to N-AS. It is noteworthy that, in addition to the frequently reported filamentous bacteria such as Candidatus M. parvicella and Tetrasphaera, novel filamentous species of Trichococcus might exist in this bulking WWTP. Our results reveal that sludge bulking are derived from diverse taxa, which expands previous understanding and provides new insight into the underlying complications of the bulking phenomenon in AS.

Microbiological mechanism of the improved nitrogen and phosphorus removal by embedding microbial fuel cell in Anaerobic-Anoxic-Oxic wastewater treatment process

Anaerobic-Anoxic-Oxic (AA/O) wastewater treatment process is a widely used wastewater treatment process for simultaneous nitrogen and phosphorus removal. Microbial fuel cell (MFC) can generate electricity and treat the organic wastewater simultaneously. Our previous research showed that embedding MFC in AA/O wastewater treatment process could enhance the pollutants removal efficiency. However, the mechanism was not clear. In this study, a lab-scale corridor-style AA/O reactor with MFC embedded was operated and both the total nitrogen and total phosphorus removal efficiencies were enhanced. DGGE and Illumina Miseq results demonstrated that both the microbial community structures on the surface of the cathode and in the suspensions of cathode chamber have been changed. The percentage of Thauera and Emticicia, identified as denitrifying bacteria, increased significantly in the suspension liquid when the MFC was embedded in the AA/O reactor. Moreover, the genus Rheinheimera were significantly enriched on the cathode surface, which might contribute to both the nitrogen removal enhancement and electricity generation.

Microbial Community Structure of Activated Sludge in Treatment Plants with Different Wastewater Compositions

Activated sludge (AS) plays a crucial role in the treatment of domestic and industrial wastewater. AS is a biocenosis of microorganisms capable of degrading various pollutants, including organic compounds, toxicants, and xenobiotics. We performed 16S rRNA gene sequencing of AS and incoming sewage in three wastewater treatment plants (WWTPs) responsible for processing sewage with different origins: municipal wastewater, slaughterhouse wastewater, and refinery sewage. In contrast to incoming wastewater, the taxonomic structure of AS biocenosis was found to become stable in time, and each WWTP demonstrated a unique taxonomic pattern. Most pathogenic microorganisms (Streptococcus, Trichococcus, etc.), which are abundantly represented in incoming sewage, were significantly decreased in AS of all WWTPs, except for the slaughterhouse wastewater. Additional load of bioreactors with influent rich in petroleum products and organic matter was associated with the increase of bacteria responsible for AS bulking and foaming. Here, we present a novel approach enabling the prediction of the metabolic potential of bacterial communities based on their taxonomic structures and MetaCyc database data. We developed a software application, XeDetect, to implement this approach. Using XeDetect, we found that the metabolic potential of the three bacterial communities clearly reflected the substrate composition. We revealed that the microorganisms responsible for AS bulking and foaming (most abundant in AS of slaughterhouse wastewater) played a leading role in the degradation of substrates such as fatty acids, amino acids, and other bioorganic compounds. Moreover, we discovered that the chemical, rather than the bacterial composition of the incoming wastewater was the main factor in AS structure formation. XeDetect (freely available: https://sourceforge.net/projects/xedetect) represents a novel powerful tool for the analysis of the metabolic capacity of bacterial communities. The tool will help to optimize bioreactor performance and avoid some most common technical problems.

Interactions among mononitrophenol isomers during biodegradation of their mixtures

Continuous aerobic biodegradation of 4-NP, 3-NP and 2-NP mixture was monitored in a packed bed reactor in simulated wastewater with a mixed microbial culture immobilized on expanded slate. Substrate loading was varied by increasing the concentration of one isomer while keeping the other two at constant levels, all at a constant residence time of 60 min. At large concentrations, all of the individual NP isomers suppressed the degradation rates of the other isomers at steady state; however, the observed patterns and threshold concentrations were different for all three substrates. As a result, conditions were determined for stable and efficient removal of NP mixtures. Changes of the biofilm composition during a long-term operation were identified.

Characterization of microorganisms responsible for phosphorus removal linking operation performance with microbial community structure at low temperature

Two enhanced biological phosphorus removal (EBPR) reactors were started up at low temperatures to obtain microorganisms responsible for aerobic and anoxic phosphorus removal, namely polyphosphate-accumulating organisms (PAO) and denitrifying PAO (DPAO), and their operational performance and microbial community were together investigated in the hope of assessment of the effectiveness of the EBPR process at low temperature by combining chemical analysis and microbial community structure evolution based on polymerase chain reaction-denaturing gradient gel electrophoresis. When two reactors reached the steady state after 40 and 80 days for the anaerobic-aerobic (AO) and anaerobic-anoxic (AA) reactor operation in AO and AA modes, respectively, a good ability of anaerobic phosphorus release and aerobic or anoxic phosphorus uptake was present both in these two reactors. During this start-up process, a total of 22 bands were detected in seed, AA and AO sludge samples, including Alpha-, Beta-, Gamma- and Deltaproteobacteria, as well as Chlorobi, Firmicutes, Bacteroidetes and Actinobacteria. Of all the bands, only four bands were present in all the lanes, suggesting that shift in microbial community occurred greatly depending on the electron acceptors in this study. From evolutionary tree, it was found that microorganisms related to DPAO mostly belong to the phylum Betaproteobacteria, while microbes corresponding to PAO were present in several phyla. Overall, the new strategy proposed here was shown to be feasible for the enrichment of PAO and DPAO at low temperature, and may be regarded as a new guidance for the application of EBPR technology to practice, especially in winter.

Surprising abundance of Gallionella-related iron oxidizers in creek sediments at pH 4.4 or at high heavy metal concentrations

We identified and quantified abundant iron-oxidizing bacteria (FeOB) at three iron-rich, metal-contaminated creek sites with increasing sediment pH from extremely acidic (R1, pH 2.7), to moderately acidic (R2, pH 4.4), to slightly acidic (R3, pH 6.3) in a former uranium-mining district. The geochemical parameters showed little variations over the 1.5 year study period. The highest metal concentrations found in creek sediments always coincided with the lowest metal concentrations in creek water at the slightly acidic site R3. Sequential extractions of R3 sediment revealed large portions of heavy metals (Ni, Cu, Zn, Pb, U) bound to the iron oxide fraction. Light microscopy of glass slides exposed in creeks detected twisted stalks characteristic of microaerobic FeOB of the family Gallionellaceae at R3 but also at the acidic site R2. Sequences related to FeOB such as Gallionella ferruginea, Sideroxydans sp. CL21, Ferritrophicum radicicola, and Acidovorax sp. BrG1 were identified in the sediments. The highest fraction of clone sequences similar to the acidophilic "Ferrovum myxofaciens" was detected in R1. Quantitative PCR using primer sets specific for Gallionella spp., Sideroxydans spp., and "Ferrovum myxofaciens" revealed that ~72% (R2 sediment) and 37% (R3 sediment) of total bacterial 16S rRNA gene copies could be assigned to groups of FeOB with dominance of microaerobic Gallionella spp. at both sites. Gallionella spp. had similar and very high absolute and relative gene copy numbers in both sediment communities. Thus, Gallionella-like organisms appear to exhibit a greater acid and metal tolerance than shown before. Microaerobic FeOB from R3 creek sediment enriched in newly developed metal gradient tubes tolerated metal concentrations of 35 mM Co, 24 mM Ni, and 1.3 mM Cd, higher than those in sediments. Our results will extend the limited knowledge of FeOB at contaminated, moderately to slightly acidic environments.

The choice of PCR primers has great impact on assessments of bacterial community diversity and dynamics in a wastewater treatment plant

Assessments of bacterial community diversity and dynamics are fundamental for the understanding of microbial ecology as well as biotechnological applications. We show that the choice of PCR primers has great impact on the results of analyses of diversity and dynamics using gene libraries and DNA fingerprinting. Two universal primer pairs targeting the 16S rRNA gene, 27F&1492R and 63F&M1387R, were compared and evaluated by analyzing the bacterial community in the activated sludge of a large-scale wastewater treatment plant. The two primer pairs targeted distinct parts of the bacterial community, none encompassing the other, both with similar richness. Had only one primer pair been used, very different conclusions had been drawn regarding dominant phylogenetic and putative functional groups. With 27F&1492R, Betaproteobacteria would have been determined to be the dominating taxa while 63F&M1387R would have described Alphaproteobacteria as the most common taxa. Microscopy and fluorescence in situ hybridization analysis showed that both Alphaproteobacteria and Betaproteobacteria were abundant in the activated sludge, confirming that the two primer pairs target two different fractions of the bacterial community. Furthermore, terminal restriction fragment polymorphism analyses of a series of four activated sludge samples showed that the two primer pairs would have resulted in different conclusions about community stability and the factors contributing to changes in community composition. In conclusion, different PCR primer pairs, although considered universal, target different ranges of bacteria and will thus show the diversity and dynamics of different fractions of the bacterial community in the analyzed sample. We also show that while a database search can serve as an indicator of how universal a primer pair is, an experimental assessment is necessary to evaluate the suitability for a specific environmental sample.

Biodegradation of a mixture of mononitrophenols in a packed-bed aerobic reactor

Aerobic biodegradation of individual mononitrophenols (4-, 3- and 2-NPs) and their mixture in simulated wastewater was investigated in a packed-bed bench scale bioreactor continuously operated in a flow mode, with a mixed microbial culture adsorbed on expanded slate. Under a low, suboptimal hydraulic retention time (HRT) of 30 min the reactor removed more than 3 g.L(-1).day(-1) of the NP mixture while maintaining a > 85-90% removal efficiency (RE). Under higher HRT values, starting at 45 min, more than 2 g.L(-1).day(-1) of the NP mixture were removed with an RE > 98%. Significant substrate interactions were observed; the addition of other NPs caused the saturation of 2-NP catabolic capacity whereas the addition of 2-NP caused the de-saturation of the 4- and 3-NP catabolic capacity. 3- and 4-NPs appeared to be removed independently, i.e., by different enzyme systems. After ten months of operation, the biofilm composition was significantly altered to become predominantly bacterial. Only one originally inoculated strain remained indicating microbial contamination followed by a genetic material exchange.

Pollutant interactions during the biodegradation of phenolic mixtures with either 2- or 3-mononitrophenol in a continuously operated packed bed reactor

Pollutant interactions during the aerobic biodegradation of phenolic mixtures with either 2-nitrophenol (2-NP) or 3-nitrophenol (3-NP) by a NP-adapted microbial consortium in simulated wastewater were studied in a packed-bed bench scale bioreactor continuously operated in a flow mode. Phenol/2-NP and phenol/3-NP mixtures with varied phenol/nitrophenol ratios were shown to exhibit different biodegradability patterns. The presence of 2-NP led to a much lower overall elimination capacity and lower process stability in comparison to mixtures with 3-NP. In contrast to the expected greater degradation of a more biodegradable substrate in mixtures, phenol was degraded with a lower efficiency at higher phenol concentrations than NPs, although this difference became less pronounced with the gradual biofilm adaptation to phenol. This unusual substrate interaction, which appears to be common in the biotreatment of substituted phenol mixtures, was explained by prior biofilm adaptation to less degradable substrates, NPs. The biofilm composition was significantly altered during the long-term reactor operation. Although eukaryotes were not present in the inoculum, four fungal species were isolated from the biofilm after 1.5 years of operation. Of the initially present strains, only Chryseobacterium sp. and several Pseudomonas species persisted till the end of operation.