Comparison of Ammonia-Oxidizing Bacterial Community Structure in Membrane-Assisted Bioreactors Using PCR-DGGE and FISH

Ziembińska, A.; Ciesielski, Sławomir; Gnida, Anna; Zabczyńki, S; Surmacz-Górska, Joanna; Miksch, K.

doi:10.4014/jmb.1201.01014

Cited by 5 publications

(3 citation statements)

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“…A combination of PCR-DGGE with FISH technique has been successfully applied to identify the most probable dominant microorganisms and quantify them in a mixture as well as various wastewater treatment processes. Ziembinska et al [12] characterized the ammonia-oxidizing bacterial community structure in a membrane bioreactor by using PCR-DGGE and FISH, and similar research was reported by Moura et al [13].…”

Section: Introductionmentioning

confidence: 61%

Characterization of Denitrifying Phosphorus Removal Microorganisms in a Novel Two-Sludge Process by Combining Chemical with Microbial Analysis

Lü

Abualhail

2014

Journal of Chemistry

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The present work focuses on the investigation of denitrifying phosphorus removal organisms (DPB) in a novel two-sludge denitrifying phosphorus removal process by combining chemical with microbial analysis. When the two-sludge process operated stably over one year, good phosphorus (P) release and P uptake performance of activated sludge samples collected from this process were present in anaerobic and anoxic conditions, respectively, via batch test, showing that the ratio of P release specific rate to P uptake specific rate was 1.31. The analysis of energy dispersive spectrometry (EDS) showed that P content of activated sludge samples collected at the end of anoxic phase was 12.3% of dry weight, further demonstrating the existence of microorganisms responsible for phosphorus removal in this two-sludge process. From polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) analysis, the presence of microorganisms mostly belonging to the phyla Firmicutes and Proteobacteria was observed, previously evidenced in the phosphorus removal wastewater treatment process. Fluorescence in situ hybridization (FISH) quantitative analysis showed thatAccumulibacterresponsible for phosphorus removal was dominant in this two-sludge process, accounting for 69.7% of all bacteria in activated sludge. These results obtained from chemical and microbial analysis in this study suggested that denitrifying phosphorus removal microorganisms were completely enriched in the two-sludge process proposed here.

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Section: Introductionmentioning

confidence: 61%

Characterization of Denitrifying Phosphorus Removal Microorganisms in a Novel Two-Sludge Process by Combining Chemical with Microbial Analysis

Lü

Abualhail

2014

Journal of Chemistry

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“…The introduction of culture-independent approaches in the late 20th century has helped reveal many important microbial lineages associated with BNR. Culture-independent techniques that are used in microbial ecology studies of BNR microbial communities include 16S rRNA gene amplicon sequencing [17], fluorescent in situ hybridization (FISH) [18], quantitative polymerase chain reaction (qPCR) [19], shotgun metagenomics [20], metagenome-assembled genomes [21] and multi-omics approaches [22].…”

Section: Introductionmentioning

confidence: 99%

Biological Nitrogen Removal Database: A Manually Curated Data Resource

2022

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Biological nitrogen removal (BNR) technologies are the most effective approaches for the remediation of environmental nitrogen pollutants from wastewater treatment plants (WWTPs). Presently, research is going on to elucidate the structure and function of BNR microbial communities and optimizing BNR treatment systems to enhance nitrogen removal efficiency. The literature on BNR microbial communities and experimental datasets is not unified across various repositories, while a uniform resource for the collection, annotation, and structuring of these BNR datasets is still unavailable. Herein, we present the Biological Nitrogen Removal Database (BNRdb), an integrated resource containing various manually curated BNR-related data. At present, BNRdb contains 23308 microbial strains, 46 gene families, 24 enzymes, 18 reactions, 301 BNR treatment datasets, 860 BNR-associated next-generation sequencing datasets, and 6 common BNR bioreactor systems. BNRdb provides a user-friendly interface enabling interactive data browsing. To our knowledge, BNRdb is the first BNR data resource that systematically integrates BNR data from archaeal, bacterial, and fungal communities. We believe that BNRdb will contribute to a better understanding of BNR process and nitrogen bioremediation research.

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“…With the PCR-DGGE technique, Xia et al (2010) investigated the effect of organic loading on the bacterial community composition of membrane biofilms in a submerged polyvinyl chloride MBR. Ziembinska et al (2012) monitored the ammonia-oxidizing bacterial (AOB) communities in three MBRs for two months, and found that landfill leachate can be effectively treated in an MBR with a higher sludge age for longer periods of time, and that this improvement in performance was correlated with an increase in AOB biodiversity. Tan et al (2015) reported that the bacterial community in an MBR showed robust performance over ZnO nanoparticles exposure.…”

Section: Introductionmentioning

confidence: 99%

Membrane fouling behavior and microbial community succession in a submerged membrane bioreactor treating harbor oily wastewater

Wei

2016

J. Zhejiang Univ. Sci. A

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Abstract:A membrane bioreactor (MBR) was established for treating harbor oily wastewater. It showed good removal performance for chemical oxygen demand (COD), oil content, suspended solids (SS), and other pollutants. However, serious membrane fouling occurred. It was recognized that the extracellular polymeric substances (EPS) accumulated on the membrane surface, especially the proteins, were of great importance for the transmembrane pressure (TMP) increment and membrane fouling. The MBR was optimized via improving aeration rate and reducing the ratio of A r /A d (A r and A d are the cross-sectional areas of the riser and the downcomer of the MBR). The increasing rate of TMP was slowed, indicating that the optimization strategy could effectively mitigate membrane fouling. Microbial community evolution was monitored and analyzed by polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE), cloning, and sequencing of 16S ribosomal ribonucleic acid (rRNA) fragments. Results revealed that low community shift occurred during the whole operational period. Geobacter sp. and Rhodocyclales sp., which have also been identified by other studies in a petroleum refinery wastewater MBR or an infiltration basin receiving highway runoff, dominated in the MBR system throughout. Comamonas sp. was thought to accommodate the lower aeration rate in this study, while Rhodocyclales sp. preferred the higher aeration rate. In addition, during the operational time under high organic loading rate, a few species were present in abundance, and may have been responsible for the good removal performance at this time.

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Comparison of Ammonia-Oxidizing Bacterial Community Structure in Membrane-Assisted Bioreactors Using PCR-DGGE and FISH

Cited by 5 publications

References 0 publications

Characterization of Denitrifying Phosphorus Removal Microorganisms in a Novel Two-Sludge Process by Combining Chemical with Microbial Analysis

Characterization of Denitrifying Phosphorus Removal Microorganisms in a Novel Two-Sludge Process by Combining Chemical with Microbial Analysis

Biological Nitrogen Removal Database: A Manually Curated Data Resource

Membrane fouling behavior and microbial community succession in a submerged membrane bioreactor treating harbor oily wastewater

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