Biofilm metagenome
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REPOSITORIES: ENA
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Project description:Sludge and biofilm in pig manure treating membrane bioreactor
| PRJDB5721 | ENA
Project description:We reported the microbial communities in wastewater between conventional membrane bioreactor (MBR) system and biofilm MBR system using Illumina sequencing.
2019-08-14 | GSE135797 | GEO
Project description:Membrane bioreactor (MBR) systems are typically known different from conventional activated sludge (CAS) systems in operational parameters, while current knowledge of their microbial differentiations is barely sufficient. To this end, the current study was launched to address the differences of the overall functional genes of an oxidation ditch (OD) and an MBR running parallelly at full-scale using a functional gene array-GeoChip 4.2. Two full-scale wastewater treatment systems applying the processes of oxidation ditch (OD) and membrane bioreactor (MBR) were investigated. They treated identical wastewater at the same scale. 12 mixed-liquor suspended sludge (MLSS) samples collected daily on 12 consecutive days from each system were analyzed by GeoChip 4.2.
2016-03-01 | E-GEOD-67307 | biostudies-arrayexpress
Project description:Wastewater treatment plants use a variety of bioreactor types and configurations to remove organic matter and nutrients. Little is known regarding the effects of different configurations and within-plant immigration on microbial community dynamics. Previously, we found that the structure of ammonia-oxidizing bacterial (AOB) communities in a full-scale dispersed growth activated sludge bioreactor correlated strongly with levels of NO2- entering the reactor from an upstream trickling filter (Wells et al 2009). Here, to further examine this puzzling association, we profile within-plant microbial biogeography (spatial variation) and test the hypothesis that substantial microbial immigration occurs along a transect (raw influent, trickling filter biofilm, trickling filter effluent, and activated sludge) at the same full-scale wastewater treatment plant. AOB amoA gene abundance increased >30-fold between influent and trickling filter effluent concomitant with NO2- production, indicating unexpected growth and activity of AOB within the trickling filter. Nitrosomonas europaea was the dominant AOB phylotype in trickling filter biofilm and effluent, while a distinct ‘Nitrosomonas-like’ lineage dominated in activated sludge. Prior time series indicated that this ‘Nitrosomonas-like’ lineage was dominant when NO2- levels in the trickling filter effluent (i.e., activated sludge influent) were low, while N. europaea became dominant in the activated sludge when NO2- levels were high. This is consistent with the hypothesis that NO2- production may co-occur with biofilm sloughing, releasing N. europaea from the trickling filter into the activated sludge bioreactor. Phylogenetic microarray (PhyloChip) analyses revealed significant spatial variation in taxonomic diversity, including a large excess of methanogens in the trickling filter relative to activated sludge and attenuation of Enterobacteriaceae across the transect, and demonstrated transport of a highly diverse microbial community via the trickling filter effluent to the activated sludge bioreactor. Our results provide compelling evidence that substantial immigration between coupled process units occurs and may exert significant influence over microbial community dynamics within staged bioreactors.
2015-11-03 | GSE52079 | GEO
Project description:Improving anaerobic membrane bioreactor treatment of wastewater through membrane biofilm development
| PRJNA280217 | ENA
Project description:Microbiomes in reverse osmosis membrane system treating effluent of membrane bioreactor
| PRJDB6588 | ENA
Project description:Activated sludges and biofilm in membrane bioreactor
| PRJDB4857 | ENA
Project description:Anaerobic membrane bioreactor sludge treating municipal wastewater raw sequencing
| PRJNA505823 | ENA
Project description:Effect of chlorination on the toxicity of wastewater effluents treated by activated sludge (AS) and submerged membrane bioreactor (S-MBRB) systems to HepG2 human hepatoblastoma cells was investigated. In addition to cytotoxicity assay, the DNA microarray-based transcriptome analysis was performed to evaluate the change in modes of toxic actions (MOAs) of effluents by chlorination. Effluent organic matters (EfOM) and disinfection by-products (DBPs) were characterized by using Fourier transform mass spectrometry (FT-MS). The cytotoxicity of AS effluent was elevated by chlorination, while the toxicity of S-MBRB effluent was reduced. The averaged O/C ratio of EfOM in S-MBRB effluent was lower than that in AS effluent. The results of the transcriptome and FT-MS analyses suggested that lower O/C molecules influenced on M-bM-^@M-^\response to hormone stimulusM-bM-^@M-^] and M-bM-^@M-^\acute inflammatory responseM-bM-^@M-^] but those were decreased by chlorination, which consequently reduced cytotoxicity. On the other hand, larger number of DBPs and other molecules were increased in AS effluents by chlorination. Those molecules might influence on M-bM-^@M-^\cellular metabolic processM-bM-^@M-^], which consequently elevated cytotoxicity. Therefore, the combination of the toxicity assays and chemical analysis demonstrated the changes in severity of cytotoxicity and MOAs by chlorination, and the difference of chemical characteristics which relate to those toxicity changes. We examined the gene expression alteration in human hepatoma cell line, HepG2 exposed to the chlorinated wastewater effluents from membrane bioreactor and the activated sludge process. Human Genome Focus Array, which represents 8,795 verified human sequences, was used. All effluent samples were concentrated by using solid phase extraction (SPE). SPE fraction from MQ water was used as controll. For duplicate, two dishes were prepared for each sample and individually treated in parallel.
2013-06-21 | E-GEOD-48157 | biostudies-arrayexpress
Project description:Improving anaerobic membrane bioreactor treatment of wastewater through membrane biofilm development
| PRJNA279974 | ENA