Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1102917 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR28760300_1.fastq.gz | Fastqsanger.gz | |||
| SRR28760300_2.fastq.gz | Fastqsanger.gz | |||
| SRR28760301_1.fastq.gz | Fastqsanger.gz | |||
| SRR28760301_2.fastq.gz | Fastqsanger.gz | |||
| SRR28760302_1.fastq.gz | Fastqsanger.gz |
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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.
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Project description:Purpose: We use the ribosome profiling protocol to understand why EF4 confers resistance to tellurite and how tellurite affects ribosome. Methods: We used ribosome profiling and transcriptomic data to analyze mainly by plastid software. The ribosome were purified by sucrose gradient separation. Results: Using polysome profile and sequencing data, we found that tellurite disables the ribosome subunits to form a functional 70S ribosome and reduces the ribosome density after tellurite exposure. We also found that tellurite influences the ribosome reaching to stop codon. Tellurite shortened the ribosome protected fragment, this process was mediated by EF4. EF4 mediated more gene expression including these known tellurite resistance genes to confer tellurite resistance. Tellurite also induced many differential gene expression. Conclusions: Tellurite exerts its toxicity on ribosome by disabling 70S ribosome formation, reaching to stop codon, and inducing differential gene expression.
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Project description:To understand microbial community functional structures of activated sludge in wastewater treatment plants (WWTPs) and the effects of environmental factors on their structure, 12 activated sludge samples were collected from four WWTPs in Beijing. GeoChip 4.2 was used to determine the microbial functional genes involved in a variety of biogeochemical processes. The results showed that, for each gene category, such as egl, amyA, nir, ppx, dsrA sox and benAB, there were a number of microorganisms shared by all 12 samples, suggestive of the presence of a core microbial community in the activated sludge of four WWTPs. Variance partitioning analyses (VPA) showed that a total of 53% of microbial community variation can be explained by wastewater characteristics (25%) and operational parameters (23%), respectively. 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.
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Project description:Transcriptional profiling comparing Escherichia coli simultaneously exposed to tellurite and CTX with untreated control cells; Tellurite with control; CTX with control Three-condition experiment, antibacterial (tellurite; CTX or tellurite/CTX) vs. Untreated control cells. Biological replicates: 3 control, 3 toxicants exposed cells, independently grown and harvested. One replicate per array.
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Project description:To understand microbial community functional structures of activated sludge in wastewater treatment plants (WWTPs) and the effects of environmental factors on their structure, 12 activated sludge samples were collected from four WWTPs in Beijing. GeoChip 4.2 was used to determine the microbial functional genes involved in a variety of biogeochemical processes. The results showed that, for each gene category, such as egl, amyA, nir, ppx, dsrA sox and benAB, there were a number of microorganisms shared by all 12 samples, suggestive of the presence of a core microbial community in the activated sludge of four WWTPs. Variance partitioning analyses (VPA) showed that a total of 53% of microbial community variation can be explained by wastewater characteristics (25%) and operational parameters (23%), respectively. 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. Four full-scale wastewater treatment systems located in Beijing were investigated. Triplicate samples were collected in each site.
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