Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Wastewater metagenome

ABSTRACT: Inactivation Study

PROVIDER: PRJNA413686 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR6149310_1.fastq.gz	Fastqsanger.gz
	SRR6149310_2.fastq.gz	Fastqsanger.gz
	SRR6149320_1.fastq.gz	Fastqsanger.gz
	SRR6149320_2.fastq.gz	Fastqsanger.gz
	SRR6149330_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 108

Similar Datasets

wastewater metagenome

Project description:SEQ Decay Study

| PRJNA565777 | ENA

Metagenome-Assembled Genome Sequences from Different Wastewater Treatment Stages in Germany.

Project description:Metagenome-assembled genome sequences (MAGs) were generated from two wastewater treatment systems in two German cities (Göttingen and Greifswald), based on metagenomes derived from hospital effluent, different wastewater treatment stages, and adjacent water bodies. The MAGs mainly originated from bacterial members of Proteobacteria, Bacteroidota, Firmicutes, "Candidatus Patescibacteria," Actinobacteriota, Chloroflexota, Desulfobacterota, and Verrucomicrobiota.

| S-EPMC8265224 | biostudies-literature

wastewater metagenome

Project description:Geographic Sewage Study Targeted Locus (Loci)

| PRJNA189333 | ENA

Metagenome Sequences of a Wastewater Treatment Plant Digester Sludge-Derived Enrichment Culture.

Project description:We sequenced the metagenome of a microbial community enriched under strictly anaerobic conditions from wastewater treatment plant-derived digester sludge. The metagenomic analysis of the enrichment revealed that Acetobacterium and methanogenic archaea belonged to the dominant prokaryotes, and genes encoding components of the Wood-Ljungdahl pathway were identified.

| S-EPMC7409856 | biostudies-literature

Reducing inherent biases introduced during DNA viral metagenome analyses of municipal wastewater.

Project description:Metagenomics is a powerful tool for characterizing viral composition within environmental samples, but sample and molecular processing steps can bias the estimation of viral community structure. The objective of this study is to understand the inherent variability introduced when conducting viral metagenomic analyses of wastewater and provide a bioinformatic strategy to accurately analyze sequences for viral community analyses. A standard approach using a combination of ultrafiltration, membrane filtration, and DNase treatment, and multiple displacement amplification (MDA) produced DNA preparations without any bacterial derived genes. Results showed recoveries in wastewater matrix ranged between 60-100%. A bias towards small single stranded DNA (ssDNA; polyomavirus) virus types vs larger double stranded DNA (dsDNA; adenovirus) viruses was also observed with a total estimated recovery of small circular viruses to be as much as 173-fold higher. Notably, ssDNA abundance decreased with sample dilution while large dsDNA genomes (e.g., Caudovirales) initially increased in abundance with dilution before gradually decreasing with further dilution in wastewater samples. The present study revealed the inherent biases associated with different components of viral metagenomic methods applied to wastewater. Overall, these results provide a well-characterized approach for effectively conducting viral metagenomics analysis of wastewater and reveal that dilution can effectively mitigate MDA bias.

| S-EPMC5882159 | biostudies-literature

Metagenome analyses of corroded concrete wastewater pipe biofilms reveal a complex microbial system.

Project description:BackgroundConcrete corrosion of wastewater collection systems is a significant cause of deterioration and premature collapse. Failure to adequately address the deteriorating infrastructure networks threatens our environment, public health, and safety. Analysis of whole-metagenome pyrosequencing data and 16S rRNA gene clone libraries was used to determine microbial composition and functional genes associated with biomass harvested from crown (top) and invert (bottom) sections of a corroded wastewater pipe.ResultsTaxonomic and functional analysis demonstrated that approximately 90% of the total diversity was associated with the phyla Actinobacteria, Bacteroidetes, Firmicutes and Proteobacteria. The top (TP) and bottom pipe (BP) communities were different in composition, with some of the differences attributed to the abundance of sulfide-oxidizing and sulfate-reducing bacteria. Additionally, human fecal bacteria were more abundant in the BP communities. Among the functional categories, proteins involved in sulfur and nitrogen metabolism showed the most significant differences between biofilms. There was also an enrichment of genes associated with heavy metal resistance, virulence (protein secretion systems) and stress response in the TP biofilm, while a higher number of genes related to motility and chemotaxis were identified in the BP biofilm. Both biofilms contain a high number of genes associated with resistance to antibiotics and toxic compounds subsystems.ConclusionsThe function potential of wastewater biofilms was highly diverse with level of COG diversity similar to that described for soil. On the basis of the metagenomic data, some factors that may contribute to niche differentiation were pH, aerobic conditions and availability of substrate, such as nitrogen and sulfur. The results from this study will help us better understand the genetic network and functional capability of microbial members of wastewater concrete biofilms.

| S-EPMC3409016 | biostudies-literature

wastewater metagenome

Project description:Community-level human gut microbiome study in Oslo, Norway.

| PRJNA529982 | ENA

wastewater metagenome

Project description:Managed aquifer recharge - a column study to disclose processes in reactive barriers

| PRJNA662356 | ENA

Metagenome of the Microbial Community of Anammox Granules in a Nitritation/Anammox Wastewater Treatment System.

Project description:We sequenced the metagenome of a granular sludge in a nitritation/anammox bioreactor used for the treatment of ammonium-rich wastewater. Proteobacteria, Planctomycetes, Bacteroidetes, Chloroflexi, Ignavibacteriae, and Acidobacteria were the predominant phyla in the studied bioreactor. Binning of contigs yielded a near-complete genome of the dominant anammox bacterium assigned to the candidate genus Brocadia.

| S-EPMC5646403 | biostudies-literature

wastewater metagenome

Project description:Wastewater microbial communities from Netherlands to study Microbial Dark Matter (Phase II) - VDW unchlorinated drinking water metagenome

| PRJNA367361 | ENA

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data