Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Drinking water metagenome

ABSTRACT: Metagenomic analysis of drinking water samples

PROVIDER: PRJDB17091 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	DRR515008_1.fastq.gz	Fastqsanger.gz
	DRR515008_2.fastq.gz	Fastqsanger.gz
	DRR515009_1.fastq.gz	Fastqsanger.gz
	DRR515009_2.fastq.gz	Fastqsanger.gz
	DRR515010_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 56

Similar Datasets

Expression data from mice liver drinking Hydrogen water

Project description:Liver RNA samples from C57BL6 mice drinking Hydrogen water for 4 weeks We used microarrays to detail the gene expression after drinking hydrogen water.

2017-09-19 | GSE103941 | GEO

drinking water metagenome

Project description:Genome sequencing project for drinking water samples

| PRJDB11193 | ENA

Chloraminated drinking water

Project description:Chloraminated drinking water Metagenomic assembly

| PRJNA590844 | ENA

drinking water metagenome

Project description:Drinking water metagenome

| PRJNA718649 | ENA

drinking water metagenome

Project description:Drinking Water Microbiome

| PRJNA575040 | ENA

Characterization of the Bacterial Diversity of Drinking Water From 3 Parisian Treatment Plants Using Genomic Approaches

Project description:We characterized the bacterial diversity of chlorinated drinking water from three surface water treatment plants supplying the city of Paris, France. For this purpose, we used serial analysis of V6 ribosomal sequence tag (SARST-V6) to produce concatemers of PCR-amplified ribosomal sequence tags (RSTs) from the V6 hypervariable region of the 16S rRNA gene for sequence analysis. Using SARST-V6, we obtained bacterial profiles for each drinking water sample, demonstrating a strikingly high degree of biodiversity dominated by a large collection of low-abundance phylotypes. In all water samples, between 57.2-77.4% of the sequences obtained indicated bacteria belonging to the Proteobacteria phylum. Full-length 16S rDNA sequences were also generated for each sample, and comparison of the RSTs with these sequences confirmed the accurate assignment for several abundant bacterial phyla identified by SARST-V6 analysis, including members of unclassified bacteria, which account for 6.3-36.5% of all V6 sequences. These results suggest that these bacteria may correspond to a common group adapted to drinking water systems. The V6 primers used were subsequently evaluated with a computer algorithm to assess their hybridization efficiency. Potential errors associated with primer-template mismatches and their impacts on taxonomic group detection were investigated. The biodiversity present in all three drinking water samples suggests that the bacterial load of the drinking water leaving treatment plants may play an important role in determining the downstream community dynamics of water distribution networks.

2009-01-08 | GSE14318 | GEO

drinking water metagenome

Project description:drinking water metagenome Genome sequencing

| PRJNA655233 | ENA

drinking water metagenome

Project description:drinking water metagenome Raw sequence reads

| PRJNA867521 | ENA

drinking water metagenome

Project description:drinking water metagenome Raw sequence reads

| PRJNA854261 | ENA

drinking water metagenome

Project description:Metagenomic profiling of ammonia and methane-oxidizing microorganisms in a Dutch drinking water treatment plant