Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Freshwater metagenome

ABSTRACT: Bacterial source tracking using Bacteroidetes 16S rDNA isolated from environmental samples

PROVIDER: PRJNA260062 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR1564100.fastq.gz	Fastqsanger.gz
	SRR1564101.fastq.gz	Fastqsanger.gz
	SRR1564111.fastq.gz	Fastqsanger.gz
	SRR1564102.fastq.gz	Fastqsanger.gz
	SRR1564112.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 21

Similar Datasets

Bacteroidetes MST

Project description:Bacteroidetes pyrosequencing for microbial source tracking (MST)

| PRJEB2468 | ENA

Bacteria from avian fecal samples

Project description:16S sequences from avian fecal samples for MST (Microbial Source Tracking)

| PRJNA300726 | ENA

Possible role of environmental microbiome on B-cell bronchiolitis-alveolar ductitis and emphysema in metal machining workers

Project description:Here we report 16s rRNA data from environmental samples that include metal working fluid and air from a machine facility and lung tissue samples. Microbiota composition of environmental and lung tissue samples showed greater similarity between case samples than between control samples.

2020-09-18 | GSE87406 | GEO

Project description:Microbial source tracking based on 16S rRNA gene sequencing

| PRJNA713417 | ENA

Genetic and Epigenetic Variation, but Not Diet, Shape the Sperm Methylome

Project description:The diet consumed by fathers prior to procreation impacts metabolic phenotypes in their offspring, but the mechanisms underlying such intergenerational information transfer remain obscure. Here, we carried out extensive analysis of cytosine methylation patterns in murine sperm, generating whole genome methylation maps for 4 pools of sperm samples and for 12 individual sperm samples, as well as 61 genome-scale reduced-representation bisulfite sequencing (RRBS) methylation maps, using samples obtained from male mice consuming various diets. We found that epivariation, either stochastic or due to unknown demographic or environmental factors, was a far stronger contributor to the sperm methylome than was the diet consumed. Variation in cytosine methylation was particularly dramatic over tandem repeat families, including ribosomal DNA (rDNA) repeats, and rDNA methylation levels were heritable from one generation to the next. However, rDNA methylation was strongly correlated with genetic variation in rDNA copy number, and analysis of hundreds of sperm samples revealed no consistent effect of diet on rDNA copy number or methylation level in sperm, indicating that paternal diet exerts an rDNA methylation-independent effect on offspring gene expression. These results reveal loci of genetic and epigenetic lability in the mammalian genome, but strongly argue against a direct mechanistic role for sperm cytosine methylation in dietary reprogramming of offspring metabolism.

2015-12-17 | GSE75323 | GEO

Mouse caecum vs faeces - Metaproteogenomics Reveals Taxonomic and Functional Changes between Cecal and Fecal Microbiota in Mouse

Project description:We compared the microbiota of paired mouse caecal contents and faeces by applying a multi-omic approach, including 16S rDNA sequencing, shotgun metagenomics, and shotgun metaproteomics. The aim of the study was to verify whether faecal samples are a reliable proxy for the mouse colonic luminal microbiota, as well as to identify changes in taxonomy and functional activity between caecal and faecal microbial communities, which have to be carefully considered when using stool as sample for mouse gut microbiota investigations.

2017-03-31 | PXD004911 | Pride

freshwater metagenome

Project description:Environmental samples from Yellowstone Lake

| PRJNA60433 | ENA

ceae09f4-f021-444d-b025-bee14880fa30 - samples

Project description:16S rDNA amplicon sequencing of 196 human fecal samples of an Inulin cross-over trial in healthy, mildly constipated individuals.

| EGAD00001004956 | EGA

Gut microbiota analysis associated with autism spectrum disorders [16S rRNA]

Project description:Here we report 16S rRNA data in gut microbiota of autism spectrum disorders compared with healthy volunteers. A total of 1322 operational taxonomic units (OTUs) were identified in the sequence data. The Bacteroidetes and Firmicutes were both dominated phylum in ausitic subjects and healthy controls. Phylum level analysis showed a clear alteration of the bacterial gut community in ASD characterized by a higher Firmicutes (P < 0.05), Proteobacteria (P < 0.001), and Actinobacteria (P < 0.001) than that in healthy controls. However, Bacteroidetes were significantly decreased in ASD patients (P < 0.001).

2020-09-30 | GSE113690 | GEO

sediment metagenome

Project description:16S sequencing of environmental samples to test the impact of sediment source

| PRJNA234104 | ENA