Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Freshwater metagenome

ABSTRACT: Microbial diversity and microcystin levels in pond water sources of Knox County

PROVIDER: PRJNA362201 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR5233680.fastq.gz	Fastqsanger.gz
	SRR5233690.fastq.gz	Fastqsanger.gz
	SRR5233700.fastq.gz	Fastqsanger.gz
	SRR5233710.fastq.gz	Fastqsanger.gz
	SRR5233681.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 42

Similar Datasets

Pseudomonas aeruginosa response to potable (tap) water and freshwater from a pond

Project description:Pseudomonas aeruginosa is a common bacterium in the terminal plumbing system of buildings and it is from this niche that a substantial fraction of infections are acquired. To better understand P. aeruginosa biology in this environment, we examined the transcriptomes in tap water and pond water.

2017-10-24 | GSE104819 | GEO

aquatic metagenome

Project description:microbial diversity on pond water

| PRJNA306091 | ENA

freshwater metagenome

Project description:Microbial community of various water sources in Kathmandu Valley

| PRJDB5406 | ENA

freshwater metagenome

Project description:Microbial community of various types of water sources in Kathmandu Valley

| PRJDB6602 | ENA

freshwater metagenome

Project description:microbial eukaryotes diversity of antarctic lake water

| PRJNA260331 | ENA

freshwater metagenome

Project description:microbial diversity of drinking water treatment system

| PRJNA379041 | ENA

freshwater sediment metagenome

Project description:Pond water and sediment metagenome

| PRJNA396976 | ENA

freshwater metagenome

Project description:metagenome of natural water from Jiashan county

| PRJNA1051013 | ENA

A metagenomic study revealing unexpectedly diverse functional groups in microbial communities of deep-ground oil

2016-04-01 | GSE55293 | GEO

A metagenomic study revealing unexpectedly diverse functional groups in microbial communities of deep-ground oil

Project description:Samples of oil and production water were collected from five wells of the Qinghai Oilfield, China, and subjected to GeoChip hybridization experiments for microbial functional diversity profiling. Unexpectedly, a remarkable microbial diversity in oil samples, which was higher than that in the corresponding water samples, was observed, thus challenging previously believed assumptions about the microbial diversity in this ecosystem. Hierarchical clustering separated oil and water samples, thereby indicating distinct functional structures in the samples. Genes involved in the degradation of hydrocarbons, organic remediation, stress response, and carbon cycling were significantly abundant in crude oil, which is consistent with their important roles in residing in oil. Association analysis with environmental variables suggested that oil components comprising aromatic hydrocarbons, aliphatic hydrocarbons, and a polar fraction with nitrogen-, sulfur-, and oxygen-containing compounds were mainly influential on the structure of the microbial community. Furthermore, a comparison of microbial communities in oil samples indicated that the structures were depth/temperature-dependent. To our knowledge, this is the first thorough study to profile microbial functional diversity in crude oil samples. From the Qinghai Oilfield located in the Tibetan Plateau, northwest China, oil production mixtures were taken from four oil production wells (No. 813, 516, 48 and 27) and one injection well (No. 517) in the Yue-II block. The floating oil and water phases of the production mixtures were separated overnight by gravitational separation. Subsequently, the microbial community and the characteristics of the water solution (W813, W516, W48, and W27) and floating crude oil (O813, O516, O48, and O27) samples were analyzed. A similar analysis was performed with the injection water solution (W517).

2016-04-01 | E-GEOD-55293 | biostudies-arrayexpress

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