Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Bacterial community structure in Nakdong River, Korea

PROVIDER: PRJNA479553 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR7472470_1.fastq.gz	Fastqsanger.gz
	SRR7472470_2.fastq.gz	Fastqsanger.gz
	SRR7472480_1.fastq.gz	Fastqsanger.gz
	SRR7472480_2.fastq.gz	Fastqsanger.gz
	SRR7472490_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 138

Similar Datasets

Project description:Metagenomic analysis of Nakdong River in Korea

| PRJNA485659 | ENA

Study of microbial functional structure in Xiangjiang River sediment

Project description:Xiangjiang River (Hunan, China) has been contaminated with heavy metal for several decades by surrounding factories. However, little is known about the influence of a gradient of heavy metal contamination on the diversity, structure of microbial functional gene in sediment. To deeply understand the impact of heavy metal contamination on microbial community, a comprehensive functional gene array (GeoChip 5.0) has been used to study the functional genes structure, composition, diversity and metabolic potential of microbial community from three heavy metal polluted sites of Xiangjiang River.

2016-08-02 | GSE85064 | GEO

Study of microbial functional structure in Xiangjiang River sediment

2016-08-02 | E-GEOD-85064 | biostudies-arrayexpress

Project description:Bacterial community structure of Dayang River

| PRJNA940681 | ENA

Project description:Diversity of Eukaryotic Plankton in Brackish Water from Nakdong River in Korea

| PRJNA1073292 | ENA

Diversity of Eukaryotic Plankton in Brackish Water from Nakdong River in Korea

Project description:Diversity of Eukaryotic Plankton in Brackish Water from Nakdong River in Korea Metagenome

| PRJNA1074130 | ENA

Project description:Temporal shifts of cyanobacterial communities at different sites of Nakdong River in Korea

| PRJEB1603 | ENA

Diversity of Eukaryotic Plankton in Brackish Water from Nakdong River in Korea

Project description:Diversity of Eukaryotic Plankton in Brackish Water from Nakdong River in Korea Metagenome

| PRJNA1073281 | ENA

C. elegans genomic response to Konza Prairie Soil bacterial environment

Project description:Here we have compared adult wildtype (N2) C. elegans gene expression when grown on different bacterial environments/fod sources in an effort to model naturally occuring nematode-bacteria interactions at the Konza Prairie. We hypothesize that human-induced changes to natural environments, such as the addition of nitrogen fertalizer, have effects on the bacterial community in soils and this drives downstream changes in the structure on soil bacterial-feeding nematode community structure. Here we have used transcriptional profiling to identify candidate genes involved in the interaction of nematodes and bacteria in nature.

2009-05-02 | GSE15923 | GEO

Application of BiodegPhyloChip for expression profiling of functional genes from diverse contaminated habitats

Project description:Understanding the bacterial community structure, and their functional analysis for active bioremediation process is essential to design better and cost effective strategies. Microarray analysis enables us to simultaneously study the functional and phylogenetic markers of hundreds of microorganisms which are involved in active bioremediation process in an environment. We have previously described development of a hybrid 60-mer multibacterial microarray platform (BiodegPhyloChip) for profiling the bacterial communities and functional genes simultaneously in environments undergoing active bioremediation process (Pathak et al; Appl Microbiol Biotechnol,Vol. 90, 1739-1754). The present study involved profiling the status of bacterial communities and functional (biodegradation) genes using the developed 60-mer oligonucleotide microarray BiodegPhyloChip at five contaminated hotspots in the state of Gujarat, in western India. The expression pattern of functional genes (coding for key enzymes in active bioremediation process) at these sites was studied to understand the dynamics of biodegradation in the presence of diverse group of chemicals. The results indicated that the nature of pollutants and their abundance greatly influence the structure of bacterial communities and the extent of expression of genes involved in various biodegradation pathways. In addition, site specific factors also play a pivotal role to affect the microbial community structure as was evident from results of 16S rRNA gene profiling of the five contaminated sites, where the community structure varied from one site to another drastically.

2012-12-01 | GSE38004 | GEO

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