Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Sediment metagenome

ABSTRACT: Microbial ecology of archaeal community in sediment from adjacent waters of Rushan Bay

PROVIDER: PRJNA317987 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR3355070_1.fastq.gz	Fastqsanger.gz
	SRR3355070_2.fastq.gz	Fastqsanger.gz
	SRR3355080_1.fastq.gz	Fastqsanger.gz
	SRR3355080_2.fastq.gz	Fastqsanger.gz
	SRR3355072_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 14

Similar Datasets

sediment metagenome

Project description:Microbial ecology of bacteiral community in sediment from adjacent waters of Rushan Bay

| PRJNA317953 | ENA

sediment metagenome

Project description:Microbial ecology of AOB community in sediment from adjacent waters of Rushan Bay

| PRJNA318080 | ENA

sediment metagenome

Project description:Microbial ecology of AOA community in sediment from adjacent waters of Rushan Bay

| PRJNA318081 | 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

Microbial community composition in sediments resists perturbation by nutrient enrichment

Project description:Functional redundancy in bacterial communities is expected to allow microbial assemblages to survive perturbation by allowing continuity in function despite compositional changes in communities. Recent evidence suggests, however, that microbial communities change both composition and function as a result of disturbance. We present evidence for a third response: resistance. We examined microbial community response to perturbation caused by nutrient enrichment in salt marsh sediments using deep pyrosequencing of 16S rRNA and functional gene microarrays targeting the nirS gene. Composition of the microbial community, as demonstrated by both genes, was unaffected by significant variations in external nutrient supply, despite demonstrable and diverse nutrient–induced changes in many aspects of marsh ecology. The lack of response to external forcing demonstrates a remarkable uncoupling between microbial composition and ecosystem-level biogeochemical processes and suggests that sediment microbial communities are able to resist some forms of perturbation.

2010-11-13 | GSE25227 | GEO

Microbial community composition in sediments resists perturbation by nutrient enrichment

2010-11-13 | E-GEOD-25227 | biostudies-arrayexpress

Transcriptome-stable isotope probing provides targeted functional and taxonomic insights into hypoxic pollutant-degrading aquifer microbiota

Project description:We investigated a contaminant-degrading microbial community by sequencing total RNA (without rRNA depletion) from microcosms containing sediment from a hypoxic contaminated aquifer fed with isotopically labeled toluene.

2018-09-07 | GSE119644 | GEO

Community composition of ammonia-oxidizing archaea from surface and anoxic depths of oceanic oxygen minimum zones

Project description:Ammonia-oxidizing archaea (AOA) have been reported at high abundance in much of the global ocean, even in environments such as pelagic oxygen minimum zones (OMZs), where conditions seem unlikely to support aerobic ammonium oxidation. Due to the lack of information on any potential alternative metabolism of AOA, the AOA community composition might be expected to differ between oxic and anoxic environments, indicating some difference in ecology and/or physiology of the AOA assemblage. This hypothesis was tested by evaluating AOA community composition using a functional gene microarray that targets the ammonia monooxygenase gene subunit A (amoA). The relationship between environmental parameters and the biogeography of the Arabian Sea and the Eastern Tropical South Pacific (ETSP) AOA assemblages was investigated using principal component analysis (PCA) and redundancy analysis (RDA). In both the Arabian Sea and the ETSP, AOA communities within the core of the OMZ were not significantly different from those inhabiting the oxygenated surface waters above the OMZ. The AOA communities in the Arabian Sea were significantly different from those in the ETSP. In both oceans, the abundance of archaeal amoA gene in the core of the OMZ was higher than that in the surface waters. Our results indicate that AOA communities are distinguished by their geographic origin. RDA suggested that temperature was the main factor that correlated with the differences between the AOA communities from the Arabian Sea and those from the ETSP. Physicochemical properties that characterized the different environments of the OMZ and surface waters played a less important role than did geography in shaping the AOA community composition.

2013-06-20 | GSE46851 | GEO

A transcriptomics approach to compare transcriptomes of individual methylotrophs from Lake Washington sediment in artificial communities and in pure cultures.

Project description:We established simple synthetic microbial communities in a microcosm model system to determine the mechanisms that underlay cross-feeding in microbial methane-consuming communities. Co-occurring strains from Lake Washington sediment were used that are involved in methane consumption, a methanotroph and two non-methanotrophic methylotrophs.

2016-12-26 | GSE85736 | 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