Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Prokaryotic V4 16S rRNA community of Western Spitsbergen permafrost

PROVIDER: PRJNA625477 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR11552700.fastq.gz	Fastqsanger.gz
	SRR11552701.fastq.gz	Fastqsanger.gz
	SRR11552702.fastq.gz	Fastqsanger.gz
	SRR11552703.fastq.gz	Fastqsanger.gz
	SRR11552704.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 20

Similar Datasets

Project description:Prokaryotic V4 16S rRNA community of soils of Grendalen (Western Spitsbergen )

| PRJNA675440 | ENA

Differences in major bacterial taxa in three high Arctic soils lead to different CO2 production rates

Project description:The melting of permafrost and its potential impact on greenhouse gas emissions is a major concern in the context of global warming. The fate of the carbon trapped in permafrost will largely depend on soil physico-chemical characteristics, among which are the quality and quantity of organic matter, pH and water content, and on microbial community composition. In this study, we used microarrays and real-time PCR (qPCR) targeting 16S rRNA genes to characterize the bacterial communities in three different soil types representative of various Arctic settings. The microbiological data were linked to soil physico-chemical characteristics and CO2 production rates. Microarray results indicated that soil characteristics, and especially the soil pH, were important parameters in structuring the bacterial communities at the genera/species levels. Shifts in community structure were also visible at the phyla/class levels, with the soil CO2 production rate being positively correlated to the relative abundance of the Alphaproteobacteria, Bacteroidetes, and Betaproteobacteria. These results indicate that CO2 production in Arctic soils does not only depend on the environmental conditions, but also on the presence of specific groups of bacteria that have the capacity to actively degrade soil carbon. Three different soil types from the Canadian high Arctic were sampled at two depths within the active layer of soil and at two sampling dates (winter and summer conditions), for a total of 20 samples.

2011-01-01 | E-GEOD-24800 | biostudies-arrayexpress

Differences in major bacterial taxa in three high Arctic soils lead to different CO2 production rates

2011-01-01 | GSE24800 | GEO

Targeting the treponemal microbiome of digital dermatitis infections by deep coverage pyrosequencing

Project description:We examined 36 biopsies taken from digital dermatitis lesions of Holstein cows. The target was the V3 -V4 variable region of 16S rRNA using Treponema specific primers. We identified 20 different taxa of Treponema using this approach.

2013-06-25 | GSE42426 | GEO

Evaluating the gut microbiota shifts caused by two diets based on ancient grains

Project description:Total DNA was extracted from stool specimens, amplified to collect amplicons of variable V3–V4 regions of the bacterial 16s rRNA gene and sequenced with MiSeq (2x300bp) Illumina platform.

2022-08-24 | GSE206807 | GEO

Comparing the microbiota composition between Cocaine addicted and Healthy subjects and the corresponding shift caused by rTMS treatment.

Project description:Total DNA was extracted from saliva and stool of the patients, amplified to collect amplicons of variable V3–V4 regions of the bacterial 16s rRNA gene and sequenced with MiSeq (2x300bp) Illumina platform.

2023-05-31 | GSE206765 | GEO

Targeting the treponemal microbiome of digital dermatitis infections by deep coverage pyrosequencing

2013-06-25 | E-GEOD-42426 | biostudies-arrayexpress

First exploration of the altered microbial gut-lung axis in the pathogenesis of human refractory chronic cough

Project description:v3-v4 16S rRNA sequencing was used to characterize both gut and oral microbiota composition of RCC (refractory chronic cough) patients and matched healthy controls (HC). The groups are matched in age and gender.

2024-04-17 | GSE240646 | GEO

Analysis of microbiota composition within breast tumor and healthy breast tissues in males and females

Project description:Total DNA was extracted from FFPE specimens of breast tumor and surrounding healthy tissue, amplified to collect amplicons of variable V3–V4 regions of the bacterial 16s rRNA gene and sequenced with MiSeq (2x300bp) Illumina platform.

2023-06-14 | GSE212891 | GEO

Comparing the microbiota composition between HPV positive and negative patients with CRC

Project description:Total DNA was extracted from the stool of the patients, amplified to collect amplicons of variable V3–V4 regions (primers 341F and 805R) of the bacterial 16s rRNA gene and sequenced with MiSeq (2x300bp) Illumina platform.

2023-10-15 | GSE216589 | 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