Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Peat metagenome

ABSTRACT: Schlöppnerbrunnen omics

PROVIDER: PRJNA412159 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other
	SRR2098830_1.fastq.gz	Fastqsanger.gz
	SRR2098830_2.fastq.gz	Fastqsanger.gz
	SRR2098840_1.fastq.gz	Fastqsanger.gz
	SRR2098840_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 701

Similar Datasets

peat metagenome

Project description:Schlöppnerbrunnen omics: 13 metagenome-assembled genomes

| PRJNA412580 | ENA

peat metagenome

Project description:Schlöppnerbrunnen omics: SIP pool and native soil metagenomes

| PRJNA412436 | ENA

peat metagenome

Project description:Schlöppnerbrunnen omics: single-substrates peat soil microcosm incubation experiment metagenomes

| PRJNA421255 | ENA

peat metagenome

Project description:Schlöppnerbrunnen omics: single-substrates peat soil microcosm incubation experiment metatranscriptomes

| PRJNA412438 | ENA

peat metagenome

Project description:Schlöppnerbrunnen omics: single-substrates peat soil microcosm incubation experiment 16S rRNA gene and cDNA amplicons

| PRJNA437374 | ENA

Microbiome profiling Schlöppnerbrunnen peat cores

Project description:Microbiome profiling Schlöppnerbrunnen peat cores from different depths

| PRJEB25857 | ENA

Draft Metagenome Sequences of the <i>Sphagnum</i> (Peat Moss) Microbiome from Ambient and Warmed Environments across Europe.

Project description:We present 49 metagenome assemblies of the microbiome associated with Sphagnum (peat moss) collected from ambient, artificially warmed, and geothermally warmed conditions across Europe. These data will enable further research regarding the impact of climate change on plant-microbe symbiosis, ecology, and ecosystem functioning of northern peatland ecosystems.

| S-EPMC9584203 | biostudies-literature

Relating human gut metagenome and metaproteome

Project description:Gut microbiome research is rapidly moving towards the functional characterization of the microbiota by means of shotgun meta-omics. Here, we selected a cohort of healthy subjects from an indigenous and monitored Sardinian population to analyze their gut microbiota using both shotgun metagenomics and shotgun metaproteomics. We found a considerable divergence between genetic potential and functional activity of the human healthy gut microbiota, in spite of a quite comparable taxonomic structure revealed by the two approaches. Investigation of inter-individual variability of taxonomic features revealed Bacteroides and Akkermansia as remarkably conserved and variable in abundance within the population, respectively. Firmicutes-driven butyrogenesis (mainly due to Faecalibacterium spp.) was shown to be the functional activity with the higher expression rate and the lower inter-individual variability in the study cohort, highlighting the key importance of the biosynthesis of this microbial by-product for the gut homeostasis. The taxon-specific contribution to functional activities and metabolic tasks was also examined, giving insights into the peculiar role of several gut microbiota members in carbohydrate metabolism (including polysaccharide degradation, glycan transport, glycolysis and short-chain fatty acid production). In conclusion, our results provide useful indications regarding the main functions actively exerted by the gut microbiota members of a healthy human cohort, and support metaproteomics as a valuable approach to investigate the functional role of the gut microbiota in health and disease.

2017-07-19 | PXD005780 | Pride

Microbiome profiling of Schöppnerbrunnen peat soil microcosm incubations

Project description:Illumina MiSeq 16S rRNA amplicon sequencing of microcosm incubations using peat soil collected from the Schlöppnerbrunnen fen

| PRJEB43325 | ENA

Metagenome sequencing of feces of mouse treated D-galactose or not

Project description:D-galactose orally intake ameliorate DNCB-induced atopic dermatitis by modulating microbiota composition and quorum sensing. The increased abundance of bacteroidetes and decreased abundance of firmicutes was confirmed. By D-galactose treatment, Bacteroides population was increased and prevotella, ruminococcus was decreased which is related to atopic dermatitis.

2022-04-29 | E-MTAB-11632 | 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