Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Marine sediment metagenome

ABSTRACT: Samples collected from offshore wind farms might affect marine sediment quality and microbial communities

PROVIDER: PRJNA837338 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR19174274_1.fastq.gz	Fastqsanger.gz
	SRR19174274_2.fastq.gz	Fastqsanger.gz
	SRR19174275_1.fastq.gz	Fastqsanger.gz
	SRR19174275_2.fastq.gz	Fastqsanger.gz
	SRR19174276_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 24

Similar Datasets

Putidao offshore wind farm sediment sample

Project description:Evidence that offshore wind farms might affect marine sediment quality and microbial communities

| PRJNA836721 | ENA

Improving protein extraction for metaproteomic analysis of marine sediment with high clay content

Project description:Marine sediments harbor highly diverse microbial communities that contribute to global biodiversity and play essential roles in the ecosystem functioning. However, the metaproteome of marine sediments remains poorly understood. Extracting proteins from environmental samples can be challenging, especially in marine sediments due to their complex matrix. Few studies have been conducted on improving protein extraction methods from marine sediments. To establish an effective protein extraction workflow for clay-rich sediments, we compared, combined and improved several protein extraction methods. The presented workflow includes blocking of protein binding sites on sediment particles with high concentrations of amino acids, effective cell lysis via ultra-sonication, and the electro-elution and simultaneous fractionation of proteins. Using this workflow, we were able to recover 100% of the previously added Escherichia coli proteins from the sediment.

2025-05-12 | PXD054260 | Pride

marine sediment metagenome

Project description:Bacterial communities from marine sediment of salmon farms

| PRJNA642671 | ENA

Survey functional genes in Arctic marine sediment communities

Project description:The objective was to identify functional genes encoded by Fungi and fungal-like organisms to assess putative ecological roles Using the GeoChip microarray, we detected fungal genes involved in the complete assimilation of nitrate and the degradation of lignin, as well as evidence for Partitiviridae (a mycovirus) that likely regulates fungal populations in the marine environment. These results demonstrate the potential for fungi to degrade terrigenously-sourced molecules, such as permafrost and compete with algae for nitrate during blooms. Ultimately, these data suggest that marine fungi could be as important in oceanic ecosystems as they are in freshwater environments.

2020-07-14 | GSE117831 | GEO

Biological effects of marine contaminated sediments on Sparus aurata juveniles

Project description:Chemical analysis of the compounds present in sediment, although informative, often is not indicative of the downstream biological effects that these contaminants exert on resident aquatic organisms. More direct molecular methods are needed to determine if marine life is affected by exposure to sediments. In this study, we used an aquatic multispecies microarray and q-PCR to investigate the effects on gene expression in juvenile sea bream (Sparus aurata) of two contaminated sediments defined as sediment 1 and 2 respectively, from marine areas in Northern Italy.

2011-01-01 | E-TABM-1146 | biostudies-arrayexpress

marine sediment metagenome

Project description:Marine sediment

| PRJNA285206 | ENA

marine sediment metagenome

Project description:Marine sediment

| PRJNA273699 | ENA

marine sediment metagenome

Project description:Marine sediment

| PRJNA283163 | ENA

marine sediment

Project description:Marine sediment metagenomic assembly

| PRJNA957240 | ENA

Single cell RNA sequencing of urine sediment from early and advanced Diabetic Kidney Disease (DKD) patients

Project description:Urine sediment collected from patients diagnosed with early and advanced DKD are subject to single cell RNA sequencing. The resulting data are used to define early tubule injury/repairing signatures.

2025-01-23 | GSE266146 | 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