Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Larval Hatchery Crasn 16s Amplicon Sequencing

PROVIDER: PRJNA744562 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR15066700_1.fastq.gz	Fastqsanger.gz
	SRR15066700_2.fastq.gz	Fastqsanger.gz
	SRR15066701_1.fastq.gz	Fastqsanger.gz
	SRR15066701_2.fastq.gz	Fastqsanger.gz
	SRR15066702_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 70

Similar Datasets

Experimental tests strongly challenge the evidence of a healthy human blood microbiome

Project description:The study critically evaluate the results of 16S targeted amplicon sequencing performed on the total DNA collected from healthy donors’ blood samples in the light of specific negative controls.

2024-03-01 | GSE254843 | GEO

Soil Metaproteomics LC-MS

Project description:Sensitive models of climate change impacts would require a better integration of multi-omics approaches that connect the abundance and activity of microbial populations. Here, we show that climate is a fundamental driver of the protein abundance of microbial populations (metaproteomics), yet not their genomic abundance (16S rRNA gene amplicon sequencing), supporting the hypothesis that metabolic activity may be more closely linked to climate than community composition.

2022-03-01 | PXD009773 | Pride

Washington state shellfish hatchery microbiome

Project description:Effluent from geoduck clam larval rearing tanks at two different pH (8.2 and 7.1) was collected at 4 time points (Days 1, 5, 8, and 12) over 12 days in a shellfish hatchery in Washington state, USA. The water was filtered to 0.2 microns to retain the bacterial fraction.

2021-04-21 | PXD020692 | Pride

Quantification of mock microbial communities with metagenomes, 16S rRNA gene amplicons and metaproteomics

Project description:In this study we developed metaproteomics based methods for quantifying taxonomic composition of microbiomes (microbial communities). We also compared metaproteomics based quantification to other quantification methods, namely metagenomics and 16S rRNA gene amplicon sequencing. The metagenomic and 16S rRNA data can be found in the European Nucleotide Archive (Study number: PRJEB19901). For the method development and comparison of the methods we analyzed three types of mock communities with all three methods. The communities contain between 28 to 32 species and strains of bacteria, archaea, eukaryotes and bacteriophage. For each community type 4 biological replicate communities were generated. All four replicates were analyzed by 16S rRNA sequencing and metaproteomics. Three replicates of each community type were analyzed with metagenomics. The "C" type communities have same cell/phage particle number for all community members (C1 to C4). The "P" type communities have the same protein content for all community members (P1 to P4). The "U" (UNEVEN) type communities cover a large range of protein amounts and cell numbers (U1 to U4). We also generated proteomic data for four pure cultures to test the specificity of the protein inference method. This data is also included in this submission.

2017-05-12 | PXD006118 | Pride

Hhigh-throughput sequencing of in vitro fecal fermentation samples

Project description:We report the use of high-throughput sequencing technology to detect the microbial composition and abundance of mice grastic contents before and after Helicobacter pylori infection or Lactobacillus paracasei ZFM54 pretreatment/treatment. The genomic DNA was obtained by the QIAamp PowerFecal DNA Kit. Then, the DNA samples were sent to BGI Genomics Co., Ltd. (Shenzhen, China) for V3-V4 region of the 16S rRNA gene high-throughput sequencing with an Illumina MiSeq platform. DNA samples were sequenced using primers 338F (forward primer sequence ACTCCTACGGGAGGCAGCAG)-806R (reverse primer sequence GGACTACHVGGGTWTCTAAT). The sequencing analyses were carried out using silva138/16s database as a reference for the assignation of Amplicon Sequence Variant (ASV) at 100% similarity.

2022-07-27 | GSE208665 | GEO

Microbial communities in the gut of the beetle Odontotaenius disjunctus

Project description:16S amplicon pool analyses of the four gut sections of the wood-feeding beetle, Odontotaenius disjunctus The beetle is purely wood feeding, and we aim to first characterize the community that exist within the gut sections

2012-08-14 | GSE40067 | GEO

16S rDNA Amplicon Sequencing Analysis of Polystyrene Microplastic Exposed Zebrafish Intestine

Project description:Microplastics (MPs) as widespread contamination pose high risk for aquatic organisms.Intestinal microbiotahas have high interaction with immune system of host body. In this study, intestinal microbiota of zebrafish after Polystyrene (PS-MPs) exposure were characterized by 16S rDNA amplicon sequencing. We found that 100nm and 200μm PS-MPs exposure significantly increased diversity of intestinal microbiota and all the three sizes of PS-MPs increased abundance of pathogenic bacteria.

2019-10-01 | GSE136108 | GEO

Project description:Horn Point Laboratory Oyster Hatchery 2021 Larval Microbiota

| PRJNA1104222 | ENA

Bioaerosols in swine confinement buildings: A metaproteomic view

Project description:Swine confinement buildings (SCBs) represent workplaces with high biological air pollution. It is suspected that individual components of inhalable air are causatives of chronic respiratory disease that are regularly detected among workers. In order to understand the relationship between exposure and stress, the aim of this study was to develop a method to investigate the components of bioaerosols in more detail. For this purpose, bioaerosols from pig barns were collected on quartz filters from two exclusively housed pig types (porkers and gestating sows) and subsequently analyzed via a combinatorial approach of 16S rRNA amplicon sequencing and metaproteomics. The workflow helps to clarify diversity in bioaerosols from a taxonomic perspective, but also from a functional perspective.

2024-01-26 | PXD039685 | Pride

LC-MS/MS of autotrophic culture KS, that performs nitrate reduction coupled to iron(II) oxidation (NDFO)

Project description:Nitrate-reducing iron(II)-oxidizing bacteria are widespread in the environment contribute to nitrate removal and influence the fate of the greenhouse gases nitrous oxide and carbon dioxide. The autotrophic growth of nitrate-reducing iron(II)-oxidizing bacteria is rarely investigated and poorly understood. The most prominent model system for this type of studies is enrichment culture KS, which originates from a freshwater sediment in Bremen, Germany. To gain insights in the metabolism of nitrate reduction coupled to iron(II) oxidation under in the absence of organic carbon and oxygen limited conditions, we performed metagenomic, metatranscriptomic and metaproteomic analyses of culture KS. Raw sequencing data of 16S rRNA amplicon sequencing, shotgun metagenomics (short reads: Illumina; long reads: Oxford Nanopore Technologies), metagenome assembly, raw sequencing data of shotgun metatranscriptomes (2 conditions, triplicates) can be found at SRA in https://www.ncbi.nlm.nih.gov/bioproject/PRJNA682552. This dataset contains proteomics data for 2 conditions (heterotrophic and autotrophic growth conditions) in triplicates.

2021-05-17 | PXD023186 | Pride

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