Ontology highlight
ABSTRACT:
PROVIDER: PRJNA384116 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR5479592.fastq.gz | Fastqsanger.gz | |||
| SRR5479593.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 2 of 2 |
Similar Datasets
Project description:We report here the release of a multi organ transcriptome developped for the Arctic char Salvelinus alpinus. This reference set was obtained using the 454 GS FLX+ technology. A pool of one-year-old, immature offspring of wild, anadromous Arctic charr originating from Lake Varflusjoen, Svalbard (79oN), including both lean and fat individuals, and three-years-old mature offspring of charr originating from Lake Vårflusjøen, North-Norway (70oN) was sampled. In order to maximize the diversity of expressed transcripts, we sampled a variety of organs and tissues; the whole brain, gill and head kidney and pieces of the liver, gonad, abdominal fat and muscle.
2016-08-18 | E-MTAB-3522 | biostudies-arrayexpress
Project description:18S targeted loci analysis of microbial Eukaryotes in Arctic sea ice
| PRJNA286676 | ENA
Project description:In this project, the metaproteome of the marine bacterioplankton was analyzed to assess its respone towards an algal bloom in the southern North Sea in spring 2010. Proteins were extracted applying two different methods: (i) applying chemical cell lysis using trifluoroethanol in combination with in-solution digest and (ii) mechanical cell lysis applying bead beating, SDS-PAGE prefractionation and in-gel digest. Both samples were analyzed by nanoLC and ESI-iontrap MS. In case of the TFE lysis samples, also nanoLC-MALDI-TOF MS was applied.
2017-04-11 | PXD004944 | Pride
Project description:Marine microalgae (phytoplankton) mediate almost half of the worldwide photosynthetic carbon dioxide fixation and therefore play a pivotal role in global carbon cycling, most prominently during massive phytoplankton blooms. Phytoplankton biomass consists of considerable proportions of polysaccharides, substantial parts of which are rapidly remineralized by heterotrophic bacteria. We analyzed the diversity, activity and functional potential of such polysaccharide-degrading bacteria in different size fractions during a diverse spring phytoplankton bloom at Helgoland Roads (southern North Sea) at high temporal resolution using microscopic, physicochemical, biodiversity, metagenome and metaproteome analyses.
2024-01-15 | PXD046705 | Pride
Project description:Marine snow plays a central role in carbon cycling. It consists of organic particles and particle-associated (PA) microbMarine snow plays a central role in carbon cycling. It consists of organic particles and particle-associated (PA) microbial communities that are embedded in a sugary matrix. Metaproteomic analysis offers the unique opportunity to gain unprecedented insight into the microbial community composition and biomolecular activity of environmental samples. In order to realize this potential for marine PA microbial communities, new methods of protein extraction must be developed. In this study, we used 1D-SDS-PAGEs and LC-MS/MS to compare the efficiency of six established protein extraction protocols for their applicability of metaproteomic analyses of the PA microbial community in the North Sea. A combination of SDS-buffer extraction and bead beating resulted in the greatest number of identified protein groups. As expected, a metagenomic database of the same environmental sample increased the number of protein identification by approximately 50%. To demonstrate the application of our established protocol, particulate bacterioplankton samples collected during spring phytoplankton bloom in 2009 near the island Helgoland, were analysed by a GeLC-MS/MS-based metaproteomic approach. Our results indicated that there are only slight differences in the taxonomical distribution between free-living (FL) and PA bacteria but that the abundance of protein groups involved in polysaccharide degradation, motility and particle specific stress (oxygen limitation, nutrient limitation, heavy metal stress) is higher in the PA fractions. ial communities that are embedded in a sugary matrix. Metaproteomic analysis offers the unique opportunity to gain unprecedented insight into the microbial community composition and biomolecular activity of environmental samples. In order to realize this potential for marine PA microbial communities, new methods of protein extraction must be developed. In this study, we used 1D-SDS-PAGEs and LC-MS/MS to compare the efficiency of six established protein extraction protocols for the their applicability of metaproteomic analyses of the PA microbial community in the North Sea. A combination of SDS-buffer extraction and bead beating resulted in the greatest number of identified protein groups. As expected, a metagenomic database of the same environmental sample increased the number of protein identification by approximately 50%. To demonstrate the application of our established protocol, particulate bacterioplankton samples collected during spring phytoplankton bloom in 2009 near the island Helgoland, were analysed by a GeLC-MS/MS-based metaproteomic approach. Our results indicated that there are only slight differences in the taxonomical distribution between free-living (FL) and PA bacteria but that the abundance of protein groups involved in polysaccharide degradation, motility and particle specific stress (oxygen limitation, nutrient limitation, heavy metal stress) is higher in the PA fractions.
2021-02-15 | PXD012699 | Pride
Project description:The spring bloom in the North Atlantic develops over a few weeks in response to the physical stabilization of the nutrient replete water column and is one of the biggest biological signals on earth. The composition of the phytoplankton assemblage during the spring bloom of 2008 was evaluated, using a microarray, on the basis of functional genes that encode key enzymes in nitrogen and carbon assimilation in eukaryotic and prokaryotic phytoplankton. Oligonucleotide archetype probes representing RuBisCO, nitrate reductase and nitrate transporter genes from major phytoplankton classes detected a diverse assemblage. For RuBisCO, the archetypes with strongest signals represented known phytoplankton groups, but for the nitrate related genes, the major signals were not closely related to any known phytoplankton sequences. Most of the assemblage's components exhibited consistent temporal/spatial patterns. Yet, the strongest archetype signals often showed quite different patterns, indicating different ecological responses by the main players. The most abundant phytoplankton genera identified previously by microscopy, however, were not well represented on the microarray. The lack of sequence data for well-studied species, and the inability to identify organisms associated with functional gene sequences in the environment, still limits our understanding of phytoplankton ecology even in this relatively well-studied system.
2016-05-11 | GSE81262 | GEO
Project description:Long rough dab (Hippoglossoides platessoides) is an important flatfish fish species in the north Atlantic arctic and sub-arctic marine foodweb that could be vulnerable to contaminant exposure from offshore petroleum related activities. The study was conducted to map transcriptome responses in long rough dab precision cut liver slice (PCLS) culture exposed to benzo[a]pyrene (BaP). BaP is a polyaromatic hydrocarbon (PAH) which is among the most toxic compounds found in crude oil. PCLS culture was performed under 10 µM BaP exposure for 72 h and transcriptome analysis (RNA-seq) analysis was performed to characterize de novo transcriptome of the liver and identify genes responding to BaP exposure.
2024-09-09 | E-MTAB-13932 | biostudies-arrayexpress
Project description:Marine metatranscriptome from Arctic microbial eukaryotes
| PRJEB18992 | ENA