Marine sediment metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA599172 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Costa Rica margin subsurface Metagenome
| PRJNA264715 | ENA
Project description:The ‘Genetic Epidemiology of Asthma in Costa Rica’ is a family-based cross-sectional cohort ascertained between February 2001 and August 2008 on a Hispanic population isolate from the Central Valley of Costa Rica. The study recruited children between 6 to 14 years of age with moderate persistent asthma.
2022-05-21 | GSE203482 | GEO
Project description:Microbial life in the shallow subsurface sediments on the Arctic Mid-Ocean Ridge
| PRJNA529480 | ENA
Project description:Costa Rica Margin Subseafloor Microbial Community Analysis
| PRJEB11766 | ENA
Project description:Microbial diversity in tropical shallow marine sediments
| PRJNA522377 | ENA
Project description:Microbial diversity in the oligotrophic subseafloor sediments beneath North Pond, IODP 336
| PRJNA489438 | ENA
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
Project description:The zebrafish embryo has repeatedly proved to be a useful model for the analysis of effects by environmental toxicants. This proof-of-concept study was performed to investigate if an approach combining mechanism-specific bioassays with microarray techniques can obtain more in-depth insights into the ecotoxicity of complex pollutant mixtures as present, e.g., in sediment extracts. For this end, altered gene expression was compared to data from established bioassays as well as to results from chemical analysis. Microarray analysis revealed several classes of significantly regulated genes which could to a considerably extend be related to the hazard potential. Results indicate that potential classes of contaminants can be assigned to sediment extracts by both classical biomarker genes and corresponding expression profile analyses of known substances. However, it is difficult to distinguish between specific responses and more universal detoxification of the organism. Microarray analysis were performed with early life stages of zebrafish exposed to 2 sediment extracts from the Upper part of the River Rhine, Germany. The expression profile as then compared to the expression pattern of model toxicants, such as, 4-chloroaniline, Cadmium, DDT, TCDD, and Valproic acid (Gene Expression Omnibus Series GSE9357). Additionally, combining mechanism-specific bioassays as well as chemical analysis of the sediments to the gene expression data has contributed to a more comprehensive view on the hazard potential of the sediments.
2012-12-31 | E-GEOD-30594 | biostudies-arrayexpress
Project description:Cascadia margin sediment metagenome
| PRJNA380371 | ENA
Project description:3 uncultured phage metagenomes collected from Costa Rica
| PRJNA52305 | ENA