Environmental Sediment
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA713809 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Xiangjiang River (Hunan, China) has been contaminated with heavy metal for several decades by surrounding factories. However, little is known about the influence of a gradient of heavy metal contamination on the diversity, structure of microbial functional gene in sediment. To deeply understand the impact of heavy metal contamination on microbial community, a comprehensive functional gene array (GeoChip 5.0) has been used to study the functional genes structure, composition, diversity and metabolic potential of microbial community from three heavy metal polluted sites of Xiangjiang River.
2016-08-02 | GSE85064 | GEO
Project description:The Italian island of Sardinia is well known in studies of human population isolates. It is also home to the Fonni's Dog, a breed of canine whose development was reliant on the functionality of the dog. Using genome-wide variant and sequence analyses, we have characterized the Fonni's Dog relative to 27 other dog breeds from the Mediterranean region. We determine introgression events relevant to Mediterranean breed development and describe how the Fonni's dog presents an intriguing model demonstrating the characteristics of traditional human population isolates and, in particular, exhibiting the unique demographic composition of the people of Sardinia.
2016-06-10 | GSE83225 | GEO
Project description:The Italian island of Sardinia is well known in studies of human population isolates. It is also home to the Fonni's Dog, a breed of canine whose development was reliant on the functionality of the dog. Using genome-wide variant and sequence analyses, we have characterized the Fonni's Dog relative to 27 other dog breeds from the Mediterranean region. We determine introgression events relevant to Mediterranean breed development and describe how the Fonni's dog presents an intriguing model demonstrating the characteristics of traditional human population isolates and, in particular, exhibiting the unique demographic composition of the people of Sardinia.
2016-06-10 | GSE83154 | GEO
Project description:The Italian island of Sardinia is well known in studies of human population isolates. It is also home to the Fonni's Dog, a breed of canine whose development was reliant on the functionality of the dog. Using genome-wide variant and sequence analyses, we have characterized the Fonni's Dog relative to 27 other dog breeds from the Mediterranean region. We determine introgression events relevant to Mediterranean breed development and describe how the Fonni's dog presents an intriguing model demonstrating the characteristics of traditional human population isolates and, in particular, exhibiting the unique demographic composition of the people of Sardinia.
2016-06-10 | GSE83151 | GEO
Project description:Xiangjiang River (Hunan, China) has been contaminated with heavy metal for several decades by surrounding factories. However, little is known about the influence of a gradient of heavy metal contamination on the diversity, structure of microbial functional gene in sediment. To deeply understand the impact of heavy metal contamination on microbial community, a comprehensive functional gene array (GeoChip 5.0) has been used to study the functional genes structure, composition, diversity and metabolic potential of microbial community from three heavy metal polluted sites of Xiangjiang River. Three groups of samples, A, B and C. Every group has 3 replicates.
2016-08-02 | E-GEOD-85064 | biostudies-arrayexpress
Project description:The Italian island of Sardinia is well known in studies of human population isolates. It is also home to the Fonni's Dog, a breed of canine whose development was reliant on the functionality of the dog. Using genome-wide variant and sequence analyses, we have characterized the Fonni's Dog relative to 27 other dog breeds from the Mediterranean region. We determine introgression events relevant to Mediterranean breed development and describe how the Fonni's dog presents an intriguing model demonstrating the characteristics of traditional human population isolates and, in particular, exhibiting the unique demographic composition of the people of Sardinia. 4 canine samples representing 1 dog breed
2016-06-10 | E-GEOD-83225 | biostudies-arrayexpress
Project description:The Italian island of Sardinia is well known in studies of human population isolates. It is also home to the Fonni's Dog, a breed of canine whose development was reliant on the functionality of the dog. Using genome-wide variant and sequence analyses, we have characterized the Fonni's Dog relative to 27 other dog breeds from the Mediterranean region. We determine introgression events relevant to Mediterranean breed development and describe how the Fonni's dog presents an intriguing model demonstrating the characteristics of traditional human population isolates and, in particular, exhibiting the unique demographic composition of the people of Sardinia. 82 canine samples representing 9 dog breeds
2016-06-10 | E-GEOD-83154 | biostudies-arrayexpress
Project description:The Italian island of Sardinia is well known in studies of human population isolates. It is also home to the Fonni's Dog, a breed of canine whose development was reliant on the functionality of the dog. Using genome-wide variant and sequence analyses, we have characterized the Fonni's Dog relative to 27 other dog breeds from the Mediterranean region. We determine introgression events relevant to Mediterranean breed development and describe how the Fonni's dog presents an intriguing model demonstrating the characteristics of traditional human population isolates and, in particular, exhibiting the unique demographic composition of the people of Sardinia. 51 canine samples representing 12 dog breeds
2016-06-10 | E-GEOD-83151 | biostudies-arrayexpress
Project description:The zebrafish embryo has repeatedly proved to be a useful model for the analysis of effects by environmental toxicants. This 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 freeze-dried whole sediment samples and their corresponding organic extracts in parallel. To 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 considerable extent 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. Additionally, different gene expression was shown to be less influenced by the sampling site than by the method of exposure, which could be attributed to differential bioavailability of contaminants. Microarray analyses were performed with early life stages of zebrafish exposed to sediment extracts or freeze-dried sediment from three sampling sites (Ehingen, Lauchert, Sigmaringen) along the Upper part of the Danube River, Germany. The expression profiles were compared within the sampling sites, between the exposure scheme and to the expression pattern of model toxicants, such as 4-chloroaniline, Cadmium, DDT, TCDD, and Valproic acid (Gene Expression Omnibus Series GSE9357). Additionally, mechanism-specific bioassays and chemical analysis of the sediments have been combined and compared to the present gene expression data.
2012-12-31 | E-GEOD-31400 | biostudies-arrayexpress
Project description:Metaproteomic data for Rodriguez-Ramos, et al. interrogating microbial and viral communities of hyporheic river sediments within the Columbia River. Samples were digested with trypsin, and analyzed by LC-MS/MS. Data was searched with MS-GF+ using PNNL's DMS Processing pipeline.
2021-04-28 | MSV000087330 | MassIVE