Project description:Microbial communities in fluid fine tailings of first full-scale demonstration oil sands end pit lake: high-throughput sequencing data
| PRJEB32633 | ENA
Project description:16S rRNA community analysis of oil sands tailings ponds
| PRJNA432217 | ENA
Project description:Microbial community in oil sands tailings following capping and native boreal community plantation
| PRJNA894999 | ENA
Project description:Hydrocarbon biodegradation in oil sands tailings
| PRJNA1041373 | ENA
Project description:Effect of pressure on microbial communities in oil sands tailings
| PRJNA1148474 | ENA
Project description:Transcriptome analysis of Willow grown on oil sands tailings
| PRJNA762091 | ENA
Project description:Genome sequencing of microorganisms from oil sands tailings ponds
Project description:An European eel-specific microarray platform was developed to identify genes involved in response to pollutants. A comparative analysis of gene expression was conducted between European eel Anguilla anguilla individuals from lowly-polluted Wijmeers pond at Uitbergen (Belgium), highly-polluted Hazewinkel pond at Willebroek (Belgium), extremely-polluted Dessel-Schotel canal at the locations of Schotel (Belgium) and low polluted Bolsena lake (Italy) environments.
Project description:Samples of oil and production water were collected from five wells of the Qinghai Oilfield, China, and subjected to GeoChip hybridization experiments for microbial functional diversity profiling. Unexpectedly, a remarkable microbial diversity in oil samples, which was higher than that in the corresponding water samples, was observed, thus challenging previously believed assumptions about the microbial diversity in this ecosystem. Hierarchical clustering separated oil and water samples, thereby indicating distinct functional structures in the samples. Genes involved in the degradation of hydrocarbons, organic remediation, stress response, and carbon cycling were significantly abundant in crude oil, which is consistent with their important roles in residing in oil. Association analysis with environmental variables suggested that oil components comprising aromatic hydrocarbons, aliphatic hydrocarbons, and a polar fraction with nitrogen-, sulfur-, and oxygen-containing compounds were mainly influential on the structure of the microbial community. Furthermore, a comparison of microbial communities in oil samples indicated that the structures were depth/temperature-dependent. To our knowledge, this is the first thorough study to profile microbial functional diversity in crude oil samples. From the Qinghai Oilfield located in the Tibetan Plateau, northwest China, oil production mixtures were taken from four oil production wells (No. 813, 516, 48 and 27) and one injection well (No. 517) in the Yue-II block. The floating oil and water phases of the production mixtures were separated overnight by gravitational separation. Subsequently, the microbial community and the characteristics of the water solution (W813, W516, W48, and W27) and floating crude oil (O813, O516, O48, and O27) samples were analyzed. A similar analysis was performed with the injection water solution (W517).