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ABSTRACT:
PROVIDER: PRJNA1208074 | ENA |
REPOSITORIES: ENA
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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).
2016-04-01 | E-GEOD-55293 | biostudies-arrayexpress
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.
2016-04-01 | GSE55293 | GEO
Project description:Traditional biomarkers for hydrocarbon exposure are not induced by all petroleum substances. The objective of this study was to determine if exposure to a crude oil and different refined oils would generate a common hydrocarbon-specific response in gene expression profiles that could be used as generic biomarkers of hydrocarbon exposure. Juvenile rainbow trout (Oncorhynchus mykiss) were exposed to the water accommodated fraction (WAF) of either kerosene, gas oil, heavy fuel oil, or crude oil for 96 hours. Tissue was collected for RNA extraction and microarray analysis. Exposure to each WAF resulted in a different list of differentially regulated genes, with few genes in common across treatments. Exposure to crude oil WAF changed the expression of genes including CYP1A and GST with known roles in detoxification pathways. These gene expression profiles were compared to others from previous experiments which used a diverse suite of toxicants. Clustering algorithms successfully i dentified gene expression profiles resulting from hydrocarbon exposure. These preliminary analyses highlight the difficulties of using single genes as diagnostic of petroleum hydrocarbon exposures. Further work is needed to determine if multivariate transcriptomic-based biomarkers may be a more effective tool than single gene studies for exposure monitoring of different oils.
2009-12-15 | GSE19483 | GEO
Project description:Traditional biomarkers for hydrocarbon exposure are not induced by all petroleum substances. The objective of this study was to determine if exposure to a crude oil and different refined oils would generate a common hydrocarbon-specific response in gene expression profiles that could be used as generic biomarkers of hydrocarbon exposure. Juvenile rainbow trout (Oncorhynchus mykiss) were exposed to the water accommodated fraction (WAF) of either kerosene, gas oil, heavy fuel oil, or crude oil for 96 hours. Tissue was collected for RNA extraction and microarray analysis. Exposure to each WAF resulted in a different list of differentially regulated genes, with few genes in common across treatments. Exposure to crude oil WAF changed the expression of genes including CYP1A and GST with known roles in detoxification pathways. These gene expression profiles were compared to others from previous experiments which used a diverse suite of toxicants. Clustering algorithms successfully i dentified gene expression profiles resulting from hydrocarbon exposure. These preliminary analyses highlight the difficulties of using single genes as diagnostic of petroleum hydrocarbon exposures. Further work is needed to determine if multivariate transcriptomic-based biomarkers may be a more effective tool than single gene studies for exposure monitoring of different oils. Two channel experiment; control versus exposed (samples were time matched). 3 biological replicates, three technical replicates for both exposed and control fish. Samples were paired at random. One replicate per array
2010-05-18 | E-GEOD-19483 | biostudies-arrayexpress
Project description:The increasing global human population has been associated with the development of high-density urban communities. This has led to increase in fossil energy consumption and posed serious threats to the environment and human health. Organosulfur compounds found in crude oil and transportation fuels such as diesel have gained strong attention because they are hazardous to human and the ecosystem. Moreover, the sulfur oxide gases resulting from fuel combustion are a major cause of acid rain. Governments and environmental organizations worldwide have recognized the problem and implemented strict regulations and legislations that limit the amount of sulfur in diesel. Hydrodesulphurization (HDS) is commonly used by oil refineries to reduce sulfur content in refined fuels. However, HDS has many disadvantages. It is costly, environmentally polluting, and not sufficiently efficient. Accordingly, there has been increasing interest in the development of alternative desulfurization technologies to circumvent the problems associated with the conventional HDS. Biodesulfurization (BDS) has emerged as an alternative or a complement technology to overcome the drawbacks of the conventional HDS. BDS exploits the ability of dedicated microorganisms to remove sulfur from many organosulfur compounds that are commonly found in crude oil and refined fuels. As compared to thermochemical treatments like HDS, BDS is environmentally friendly, cost-effective and active towards organosulfur compounds that escape the conventional HDS. Nonetheless, lack of deep understanding of the physiology and metabolism, particularly sulfur metabolism, of biodesulfurizing microbes has impeded the development and implementation of a commercially viable BDS process. In this project, we apply metabolomics and proteomics to better understand the physiological adaptations and sulfur metabolism of in a model biodesulfurization-competent strain Rhodococcus qingshengii IGTS8.
2021-08-09 | PXD021362 | Pride
Project description:Biocatalytic upgrading of heavy crude oil using mixed cultures from oilfields
| PRJNA784175 | ENA