Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1303677 | 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: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:Analysis of microbial gene expression in response to physical and chemical gradients forming in the Columbia River, estuary, plume and coastal ocean was done in the context of the environmental data base. Gene expression was analyzed for 2,234 individual genes that were selected from fully sequenced genomes of 246 prokaryotic species (bacteria and archaea) as related to the nitrogen metabolism and carbon fixation. Seasonal molecular portraits of differential gene expression in prokaryotic communities during river-to-ocean transition were created using freshwater baseline samples (268, 270, 347, 002, 006, 207, 212). Total RNA was isolated from 64 filtered environmental water samples collected in the Columbia River coastal margin during 4 research cruises (14 from August, 2007; 17 from November, 2007; 18 from April, 2008; and 16 from June, 2008), and analyzed using microarray hybridization with the CombiMatrix 4X2K format. Microarray targets were prepared by reverse transcription of total RNA into fluorescently labeled cDNA. All samples were hybridized in duplicate, except samples 212 and 310 (hybridized in triplicate) and samples 336, 339, 50, 152, 157, and 199 (hybridized once). Sample location codes: number shows distance from the coast in km; CR, Columbia River transect in the plume and coastal ocean; NH, Newport Hydroline transect in the coastal ocean at Newport, Oregon; AST and HAM, Columbia River estuary locations near Astoria (river mile 7-9) and Hammond (river mile 5), respectively; TID, Columbia River estuary locations in the tidal basin (river mile 22-23); BA, river location at Beaver Army Dock (river mile 53) near Quincy, Oregon; UP, river location at mile 74.
2010-09-10 | E-GEOD-18303 | biostudies-arrayexpress
Project description:To investigate mechanisms of metal tolerance in the gill, gut, kidney and liver of brown trout inhabiting the river Hayle (highly metal contaminated) compared with a control population from the river Teign.
2014-06-01 | GSE45637 | GEO
Project description:Globally, multiple heavy metal contamination is an increasingly common problem. As heavy metals have the potential to disrupt microbially-mediated biogeochemical cycling, it is critical to understand their impact on microbial physiology. However, systems-level studies on the effects of a combination of heavy metals on bacteria are lacking. Here, we use a native Bacillus cereus isolate from the subsurface of the Oak Ridge Reservation (ORR; Oak Ridge, TN, USA) subsurface— representing a highly abundant species at the site— to assess the combined impact of eight metal contaminants. Using this metal mixture and individual metals, all at concentrations based on the ORR site geochemistry, we performed growth experiments and proteomic analyses of the B. cereus strain, in combination with targeted MS-based metabolomics and gene expression profiling. We found that the combination of eight metals impacts cell physiology in a manner that could not have been predicted from summing phenotypic responses to the individual metals. Specifically, exposure to the metal mixture elicited global iron starvation responses not observed in any of the individual metal treatments. As nitrate is also a significant contaminant at the ORR site and nitrate and nitrite reductases are iron-containing enzymes, we also examined the effects of the metal mixture on reduction of nitrogen oxides. We found that the metal mixture inhibits the activity of these enzymes through a combination of direct enzymatic damage and post-transcriptional and post-translational regulation. Altogether, these data suggest that metal mixture studies are critical for understanding how multiple rather than individual metals influence microbial processes in the environment.
2022-09-19 | PXD035730 | Pride
Project description:Analysis of microbial gene expression in response to physical and chemical gradients forming in the Columbia River, estuary, plume and coastal ocean was done in the context of the environmental data base. Gene expression was analyzed for 2,234 individual genes that were selected from fully sequenced genomes of 246 prokaryotic species (bacteria and archaea) as related to the nitrogen metabolism and carbon fixation. Seasonal molecular portraits of differential gene expression in prokaryotic communities during river-to-ocean transition were created using freshwater baseline samples (268, 270, 347, 002, 006, 207, 212).
2010-09-10 | GSE18303 | GEO
Project description:Coal-fired power plant is a major method of electricity generation worldwide with serious concerns relating to air pollution. In recent years, fly ash from coal-fired power plants has become a major target of pollution control by worldwide regulatory agencies. In this present study, fly ash particulate matter (PM) obtained from the electrostatic precipitator of Mae Moh Coal-fired Power Plant (Lampang, Thailand) was selected as a model for determination of physicochemical characteristics and toxicological profiles in mice. The average size of the fly ash PM was 4.29 ± 1.85 µm as determined by electron microscopy. Major heavy metal was iron at 101,067.31 ± 8,246.12 mg/kg as detected by ICPMS. Acenaphthene was the most abundant polyaromatic hydrocarbon at 40.77 ± 0.003 mg/kg as analyzed by GCMS. The toxicological profiles of the characterized fly ash PM were conducted in Balb/c mice by intratracheal instillation at 1 and 10 mg/kg/day for 7 days, compared to vehicle as negative control and standard PM 2.5 as positive control. The fly ash PM and the standard PM induced significant pulmonary inflammation in mice lungs compared to vehicle control. In addition, molecular toxicology of mice lungs investigated by proteomics demonstrated 3 inflammation associated pathways, which include leukocyte transendothelial migration, phagosome, and neutrophil extracellular trap formation. Furthermore, only high dose (10 mg/kg/day) standard PM and high dose fly ash PM showed high expression of NCF2, which potentially promotes cancer in the long run. This study is the first to report on the physicochemical characterization, histopathology, and proteomic-associated toxicological profiles of the fly ash PM obtained from the largest coal-fired power plant in Thailand. Information obtained from this study is useful for academic researchers, electricity enterprises, and policymakers to develop appropriate strategies to manage air pollution from coal-fired power plants worldwide.
2025-08-21 | PXD058082 | Pride