Ontology highlight
ABSTRACT:
PROVIDER: PRJEB20093 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The increase in human population and urbanization are resulting in an increase in the volume of wastewater and urban runoff effluents entering natural ecosystems. These effluents may contain multiple pollutants to which the biological response of aquatic organisms is still poorly understood mainly due to mixture toxicity and interactions with other environmental factors. In this context, RNA sequencing was used to assess the impact of a chronic exposure to wastewater treatment plant and stormwater effluents at the whole-transcriptome level and evaluate the potential physiological outcomes in the Asian clam Corbicula fluminea. We de-novo assembled a transcriptome from C. fluminea digestive gland and identified a set of 3,181 transcripts with altered abundance in response to water quality. The largest differences in transcriptomic profiles were observed between C. fluminea from the reference site and those exposed to wastewater treatment plant effluents. On both anthropogenically impacted sites, most differentially expressed transcripts were involved in signaling pathways in relation to energy metabolism such as mTOR and FoxO, suggesting an energy/nutrient deficit and hypoxic conditions. These conditions were likely responsible for damages to proteins and transcripts in response to wastewater treatment effluents whereas exposure to urban runoff might result in immune and endocrine disruptions. In absence of comprehensive chemical characterization, the RNAseq approach could provide information regarding the mode of action of pollutants and then be useful for the identification of which parameters must be studied at higher integration level in order to diagnose sites where the presence of complex and variable mixtures of chemicals is suspected.
2018-08-28 | GSE104933 | GEO
Project description:In this study, we exposed Caenorhabditis elegans wild types N2 to water collected from six sources in the Dutch village Sneek. The sources were: wastewater from a hospital, a community (80 households), a nursing home, influent into the local municipal wastewater treatment plant, effluent of the wastewater treatment plant, and surface water samples. The goal of the experiment was to determine if C. elegans can be used to identify pollutants in the water by transcriptional profiling. Age synchronized worms at developmental L4 larval stage were exposed to treatment for 24 hours. After flash freezing the samples, RNA was isolated, labeled and hybridized on oligo microarray (Agilent) slides.
2022-12-03 | E-MTAB-11260 | biostudies-arrayexpress
Project description:Three surface waters in Gainesville, Florida were used in a 48 hour whole effluents exposure to assess gene expression profiles of male fathead minnow liver. Microarray analysis was used to determine changes in gene expression of exposed fish to waters from a site downstream of a wastewater treatment plant (streamwater), a wastewater treatment plant (wastewater), and a lake (stormwater). Differences in gene expression between fish exposed to collected waters and controls were observed. Number of altered genes and biological processes were 1028 and 18 for stormwater; 787 and 19 for streamwater; and: 575 and 12 for wastewater. In general, the effects observed in all exposed fish were related with fatty acid metabolism, DNA repair, oxidation-reduction process, cell wall catabolic process and apoptosis. All exposed fish showed altered expression of genes related with DNA damage repair. In particular fish exposed to stormwater and streamwater showed downregulation of several key intermediates transcripts of cholesterol. The presence and environmental persistence of perfluorinated chemicals (PFCs) in these waters, the resemblance in known effects on transcripts with those found in this study, suggest that the set of genes differentially regulated in fathead minnows after 48 hours of exposure may be attributed to exposure to PFCs.
2012-04-25 | GSE37550 | GEO
Project description:Bioreactor treating sulfate wastewater Metagenome
| PRJNA431585 | ENA
Project description:Three surface waters in Gainesville, Florida were used in a 48 hour whole effluents exposure to assess gene expression profiles of male fathead minnow liver. Microarray analysis was used to determine changes in gene expression of exposed fish to waters from a site downstream of a wastewater treatment plant (streamwater), a wastewater treatment plant (wastewater), and a lake (stormwater). Differences in gene expression between fish exposed to collected waters and controls were observed. Number of altered genes and biological processes were 1028 and 18 for stormwater; 787 and 19 for streamwater; and: 575 and 12 for wastewater. In general, the effects observed in all exposed fish were related with fatty acid metabolism, DNA repair, oxidation-reduction process, cell wall catabolic process and apoptosis. All exposed fish showed altered expression of genes related with DNA damage repair. In particular fish exposed to stormwater and streamwater showed downregulation of several key intermediates transcripts of cholesterol. The presence and environmental persistence of perfluorinated chemicals (PFCs) in these waters, the resemblance in known effects on transcripts with those found in this study, suggest that the set of genes differentially regulated in fathead minnows after 48 hours of exposure may be attributed to exposure to PFCs. Three surface water sites were chosen for effluent collection in Gainesville, Florida: A lake (stormwater), surface water downstream of a wastewater treatment plant (streamwater), and a wastewater treatment plant effluent used for landscaping irrigation (wastewater). Water from each site was collected two days prior to the fish exposure experiment using Chemfluor ® tubing and a 120 liters steel barrels coated with polyester resin (gel coat) to avoid cross-contamination. Three barrels for each effluent were collected during day 1. Water from the barrel was transported to the laboratory and pumped into four fiberglass cylinders in the aquatic toxicology facility. Water from each cylinder was then pumped into four replicate aquariums per treatment and kept for 1 day without fish (pre-treatment). On day 2, four male fathead minnows from a common tank were transferred to each replicate aquarium and kept for 48 hours, with one 75% water change after first 24 hours. The exposure system consisted of 40 L glass aquaria. Each exposure was conducted in quadruplicate and each aquarium contained the four male fish in 25 L of treatment water . The water used in the control treatment was carbon filtered, dechlorinated tap water. The positions of the treatment tanks were randomized and test initiation times were staggered to ensure an exposure/sampling interval of 48 h. The fish were not fed during the experiment. The temperature range of the water was 24-26 °C with a photoperiod of 16 h light: 8 h dark. Liver was isolate from 4 males indviduals for each treatment except for control group (3 individuals).
2012-04-24 | E-GEOD-37550 | biostudies-arrayexpress
Project description:This model is from the article:
A quantitative comparison of Calvin–Benson cycle models
Anne Arnold, Zoran Nikoloski Trends in Plant Science
2011 Oct 14. 22001849
,
Abstract:
The Calvin-Benson cycle (CBC) provides the precursors for biomass synthesis necessary for plant growth. The dynamic behavior and yield of the CBC depend on the environmental conditions and regulation of the cellular state. Accurate quantitative models hold the promise of identifying the key determinants of the tightly regulated CBC function and their effects on the responses in future climates. We provide an integrative analysis of the largest compendium of existing models for photosynthetic processes. Based on the proposed ranking, our framework facilitates the discovery of best-performing models with regard to metabolomics data and of candidates for metabolic engineering.
Note:
Model of the Calvin cycle with focus on the RuBisCO reaction by Damour and Urban (2007, [for PDF click here]
).
The parameter values are partly taken from Farquhar et al. (1980, DOI:10.1007/BF00386231
) and Urban et al. (2003, DOI:10.1093/treephys/23.5.289
). The initial metabolite values are chosen from the data set of Zhu et al. (2007, DOI:10.1104/pp.107.103713
). A detailed description of all modifications is given in the model described by Arnold and Nikoloski (2011, PMID:22001849
.
2024-09-02 | BIOMD0000000387 | BioModels