Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1118251 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR29234900.fastq.gz | Fastqsanger.gz | |||
| SRR29235000.fastq.gz | Fastqsanger.gz | |||
| SRR29235100.fastq.gz | Fastqsanger.gz | |||
| SRR29235001.fastq.gz | Fastqsanger.gz |
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Project description:As part of the Great Lakes Restoration Initiative, a series of chemical monitoring and surveillance efforts have detected approximately 550 chemicals in Great Lakes tributaries. Among these, there were 140 chemicals for which no empirical toxicity data were available to support prioritization. The aim of the present study was to generate transcriptomic points of departure (tPODs) for 10 of these compounds and demonstrate how they could be applied in a screening-level prioritization. Organisms representing three different trophic levels of the aquatic food-web (Pimephales promelas – secondary consumer, Daphnia magna-primary consumer, and R. subcapitata-primary producer). were exposed for 24 h to a ½-log dilution series of nominal exposure concentrations typically ranging from 66.7 to 0.021 µM of each chemical. In addition to observations of apical effects such as survival and morphology, whole body transcriptomic responses to each chemical were evaluated with targeted analysis using TempO-seq for P. promelas and D. magna and non-targeted full RNA-seq for R. subcapitata. Benchmark concentrations (BMCs) were calculated for each gene showing a concentration-dependent expression pattern. The tPOD for each chemical-species combination was defined as the 10th percentile of the BMCs. The tPODs ranged from 0.18 to 10.8 µM for P. promelas and 0.32 to 29 µM for D. magna, with the most potent of the chemicals tested being fipronil carboxamide. For R. subcapitata, the tPODs ranged from 0.04 to 1.77 µM, with gabapentin as the most potent chemical tested. Empirically derived tPODs from these data poor chemicals, as well as tPODs from previously tested data rich chemicals, were compared with concentrations detected in the Great Lakes basin. This work demonstrates the potential utility of emerging ecological high-throughput transcriptomics assays to support timely screening and prioritization of data poor environmental contaminants.
2025-06-06 | GSE268998 | GEO
Project description:As part of the Great Lakes Restoration Initiative, a series of chemical monitoring and surveillance efforts have detected approximately 550 chemicals in Great Lakes tributaries. Among these, there were 140 chemicals for which no empirical toxicity data were available to support prioritization. The aim of the present study was to generate transcriptomic points of departure (tPODs) for 10 of these compounds and demonstrate how they could be applied in a screening-level prioritization. Organisms representing three different trophic levels of the aquatic food-web (Pimephales promelas – secondary consumer, Daphnia magna-primary consumer, and R. subcapitata-primary producer). were exposed for 24 h to a ½-log dilution series of nominal exposure concentrations typically ranging from 66.7 to 0.021 µM of each chemical. In addition to observations of apical effects such as survival and morphology, whole body transcriptomic responses to each chemical were evaluated with targeted analysis using TempO-seq for P. promelas and D. magna and non-targeted full RNA-seq for R. subcapitata. Benchmark concentrations (BMCs) were calculated for each gene showing a concentration-dependent expression pattern. The tPOD for each chemical-species combination was defined as the 10th percentile of the BMCs. The tPODs ranged from 0.18 to 10.8 µM for P. promelas and 0.32 to 29 µM for D. magna, with the most potent of the chemicals tested being fipronil carboxamide. For R. subcapitata, the tPODs ranged from 0.04 to 1.77 µM, with gabapentin as the most potent chemical tested. Empirically derived tPODs from these data poor chemicals, as well as tPODs from previously tested data rich chemicals, were compared with concentrations detected in the Great Lakes basin. This work demonstrates the potential utility of emerging ecological high-throughput transcriptomics assays to support timely screening and prioritization of data poor environmental contaminants.
2025-06-06 | GSE269991 | GEO
Project description:Contaminants of Emerging Concern (CECs) can be measured in waters across the United States, including the tributaries of the Great Lakes. The extent to which these contaminants affect gene expression in aquatic wildlife is unclear. This dataset presents the full hepatic transcriptomes of laboratory reared fathead minnows (Pimephales promelas) caged at multiple sites within the Milwaukee Estuary area of concern and control sites. Following 4 days of in situ exposure, liver tissue was removed from males at each site for RNA extraction and sequencing, yielding a total of 116 samples from which libraries were prepared, pooled, and sequenced. For each exposure site, 179 chemical analytes were also assessed. These data were created with the intention of inviting research on possible transcriptomic changes observed in aquatic species exposed to CECs. Access to both full sequencing reads of animal samples as well as water contaminant data across multiple Great Lakes sites will allow others to explore the health of these ecosystems, in support of the aims of the Great Lakes Restoration Initiative.
2020-01-31 | GSE144301 | GEO
Project description:Today, many contaminants of emerging concern can be measured in waters across the United States, including the tributaries of the Great Lakes. However, just because the chemicals can be measured does not mean that they necessarily result in harm to fish and other aquatic species. Complicating risk assessment in these waters is the fact that aquatic species are encountering the chemicals as mixtures, which may have additive or synergistic risks that cannot be calculated using single chemical hazard and concentration-response information. We developed an in vitro effects-based screening approach to help us predict potential liver toxicity and cancer in aquatic organisms using water from specific Great Lakes tributaries: St. Louis River (MN), Bad River (WI), Fox River (WI), Manitowoc River (WI), Milwaukee River (WI), Indiana Harbor Canal (IN), St. Joseph River (MI), Grand River (MI), Clinton River (MI), River Rouge (MI), Maumee River (OH), Vermilion River (OH), Cuyahoga River (OH), Genesee River (NY), and Oswego River (NY). We exposed HepG2 cells for 48hrs to medium spiked with either field collected water (final concentration of environmental samples in the exposure medium were 75% of the field-collected water samples) or purified water. Using a deep neural network we clustered our collection sites from each tributary based on water chemistry. We also performed high throughput transcriptomics on the RNA obtained from the HepG2 cells. We used the transcriptomics data with our Bayesian Inferene for Sustance and Chemical Toxicity (BISCT) Bayesian Network for Steatosis to predict the probability of the field samples yielding a gene expression pattern consistent with predicting steatosis as an outcome. Surprisingly, we found that the probability of steatosis did not correspond to the surface water chemistry clustering. Our analysis suggests that chemical signatures are not informative in predicting biological effects. Furthermore, recent reports published after we obtained our samples, suggest that chemical levels in the sediment may be more relevant for predicting potential biological effects in the fish species developing tumors in the Great Lakes basin.
2022-12-01 | GSE146903 | GEO
Project description:Traditional toxicity testing has been unable to keep pace with the introduction of new chemicals into commerce. Consequently, there are limited or no toxicity data upon which to base a risk assessment for many chemicals to which fish and wildlife may be exposed. Per- and polyfluoroalkyl substances (PFAS) are emblematic of this issue in that most the ecological hazards of most PFAS remain uncharacterized. The present study employed a high throughput assay to identify the concentration at which 20 PFAS, with diverse properties, elicited a concerted gene expression response in larval fathead minnows (Pimephales promelas, 5-6 days post-fertilization) exposed for 24 h. Based on a reduced transcriptome approach that measured whole body expression of 1832 genes, the median transcriptomic point of departure (tPOD) for the 20 PFAS tested was 10 µM. Longer chain carboxylic acids (12-13 C-F) and an eight C-F di-alcohol, N-alkyl sulfonamide, and telomer sulfonic acid were among the most potent PFAS, eliciting gene expression responses at concentrations below 1 µM. With a few exceptions, larval fathead minnow tPODs were concordant with those based on whole transcriptome response in human cell lines. However, larval fathead minnow tPODs were often greater than those for Daphnia magna exposed to the same PFAS. The tPODs overlapped concentrations at which other sub-lethal effects have been reported in fish (available for 10 PFAS; including a range of species, life stages, and study designs). Nonetheless, fathead minnow tPODs were all orders of magnitude higher than aqueous PFAS concentrations detected in tributaries of the North American Great Lakes suggesting a substantial margin of safety in those systems, even for PFAS with significant potential for bioaccumulation. Overall, results broadly support the use of a fathead minnow larval transcriptomics assay to derive screening level potency estimates for use in ecological risk-based prioritization. Traditional toxicity testing has been unable to keep pace with the introduction of new chemicals into commerce. Consequently, there are limited or no toxicity data upon which to base a risk assessment for many chemicals to which fish and wildlife may be exposed. Per- and polyfluoroalkyl substances (PFAS) are emblematic of this issue in that most the ecological hazards of most PFAS remain uncharacterized. The present study employed a high throughput assay to identify the concentration at which 20 PFAS, with diverse properties, elicited a concerted gene expression response in larval fathead minnows (Pimephales promelas, 5-6 days post-fertilization) exposed for 24 h. Based on a reduced transcriptome approach that measured whole body expression of 1832 genes, the median transcriptomic point of departure (tPOD) for the 20 PFAS tested was 10 µM. Longer chain carboxylic acids (12-13 C-F) and an eight C-F di-alcohol, N-alkyl sulfonamide, and telomer sulfonic acid were among the most potent PFAS, eliciting gene expression responses at concentrations below 1 µM. With a few exceptions, larval fathead minnow tPODs were concordant with those based on whole transcriptome response in human cell lines. However, larval fathead minnow tPODs were often greater than those for Daphnia magna exposed to the same PFAS. The tPODs overlapped concentrations at which other sub-lethal effects have been reported in fish (available for 10 PFAS; including a range of species, life stages, and study designs). Nonetheless, fathead minnow tPODs were all orders of magnitude higher than aqueous PFAS concentrations detected in tributaries of the North American Great Lakes suggesting a substantial margin of safety in those systems, even for PFAS with significant potential for bioaccumulation. Overall, results broadly support the use of a fathead minnow larval transcriptomics assay to derive screening level potency estimates for use in ecological risk-based prioritization.
2024-10-23 | GSE246120 | GEO
Project description:The consistent cold temperatures and large amount of precipitation in the Olympic and Cascade ranges of Washington State are thought to increase atmospheric deposition of contaminants in these high elevation locations. Total mercury and 28 organochlorine compounds were measured in composite, whole fish samples collected from 14 remote lakes in the Olympic, Mt. Rainer, and North Cascades National Parks. Mercury was detected in fish from all lakes sampled and ranged in concentration from 17 to 262 ug/kg wet weight. Only two organochlorines, total polychlorinated biphenyls (tPCB) and dichlorodiphenyldichloroethylene (DDE), were detected in fish tissues (concentrations <25 ug/kg wet weight). No organochlorines were detected in sediments (MRL ≈1-5 ug/kg), while median total and methyl mercury in sediments were 30.4 and 0.34 ug/kg (dry weight), respectively. Using a targeted rainbow trout cDNA microarray with known genes, we detected significant differences in liver transcriptional responses, including metabolic, endocrine, and immune-related genes, in fish collected from a contaminated lake compared to a lake with a lower contaminant load. Overall, our results suggest that local urban areas are contributing to the observed contaminant patterns, while the transcriptional changes point to a biological response associated with exposure to these contaminants in fish. Specifically, the gene expression pattern leads us to hypothesize a role for mercury in disrupting the metabolic and reproductive pathways in fish from high elevation lakes in western Washington. Keywords: High altitude lakes, mercury, salmonids, organochlorines
2007-05-01 | GSE6886 | GEO
Project description:Effects-based Monitoring of Contaminants of Emerging Concern in Great Lakes Tributaries: Calculating the Risk of Fish Developing Liver Toxicity and Cancer
| PRJNA612333 | ENA
Project description:Per- and polyfluoroalkyl substances (PFAS) represent a large group of contaminants of concern based on their widespread use, distribution and persistence in the environment, and potential toxicity. Many of the traditional models for estimating toxicity, bioaccumulation, and other relevant toxicological properties are not well suited for PFAS. Consequently, there is a need to generate hazard information for a large number of PFAS in an efficient and cost-effective manner. In the present study, Daphnia magna were exposed to multiple concentrations of 22 different PFAS for 24 h, in a 96-well plate format. Following exposure, whole body RNA was extracted and pooled extracts, each representing five exposed individuals, were subjected to RNA sequencing. Following analytical measurements to verify PFAS exposure concentrations in-well, and quality control on processed cDNA libraries for sequencing, concentration-response modeling was applied to the data sets for 18 of the tested compounds, and the concentration at which a concerted molecular response occurred (transcriptomic point of departure; tPOD) was calculated. The tPODs, based on average measured concentration of PFAS in the exposure wells, generally ranged from 0.03-0.58 µM (9.9-350 µg/L; interquartile range). In most cases, these concentrations were two orders of magnitude lower than similarly calculated tPODs for human cell lines exposed to PFAS. They were also lower than apical effect concentrations reported for seven PFAS for which some crustacean or invertebrate toxicity data were available, although there were a few exceptions. However, despite being lower than most other available hazard benchmarks, the Daphnia magna tPODs were, on average, four orders of magnitude greater than the maximum aqueous concentrations of PFAS measured in Great Lakes tributaries. Overall, this high throughput transcriptomics assay with Daphnia magna holds promise as a component of a tiered hazard evaluation strategy employing new approach methodologies.
2024-02-22 | GSE245268 | GEO
Project description:Great Lakes targeted amplicon sequencing
| PRJNA217461 | ENA