Ontology highlight
ABSTRACT:
PROVIDER: PRJNA675504 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR13011700_1.fastq.gz | Fastqsanger.gz | |||
| SRR13011700_2.fastq.gz | Fastqsanger.gz | |||
| SRR13011701_1.fastq.gz | Fastqsanger.gz | |||
| SRR13011701_2.fastq.gz | Fastqsanger.gz | |||
| SRR13011702_1.fastq.gz | Fastqsanger.gz |
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Project description:Toxic compounds such as organochlorine pesticides (OCs), polychlorinated biphenyls (PCBs), and polybrominated diphenyl ether flame retardants (PBDEs) have been detected in fish, birds, and aquatic mammals that live in the Columbia River or use the river as a food source. We developed a custom microarray for largescale suckers (Catostomus macrocheilus) and used it to investigate the molecular effects of contaminant exposure on wild fish in the Columbia River. Using Significance Analysis of Microarrays (SAM) we identified 72 probes representing 69 unique genes with expression patterns that correlated with hepatic tissue levels of OCs, PCBs, or PBDEs. These genes were involved in many biological processes previously shown to respond to contaminant exposure, including drug and lipid metabolism, apoptosis, cellular transport, oxidative stress, and cellular chaperone function. The relation between gene expression and contaminant burden suggests that these genes may respond to environmental contaminant exposure and are promising candidates for further field and laboratory studies to develop biomarkers for monitoring exposure of wild fish to contaminant mixtures found in the Columbia River Basin
2013-12-04 | GSE41016 | 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.
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Project description:Durum wheat (Triticum turgidum L. ssp. durum) is a major cereal and staple in the semi-arid regions of the Mediterranean Basin. After assembling the Platinum-quality reference genome for Svevo durum wheat cultivar, coupling PACBIO HiFi long read 35X sequencing with BIONANO Optical Mapping and Hi-C conformation capture, a complete and accurate gene annotation was then obtained by coupling Illumina RNASeq and Nanopore Isoseq sequencing from multiple tissues. Gene expression was investigated in spikelets inoculated with Fusarium graminearum and in not infected controls to profile the transcriptional regulation of Fusarium head blight infection.
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Project description:Throughout prehistory, human groups inhabited the Scheldt basin in northern Belgium, though few prehistoric human remains have been found there compared to the Meuse basin, where many caves contain human remains from various prehistoric phases. The limited preservation in the Scheldt basin is due to the region's high soil acidity, decalcification, and dryness, which degrade bones. The oldest known human bone is a clavicle dated to around 5790 years ago. Until recently, little effort had been made to identify human remains in the Scheldt basin. However, a recent survey identified four additional sites with prehistoric human remains. The paper aims to document these findings and explore their radiocarbon dates to better understand the region’s occupation history. The scarcity of remains before the Neolithic is attributed to taphonomic factors, and the lack of Late Neolithic remains might indicate a population decline, though flint mines and Meuse basin burials suggest otherwise. Another possibility is a shift in burial practices, with collective burials in megaliths or caves becoming common in western Europe during this time, unsuitable for the wet floodplains of the Scheldt basin. Most of the human bones discovered in the Scheldt basin were found in secondary contexts, likely displaced by fluvial activity. The bones were retrieved from former river channels and gullies, complicating interpretations of whether they originated from primary graves or were part of secondary burial practices. The absence of defleshing marks suggests the bones were not part of secondary burial rites, pointing instead to the erosion of primary graves from earlier settlements. The presence of settlement debris, including pottery and stone tools, supports this theory
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Project description:Durum wheat (Triticum turgidum L. ssp. durum) is a major cereal and staple in the semi-arid regions of the Mediterranean Basin. After assembling the Platinum-quality reference genome for Svevo durum wheat cultivar, coupling PACBIO HiFi long read 35X sequencing with BIONANO Optical Mapping and Hi-C conformation capture, a complete and accurate gene annotation was then obtained by coupling Illumina RNASeq and Nanopore Isoseq sequencing from multiple tissues. The gene expression was investigated in root and shoot samples collected from plants grown under control condition or subjected to heat, salinity and osmotic stresses or to nitrogen application to create a transcriptional atlas of durum wheat response to abiotic stresses.
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Project description:Toxic compounds such as organochlorine pesticides (OCs), polychlorinated biphenyls (PCBs), and polybrominated diphenyl ether flame retardants (PBDEs) have been detected in fish, birds, and aquatic mammals that live in the Columbia River or use the river as a food source. We developed a custom microarray for largescale suckers (Catostomus macrocheilus) and used it to investigate the molecular effects of contaminant exposure on wild fish in the Columbia River. Using Significance Analysis of Microarrays (SAM) we identified 72 probes representing 69 unique genes with expression patterns that correlated with hepatic tissue levels of OCs, PCBs, or PBDEs. These genes were involved in many biological processes previously shown to respond to contaminant exposure, including drug and lipid metabolism, apoptosis, cellular transport, oxidative stress, and cellular chaperone function. The relation between gene expression and contaminant burden suggests that these genes may respond to environmental contaminant exposure and are promising candidates for further field and laboratory studies to develop biomarkers for monitoring exposure of wild fish to contaminant mixtures found in the Columbia River Basin Correlation between contaminant exposure and gene expression profiles of wild largescale suckers collected from three different sites in the Columbia River. At each site, liver samples of six to eight different fish were analyzed using microarrays.
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