Project description:To assess the impact of surface water across the Hun River, several sampling sites located in the mainstream and the tributary were selected representative of pollution gradient and different pollution source. Male adult zebrafish were exposed to surface water from seven sites for 4 days. The obiectives of the study was to evaluate the ability of transcriptomic profiles exposed to surface water to determine the potential biological effects, to differentiate different pollution source, and to identify the toxic components.
Project description:To assess the impact of surface water across the Hun River, several sampling sites located in the mainstream and the tributary were selected representative of pollution gradient and different pollution source. Male adult zebrafish were exposed to surface water from seven sites for 4 days. The obiectives of the study was to evaluate the ability of transcriptomic profiles exposed to surface water to determine the potential biological effects, to differentiate different pollution source, and to identify the toxic components.
Project description:To assess the impact of surface water across the Hun River, several sampling sites located in the mainstream and the tributary were selected representative of pollution gradient and different pollution source. Human mesenchymal stem cells were exposed to organic extracts of surface water from six sites for 2 days. Microarrays were used to measure the gene expression. And the gene expression profiles were used to evaluate the ability of determine the potential biological effects, to differentiate different pollution source, and to identify the toxic components.
2018-06-01 | GSE110310 | GEO
Project description:Micro pollution control of water quality of water source reservoir
Project description:Despite the global importance of forests, it is virtually unknown how their soil microbial communities adapt at the phylogenetic and functional level to long term metal pollution. Studying twelve sites located along two distinct gradients of metal pollution in Southern Poland revealed that both community composition (via MiSeq Illumina sequencing of 16S rRNA genes) and functional gene potential (using GeoChip 4.2) were highly similar across the gradients despite drastically diverging metal contamination levels. Metal pollution level significantly impacted microbial community structure (p = 0.037), but not bacterial taxon richness. Metal pollution altered the relative abundance of specific bacterial taxa, including Acidobacteria, Actinobacteria, Bacteroidetes, Chloroflexi, Firmicutes, Planctomycetes and Proteobacteria. Also, a group of metal resistance genes showed significant correlations with metal concentrations in soil, although no clear impact of metal pollution levels on overall functional diversity and structure of microbial communities was observed. While screens of phylogenetic marker genes, such as 16S rRNA, provided only limited insight into resilience mechanisms, analysis of specific functional genes, e.g. involved in metal resistance, appeared to be a more promising strategy. This study showed that the effect of metal pollution on soil microbial communities was not straightforward, but could be filtered out from natural variation and habitat factors by multivariate statistical analysis and spatial sampling involving separate pollution gradients.
Project description:Nitrogen (N) fertilization is essential to maximize crop production. However, around half of the applied N is lost to the environment causing water and air pollution and contributing to climate change. Understanding the natural genetic and metabolic basis underlying plants N use efficiency is of great interest to reach an agriculture with less N demand and thus, more sustainable. The study of ammonium (NH4+) nutrition is of particular interest, because it mitigates N losses due to nitrate (NO3-) leaching or denitrification. In this work, we performed gene expression analysis in the root of the model plant for C3 grasses Brachypodiyum distachyon, reference accession Bd21, grown with exclusive NH4+ or NO3- supply.
Project description:Air pollution particulate matter <2.5 microns (PM2.5) is associated with poor respiratory outcomes. Mechanisms underlying PM2.5-induced lung pathobiology are poorly understood, but likely involve cellular and molecular changes to the airway epithelium. We extracted and chemically characterized the organic and water-soluble components of contemporary ambient air pollution PM2.5 samples. We then determined the whole transcriptome responses of human mucociliary airway epithelial cultures (n=12) to a dose series of PM2.5 extracts. We found PM2.5 organic, but not water-soluble, constituents elicited a potent, dose-dependent transcriptomic response from the mucociliary epithelium. Epithelial exposure to a moderate organic extract (OE) dose modified the expression of 424 genes, which included activation of aryl-hydrocarbon receptor (AHR) signaling and an interleukin-1 inflammatory program. We generated an OE response network composed of 8 metagroups, which exhibited high connectivity through the CYP1A1, IL1A, and IL1B genes. This OE exposure also robustly activated a mucus secretory expression program (>100 genes), which included transcriptional drivers of mucus metaplasia (SPDEF, FOXA3). Exposure to a higher OE dose modified the expression of 1,240 genes and further exacerbated expression responses observed at the moderate dose, including the mucus secretory program. Moreover, the higher OE dose significantly increased the MUC5AC/MUC5B gel-forming mucin expression ratio and strongly downregulated ciliated cell expression programs, including key ciliating cell transcription factors (FOXJ1, MCIDAS). Our results suggest organic chemicals in PM2.5 likely drive cellular remodeling of the airway epithelium, punctuated by mucus metaplasia and loss of ciliated cells. This epithelial remodeling may underlie poor respiratory outcomes associated with high PM2.5 exposure.
Project description:Traffic-related air pollution has been a common public health problem, which is associated with central nervous system dysfunction according to large-scale epidemiological studies. Current studies are mostly limited to artificial laboratory exposure environments and specific genetic mechanisms remain unclear. In the spring, we transported the aged mice from the laboratory to the 1-meter-high dry platform in the campus and tunnel at the same time. Aged mice were exposed form 7 am to 7 pm each day for 2, 4 and 12 weeks, respectively. Compared with the control group (in campus), the memory function of mice in the exposure group (in tunnel) was significantly impaired in Morris water maze. Traffic-related air pollution exposure increased the number of activated microglia in the hippocampal DG and CA1, and up-regulated mRNA expression of inflammatory factors IL-18, IL-1β, IL-6 and TNF-α. By screening the risk genes of Alzheimer’s disease, we found the mRNA and protein levels of ABCA7 were down-regulated and those of PYK2 were up-regulated in the dorsolateral prefrontal cortex (dPFC) of aged mice. The DNA methylation ratio increased in four CpG sites of abca7 promoter region and decreased in one CpG site of pyk2 promoter region, which were consistent with the altered expression of ABCA7 and PYK2. In conclusion, exposure to the real traffic environment impaired memory function and enhanced neuroinflammation of aged mice, which could be relevant to the alteration of ABCA7 and PYK2 gene expression. Our work provided a new and promising understanding of the pathological mechanisms of cognitive impairment caused by traffic-related air pollution.