Project description:The aim of present study is to identify and quantify proteins involved in the events of fertilization and early embryo development using a label-free protein quantification method in rainbow trout (Oncorhynchus mykiss) as an economically important fish species in aquaculture.
Project description:A rapid decline in temperature poses a major challenge for poikilothermic fish. The gene expression of rainbow trout Oncorhynchus mykiss having undergone such a cold shock (0 °C) and a control (5 °C) were compared in a microarray-based study.
Project description:Traditional biomarkers for hydrocarbon exposure are not induced by all petroleum substances. The objective of this study was to determine if exposure to a crude oil and different refined oils would generate a common hydrocarbon-specific response in gene expression profiles that could be used as generic biomarkers of hydrocarbon exposure. Juvenile rainbow trout (Oncorhynchus mykiss) were exposed to the water accommodated fraction (WAF) of either kerosene, gas oil, heavy fuel oil, or crude oil for 96 hours. Tissue was collected for RNA extraction and microarray analysis. Exposure to each WAF resulted in a different list of differentially regulated genes, with few genes in common across treatments. Exposure to crude oil WAF changed the expression of genes including CYP1A and GST with known roles in detoxification pathways. These gene expression profiles were compared to others from previous experiments which used a diverse suite of toxicants. Clustering algorithms successfully i dentified gene expression profiles resulting from hydrocarbon exposure. These preliminary analyses highlight the difficulties of using single genes as diagnostic of petroleum hydrocarbon exposures. Further work is needed to determine if multivariate transcriptomic-based biomarkers may be a more effective tool than single gene studies for exposure monitoring of different oils. Two channel experiment; control versus exposed (samples were time matched). 3 biological replicates, three technical replicates for both exposed and control fish. Samples were paired at random. One replicate per array
Project description:Stocking density is considered as a key factor determining the productivity of fish aquaculture systems. The transcriptomic response to crowding stress is, however, still poorly investigated. We aimed at the identification of potential biomarker genes via microarray analyses to get insight into molecular pathways modulated through density-induced stress in farmed rainbow trout Oncorhynchus mykiss. Transcriptome profiling in liver, kidney, and gills was complemented with behaviarol observation and analysis of classical plasma parameters. Individuals of two trout strains were exposed for eight days to definite stocking densities, 1 kg/m³ (low density); 10 kg/m³ (moderate); 18 kg/m³ (elevated); and 35 kg/m³ (high). Whereas stocking density had no significant effect on cortisol levels, plasma glucose levels were elevated in trout kept at high density. Pathway enrichment analyses confirmed the upregulation of HIF1a signaling in liver contributing to glucose homeostasis during stress conditions, while mTOR and PI3K/AKT signaling pathways were downregulated. Further perturbed hepatic pathways were involved in protein ubiquitination and the biosynthesis of cholesterol, retinol and glutathione. Three stocking density conditions were investigated: an uncrowded âmoderateâ density (MD: 10 kg trout/m³) , an elevated density (ED: 18 kg/m³ ), and high density (HD: 35 kg/m³). The experiment was performed twice with two strains of Steelhead rainbow trout (Troutlodge and Born trout), randomly assigned to identical glass tanks with MD (30 and 34 individuals), ED (60 and 64 individuals), and HD (120 and 140 individuals). Trout were sampled 8 d after experimental onset.
Project description:To study short term (48h) hepatic transcriptional changes and identify potential modes of action in primary rainbow trout (Oncorhynchus mykiss) hepatocytes exposed to 0.03, 0.3, 3 and 30nM EE2. The transcriptional gene expression analysis involved a high density (60k) custom designed oligonucleotide salmonid microarray in combination with quantitative real-time polymerase chain reaction (qPCR). Differently expressed genes (DEGs) were obtained after application of a one-way analysis of variance (ANOVA) and Tukey posthoc test. Enrichment analysis was performed based on Gene Ontology (GO) to determine the biological roles of the DEGs. The obtained DEGs were further mapped against mammalian orthologs. The successfully mapped DEGs were further subjected to a gene network analysis based on well-curated mammalian protein -protein interactions, followed by a canonical and toxicity pathway analysis. The pathways and network analysis were performed in order to link DEGs to specific and toxicological/biological functions. Isolated primary rainbow trout hepatocytes were exposed to 0.03-30nM ethynylestradiol for 48h. The cells were sampled and used for gene expression analysis. A total of 4 biological replicates were analyzed for each concentration, including solvent (DMSO) control.
Project description:Stocking density is considered as a key factor determining the productivity of fish aquaculture systems. The transcriptomic response to crowding stress is, however, still poorly investigated. We aimed at the identification of potential biomarker genes via microarray analyses to get insight into molecular pathways modulated through density-induced stress in farmed rainbow trout Oncorhynchus mykiss. Transcriptome profiling in liver, kidney, and gills was complemented with behaviarol observation and analysis of classical plasma parameters. Individuals of two trout strains were exposed for eight days to definite stocking densities, 1 kg/m³ (low density); 10 kg/m³ (moderate); 18 kg/m³ (elevated); and 35 kg/m³ (high). Whereas stocking density had no significant effect on cortisol levels, plasma glucose levels were elevated in trout kept at high density. Pathway enrichment analyses confirmed the upregulation of HIF1a signaling in liver contributing to glucose homeostasis during stress conditions, while mTOR and PI3K/AKT signaling pathways were downregulated. Further perturbed hepatic pathways were involved in protein ubiquitination and the biosynthesis of cholesterol, retinol and glutathione.
Project description:The objective of this study was to identify and quantify proteomic profiles of intestine of rainbow trout (Oncorhynchus mykiss). Specific pathogen free rainbow trout (mean length 15 ± 1 cm) were maintained in recirculating de-chlorinated water at 19±1 °C. Prior to the experiment, fish were distributed between aquaria. The test groups were infected by immersion of Yersinia ruckeri CSF007-82 (biotype 1) and 7959-11 (biotype 2) strains. The control group was immersed similar with sterile broth medium. Fish were anaesthetized and sampled aseptically at different time points. Each intestine was washed three times with sterile phosphate-buffered saline containing a cocktail of mammalian protease inhibitors. Intestinal mucosa was scraped with a sterile large scalpel blade. Intestinal samples were snap-frozen in liquid nitrogen and stored at –80 °C.
Project description:Traditional biomarkers for hydrocarbon exposure are not induced by all petroleum substances. The objective of this study was to determine if exposure to a crude oil and different refined oils would generate a common hydrocarbon-specific response in gene expression profiles that could be used as generic biomarkers of hydrocarbon exposure. Juvenile rainbow trout (Oncorhynchus mykiss) were exposed to the water accommodated fraction (WAF) of either kerosene, gas oil, heavy fuel oil, or crude oil for 96 hours. Tissue was collected for RNA extraction and microarray analysis. Exposure to each WAF resulted in a different list of differentially regulated genes, with few genes in common across treatments. Exposure to crude oil WAF changed the expression of genes including CYP1A and GST with known roles in detoxification pathways. These gene expression profiles were compared to others from previous experiments which used a diverse suite of toxicants. Clustering algorithms successfully i dentified gene expression profiles resulting from hydrocarbon exposure. These preliminary analyses highlight the difficulties of using single genes as diagnostic of petroleum hydrocarbon exposures. Further work is needed to determine if multivariate transcriptomic-based biomarkers may be a more effective tool than single gene studies for exposure monitoring of different oils.
Project description:The hypoxia frequently occurs in natural aquatic systems and aquaculture environment due to the natural reasons and human factors such as extreme climate, high density farming, environmental pollution and global warming, which have gradually become a huge threat to aquatic ecosystem functions and aquatic organism survival, causing serious ecological damage and enormous economic losses. Rainbow trout (Oncorhynchus mykiss), as a hypoxia-sensitive fish species, is a good model to study hypoxia stress. The molecular regulation and oxidative stress of rainbow trout still remains unknown in response to environmental hypoxia and reoxygenation stress. In this study, the transcriptome and biochemical indexes of rainbow trout liver in response to hypoxia for different durations were analyzed to highlight the changes in the molecular regulation and oxidative stress.