Project description:Despite the increased utilization of nanoparticles, the behavior and effect in the environment is largely unknown and few resources are available for health and environmental effect studies. Enchytraeids are extensively used in studies of soil ecotoxicology and recently, a cDNA microarray for Enchytraeus albidus was developed, allowing also toxicogenomic studies in this species. These organisms are ecologically relevant small worms that indirectly contribute to the regulation and degradation of organic matter. In this study we compared the gene expression profiles of E. albidus when exposed to copper-salt (CuCl2) and copper nanoparticles (Cu-NP) spiked soil. The worms were exposed for 48 hours in soil to a range of concentrations. Microarray hybridizations revealed different response patterns between copper-salt and copper nanoparticles exposed organisms, these differences are mainly related with transcripts involved in the energy metabolism of the organisms. Despite unknown gene function in the data-set there are indications that Cu-salt and Cu-NP exposure induced specific gene level responses.
Project description:Copper has long been applied for agricultural practices. Like other metals, copper is highly persistent in the environment and biologically active long after its use has ceased. Here we present a unique study on the long-term effects (27 years) of copper and pH on soil microbial communities and on Folsomia candida, an important representative of the soil macrofauna, in an experiment with a full factorial, random block design. Bacterial communities were mostly affected by pH. These effects were prominent in Acidobacteria, while Actinobacteria and Gammaroteobacteria communities were affected by original and bioavailable copper. Reproduction and survival of the collembolan F. candida was not affected by the studied copper concentrations. However, the transcriptomic responses to copper reflected a mechanism of copper transport and detoxification, while pH exerted effects on nucleotide and protein metabolism and (acute) inflammatory response. We conclude that microbial community structure explained the history of copper contamination, while gene expression analysis of F. candida is associated with the current level of bioavailable copper. Combined analysis at various trophic levels is highly relevant in the context of assessing long-term soil pollution. A single channel, interwoven loop design was used to test animals exposed to the copper-spiked field soil samples. The field soil was spiked with 4 copper and 4 pH treatments yielding 16 combinations. Combinations are displayed in the Sample descriptions, with 1 M-bM-^@M-^S 4 representing the copper concentrations from low to high, and A-D representing the soil pH from low to high. 4 biological replicates per copper/pH combination were used. Each replicate contained 25 grams of soil and thirty 23-day-old animals.
Project description:Copper has long been applied for agricultural practices. Like other metals, copper is highly persistent in the environment and biologically active long after its use has ceased. Here we present a unique study on the long-term effects (27 years) of copper and pH on soil microbial communities and on Folsomia candida, an important representative of the soil macrofauna, in an experiment with a full factorial, random block design. Bacterial communities were mostly affected by pH. These effects were prominent in Acidobacteria, while Actinobacteria and Gammaroteobacteria communities were affected by original and bioavailable copper. Reproduction and survival of the collembolan F. candida was not affected by the studied copper concentrations. However, the transcriptomic responses to copper reflected a mechanism of copper transport and detoxification, while pH exerted effects on nucleotide and protein metabolism and (acute) inflammatory response. We conclude that microbial community structure explained the history of copper contamination, while gene expression analysis of F. candida is associated with the current level of bioavailable copper. Combined analysis at various trophic levels is highly relevant in the context of assessing long-term soil pollution.
Project description:Despite the increased utilization of nanoparticles, the behavior and effect in the environment is largely unknown and few resources are available for health and environmental effect studies. Enchytraeids are extensively used in studies of soil ecotoxicology and recently, a cDNA microarray for Enchytraeus albidus was developed, allowing also toxicogenomic studies in this species. These organisms are ecologically relevant small worms that indirectly contribute to the regulation and degradation of organic matter. In this study we compared the gene expression profiles of E. albidus when exposed to copper-salt (CuCl2) and copper nanoparticles (Cu-NP) spiked soil. The worms were exposed for 48 hours in soil to a range of concentrations. Microarray hybridizations revealed different response patterns between copper-salt and copper nanoparticles exposed organisms, these differences are mainly related with transcripts involved in the energy metabolism of the organisms. Despite unknown gene function in the data-set there are indications that Cu-salt and Cu-NP exposure induced specific gene level responses. Fluorescently labelled cDNA, from enchytraeids exposed during 2 days to control soil (from Hygum site in Denmark) and to the different exposure conditions (Cy5), was synthesized for microarray analysis and hybridizations were performed. After scanning, spots were identified and ratios quantified using the QuantArray (Packard Biochip Technologies). Statistical analysis of the microarrays was performed using limmaGUI package (1.18.0) (Smyth, 2005) in the R (2.8.0) software environment (http://www.R-project.org/). After being submitted to local background subtraction, microarrays were normalized using global loess method. To statistically evaluate the differential gene expression between the different conditions, a gene-per-gene linear model (limma – linear model for microarray analysis) and empirical Bayes methods were applied. The results were then corrected for multiple testing using the Benjamini-Hochberg’s method (adjusted p<0.05 was considered significant) (Benjamini and Hochberg, 1995).