Project description:We investigated the toxicity of soil samples derived from a former municipal landfill site in the South of the Netherlands, where a bioremediation project is running aiming at reusing the site for recreation. Both an organic soil extract and the original soil sample was investigated using the ISO standardised Folsomia soil ecotoxicological testing and gene expression analysis. The 28 day survival/reproduction test revealed that the ecologically more relevant original soil sample was more toxic than the organic soil extract. Microarray analysis showed that the more toxic soil samples induced gene regulatory changes in twice as less genes compared to the soil extract. Consequently gene regulatory changes were highly dependent on sample type, and were to a lesser extent caused by exposure level. An important biological process shared among the two sample types was the detoxification pathway for xenobiotics (biotransformation I, II and III) suggesting a link between compound type and observed adverse effects. Finally, we were able to retrieve a selected group of genes that show highly significant dose-dependent gene expression and thus were tightly linked with adverse effects on reproduction. Expression of four cytochrome P450 genes showed highest correlation values with reproduction, and maybe promising genetic markers for soil quality. However, a more elaborate set of environmental soil samples is needed to validate the correlation between gene expression induction and adverse phenotypic effects.
Project description:Environmental pollution is a worldwide problem, and metals are the largest group of contaminants in soil. Microarray toxicogenomic studies with ecologically relevant organisms such as springtails, supplement traditional ecotoxicological research, but are presently rather descriptive. Classifier analysis, a more analytical application of the microarray technique, is able to predict biological classes of unknown samples. We used the uncorrelated shrunken centroid (USC) method to classify gene expression profiles of the springtail Folsomia candida exposed to soil spiked with six different metals (barium, cadmium, cobalt, chromium, lead, and zinc). We identified a gene set (classifier) of 188 genes that can discriminate between six different metals present in soil, which allowed us to predict the correct classes for samples of an independent test set with an accuracy of 83% (error rate = 0.17). This study shows further that in order to apply classifier analysis to actual contaminated field soil samples, more insight and information is needed on the transcriptional responses of soil organisms to different soil types (properties) and mixtures of contaminants.
Project description:Land cover change has long been recognized that marked effect the amount of soil organic carbon. However, little is known about microbial-mediated effect processes and mechanism on soil organic carbon. In this study, the soil samples in a degenerated succession from alpine meadow to alpine steppe meadow in Qinghai-Tibetan Plateau degenerated, were analyzed by using GeoChip functional gene arrays.
Project description:The response of soil microbial community to climate warming through both function shift and composition reorganization may profoundly influence global nutrient cycles, leading to potential significant carbon release from the terrain to the atmosphere. Despite the observed carbon flux change in northern permafrost, it remains unclear how soil microbial community contributes to this ecosystem alteration. Here, we applied microarray-based GeoChip 4.0 to investigate the functional and compositional response of subsurface (15~25cm) soil microbial community under about one year’s artificial heating (+2°C) in the Carbon in Permafrost Experimental Heating Research site on Alaska’s moist acidic tundra. Statistical analyses of GeoChip signal intensities showed significant microbial function shift in AK samples. Detrended correspondence analysis and dissimilarity tests (MRPP and ANOSIM) indicated significant functional structure difference between the warmed and the control communities. ANOVA revealed that 60% of the 70 detected individual genes in carbon, nitrogen, phosphorous and sulfur cyclings were substantially increased (p<0.05) by heating. 18 out of 33 detected carbon degradation genes were more abundant in warming samples in AK site, regardless of the discrepancy of labile or recalcitrant C, indicating a high temperature sensitivity of carbon degradation genes in rich carbon pool environment. These results demonstrated a rapid response of northern permafrost soil microbial community to warming. Considering the large carbon storage in northern permafrost region, microbial activity in this region may cause dramatic positive feedback to climate change, which is important and necessary to be integrated into climate change models.
Project description:Root and leave samples of 4 different apple genotypes were investigated in order to analyse the gene expression after infection with Apple Replant Disease (ARD). All genotypes were cultivated in ARD-infected soil and gamma-irradiated (disinfected) soil in the greenhouse for 7 days. The ARD soil originated from two different orchards representing two different soil compositions. After 7 days root tissue was collected from each plant and used for the subsequent gene expression analysis. This work was part of the project BonaRes-ORDIAmur funded by the German Federal Ministry of Research and Education within the frame of the program BonaRes (grant no. 031B0025B). It was also funded by the German Research Foundation (DFG) via the research training group GRK1798 "Signaling at the Plant-Soil Interface" and a grant to BL and LB (BE 1174/19-1).
Project description:The goal of this project was to screen soil samples for bacteria that may harbor B. anthracis virulence-associated genes (VAGs). There is currently no information about the prevalence of these types of organisms in the environment. Due to increased environmental monitoring of select agents by programs such as BioWatch and biodetection systems in place at the United States Post Offices and Department of State locations, it has become critical that we not only better understand the natural range of B. anthracis but also how widespread B. anthracis virulence genes are in environmental communities. Naturally occurring isolates containing the B. anthracis virulence genes could generate false-positive results in tests that detect the anthrax toxins, capsule or their associated genes. Understanding the true diversity and pathogenic potential of Bacillus spp. and particularly the B. cereus group is crucial not only in terms of understanding data from environmental monitoring but also diagnosing patients with clinical presentations similar to anthrax in the future. Severe and fatal disease caused by strains similar to B. anthracis could unnecessarily initiate emergency responses if anthrax was incorrectly suspected. Conversely, these strains may be used as bioterror agents requiring science-based responses; presently our limited understanding of these organisms does not permit data-driven decision making. We have investigated 700 aerobic sporoform soil isolates obtained from two areas in the Southwest of the US. Soil samples from the first site had been taken from public access land approximately 50 meters across from the work site of a fatal pneumonia case in a welding factory. This took place in year 2003 when B. cereus was isolated from a metal worker. The second site was targeted because of a recent case involving a deceased mule suspected to have died of a B. anthracis infection. Soil samples were initially analyzed at the CDC. Isolates were obtained by heating the soil at 65 degrees Celcius for 30 minutes followed by plating on agar media. All isolates were screened by PCR for the presence of B. anthracis genomic traits such as toxin genes (cya, lef and pag) as well as chromosomal markers. All isolates were also tested for their hemolytic activity as well as phage sensitivity.
Project description:Evaluation of different strategies to interpret metaproteomics data acquired on soil samples from a floodplain along the Seine River (France) incorporating sample-specific metagenomics data, soil genome catalogue database, and generic sequence database.
Project description:Comparison of probe-target dissociations of probe Eub338 and Gam42a with native RNA of P. putida, in vitro transcribed 16s rRNA of P. putida, in vitro transcribed 16S rRNA of a 2,4,6-trinitrotoluene contaminated soil and an uncontaminated soil sample. Functional ANOVA revealed no significant differences in the dissociation curves of probe Eub338 when hybridised to the different samples. On the opposite, the dissociation curve of probe Gam42a with native RNA of P. putida was significantly different than the dissociation curves obtained with in vitro transcribed 16S rRNA samples. Keywords: Microbial diversity, thermal dissociation analysis, CodeLink microarray