Ontology highlight
ABSTRACT:
PROVIDER: PRJNA767765 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Establishing a regulatory framework for cultivating trees under heavy metal (HM) polluted soils
2022-01-26 | PXD031288 | iProX
Project description:The experiment was designed to test the interactions of Spartina alterniflora, its microbiome, and the interaction of the plant-microbe relationship with oil from the Deepwater Horizon oil spill (DWH). Total RNA was extracted from leaf and root microbiome of S. alterniflora in soils that were oiled in DWH oil spill with or without added oil, as well as those grown in unoiled soil with or without added oil. The work in its entirety characterizes the transport, fate and catabolic activities of bacterial communities in petroleum-polluted soils and within plant tissues.
2020-04-10 | GSE148431 | GEO
Project description:This study examined how transcriptomics tools can be included in a Triad-based soil quality assessment to assess the toxicity of soils from river banks polluted by metals. To that end we measured chemical soil properties and used the standardized ISO guideline for ecotoxicological tests and a newly developed microarray for gene expression in the indicator soil arthropod, Folsomia candida. Microarray analysis revealed that the oxidative stress response pathway was significantly affected in all soils except one. The data indicate that changes in cell redox homeostasis are a significant signature of metal stress. Finally, 32 genes showed significant dose-dependent expression with metal concentrations. They are promising genetic markers providing an early indication of the need for higher tier testing in soil quality. One of the least polluted soils showed toxicity in the bioassay that could be removed by sterilization. The gene expression profile for this soil did not show a metal-related signature, confirming that another factor than metals (most likely of biological origin) caused the toxicity. This study demonstrates the feasibility and advantages of integrating transcriptomics into Triad-based soil quality assessment. Combining molecular and organismal life-history traitM-bM-^@M-^Ys stress responses helps identifying causes of adverse effect in bioassays. Further validation is needed for verifying the set of genes with dose-dependent expression patterns linked with toxic stress. We used a one-color microarray design where each sample was hybridized to a single array
2014-02-01 | E-GEOD-52393 | biostudies-arrayexpress
Project description:This study examined how transcriptomics tools can be included in a Triad-based soil quality assessment to assess the toxicity of soils from river banks polluted by metals. To that end we measured chemical soil properties and used the standardized ISO guideline for ecotoxicological tests and a newly developed microarray for gene expression in the indicator soil arthropod, Folsomia candida. Microarray analysis revealed that the oxidative stress response pathway was significantly affected in all soils except one. The data indicate that changes in cell redox homeostasis are a significant signature of metal stress. Finally, 32 genes showed significant dose-dependent expression with metal concentrations. They are promising genetic markers providing an early indication of the need for higher tier testing in soil quality. One of the least polluted soils showed toxicity in the bioassay that could be removed by sterilization. The gene expression profile for this soil did not show a metal-related signature, confirming that another factor than metals (most likely of biological origin) caused the toxicity. This study demonstrates the feasibility and advantages of integrating transcriptomics into Triad-based soil quality assessment. Combining molecular and organismal life-history trait’s stress responses helps identifying causes of adverse effect in bioassays. Further validation is needed for verifying the set of genes with dose-dependent expression patterns linked with toxic stress.
2014-02-01 | GSE52393 | GEO
Project description:Polycyclic aromatic hydrocarbons (PAHs), some of the most widespread organic contaminants, are highly toxic to soil microorganisms. Whether long-term polluted soils can still respond to the fresh input of pollutants is unknown. In this study, the soil enzyme activity, soil microbial community structure and function and microbial metabolism pathways were examined to systematically investigate the responses of soil microorganisms to fresh PAH stress. Microbial activity as determined by soil dehydrogenase and urease activity was inhibited upon microbe exposure to PAH stress. In addition, the soil microbial community and function were obviously shifted under PAH stress. Both microbial diversity and richness were decreased by PAH stress. Rhizobacter, Sphingobium, Mycobacterium, Massilia, Bacillus and Pseudarthrobacter were significantly affected by PAH stress and can be considered important indicators of PAH contamination in agricultural soils. Moreover, the majority of microbial metabolic function predicted to respond to PAH stress were affected adversely. Finally, soil metabolomics further revealed specific inhibition of soil metabolism pathways associated with fatty acids, carbohydrates and amino acids. Therefore, the soil metabolic composition distinctively changed, reflecting a change in the soil metabolism. In summary, fresh contaminant introduction into long-term polluted soils inhibited microbial activity and metabolism, which might profoundly affect the whole soil quality.
2021-02-17 | MTBLS1196 | MetaboLights
Project description:Ectomycorrhizal fungi are dependent on host trees for carbon supply. In return ectomycorrhizal fungi supply trees with water and nutrients. It is known that when ectomycorrhizal fungi have exploited a nutrient rich patch in soil, the carbon allocation to mycelia in that patch is reduced, with the consequence of mycelia dying, but less is known of the dynamics of this senescence. We cultivated the ectomycorrhizal fungus Paxillus involutus in an axenic system. We collected growth and transcriptome data at different stages of carbon starvation during fungal growth. Carbon starvation induced a decrease in fungal biomass, which coincided with the release of NH4+ and the expression of genes connected with autophagy as well as protease and chitinase activity. Monoaromatic compounds, chitin and protease activity was detected in the liquid growth media during carbon starvation. The exudation of NH4+ and increase of monoaromatic compound during C starvation suggests senescence and autolysis of P. involutus. Together with the upregulation of genes involved in autophagy, chitinase and endopeptidase activity this points towards a controlled senescence including recycling of compounds originating from the fungi. Reduced C allocation to ectomycorrhizal mycelia in recently depleted nutrient patches in forest soils must be of ubiquitous nature. Understanding the mechanisms during exploitation of nutrients by ectomycorrhizal fungi is of great importance for understanding carbon and nutrient dynamics in forest soils. This is to our knowledge the first study describing the carbon starvation response in an ectomycorrhizal fungus.
2014-04-01 | GSE54940 | GEO
Project description:Ectomycorrhizal fungi are dependent on host trees for carbon supply. In return ectomycorrhizal fungi supply trees with water and nutrients. It is known that when ectomycorrhizal fungi have exploited a nutrient rich patch in soil, the carbon allocation to mycelia in that patch is reduced, with the consequence of mycelia dying, but less is known of the dynamics of this senescence. We cultivated the ectomycorrhizal fungus Paxillus involutus in an axenic system. We collected growth and transcriptome data at different stages of carbon starvation during fungal growth. Carbon starvation induced a decrease in fungal biomass, which coincided with the release of NH4+ and the expression of genes connected with autophagy as well as protease and chitinase activity. Monoaromatic compounds, chitin and protease activity was detected in the liquid growth media during carbon starvation. The exudation of NH4+ and increase of monoaromatic compound during C starvation suggests senescence and autolysis of P. involutus. Together with the upregulation of genes involved in autophagy, chitinase and endopeptidase activity this points towards a controlled senescence including recycling of compounds originating from the fungi. Reduced C allocation to ectomycorrhizal mycelia in recently depleted nutrient patches in forest soils must be of ubiquitous nature. Understanding the mechanisms during exploitation of nutrients by ectomycorrhizal fungi is of great importance for understanding carbon and nutrient dynamics in forest soils. This is to our knowledge the first study describing the carbon starvation response in an ectomycorrhizal fungus. A one-chip study (data from 12 subarrays collected from a 12-plex Nimblegen microarray (ID 527890) using total RNA recovered from three separate glass-bead cultures of Paxillus involutus (ATCC200175) grown on Minimum Melin Norkrans medium (MMN) amended with ammonium (C/N ratio 3) and harvested at different times of carbon starvation.)
2014-04-01 | E-GEOD-54940 | biostudies-arrayexpress
Project description:Environmental risk assessment relies heavily on the use of bioassays to assess the environmental impact of chemicals. Gene expression is gaining acceptance as a valuable mechanistic endpoint in bioassays and effect-based screening. Data analysis and its results however, are often complex and not directly applicable in risk assessment. Classifier analysis is a promising method to turn complex gene expression analysis results into answers suitable for risk assessment. We have assembled a large gene expression dataset assembled from multiple studies and experiments in the springtail Folsomia candida, with the aim of selecting a set of genes that can be trained to classify general toxic stress. By performing differential expression analysis prior to classification we were able to select a set of 135 genes which was enriched in stress related processes. This set was then used to classify two test sets comprised of chemical spiked soils, polluted soils and clean soils and compared to another, more traditional feature selection for classification. The gene set presented here outperformed the more traditionally selected gene set. This gene set has the potential to be used as a biomarker to test for adverse effects caused by chemicals in springtails to provide endpoints in environmental risk assessment.
2015-11-09 | GSE70877 | GEO