Ontology highlight
ABSTRACT:
PROVIDER: PRJNA778339 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR16831932_1.fastq.gz | Fastqsanger.gz | |||
| SRR16831932_2.fastq.gz | Fastqsanger.gz | |||
| SRR16831934_1.fastq.gz | Fastqsanger.gz | |||
| SRR16831934_2.fastq.gz | Fastqsanger.gz |
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Project description:Infective endocarditis results in the growth of a vegetative mass on native or bio prosthetic valves hindering function and increasing risk of thromboses. This study set out to determine the proteomic composition of these vegetations including the influence of different micro-organisms and the proteases known to be present. Our data has allowed us to describe for first time the influence different infectious organisms have on vegetation growth. Including the contribution the immune response and circulatory proteins/cells make in composing a vegetation. Furthermore, we describe the protease activity and both known and novel cleavage sites in a plethora of targets. This data provides a deep insight into the homogeneity and heterogeneity of vegetation composition.
2020-07-29 | PXD016415 | Pride
Project description:Infective endocarditis results in the growth of a vegetative mass on native or bio prosthetic valves hindering function and increasing risk of thromboses. This study set out to determine the proteomic composition of these vegetations including the influence of different micro-organisms and the proteases known to be present. Our data has allowed us to describe for first time the influence different infectious organisms have on vegetation growth. Including the contribution of the immune response and circulatory proteins/cells make in composing a vegetation. Furthermore, we describe the protease activity and both known and novel cleavage sites in a plethora of targets. This data provides a deep insight into the homogeneity and heterogeneity of vegetation composition.
2020-07-29 | PXD019129 | Pride
Project description:Understanding the environmental factors that shape microbial communities is crucial, especially in extreme environments, like Antarctica. Two main forces were reported to influence Antarctic soil microbes: birds and plants. Both birds and plants are currently undergoing unprecedented changes in their distribution and abundance due to global warming. However, we need to clearly understand the relationship between plants, birds and soil microorganisms. We therefore collected rhizosphere and bulk soils from six different sampling sites subjected to different levels of bird influence and colonized by Colobanthus quitensis and Deschampsia antarctica in the Admiralty Bay, King George Island, Maritime Antarctic. Microarray and qPCR assays targeting 16S rRNA genes of specific taxa were used to assess microbial community structure, composition and abundance and analyzed with a range of soil physico-chemical parameters. The results indicated significant rhizosphere effects in four out of the six sites, including areas with different levels of bird influence. Acidobacteria were significantly more abundant in soils with little bird influence (low nitrogen) and in bulk soil. In contrast, Actinobacteria were significantly more abundant in the rhizosphere of both plant species. At two of the sampling sites under strong bird influence (penguin colonies), Firmicutes were significantly more abundant in D. antarctica rhizosphere but not in C. quitensis rhizosphere. The Firmicutes were also positively and significantly correlated to the nitrogen concentrations in the soil. We conclude that the microbial communities in Antarctic soils are driven both by bird and plants, and that the effect is taxa-specific.
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Project description:GCMS datasets for the soil depth manuscript
Abstract
Two factors that are well-known to influence soil microbiomes include the depth of the soil as well as the level of moisture. Previous works have demonstrated that climate change will increase the incidence of drought in soils, but it is unknown how fluctuations in moisture availability affect soil microbiome composition and functioning down the depth profile. Here, we investigated soil and wheatgrass rhizosphere microbiomes in a common field setting under four different irrigation regimes and three depths. We demonstrated that there is a significant interactive effect, where fluctuations in soil moisture more strongly influence soil microbiomes at the surface layer than in deeper layers, including for soil community composition, diversity, and for functional profiles. Meanwhile, in rhizosphere communities the influence of irrigation was similar across the different depths, although there were slight discrepancies between the two cultivars of wheatgrass used. The lessened response of deeper soil microbiomes to changes in irrigation may be due to higher incidence of slow-growing, stress-resistant microbes.
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Project description:Soil transplant serves as a proxy to simulate climate change in realistic climate regimes. Here, we assessed the effects of climate warming and cooling on soil microbial communities, which are key drivers in Earth’s biogeochemical cycles, four years after soil transplant over large transects from northern (N site) to central (NC site) and southern China (NS site) and vice versa. Four years after soil transplant, soil nitrogen components, microbial biomass, community phylogenetic and functional structures were altered. Microbial functional diversity, measured by a metagenomic tool named GeoChip, and phylogenetic diversity are increased with temperature, while microbial biomass were similar or decreased. Nevertheless, the effects of climate change was overridden by maize cropping, underscoring the need to disentangle them in research. Mantel tests and canonical correspondence analysis (CCA) demonstrated that vegetation, climatic factors (e.g., temperature and precipitation), soil nitrogen components and CO2 efflux were significantly correlated to the microbial community composition. Further investigation unveiled strong correlations between carbon cycling genes and CO2 efflux in bare soil but not cropped soil, and between nitrogen cycling genes and nitrification, which provides mechanistic understanding of these microbe-mediated processes and empowers an interesting possibility of incorporating bacterial gene abundance in greenhouse gas emission modeling.
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