Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1110717 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Host gene expression responses can be used to determine the etiology of acute infection. PBMCs were stimulated with bacterial, viral, and fungal stimuli and then analyzed for differential gene expression utilizing microarrays to derive pathogen class-specific gene expression classifiers of infection. Validation Cohort: peripheral blood samples of human patients with acute viral, bacterial, or fungal infections
2024-09-28 | GSE277849 | GEO
Project description:The Lobaria pulmonaria holobiont consists of algal, fungal, cyanobacterial, and integrated diverse bacterial components and thrives in undisturbed, humid forests. We set out to investigate the role of the microbiome of L. pulmonaria in the adaptation of this ecologically sensitive lichen species to diverse climatic conditions. Our central hypothesis posited that microbiome composition and functionality aligns with continental-scale climatic parameters related to temperature and precipitation. In addition, we tested whether short-term weather dynamics, sampling season, and the genotypes of the fungal and algal partners influenced the variation in the lichen microbiome. Insights into compositional and functional changes within the microbiome were obtained using metaproteomics. Comparative examinations between Sub-Atlantic Lowland (SAL) and Alpine (ALP) regions unveiled the distinct impact of climate on microbiome functions.
2024-07-03 | PXD049079 | Pride
Project description:Precipitation change is often associated with climate warming, but its effects on soil microbial community assembly remain relatively underexplored. Traditionally, it is thought that increasing the magnitude of environmental changes will increase the importance of deterministic processes in community assembly. Here, while ±30% precipitation promoted deterministic processes in the assembly of soil prokaryotic community during a five-year semiarid grassland experiment, ±60% precipitation increased the importance of stochastic processes like random birth/death, countering to conventional thinking. Similarly, analysis of a multifactorial experiment showed that +54% precipitation stimulated a random bacterial birth process while other environmental change factors did not. In addition, the increased taxonomic stochasticity under ±60% precipitation translated into functional stochasticity at the gene, protein, and enzyme levels. Our results revealed the distinctive mechanism and critical role of precipitation in determining microbial assemblages, demonstrating the need to integrate microbial taxonomic information to better predict their functional responses to precipitation changes.
2020-12-13 | PXD023103 |
Project description:Global warming substantially changes precipitation patterns in the Tibetan plateau, with projection of increased precipitation in southern and northern Tibet but decreased precipitation in the center. Understanding mechanisms of such changes in greenhouse gas emissions is of vital importance in predicting ecosystem feedbacks to climate changes. Nonetheless, it has been hampered by limited knowledge in soil microbial communities, one of the major drivers of greenhouse gas emission. Here, we report a field experiment simulating drying and wetting conditions in the Tibetan grassland. Our field site is located at the Haibei Alpine Grassland Ecosystem Research Station in the northeast of Tibet Plateau, China, and we employed GeoChip 5.0 180K to analyze microbial responses.
2016-05-28 | GSE82006 | GEO
Project description:Changes in annual precipitation influence bacterial diversity on the Tibetan Plateau
| PRJDB2044 | ENA