Plant-microbiome interactions
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1276240 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR34017749_1.fastq.gz | Fastqsanger.gz | |||
| SRR34017749_2.fastq.gz | Fastqsanger.gz | |||
| SRR34017750_1.fastq.gz | Fastqsanger.gz | |||
| SRR34017750_2.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 71 |
Similar Datasets
Project description:Plant-microbiome interactions Metagenome
| PRJNA1276253 | ENA
Project description:Earthworms enhance plant growth but the precise mechanism by which this occurs is not known. An understanding of the mechanism could potentially support changes in agricultural management reducing fertiliser usage and therefore costs and the carbon footprint of agriculture. We conducted a factorial experiment in which 5 strains of wheat were grown in the presence and absence of earthworms under regular watering and droughted conditions. The different wheat strains all responded in a similar fashion. Plant biomass was greater in the presence of earthworms and under regular watering. The presence of earthworms reduced the impact of drought on plant biomass and also slowed down the rate of drying of the droughted soils. Plant nutrient content (N, P, Si) showed no consistent pattern with treatments but total N, P and Si mirrored plant biomass and decreased in the order earthworm-present watered > earthworm-present droughted > earthworm-absent watered > earthworm-absent droughted. Nutrient availability in the soil, as assessed by chemical extractions showed no consistent pattern with treatments. Differential gene expression of plants was greater between watering treatments than between earthworm treatments. Genes that were differentially expressed between the earthworm treatments predominantly related to plant defences, abiotic stress and control of plant growth though a couple were linked to both nitrogen cycling and stress responses. The soil microbiome of the earthworm-present treatments was more associated with nutrient-rich environments, the promotion of plant growth and the suppression of plant pathogens. Our data suggest that enhanced plant growth was due to changes in the microbiome due to earthworm processing of the soil rather than changes in nutrient availability due to the presence of earthworms.
2025-03-03 | GSE214932 | GEO
Project description:Aging is the predominant cause of morbidity and mortality in industrialized countries, yet the molecular mechanisms driving aging and especially the contribution by the microbiome remain unclear. We combined multi-omics with metabolic modeling to comprehensively characterize host–microbiome interactions during aging in mice. Our findings reveal a complex dependency of host metabolism on known and novel microbial interactions. We observed a pronounced reduction in metabolic activity within the aging microbiome accompanied by reduced beneficial interactions between bacterial species. These microbial changes coincided with increased inflammaging as well as a corresponding downregulation of key host pathways, predicted by our model to be microbiome-dependent, that are crucial for maintaining intestinal barrier function, cellular replication, and homeostasis. Our results elucidate microbiome–host interactions that potentially influence host aging processes, focusing on microbial nucleotide metabolism as a pivotal factor in aging dynamics. These pathways could serve as future targets for the development of microbiome-based anti-aging therapies.
2024-10-15 | GSE278548 | GEO
Project description:Inter-microbial and host–microbial interactions are thought to be critical for the functioning of the gut microbiome, but few substantive tools are available to measure these interactions. Here, we report a method for unbiased spatial sampling of microbiome-host interactions in the gut at high spatial resolution. This method combines enzymatic in situ polyadenylation of both bacterial and host transcripts with spatial RNA-sequencing. Application of this method revealed the biogeography of the mouse gut microbiome as function of location in the intestine, short-range intermicrobial interaction, local shaping of the microbiome by the host, and tumor-associated changes in the architecture of the host-microbiome interface. This method is compatible with broadly available commercial platforms for spatial RNA-sequencing, and can therefore be readily adopted to broadly study the role of short-range, bidirectional host-microbe interactions in microbiome health and disease.
2026-01-21 | GSE276866 | GEO
Project description:Metagenomic bacterial species in synergitic interactions of plant-microbe-electrode microbiome Metagenome
| PRJNA929687 | ENA
Project description:The majority of people in the U.S. manage health through at least one prescription drug. Drugs classified as non-antibiotics can adversely affect the gut microbiome and disrupt intestinal homeostasis. Here, we identified medications associated with an increased risk of GI infections across a population cohort of more than 1 million individuals monitored over 15 years. Notably, the cardiac glycoside digoxin and other drugs identified in this epidemiological study are sufficient to alter microbiome composition and risk of Salmonella enterica subsp. Typhimurium (S. Tm) infection in mice. The impact of digoxin treatment on S. Tm infection is transmissible via the microbiome, and characterization of this interaction highlights a digoxin-responsive b-defensin that alters microbiome composition and consequent immune surveillance of the invading pathogen. Combining epidemiological and experimental approaches thus provides an opportunity to uncover drug-host-microbiome-pathogen interactions that increase infection risk in human populations.
2025-05-12 | GSE274850 | GEO
Project description:Inter-microbial and host–microbial interactions are thought to be critical for the functioning of the gut microbiome, but few substantive tools are available to measure these interactions. Here, we report a method for unbiased spatial sampling of microbiome-host interactions in the gut at high spatial resolution. This method combines enzymatic in situ polyadenylation of both bacterial and host transcripts with spatial RNA-sequencing. Application of this method revealed the biogeography of the mouse gut microbiome as function of location in the intestine, short-range intermicrobial interaction, local shaping of the microbiome by the host, and tumor-associated changes in the architecture of the host-microbiome interface. This method is compatible with broadly available commercial platforms for spatial RNA-sequencing, and can therefore be readily adopted to broadly study the role of short-range, bidirectional host-microbe interactions in microbiome health and disease.
2026-01-21 | GSE308507 | GEO
Project description:Oligogalacturonomics of plant-fungus interactions
| PRJNA495057 | ENA
Project description:Wheat earthworm-plant-microbiota interactions
| PRJNA887763 | ENA