Ontology highlight
ABSTRACT:
PROVIDER: PRJNA383957 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR5469070_1.fastq.gz | Fastqsanger.gz | |||
| SRR5469070_2.fastq.gz | Fastqsanger.gz | |||
| SRR5469080_1.fastq.gz | Fastqsanger.gz | |||
| SRR5469080_2.fastq.gz | Fastqsanger.gz | |||
| SRR5469150_1.fastq.gz | Fastqsanger.gz |
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Project description:Marine sponges (phylum Porifera) are leading organisms for the discovery of bioactive compounds from nature. Their often rich and species-specific microbiota is hypothesised to be producing many of these compounds. Yet, environmental influences on the sponge-associated microbiota and bioactive compound production remain elusive. Here, we investigated the changes of microbiota and metabolomes in sponges along a depth range of 1232 m. Using 16S rRNA gene amplicon sequencing and untargeted metabolomics, we assessed prokaryotic and chemical diversities in three deep-sea sponge species: Geodia barretti, Stryphnus fortis, and Weberella bursa. Both prokaryotic communities and metabolome varied significantly with depth, which we hypothesized to be the effect of different water masses. Up to 35.5% of microbial ASVs (amplicon sequence variants) showed significant changes with depth while phylum-level composition of host microbiome remained unchanged. The metabolome varied with depth, with relative quantities of known bioactive compounds increasing or decreasing strongly. Other metabolites varying with depth were compatible solutes regulating osmolarity of the cells. Correlations between prokaryotic community and the bioactive compounds in G. barretti suggested members of Acidobacteria, Proteobacteria, Chloroflexi, or an unclassified prokaryote as potential producers.
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Project description:Analysis of microbial gene expression in response to physical and chemical gradients forming in the Columbia River, estuary, plume and coastal ocean was done in the context of the environmental data base. Gene expression was analyzed for 2,234 individual genes that were selected from fully sequenced genomes of 246 prokaryotic species (bacteria and archaea) as related to the nitrogen metabolism and carbon fixation. Seasonal molecular portraits of differential gene expression in prokaryotic communities during river-to-ocean transition were created using freshwater baseline samples (268, 270, 347, 002, 006, 207, 212).
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Project description:In the seabed, chemical defences mediate inter- and intraspecific interactions and may determine organisms’ success, shaping the diversity and function of benthic communities. Sponges represent a prominent example of chemically-defended marine organisms with great ecological success. The ecological factors controlling the production of their defensive compounds and the evolutionary forces that select for these defences remain little understood. Each sponge species produces a specific and diverse chemical arsenal with fish-deterrent, antifouling and antimicrobial properties. However, some small animals (mesograzers), mainly sea slugs, have specialized in living and feeding on sponges. Feeding on chemically-defended organisms provides a strategy to avoid predators, albeit the poor nutritional value of sponges. In order to investigate the mechanisms that control sponge chemical defence, with particular focus on the response to specialist grazers, we investigated the interaction between the sponge Aplysina aerophoba and the sea slug Tylodina perversa. Here we performed controlled experiments and collected sponge samples at different time points (3h, 1d and 6d after treatment). To further elucidate if the sponge response is specific to grazing by T. perversa, we also included a treatment in which sponges were mechanically damaged with a scalpel. We compared gene expression between treatments based on RNA-Seq data.
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Project description:Bacteriophage – host dynamics and interactions are important for microbial community composition and ecosystem function. Nonetheless, empirical evidence in engineered environment is scarce. Here, we examined phage and prokaryotic community composition of four anaerobic digestors in full-scale wastewater treatment plants (WWTPs) across China. Despite relatively stable process performance in biogas production, both phage and prokaryotic groups fluctuated monthly over a year of study period. Nonetheless, there were significant correlations in their α- and β-diversities between phage and prokaryotes. Phages explained 40.6% of total prokaryotic community composition, much higher than the explainable power by abiotic factors (14.5%). Consequently, phages were significantly (P<0.010) linked to parameters related to process performance including biogas production and volatile solid concentrations. Association network analyses showed that phage-prokaryote pairs were deeply rooted, and two network modules were exclusively comprised of phages, suggesting a possibility of co-infection. Those results collectively demonstrate phages as a major biotic factor in controlling bacterial composition. Therefore, phages may play a larger role in shaping prokaryotic dynamics and process performance of WWTPs than currently appreciated, enabling reliable prediction of microbial communities across time and space.
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Project description:Exosomal and cellular miRNA expression levels were measured using a microRNA chip array or quantitative reverse transcription PCR (qRT-PCR). miR-24-3p was enriched in T-EXOs from the sera of NPC patients and NPC cells, which was correlated with worse disease-free survival (DFS). Exosomes (miR-24-3p-sponge-EXO) released from miR-24-3p-sponge-TW03 cells failed to inhibit T-cell proliferation and Th1 and Th17 differentiation or to induce Treg differentiation in vitro, compared with controlNC -sponge-EXO. Mechanistic analyses revealed that in miR-24-3p-sponge-EXO-treated T-cells, P-ERK, P-STAT1 and P-STAT3 were up-regulated, whereas P-STAT5 was down-regulated compared with controlNC-sponge-EXO-treated T-cells. FGF11 was identified as a direct target gene of miR-24-3p through in vivo and in vitro assessments. More importantly, the T-EXOs repressed FGF11 expression in T-cells during proliferation and differentiation. Interestingly, when FGF11 expression in T-cells was blocked, miR-24-3p-sponge-EXOs impeded shFGF11-T-cell proliferation and Th1 and Th17 differentiation but induced Treg differentiation, like controlNC-sponge-EXO. When FGF11 was knocked down in miR-24-3p-sponge-EXO-treated T-cells, neither P-ERK, P-STAT1 and P-STAT3 up-regulation or P-STAT5 down-regulation occurred. Interestingly, FGF11 expression in tumor-infiltrating lymphocytes (TILs) was significantly and positively correlated with the number of CD4+ and CD8+ TILs and predicted favorable DFS of the patients (p < 0.05).
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