Ontology highlight
ABSTRACT:
PROVIDER: PRJNA506064 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8209730_1.fastq.gz | Fastqsanger.gz | |||
| SRR8209730_2.fastq.gz | Fastqsanger.gz | |||
| SRR8209740_1.fastq.gz | Fastqsanger.gz | |||
| SRR8209740_2.fastq.gz | Fastqsanger.gz | |||
| SRR8209750_1.fastq.gz | Fastqsanger.gz |
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Project description:Cable bacteria of the family Desulfobulbaceae form centimeter-long filaments comprising thousands of cells. They occur worldwide in the surface of aquatic sediments, where they connect sulfide oxidation with oxygen or nitrate reduction via long-distance electron transport. In the absence of pure cultures, we used single-filament genome amplification and metagenomics to retrieve draft genomes of three marine Candidatus Electrothrix and one freshwater Ca. Electronema species. These genomes contain >50% of unknown genes but still largely share their core genomic makeup with sulfate-reducing and sulfur-disproportionating Desulfobulbaceae, with few genes lost and 212 unique genes conserved among cable bacteria. Last common ancestor analysis indicated gene divergence and lateral gene transfer as equally important origins of these unique genes. With support from metaproteomic data of Ca. Electronema, the genomes suggest that cable bacteria oxidize sulfide by inversing the canonical sulfate reduction pathway and fix CO2 using the Wood-Ljungdahl pathway. Cable bacteria show limited organotrophic potential, may assimilate smaller organic acids and alcohols, fix N2, and synthesize polyphosphates and polyglucose as storage compounds; several of these traits were confirmed by cell-level experimental analyses. We propose a model for electron flow from sulfide to oxygen that involves periplasmic cytochromes, type IV pili as integral components of conductive periplasmic fibers, and periplasmic oxygen reduction. This model proposes that an active cable bacterium gains energy in the anodic, sulfide-oxidizing cells, while cells in the oxic zone flare off electrons through intense cathodic oxygen respiration without energy conservation; this peculiar form of multicellularity seems unparalleled in the microbial world.
2019-08-06 | PXD012775 | Pride
Project description:We have identified differentially expressed genes according to hydrostatic pressure growth conditions in Desulfovibrio piezophilus. The transcriptomic datasets report the molecular mechanisms which could be involved in such adaptation and give information for the piezophile sulfate-reducing bacteria research communities. The data obtained pointed out different responses of D. piezophilus to an increase of hydrostatic pressure.
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Project description:Sulfur metabolism in the deep-sea cold seep has been mentioned to have an important contribution to the biogeochemical cycle of sulfur in previous studies. And sulfate reducing bacteria have also been considered to be a dominant microbial population in the deep-sea cold seep and play a crucial role in this process. However, most of sulfate reducing bacteria from cold seep still cannot be purely cultured under laboratory conditions, therefore the actual sulfur metabolism pathways in sulfate reducing bacteria from the deep-sea cold seep have remained unclear. Here, we isolate and pure culture a typical sulfate reducing bacterium Desulfovibrio marinus CS1 from the sediment sample of the deep-sea cold seep in the South China Sea, which provides a probability to understand the sulfur metabolism in the cold seep.
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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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2010-05-21 | E-GEOD-21906 | biostudies-arrayexpress