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1,049 results for “Pseudomonas”
Data from: Competition for iron shapes metabolic antagonism between Bacillus subtilis and Pseudomonas
<p>Siderophores have long been implicated in sociomicrobiology as determinants of bacterial interrelations. For plant-associated genera like <em>Bacillus</em> and <em>Pseudomonas</em>, siderophores are often acclaimed for their function in biocontrol. Here, we set out to determine the functional role of the<em> Bacillus subtilis</em> siderophore bacillibactin in an antagonistic interaction with <em>Pseudomonas marginalis</em>. The presence of bacillibactin strongly influences the outcome of the interaction in an iron-dependent manner. A bacillibactin producer <em>B. subtilis</em> restricts the colony spreading of <em>P. marginalis</em>, repress the transcription of histidine kinase-encoding gene <em>gacS</em>, and thereby abolish production of secondary metabolites such as pyoverdine and viscosin. In contrast, the lack of bacillibactin restricts <em>B. subtilis</em> colony growth in a mechanism reminiscent of a siderophore tug-of-war for iron. Our study identifies a <em>Bacillus-Pseudomonas</em> interaction conserved across fluorescent <em>Pseudomonas spp.</em>, expanding our understanding of the interplay between two genera of the most well-studied soil microbes.</p>
Pseudomonas aeruginosa secretes compounds that kill Acanthamoeba castellanii trophozoites
<p>Microscopy of A. castellanii trophozoites incubated with cell-free supernatant from P. aeruginosa strain PA14 overnight cultures in LB. Time elapsed 2 hours. Video acquired using a Canon Vixia HFS200 camera and Nikon Eclipse TS100 microscope (20x objective).</p>
Pseudomonas_E qingdaonensis BIGb0473
This is one of the Wormbiome database archive files.<br>This entry includes all the genome annotation files related to Pseudomonas_E qingdaonensis BIGb0473, a\(n\) Gammaproteobacteria.<br>The Wormbiome collection is an online database dedicated to centralizing all the information related to bacteria associated with C. elegans. More information on <a href="https://bitbucket.org/the-samuel-lab/wbm_scripts/src/master/DOCS/Annotations_output.md" target="_blank" rel="noopener noreferrer">the documentation page</a>.<br><br>
Draft genomes of 972 carbapenem-resistant Pseudomonas aeruginosa isolates (shovill assemblies of Reyes et al 2023 dataset raw reads)
<p>This dataset contains shovill assemblies of raw reads released under NCBI BioProject PRJNA824880 generated in Reyes J et al (The Lancet Microbe. Volume 4 Issue 3 Pages e159-e170 (March 2023); DOI: 10.1016/S2666-5247(22)00329-9)</p> <p> </p>
Pivotal role of O-antigenic polysaccharide display in the sensitivity against phage tail-like particles in environmental Pseudomonas kin competition
<p>Environmental pseudomonads<i> </i>colonize various niches including insect and plant environments. When invading these environments, bacteria are confronted with the resident microbiota. To cope with closely related strains they deploy narrow-spectrum weaponry such as tailocins, <i>i.e</i> phage tail-like particles. Little is known about the receptors for these tailocins especially among phylogenetically closely related species. Here, we studied the interaction between an R-tailocin from <i>Pseudomonas protegens </i>CHA0 and a targeted kin, <i>Pseudomonas protegens </i>Pf-5. Using genome-wide transposon insertion sequencing, we identified that lipopolysaccharides are involved in the sensitivity of Pf-5 towards the tailocin of CHA0. By generating Pf-5 lipopolysaccharide mutants and exposing them to extracted tailocin, we specified the two O-antigenic polysaccharides (O-PS) targeted by the tailocin. We affirmed the role of these O-PS through competition assays<i> in vitro </i>as well as in insects. Further, we demonstrate that O-PS are double-edge swords that are responsible for the sensitivity of <i>P. protegens</i> towards phage tail-like particles produced by their kin, but shield bacteria from the immune system of the insect. Our results shed light on the trade-off that bacteria are confronted with, where specific O-PS decorations can both be of benefit or disadvantage depending on the host environment and its bacterial inhabitants.</p>
RASTtk annotation of Pseudomonas and Xanthomonas spp. isolated from cranberry upright galls
<p>RASTtk annotations for four Pseudomonas spp. and one Xanthomonas sp. isolated from cranberry upright galls (stem tumors) in Massachusetts. Annotations were produced as part of the PATRIC comprehensive genome analysis tool.</p>
Annotated genome Pseudomonas species MWU 12.3088
<p>Annotated genome Pseudomonas species MWU 12.3088 isolated from cultivated cranberry bogs in southeastern Massachusetts. </p>
Annotated genomes of Pseudomonas spp. isolated from wild and cultivated cranberry bogs
<p><em>Pseudomonas</em> spp. were isolated from rhizospheres of wild and cultivated cranberry bogs in southeastern Massachusetts. Genomes were translated and annotated.</p>
Annotated genome Pseudomonas species MWU 12.2319
<p>Annotated genome Pseudomonas species MWU 12.2319 isolated from cultivated cranberry bogs in southeastern Massachusetts.</p>
Annotated genome Pseudomonas species MWU 12.3091
<p>Annotated genome Pseudomonas species MWU 12.3091 isolated from cultivated cranberry bogs in southeastern Massachusetts.</p>
Annotated Genome Pseudomonas sp MWU 13-2517
<p>Annotated genome Pseudomonas sp MWU 13-2517 isolated from wild cranberry bogs in southeastern Massachusetts.</p>
Annotated Genome Pseudomonas sp MWU 13-2862
<p>Annotated genome Pseudomonas sp MWU 13-2862 isolated from wild cranberry bogs in southeastern Massachusetts. </p>
Annotated genome of Pseudomonas sp. MWU12-2345
<p>Annotated genome of Pseudomonas sp. MWU12-2345, isolated from peat and sandy bog soils in the Cape Cod National Seashore, Massachusetts. </p>
Annotated genome of Pseudomonas sp. MWU12-2037
<p>Annotated genome of Pseudomonas sp. MWU12-2037, isolated from peat and sandy bog soils in the Cape Cod National Seashore, Massachusetts. </p>
No major cost of evolved survivorship in Drosophila melanogaster populations coevolving with Pseudomonas entomophila
<p><span>Rapid exaggeration of host and pathogen traits via arms race dynamics is one possible outcome of host-pathogen coevolution. However, the exaggerated traits are expected to incur costs in terms of resource investment in other life-history traits. The current study investigated the costs associated with evolved traits in a host-pathogen coevolution system. We used the <em>Drosophila melanogaster</em> (host)-<em>Pseudomonas entomophila</em> (pathogen) system to experimentally derive two selection regimes, one where the host and pathogen both coevolved, and the other, where only the host evolved against a non-evolving pathogen. After 17 generations of selection, we found that hosts from both selected populations had better post-infection survivorship than controls. Even though the coevolving populations tended to have better survivorship post-infection, we found no clear evidence that the two selection regimes were significantly different from each other.. There was weak evidence for the coevolving pathogens being more virulent than the ancestral pathogen. We found no major cost of increased post-infection survivorship. The costs were not different between the coevolving hosts and the hosts evolving against a non-evolving pathogen. We found no evolved costs in the coevolving pathogens. Thus, our results suggest that increased host immunity and pathogen virulence may not be costly.</span></p>
Drosophila melanogaster hosts coevolving with Pseudomonas entomophila pathogen show sex-specific patterns of local adaptation
<p><strong><span>Background:</span></strong></p> <p><span>In spatially structured populations, local adaptation improves organisms' fitness in their native environment. Host and pathogens can rapidly adapt to their local antagonist. Since males and females can differ in their immunocompetence, the patterns of local adaptation can be different between the sexes. However, there is little information about sex differences in local adaptation in host-pathogen systems.</span></p> <p><strong><span>Results:</span></strong></p> <p><span> </span><span>In the current study, we experimentally coevolved four different replicate populations of <em>Drosophila melanogaster </em>(host) and <em>Pseudomonas entomophila</em> (pathogen) along with appropriate controls. We used the four host-pathogen coevolution populations to investigate the occurrence of local adaptation separately in males and females of the coevolving hosts. We also assessed local adaptation in pathogens. We set up a reciprocal infection experiment where we infected each of the four coevolving hosts with their local pathogen or non-local pathogens from the other three replicate populations. We found that overall, male and female hosts had better survivorship when infected with local pathogens, indicating that they were locally adapted. Interestingly, males were more susceptible to non-local pathogens compared to females. In addition, we found no fecundity cost in females infected with either local or non-local pathogens. We found no evidence of local adaptation among the pathogens.</span></p> <p><strong><span>Conclusion:</span></strong></p> <p><span>Our study showed sex-specific adaptation in the coevolving hosts where female hosts had a broader response against allopatric coevolving pathogens with no cost in fecundity. Thus, our results might suggest a novel mechanism that can maintain variation in susceptibility in spatially structured populations.</span></p>
Annotated Genome Pseudomonas Species MWU 12.2311
<p>Annotated genome Pseudomonas species MWU 12.2311 isolated from cultivated bogs in southeastern Massachusetts. </p>
DNA Methyltransferase regulates nitric oxide homeostasis and virulence in a chronically adapted Pseudomonas aeruginosa strain
<p><span>Opportunistic pathogens such as <em>Pseudomonas aeruginosa </em>adapt their genomes rapidly during chronic infections. Understanding their epigenetic regulation may provide biomarkers for diagnosis and reveal novel regulatory mechanisms. We performed single-molecule real-time sequencing (SMRT-seq) to characterize the methylome of a chronically adapted P. aeruginosa clinical strain TBCF10839. Two </span><span>N6-methyl-adenine (6mA) methylation recognition motifs (RCC<strong>A</strong>NNNNNNN<strong>T</strong>GAR and </span><span>TRG<strong>A</strong>NNNNNN<strong>T</strong>GC)</span><span> were identified and predicted as </span><span>new type I methylation sites using REBASE analysis. We confirmed that motif </span><span>TRG<strong>A</strong>NNNNNN<strong>T</strong>GCwas methylated by MTase M.PaeTBCFII, according to methylation sensitivity assays <em>in vivo </em>and <em>vitro</em>. Transcriptomic analysis showed that <em>Δ</em></span><em><span>M.PaeTBCFII</span></em><span><em> </em>knockout mutant significantly downregulated nitric oxide reductase (NOR) regulating and coding gene expression such as </span><span>nosR </span><span>and norB,</span><span> which contain</span><span> methylated motifs in their promoters or coding regions.</span><span> Δ</span><span>M.PaeTBCFII </span><span>exhibited </span><span>reduced intercellular survival capacity in NO-producing RAW 264.7 macrophages and attenuated virulence in <em>Galleria mellonella</em> infection model; the </span><span>complemented strain recovered these defective phenotypes</span><span>. Further phylogenetic analysis demonstrated that homologs of M.PaeTBCFII occur frequently in P. aeruginosa sp as well as other bacterial species. Our work therefore provided new insights on the relationship between DNA methylation, NO detoxification, and bacterial virulence, </span><span>laying a foundation for further exploring the molecular mechanism of DNA methyltransferase in regulating the pathogenicity of <em>P. aeruginosa</em></span><span>.</span></p>
Pseudomonas aeruginosa Centrifuge DB
<p>Pseudomonas aeruginosa Plascope DB</p>
Pseudomonas syringae virulence factors identified by HMMER
<p>JSON object containing Pseudomonas syringae accession numbers as primary keys, containing protein accession numbers, e-value, and NCBI annotations for every HMMER hit for common <em>P. syringae</em> virulence factors. includes: canonical type III secretion system genes, type III effector subfamilies as described by the <em>Pseudomonas syringae</em> effector compendium, and ewoody host or Pseudomonas (WHOP) genes.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.