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9 results for “Pseudomonas entomophila”

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dryad36/100

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>

opencc-zeroApr 2022View details →
dryad36/100

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>

opencc-zeroMay 2022View details →
dryad36/100

No major cost of evolved survivorship in Drosophila melanogaster populations coevolving with Pseudomonas entomophila

Open the record for dataset details and reuse information.

publicApr 2022View details →
dryad36/100

Drosophila melanogaster hosts coevolving with Pseudomonas entomophila pathogen show sex-specific patterns of local adaptation

Open the record for dataset details and reuse information.

publicMay 2022View details →
geo24/100

Pseudomonas virulence factor controls expression of virulence genes in Pseudomonas entomophila

GEO Series GSE216056. Pseudomonas entomophila L48. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2023View details →
geo24/100

RNA-sequencing of the female adult fly guts with enterocyte-specific overexpression and silencing of lark in control and Pseudomonas entomophila infected states.

GEO Series GSE128488. Drosophila melanogaster. 18 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2019View details →
geo24/100

RNA-sequencing of the female adult fly guts from 38 DGRP lines with and without oral infection with Pseudomonas entomophila

GEO Series GSE118142. Drosophila melanogaster. 76 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2019View details →
geo24/100

Next Generation Sequencing-based Quantitative Analysis of female whole body transcriptomes from mock-infected control (sucrose fed) vs Pseudomonas entomophila (P.e) orally infected flies

GEO Series GSE202578. Drosophila melanogaster. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMay 2022View details →
geo24/100

RNA-sequencing of the adult female fly guts (w1118) with and without oral infection with Pseudomonas entomophila (Pe) or Erwinia carotovora carotovora 15 (Ecc15)

GEO Series GSE128489. Drosophila melanogaster. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2019View details →

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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.

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neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

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electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record