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Record W2888912904 · doi:10.1128/jb.00189-18

Phage Morons Play an Important Role in Pseudomonas aeruginosa Phenotypes

2018· article· en· W2888912904 on OpenAlexafffund
Yu-Fan Tsao, Véronique L. Taylor, Smriti Kala, Joseph Bondy‐Denomy, Alima N. Khan, Diane Bona, Vincent Cattoir, Stephen Lory, Alan R. Davidson, Karen L. Maxwell

Bibliographic record

VenueJournal of Bacteriology · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsCanada Research ChairsUniversity of Toronto
FundersCanadian Institutes of Health ResearchGovernment of Canada
KeywordsBiologyPseudomonas aeruginosaPhenotypeMicrobiologyPseudomonadalesGeneticsPseudomonadaceaeBacteriaGene

Abstract

fetched live from OpenAlex

Environmental and clinical isolates of the bacterium Pseudomonas aeruginosa frequently contain viruses known as prophages. These prophages can alter the virulence of their bacterial hosts through the expression of nonessential genes known as “morons.” In this study, we identified morons in a group of Pseudomonas aeruginosa phages and characterized the effects of their expression on bacterial behaviors. We found that many morons confer selective advantages for the bacterial host, some of which correlate with increased bacterial virulence. This work highlights the symbiotic relationship between bacteria and prophages and illustrates how phage morons can help bacteria adapt to different selective pressures and contribute to human diseases.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.950
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.253
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations106
Published2018
Admission routes2
Has abstractyes

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