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Record W4414411498 · doi:10.1128/mbio.02360-25

Collaboration between a temperate phage and <i>Pseudomonas aeruginosa</i> quorum sensing constrains social cheats

2025· article· en· W4414411498 on OpenAlexaff
Ruiyi Chen, Beth Traxler, Andrew M. Kropinski, E. Peter Greenberg

Bibliographic record

VenuemBio · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsUniversity of Guelph
FundersNational Institute of General Medical SciencesNational Cancer Institute
KeywordsQuorum sensingBacteriophageMutualism (biology)Lysogenic cycleBacteriaPhage therapyTemperateness

Abstract

fetched live from OpenAlex

ABSTRACT Pseudomonas aeruginosa uses quorum sensing (QS) to coordinate cooperative behaviors. In the model strain PAO1, QS activates dozens of genes, including those for cyanide production and cyanide resistance. The induction of cyanide synthesis and resistance mechanisms serves to constrain the emergence of QS mutants. Strain CI27 does not possess the cyanide synthesis genes. Here, we ask if this isolate can constrain emergence of QS mutants. In daily transfer experiments, where PAO1 cyanide synthesis mutants are incapable of QS mutant restraint, we found that CI27 constrained emergence of QS mutants. Genome sequencing revealed that a temperate phage, which we call RC5, in evolved QS mutants had copied itself at new chromosomal locations. This led to investigations of the relationship between QS and temperate phages in CI27. We found seven prophage genomes in the CI27 chromosome (RC1–7), one of which occurred in two copies (RC3). Upon mitomycin C induction of CI27, we found four different phage genomes in lysates with RC7 predominating. The lysates of a QS mutant contained three times as many phages as lysates. Without mitomycin C induction, phage numbers in culture fluid from either the wild-type or a CI27 QS mutant were low, but upon daily transfer, phage numbers increased dramatically in the QS mutant. The increase was due to RC3 specifically, and after several transfers, the mutant cultures underwent a massive lysis. Further experiments indicated that RC3 protects P. aeruginosa from QS mutant invasion. Protection might result at least in part from the fact that LasR mutants are more susceptible to RC3 superinfection than the wild type. IMPORTANCE Quorum sensing (QS) enables bacteria such as Pseudomonas aeruginosa to coordinate cooperative activities. How bacteria in cooperating groups can resist infiltration by non-cooperating variants is an emerging area of interest in sociobiology and molecular biology. There have been several recent reports on how QS and certain bacteriophage interact. In some strains of P. aeruginosa , QS can activate phage defense systems. At least one bacteriophage can repress P. aeruginosa QS. Here, we show that a previously undescribed bacteriophage can help cooperating groups of P. aeruginosa resist infiltration by non-cooperating QS mutants. This represents a mutualism in which both the bacteriophage and the P. aeruginosa host benefit at least under certain conditions.

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 categoriesnone
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 score0.638
Threshold uncertainty score0.418

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)0.0000.000

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 head0.007
GPT teacher head0.255
Teacher spread0.248 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2025
Admission routes1
Has abstractyes

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