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Record W4413973037 · doi:10.1126/sciadv.adx9722

The discovery of a <i>Legionella</i> phage explains a key determinant of human disease

2025· article· en· W4413973037 on OpenAlexafffund
Beth Nicholson, José F. Santé, Elizabeth Chaney, Justin C. Deme, Shayna R. Deecker, Kristina M. Sztanko, Alan R. Davidson, Susan M. Lea, Alexander W. Ensminger

Bibliographic record

VenueScience Advances · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLegionella and Acanthamoeba research
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsLegionellaLegionella pneumophilaMicrobiologyVirulenceBiologyBacteriophageIntracellular parasiteBacteriaLegionnaires' diseasePhage therapyBartonellaCapsidVirologyEscherichia coliVirusGeneticsGene

Abstract

fetched live from OpenAlex

Host cells provide intracellular bacteria with protection from harsh environmental conditions and immune responses, but for many intracellular pathogens, this protection does not appear to be absolute as once thought. Bacteriophages that can kill bacteria inside host cells have been identified for pathogens including Salmonella , Mycobacterium , and Chlamydia species. Even in pathogens for which no stable phages have been isolated, such as Legionella pneumophila , the presence of phage defense systems suggests phage susceptibility. Here, we report the stable isolation of Legionella bacteriophage LME-1 ( Legionella mobile element–1) and its impact on bacterial virulence in humans. Cryo–electron microscopy of the capsid (2.1 angstroms) and portal-tail complex (1.9 angstroms) reveals an unambiguous phage particle with T7-like morphology. Characterizing the host range of this phage, we make a serendipitous finding that links the acquisition of a phage defense mechanism to the formation of a virulent clade of L. pneumophila responsible for 80% of all Legionnaires’ disease.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.586

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.010
GPT teacher head0.315
Teacher spread0.306 · 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

Citations4
Published2025
Admission routes2
Has abstractyes

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