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Diverse Antiphage Defenses Are Widespread Among Prophages and Mobile Genetic Elements

2024· review· en· W4400179445 on OpenAlexaff
Landon J. Getz, Karen L. Maxwell

Bibliographic record

VenueAnnual Review of Virology · 2024
Typereview
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsProphageBiologyLysogenic cycleGenomeTemperatenessMobile genetic elementsGeneticsBacterial genome sizeHost (biology)BacteriophageEvolutionary biologyGeneEscherichia coli

Abstract

fetched live from OpenAlex

Bacterial viruses known as phages rely on their hosts for replication and thus have developed an intimate partnership over evolutionary time. The survival of temperate phages, which can establish a chronic infection in which their genomes are maintained in a quiescent state known as a prophage, is tightly coupled with the survival of their bacterial hosts. As a result, prophages encode a diverse antiphage defense arsenal to protect themselves and the bacterial host in which they reside from further phage infection. Similarly, the survival and success of prophage-related elements such as phage-inducible chromosomal islands are directly tied to the survival and success of their bacterial host, and they also have been shown to encode numerous antiphage defenses. Here, we describe the current knowledge of antiphage defenses encoded by prophages and prophage-related mobile genetic elements.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.947
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.014
GPT teacher head0.322
Teacher spread0.307 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations23
Published2024
Admission routes1
Has abstractyes

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