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Record W182607048

ZOMBIES IN BACTERIAL GENOMES: IDENTIFICATION AND ANALYSIS OF PREVIOUSLY VIRULENT PHAGE

2014· article· en· W182607048 on OpenAlexaff
Scott Mitchell

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsVirulenceGenomeIdentification (biology)BiologyGeneticsBacterial genome sizeComputational biologyMicrobiologyVirologyGene
DOInot available

Abstract

fetched live from OpenAlex

Bacteriophage (or ‘phage’) are viruses that infect and reproduce within their bacterial hosts. They have a major global impact on bacterial evolution and ecology, and might influence the pathogenicity of their host bacterium by providing virulence factors. Phage can either be described as “virulent” or “temperate”; the distinguishing feature between the two is their method of replication.\nThis study sought to identify phage sequences within bacterial host genomes and determine the life cycle of the phage, exploring whether there is a connection between defective phage and previously virulent phage. It would normally be expected that any phage sequences identified within a bacterial host would have a temperate life cycle, since only temperate phage enter the lysogenic cycle and insert their DNA into the host as a ‘prophage,’ while virulent phage replicate via the lytic cycle, in which phage DNA replicates separately from that of the host’s and infected cells are lysed.\nDefective phage–‘zombies’ in bacterial genomes–are dormant phage that have become inactive through mutational decay or some other process. It is possible that some of these defective phage are in fact previously virulent phage that have become accidentally inserted within the host genome.\nThis study detected phage within bacterial genomes using the prophage identification tools PHAge Search Tool (PHAST) and Prophage Finder. Identified sequences were categorized as ‘intact,’ ‘questionable,’ or ‘incomplete’; questionable and incomplete phage were classified as defective. The lifestyles of the uncovered phage sequences were then determined using PHACTS; six phage were identified as possibly virulent. The life cycles of the phage were further analyzed by assessing the genomic signature distances (GSD) and codon adaptation indexes (CAI) for each phage. Three phage were shown to have a GSD consistent with a virulent life cycle, and the CAI values of four phage corresponded with that of virulent phage. Although previous studies have indicated that some virulent phage may have a temperate lineage, identifying prophage as previously virulent is a novel finding. This has implications for our understanding of phage life cycles and the infection process, as it challenges the idea that only temperate phage insert their DNA into the host genome.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.008
GPT teacher head0.205
Teacher spread0.198 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations1
Published2014
Admission routes1
Has abstractyes

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