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Record W2973198146 · doi:10.1128/jvi.01111-19

Deoxyinosine and 7-Deaza-2-Deoxyguanosine as Carriers of Genetic Information in the DNA of <i>Campylobacter</i> Viruses

2019· article· en· W2973198146 on OpenAlexafffund
Clay S. Crippen, Yan‐Jiun Lee, Geoffrey Hutinet, Asif Shajahan, Jessica Sacher, Parastoo Azadi, Valérie de Crécy‐Lagard, Peter Weigele, Christine M. Szymanski

Bibliographic record

VenueJournal of Virology · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsUniversity of Alberta
FundersBasic Energy SciencesNational Institute of General Medical SciencesUniversity of GeorgiaHuman Frontier Science ProgramNational Institutes of HealthAlberta InnovatesU.S. Department of Energy
KeywordsBiologyCampylobacter jejuniCampylobacterDNAMyoviridaeGenomeEscherichia coliNucleotideGeneticsBacteriophageDeoxyguanosineGeneBiochemistryBacteria

Abstract

fetched live from OpenAlex

Bacteriophages are in a constant evolutionary struggle to overcome their microbial hosts’ defenses and must adapt in unconventional ways to remain viable as infectious agents. One mode of adaptation is modifying the viral genome to contain noncanonical nucleotides. Genome modification in phages is becoming more commonly reported as analytical techniques improve, but guanosine modifications have been underreported. To date, two genomic guanosine modifications have been observed in phage genomes, and both are low in genomic abundance. The significance of our research is in the identification of two novel DNA modification systems in Campylobacter -infecting phages, which replace all guanosine bases in the genome in a genus-specific manner.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.938
Threshold uncertainty score0.658

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)0.0010.000

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 head0.004
GPT teacher head0.221
Teacher spread0.216 · 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 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

Citations32
Published2019
Admission routes2
Has abstractyes

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