MétaCan
Menu
Back to cohort
Record W3158546620 · doi:10.1128/jvi.00318-21

Vaccinia Virus Gene Acquisition through Nonhomologous Recombination

2021· article· en· W3158546620 on OpenAlexafffund
Greg Vallée, Peter Norris, Patrick Paszkowski, Ryan S. Noyce, David H. Evans

Bibliographic record

VenueJournal of Virology · 2021
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPoxvirus research and outbreaks
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health ResearchAlberta Innovates - Health SolutionsNatural Sciences and Engineering Research Council of CanadaGovernment of Canada
KeywordsBiologyHomologous recombinationNon-homologous end joiningGeneticsGeneFLP-FRT recombinationGenetic recombinationMolecular biologyRecombination

Abstract

fetched live from OpenAlex

Large DNA viruses sometimes interfere in antiviral defenses using repurposed and mutant forms of the cellular proteins that mediate these same reactions. Such virus orthologs of cellular genes were presumably captured through nonhomologous recombination, perhaps in the distant past, but nothing is known about the processes that might promote "gene capture" or even how often these events occur over the course of an infectious cycle. This study shows that nonhomologous recombination in vaccinia virus-infected cells is frequent enough to seed a small but still significant portion of novel recombinants into large populations of newly replicated virus particles. This offers a route by which a pool of virus might survey the host genome for sequences that offer a selective growth advantage and potentially drive discontinuous virus evolution (saltation) through the acquisition of adventitious traits.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.283
Teacher spread0.266 · 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 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

Citations12
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueJournal of VirologySame topicPoxvirus research and outbreaksFrench-language works237,207