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Multiple Groups of Endogenous Betaretroviruses in Mice, Rats, and Other Mammals

2004· article· en· W2102372281 on OpenAlexaff
Gregory J. Baillie, Louie N. van de Lagemaat, Corinna Baust, Dixie L. Mager

Bibliographic record

VenueJournal of Virology · 2004
Typearticle
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsUniversity of British ColumbiaTerry Fox Research InstituteBC Cancer Agency
Fundersnot available
KeywordsBiologyRodentGenomeEndogenous retrovirusEndogenyMuridaeLemurHouse mouseOpen reading frameZoologyGeneticsEvolutionary biologyGenePeptide sequencePrimateEcology

Abstract

fetched live from OpenAlex

Betaretroviruses exist in endogenous and exogenous forms in hosts that are widely distributed and evolutionarily distantly related. Here we report the discovery and characterization of several previously unknown betaretrovirus groups in the genomes of Mus musculus and Rattus norvegicus. Each group contains both mouse and rat elements, and several of the groups are more closely related to previously known betaretroviruses from nonmurine hosts. Some of the groups also include members from hosts which were not previously known to harbor betaretroviruses, such as the gray mouse lemur (Microcebus murinus) and Seba's short-tailed bat (Carollia perspicillata). Some of the mouse and rat elements possess intact open reading frames for gag, pro, pol, and/or env genes and display characteristics of having retrotransposed recently. We propose a model whereby betaretroviruses have been evolving within the genomes of murid rodents for at least the last 20 million years and, subsequent to (or concomitant with) the global spread of their murid hosts, have occasionally been transmitted to other species.

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)0.000
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.020
GPT teacher head0.223
Teacher spread0.204 · 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

Citations80
Published2004
Admission routes1
Has abstractyes

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