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Record W4307395317 · doi:10.1016/j.crmicr.2022.100169

A novel calicivirus discovered in trumpeter swans (Cygnus buccinator) expands the richness of known avian caliciviruses

2022· article· en· W4307395317 on OpenAlexafffundabout
Marta Canuti, Laurie Wilson, Victoria Bowes, Tony Redford, Suzanne C. Dufour, Andrew S. Lang, Joost T. P. Verhoeven

Bibliographic record

VenueCurrent Research in Microbial Sciences · 2022
Typearticle
Languageen
FieldMedicine
TopicViral gastroenteritis research and epidemiology
Canadian institutionsMinistry of AgricultureGovernment of British ColumbiaEnvironment and Climate Change CanadaMemorial University of Newfoundland
FundersOcean Frontier InstituteCanada First Research Excellence FundParks CanadaBritish Columbia Ministry of Agriculture and Lands
KeywordsCalicivirusBiologyFeline calicivirusCaliciviridaeCladeTaxonomy (biology)MonophylyVirologyZoologyPhylogenetic treeOutbreakVirusGeneticsNorovirus

Abstract

fetched live from OpenAlex

Caliciviruses are ssRNA viruses that can infect a wide range of hosts, including birds. While several avian caliciviruses have been discovered, their taxonomy and host distribution are largely unknown. We molecularly characterized a novel calicivirus (trumpeter swan calicivirus: TruSCV) in trumpeter swans over-wintering in south-west British Columbia, Canada. The positivity rate was 20.3% (14/69) and there were no significant differences in infection rates between males (5/34, 14.7%) and females (9/35, 25.7%) or among considered age groups (juveniles: 4/14, 28.6%; sub-adults: 1/9, 11.1%; adults: 9/46, 19.6%). Twelve infected swans died of lead poisoning, one because of starvation, and one from physical injuries. TruSCV complete genome possessed the typical organization and protein motifs of caliciviruses and a type 2 IRES and its closest relative was a virus circulating in Australian ducks. Phylogenetic analyses showed the existence of 34 different but monophyletic avian caliciviruses. These viruses, while having conserved genomic organization and protein motifs, possess different IRES types and group in several divergent clades, with only two of them corresponding to currently defined genera, highlighting the need for epidemiological investigations and systematic analyses to better define their taxonomy. Follow-up studies are needed to elucidate the diversity, distribution, and pathogenic potential of TruSCV.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score0.906

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.202
GPT teacher head0.459
Teacher spread0.256 · 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

Citations6
Published2022
Admission routes3
Has abstractyes

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