Comparative Genomics Analysis between frog Virus 3-like Ranavirus from the First Canadian Reptile Mortality Event and Similar Viruses from Amphibians
Bibliographic record
Abstract
Abstract Ranaviruses are emerging pathogens that threaten the biodiversity of wild and captive cold-blooded vertebrates. Reports of ranavirus-induced mortality events are increasing and ranavirus disease is reportable to the World Organization for Animal Health. Previous studies have suggested interclass transmission of ranaviruses and Frog virus 3 (FV3)-like viruses are of particular interest. This study presents the whole-genome assembly of a 106 kb FV3-like genome obtained from the liver tissue of a reptile (wild Chelydra serpentina, common snapping turtle) that died of ranavirus disease in Canada. The FV3-like ON turtle/2018 strain shares the highest genome-wide nucleotide identity (99.71%) with the wild-type FV3 virus detected in the USA from a Northern leopard frog and an FV3-like strain identified from a wood frog in 2017 in Alberta, Canada. The novel genome contains all 26 Iridoviridae core genes, 11 FV3-like genes, and 9 unique truncations, three of which are core Iridoviridae ORFs. Additionally, the two most closely related FV3-like strains from amphibians, were compared to a non-FV3-like amphibian infecting and a fish infecting ranavirus species that showed similar codon usage patterns. G/C-ending codons were the preferred codons for all five strains. Investigation of putative recombination events identified four potential recombination events in the FV3-like ON turtle/2018 genome consistent with this FV3-like reptile infecting strain originating from an amphibian infecting FV3-like ranavirus. Altogether, this study provides insights into the genome structure and the differences in the novel FV3-like genome compared to other ranavirus genomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".