Multi-host dispersal of known and novel carnivore amdoparvoviruses
Bibliographic record
Abstract
) are ssDNA viruses that cause an immune complex-mediated wasting syndrome in carnivores. They are multi-host pathogens and cross-species infection is facilitated by the fact that viral entry is mediated by cellular Fc receptors recognizing antibody-coated viruses. We developed a pan-amdoparvovirus PCR and screened tissue samples from 666 wild carnivores (families Felidae, Canidae, and Mustelidae) from Newfoundland or Labrador (Canada) and molecularly characterized the identified strains. Fifty-four out of 666 (8.1%) animals were amdoparvovirus-positive. Infection rate was the highest in American mink (34/47, 72.3%), followed by foxes (Arctic and red foxes, 13/311, 4.2%), lynx (2/58, 3.5%), and American martens (5/156, 3.4%). No virus was detected in samples from 87 coyotes and 17 ermines. Viruses from Newfoundland were classified as Aleutian mink disease virus (AMDV). Mink harvested near AMDV-affected fur farms had higher prevalence (24/24, 100%) than other mink (10/23, 43.5%; P < 0.001) and their viruses were phylogenetically closely related to those from farms, while most viruses from other mink were in other clades. Strains from three foxes and two lynx were highly related to mink strains. This proves that farms disperse AMDV that subsequently spreads among wild mink (maintenance host) and transmits to other spillover carnivore hosts. In Labrador two novel viruses were identified, Labrador amdoparvovirus 1 (LaAV-1) found in foxes (9/261, 3.5%) and martens (5/156, 3.4%), and LaAV-2 found in one fox (0.4%). LaAV-1 fulfills all requirements to be classified as a novel species. LaAV-1 was most similar to viruses of mink and skunks (AMDV and skunk amdoparvovirus (SKAV)) while LaAV-2 was more closely related to other viruses infecting canids. LaAV-1 capsid proteins were almost indistinguishable from those of AMDV in some regions, suggesting that LaAV-1 could be a virus of mustelids that can infect foxes. While intensive farming practices provide occasions for inter-species transmission in farms, niche overlap or predation could explain cross-species transmission in the wild, but competition among sympatric species reduces the chances of direct contacts, making this an infrequent event. Pan-amdoparvovirus detection methods in wide epidemiological investigations can play a crucial role in defining amdoparvoviral ecology and evolution and discovering novel viruses.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".