Genomic and transcriptomic characterization of Delta SARS-CoV-2 infection in free-ranging white-tailed deer ( <i>Odocoileus virginianus</i> )
Bibliographic record
Abstract
Abstract White-tailed deer are susceptible to SARS-CoV-2 and represent a highly important species for surveillance. Nasal swabs and retropharyngeal lymph nodes from white-tailed deer (n=258) collected in November 2021 from Québec, Canada were analyzed for SARS-CoV-2 RNA. We employed viral genomics and transcriptomics to further characterize infection and investigate host response to infection. We detected Delta SARS-CoV-2 (AY.44) in deer from the Estrie region; sequences clustered with human sequences from GISAID collected in October 2021 from Vermont, USA, which borders this region. Mutations in the S-gene and a deletion in ORF8 encoding a truncated protein were detected. Host expression patterns in SARS-CoV-2 infected deer were associated with the innate immune response, including signalling pathways related to anti-viral, pro- and anti-inflammatory signalling, and host damage. Our findings provide preliminary insights of host response to SARS-CoV-2 infection in deer and underscores the importance of ongoing surveillance of key wildlife species for SARS-CoV-2.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".