Phenotypic Differences Between the Epidemic Strains of Vesicular Stomatitis Virus Serotype Indiana 98COE and IN0919WYB2 Using an In-Vivo Pig (Sus scrofa) Model
Bibliographic record
Abstract
During the past 25 years, vesicular stomatitis virus (VSV) has produced multiple outbreaks in the US, resulting in the emergence of different viral lineages. Currently, very little is known about the pathogenesis of many of these lineages, thus limiting our understanding of the potential biological factors favoring each lineage in these outbreaks. In this study, we aimed to determine the potential phenotypic differences between two VSV Indiana (VSIV) serotype epidemic strains using a pig model. These strains are representative of the epidemic lineages that affected the US between 1997 and 1998 (IN98COE) and between 2019 and 2020 (IN0919WYB2), the latter responsible for one of the most extensive outbreaks in the US. Our initial genome analysis revealed the existence of 121 distinct mutations between both strains, including the presence of a 14-nucleotide insertion in the intergenic region between the G and L genes observed in IN0919WYB2. The levels of viral RNA in clinical samples between pigs infected with IN98COE or IN0919WYB2 were compared. Overall, higher and prolonged expression of viral RNA in pigs infected with IN98COE was observed. However, clinically, IN0919WYB2 was slightly more virulent than IN98COE, as well as more efficient at producing infection through contact transmission. Additionally, infectious virus was recovered from more samples when the pigs were infected with IN0919WYB2, as revealed by virus isolation in cell culture, indicating the increased ability of this virus to replicate in pigs. Sequence analyses conducted from isolates recovered from both experimental groups showed that IN0919WYB2 produced more variability during the infection, denoting the potential of this strain to evolve rapidly after a single infection-contact transmission event in pigs. Collectively, the results showed that epidemic strains of VSIV may represent disparate phenotypes in terms of virulence/transmissibility for livestock, a situation that may impact the intensity of an epidemic outbreak. This study also highlights the relevance of pathogenesis studies in pigs to characterize phenotypic differences in VSV strains affecting livestock in the field.
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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) | 0.001 | 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 | 0.001 |
| 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".