Genetic Analysis of Powassan virus Genotypes Circulating in North America [University of Findlay]
Bibliographic record
Abstract
Powassan virus (POWV), a tick-borne flavivirus, is the only member of the tick-borne encephalitis serogroup found in North America. Two distinct lineages, prototype lineage (POWV, lineage I) and deer tick virus (DVT, lineage II) are maintained in enzootic transmission cycles by different tick species based on different geographical regions. In North America, Ixodes scapularis acts as the primary vector throughout the Northeast, and Ixodes cookei throughout the Midwest and much of Canada. Importantly, the incidence of human disease due to POWV has increased by 671% over the last 18 years; with DVT perhapes being the most worrisome genotype due to the wide spread range and prevalence of the vector species. The aim of this study is to assess the evolutionary dynamics of the POWV/DTV complex using the most current full-genome, envelope, and 3’UTR sequences available. Bayesian phylogenetic inferences support the two distinct, monophyletic lineages corresponding to POWV and DTV. Additional analysis were performed in order to quantify the degree to which viral phenotypic characters (such as geographic location, and host species utilization) are correlated with shared ancestry within the two different genotypes. The results of this phylogeny-trait correlation analysis suggest significant clustering of viral sequence by sample location. Such in situ evolution is compatible with the relatively limited distances traveled by most ticks and their prefered host species. Lastly, genetic recombination analysis shows no evidence of between genotype recombination, however further analysis needs to be conducted using within genotype recombination analysis as recombination events may be restricted to only closely genetically related viruses.
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 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 | 0.001 | 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".