Genetic variation in the mitochondrial 16S rRNA gene of the American dog tick, Dermacentor variabilis (Acari: Ixodidae)
Bibliographic record
Abstract
Genetic variation in the mitochondrial (mt) 16S ribosomal RNA (rRNA) gene was examined for the American dog tick, Dermacentor variabilis (Say, 1821). Nine different haplotypes were detected among 369 adult D. variabilis collected from four localities in Canada. There were eight variable nucleotide positions in the 404 bp sequence alignment. Individuals of haplotype 1 occurred at frequency of >75% at all localities. Five haplotypes were detected at only one of the four localities. High haplotype diversity and low nucleotide diversity, combined with significantly negative Fs values for ticks at three localities, suggest a recent population expansion. Genetic differences were found between populations at different localities, but a Mantel regression analysis revealed no association between genetic differences and geographical distances. There was also no association between tick haplotype and the prevalence of the bacterium, Rickettsia montanensis Weiss and Moulder, 1984, in D. variabilis among localities or on opposite sides of Blackstrap Lake (Saskatchewan). The 16S rDNA haplotypes from Canadian populations of D. variabilis formed a clade with those from the eastern and central U.S.A., to the exclusion of D. variabilis from geographically isolated populations in the western U.S.A. Although sample sizes for D. variabilis in the eastern U.S.A. are small, there may be genetic divergence between populations in Canada and those in the eastern U.S.A., which may have implications for studies on the pathogenic agents transmitted by D. variabilis to its hosts.
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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 | 0.001 | 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".