Borrelia burgdorferi sensu lato genospecies in Ixodes ricinus ticks feeding on passerine birds in southern Norway
Bibliographic record
Abstract
Birds are increasingly considered important in the global dispersal of tick-borne pathogens. The purpose of this study was to investigate the prevalence of Borrelia burgdorferi sensu lato genospecies in Ixodes ricinus ticks collected on passerine birds from two ornithological stations (Jomfruland and Lista) in southern Norway. In both sampling sites a total of 608 (109 larvae and 499 nymphs) of immature ticks were collected from 157 infested birds representing 26 species. The presence of B. burgdorferi s.l. DNA in ticks was tested using direct PCR amplification of the ospA gene, localized on lp-54 plasmid in B. burgdorferi s.l. genome. Twenty one out of 157 infested (13%) birds carried B. burgdorferi s.l. infected Ixodes ricinus ticks. B. burgdorferi s.l. DNA was detected in 19.7% of the tick samples. In total, 6.4% of larvae (7/109) and 10% of nymphs (50/499) were positive. The vast majority of infected ticks were found on blackbird (Turdus merula). The most frequent genospecies was B. garinii (85.5%), followed by B. afzelii (9.0%) and B. valaisiana (5.5%). Five different B. garinii genotypes were identified. Our findings showed that the blackbirds may support the circulation and spread of B. garinii and B. valaisiana. B. garinii was not detected in questing ticks from investigated locations. B. afzelii genospecies, however, dominated in questing ticks, rodents and ticks from rodents.
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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".