First detection of <i>Ehrlichia minasensis</i> in <i>Hyalomma marginatum</i> ticks collected from cattle in Corsica, France
Bibliographic record
Abstract
Ehrlichiosis are severe, feverish tick-borne illnesses caused by specific species within the genus Ehrlichia (Anaplasmataceae family). Recent data suggest that ruminants in Corsica area reservoir for several Anaplasmataceae species. The purpose of our study was to determine whether Ehrlichia species could be detected in ticks collected in Corsican ruminants by using molecular methods. Ticks were collected in northern Corsica: (i) in May 2016 from sheep bred in one farm located in a 5000-inhabitants village and (ii) from cattle in June and July 2016 in a slaughterhouse. There sheep and cattle whole skin was inspected and ticks were collected manually. A total of 647 ticks was collected in northern Corsica during this study: 556 (86%) belonged to the Rhipicephalus bursa species and 91 (14%) to Hyalomma marginatum. The 91 H. marginatum ticks were organized in 27 pools, of which one (3.7%) was found positive for the presence of E. minasensis; this pool consisted of six ticks collected from a cow bred and raised northwestern Corsica. Ehrlichial DNA was not detected in R. bursa ticks. The 16S rRNA and groEL gene sequences of Ehrlichia detected in the H. marginatum pool showed 100% (303/303 bp) and 99.8% (555/556) of nucleotide identity with E. minasensis, respectively. Phylogenetic analyses demonstrated the highest closeness with E. minasensis UFMG-EV genotype than to any other E. canis strains. To our knowledge, this is the first report of E. minasensis outside of Brazil, Ethiopia and Canada. This identification of E. minasensis in H. marginatum merits to be further investigated and pleads for translational studies addressing the potential impact of vector-borne diseases of human and veterinary impact through large-scale research and surveillance programmes in Corsica.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".