Sequence typing of Bartonella henselae in small Indian mongooses (Urva auropunctata)
Bibliographic record
Abstract
This study aimed to determine the sequence type (ST) of Bartonella henselae infecting small Indian mongooses from Saint Kitts via multi-locus sequence typing (MLST). This investigation used stored EDTA blood (n = 22) samples from mongooses previously identified as positive for B. henselae. Chocolate agar plates were enriched with Bartonella alpha-Proteobacteria growth medium (BAPGM) to culture and isolate Bartonella from the blood samples. To perform MLST, DNA was extracted and purified from isolates followed by amplification by conventional PCR (300-500 bp) for eight genes (16S rDNA, batR, gltA, groEL, ftsZ, nlpD, ribC, and rpoB). Bartonella henselae STs were deposited in the PubMLST repository. Out of 22 B. henselae-positive blood samples, isolates were obtained from 12 mongooses (54.5%; 12/22). Each mongoose was infected with one ST. The studied mongoose population was infected with sequence types ST2, ST3, ST8, and a novel ST represented by ST38. Bartonella henselae ST2, ST3 and ST8 infecting mongooses are known to circulate in humans and cats, with ST2 and ST8 associated with Cat Scratch Disease (bartonellosis) in humans. The results presented herein denote the circulation of B. henselae STs with zoonotic potential in mongooses with risk of B. henselae transmission to humans.
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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 | 0.001 |
| 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) | 0.000 | 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".