Arcobacter lanthieri sp. nov., isolated from pig and dairy cattle manure
Bibliographic record
Abstract
A study was undertaken to determine the prevalence and diversity of species of the genus Arcobacter in pig and dairy cattle manure, which led to the identification of strains AF1440T, AF1430 and AF1581. Initially identified as Arcobacter butzleri based on colony morphology and initial PCR-confirmation tests, analyses of 16S rRNA gene sequences of these strains confirmed that they belonged to the genus Arcobacter and were different from all known species of the genus. The isolates formed a distinct group within the genus Arcobacter based on their 16S rRNA, gyrB, rpoB, cpn60, gyrA and atpA gene sequences and fatty acid profiles. Their unique species status was further supported by physiological properties and DNA-DNA hybridization that allowed phenotypic and genotypic differentiation of the strains from other species of the genus Arcobacter. The isolates were found to be oxidase, catalase and esterase positive and urease negative; they grew well at 30 °C under microaerophilic conditions and produced nitrite and acetoin. Based on their common origin and various physiological properties, it is proposed that the isolates are classified as members of a novel species with the name Arcobacter lanthieri sp. nov. The type strain is AF1440T ( = LMG 28516T = CCUG 66485T); strains AF1430 ( = LMG 28515 = CCUG 66486) and AF1581 ( = LMG 28517 = CCUG 66487) are reference strains.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".