Characterization of the Antigenic Lipopolysaccharide O Chain and the Capsular Polysaccharide Produced by <i>Actinobacillus pleuropneumoniae</i> Serotype 13
Bibliographic record
Abstract
Serotyping of Actinobacillus pleuropneumoniae, the etiologic agent of porcine pleuropneumonia, is important for epidemiological studies and for the development of homologous vaccine cell preparations. The serology is based on the specific chemical structures of capsular polysaccharides (CPSs) and lipopolysaccharide (LPS) antigenic O-polysaccharide moieties (O-PSs), and knowledge of these structures is required for a molecular-level understanding of their serological specificities. The structures of A. pleuropneumoniae serotype 1 to 12 CPSs and O-PSs have been elucidated; however, the structures associated with three newly proposed serotypes (serotypes 13, 14, and 15) have not been reported. Herein we described the structures of the antigenic O-PS and CPS of A. pleuropneumoniae serotype 13. The O-PS of the A. pleuropneumoniae serotype 13 LPS is a polymer of branched tetrasaccharide repeating units composed of l-rhamnose, 2-acetamido-2-deoxy-d-galactose, and d-galactose residues (1:1:2). By use of hydrolysis, methylation, and periodate oxidation chemical methods together with the application of one- and two-dimensional 1H and 13C nuclear magnetic resonance spectroscopy and mass spectrometry, the structures of the O chain and CPS were determined. The CPS of A. pleuropneumoniae serotype 13 was characterized as a teichoic-acid type polymer. The LPS O antigen was identical to the O-PS produced by A. pleuropneumoniae serotype 7. The CPS has the unique structure of a 1,3-poly(glycerol phosphate) teichoic acid type I polymer and constitutes the macromolecule defining the A. pleuropneumoniae serotype 13 antigenic specificity.
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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) | 0.000 | 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".