BiologybioRxiv

Ranked by formulaVerdict: Notable

Population genomics of Actinobacillus pleuropneumoniae reveals lineage-associated K:O antigen and Apx toxin diversity

Actinobacillus pleuropneumoniae (APP) is the causative agent of porcine pleuropneumonia, causing high mortality and morbidity and substantial economic losses in the swine industry.

By Yang, Hakimi, Hu +5

Score████░░░░░░4.3

Key numbers

  • 26 K

Caveats

  • Preprint; not yet peer reviewed.

VerdictWorth a reader's time today.

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Abstract

Actinobacillus pleuropneumoniae (APP) is the causative agent of porcine pleuropneumonia, causing high mortality and morbidity and substantial economic losses in the swine industry. Nineteen capsular (K) serotypes, defined by variation in capsular polysaccharide (CPS) biosynthesis loci, ten O serotypes, defined by variation in lipopolysaccharide (LPS) biosynthesis loci, characteristic Apx toxin profiles, and genomic diversity have been increasingly described; however, relationships among genomic lineage, surface antigen genotype, and Apx toxin repertoire remain incompletely resolved. Here, we analyzed 328 APP genomes, including 153 newly sequenced isolates and 175 public genomes from 21 countries. Core-genome SNP phylogeny and FastBAPS identified 23 genomic lineages. Nineteen capsular K types and 10 O-antigen types formed 26 K:O genotypes, of which 24 were restricted to a single lineage. Adjusted Wallace analysis showed greater concordance of K:O genotype with lineage than K type alone (0.881 versus 0.759), and with ApxI, ApxII and ApxIII genotype (0.949 versus 0.787). ApxIVA related sequence was detected in all genomes, while 56 complete loci revealed recurrent length variation within the N-terminus or the RTX repeat rich region and an additional divergent ApxIVA related homolog. In conclusion, our comprehensive population genomic study gives a more informative picture of APP genomics and virulence-associated diversity, providing a useful genomic basis for future diagnostic test and vaccine development.

J. Yang, M. Hakimi, X. Hu, M. J. Clavijo, M. N. Almeida, N. R. D. Macedo, H. Shen, G. Li

The editor's rubric

Heuristic review

Leverage3 / 5
A method or resource many groups across the field will adopt within a year.
24% of this desk’s rubric
Magnitude3 / 5
Large gain: roughly 2x, or a clear new state of the art on a hard, unsaturated problem.
16% of this desk’s rubric
Evidence3 / 5
Solid: multiple benchmarks or cohorts, ablations, fair baselines, released code or data.
20% of this desk’s rubric
Novelty2 / 5
A new combination of known ideas.
20% of this desk’s rubric
Trajectory2 / 5
Some room to improve with obvious engineering.
10% of this desk’s rubric
Stakes3 / 5
Meaningful benefit to many people within a few years.
10% of this desk’s rubric

Editor’s rationale

Heuristic triage from title and abstract text only, not a reading of the paper. Cues found: breadth (many tasks); gains (versus baseline); design (multicenter); stakes (mortality, prevention or cure).

How the score was computed

rank-2026-10-18

Score████░░░░░░4.3

Score = 10 × (75% × adjusted merit / 10 + 15% × attention + 10% × freshness)

Desks place stronger verdicts first, then use this score to order work within the same verdict.

Merit
5.4 / 10
Weighted rubric, evidence-gated.
Adjusted merit
4.6 / 10
Shrunk toward the desk prior by editor confidence (40%).
Attention
0%
Citations, upvotes, points, mentions.
Freshness
88%
Half-life decay since publication.

No attention signals recorded yet.

The record

  • Reviewed by heuristic-v7 on Oct 22, 2026, 05:48 UTC. Paper type: empirical.
  • Categories: genomics
  • BRIEF, No.6 in the Biology edition of October 22, 2026.