Multilocus Sequence Typing Subtypes of Poultry Clostridium perfringens Isolates Demonstrate Disease Niche Partitioning
Bibliographic record
Abstract
Clostridium perfringens is a ubiquitous and versatile pathogenic bacterium and is implicated in the etiology of the poultry diseases necrotic enteritis (NE) and poultry gangrene (PG). In this study, multilocus sequence typing was used to investigate genotypic relationships among 139 C. perfringens isolates from 74 flocks. These isolates had multiple disease, host, and environmental origins. The results indicated a polymorphic yet highly clonal population, with 79.6% of all isolates partitioning into one of six clonal complexes or two dominant sequence types, ST-9 and ST-31. The most prolific clonal complex, CC-1, contained 27.3% of all isolates and was not clearly associated with one particular disease. The subtypes CC-4 and ST-31 were highly associated with NE and represented 9.4% and 7.2% of the total isolates, respectively. No PG-associated and NE-associated C. perfringens isolates shared the same sequence type or clonal complex. NE-associated subtypes were more clonal and appeared more evolutionarily divergent than PG-associated subtypes, which tended to cluster in the more ancestral lineages alongside isolates from asymptomatic chickens and turkeys. Toxin gene screening identified cpb2 throughout these isolates and correlated the presence of netB with NE pathology. Previous investigations into the genetic basis of C. perfringens pathogenicity have focused on toxins and other variable genetic elements. This study presents the first sequence-based comparison of C. perfringens isolates recovered in clinical cases of PG and NE and demonstrates that niche specialization is observable in the core genomes of poultry-associated C. perfringens isolates, a concept with both epidemiological and evolutionary significance.
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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 | 0.000 | 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".