Toxinotyping of necrotic enteritis-producing and commensal isolates of<i>Clostridium perfringens</i>from chickens fed organic diets
Bibliographic record
Abstract
The present study determined the effect of Clostridium perfringens isolates taken from necrotic enteritis (NE) outbreaks on organic farms in a NE virulence testing model. Thirteen strains were isolated in the course of the study. Six C. perfringens field isolates were taken from a naturally occurring NE outbreak on an organic farm. Polymerase chain reaction toxinotyping was used to establish C. perfringens strains, as well as to create a toxin profile. All field isolates were found to be type A and positive for alpha, beta-2 and netB toxin genes. During the NE virulence model, digesta samples were collected before oral inoculation to define the C. perfringens found as part of the natural flora. Three of the five natural flora isolates were found to be C. perfringens type E while the other two isolates were type A; only four of five isolates were positive for either netB or beta-2 toxin genes. Two isolates collected after inoculation were C. perfringens type A positive for cpb2 and netB. All isolates were tested positive for the quorum-sensing-related gene luxS, regardless of the strain source. The presence of luxS, alpha, netB and beta-2 toxin genes seems not to be a determinant of the disease as they were present in isolates from both outbreak birds as well as healthy and pre-inoculated birds. The C. perfringens field isolates induced mild NE lesions in one-half of the birds during the challenge study. Other mechanisms must play a role in the development of the disease beyond toxinotype, potentially including intestinal ecology and health, which would account for acute disease as seen in the field outbreak.
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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".