CHARACTERIZATION OF THE BACTERIAL COMMUNITIES LOCATED ON THE SKIN SURFACE OF DIGITAL DERMATITIS AND FOOT ROT LESIONS OF FEEDLOT CATTLE
Bibliographic record
Abstract
As a major health problem in feedlots, lameness has significant economic and welfare consequences. Infections in the hooves are a major source of lameness in feedlot cattle. Foot rot (FR) is a highly prevalent hoof disease that affects the interdigital space between the claws. Digital dermatitis (DD) is another important hoof disease that typically manifests as skin lesions between the dew claws on the back of the heel, which can have different presentations as they develop through a series of morphological (M) stages. Both FR and DD are painful, contagious, and are major contributors to feedlot lameness, posing operational and production challenges related to their treatment and control in the feedlot industry. In addition, both hoof diseases have a bacterial origin and can concurrently affect the same hoof (DD+FR). The main objectives of this thesis were to: 1) characterize the hoof lesion bacterial communities of DD, FR, and a combination of both (DD+FR) and 2) characterize and compare the bacterial communities of two active DD stages (M2 and M4.1). Bacterial communities investigation was accomplished using 16S rRNA amplicon sequencing of surface hoof swabs collected from cattle in three southern Alberta feedlots. Analysis of hoof swabs revealed that the DD, FR, and DD+FR bacterial communities were distinct from the bacterial communities of the healthy control skin. The novel characterization of mixed bacterial communities of a DD+FR combination lesion was presented for the first time. Fusobacterium, Prophyromonas, and Peptostreptococccae were associated with FR, DD, and FR+DD, suggesting bacterial overlap in lesion communities. Although M2 and M4.1 lesions each were independently different from M0 skin, no significant diversity and bacterial communities differences were observed between the two active lesion stages. There were similar increases in Spirochaetota and Fusobacteriota relative abundances and alpha diversities in the communities of these two DD stages when compared to M0 control skin. In addition to bacterial communities of both lesion stages sharing multiple common taxa, the lack of alpha, beta, and phylogenetic differences suggest that the bacterial communities appear stable across active lesion stages. These findings contribute to the polybacterial understanding of complex hoof lesions through a non-invasive surface swabbing method.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".