CHARACTERIZATION OF THE BACTERIAL COMMUNITIES LOCATED ON THE SKIN SURFACE OF DIGITAL DERMATITIS AND FOOT ROT LESIONS OF FEEDLOT CATTLE
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».