The influence of trace metal supplementation on the presence of ceftriaxone resistance in <i>Enterobacteriaceae</i> in the gastrointestinal tract of dairy cattle
Notice bibliographique
Résumé
ABSTRACT The addition of trace minerals into the diet of lactating cows frequently exceeds national recommendations for industry practices. However, the presence of certain heavy metals, such as zinc and copper, has been shown to exert selection pressure on the gut microbiota, favoring metal resistance and potential co-selection for antimicrobial resistance. To determine whether oversupplementation of dietary zinc alters the gut microbiota of dairy cattle, a cross-over design was used to feed either recommended or surplus levels of dietary zinc (0.89×; high mineral diet) compared to the recommended levels (control diet). Rumen, duodenum, and fecal samples were collected to analyze the 16S rRNA microbial community for diversity and relative abundance, with a greater focus on the Enterobacteriaceae family, while mixed enriched gut content samples were cultured to determine the presence of zinc, copper, and ceftriaxone resistances in gram-negative bacteria. Alpha-diversity analysis showed a decrease in richness and evenness (Simpson index) when cows were in the HIGH treatment ( P = 0.0464) and a tendency to decrease ( P = 0.0592) diversity according to the Shannon index. Despite alpha-diversity differences, Enterobacteriaceae abundance showed no difference between treatments. For culturing, a tendency ( P = 0.0956) for decreased fecal resistance to zinc on MacConkey mixed enriched isolates was observed for the HIGH group. This study showed that there were differences between niches but no significant increase in resistance in response to zinc, copper, and ceftriaxone in the enriched Enterobacteriaceae populations from the rumen, duodenum, and fecal niches and that zinc oversupplementation had minimal impact on gut microbiota communities. IMPORTANCE The addition of trace minerals into the diet of lactating cows, at levels exceeding national recommendations, is a common industry practice. However, there are new concerns as the presence of certain heavy metals, such as zinc, has been shown to exert selection pressure on the gut microbiota, favoring metal resistance and potential co-selection for antimicrobial resistance. We evaluated how the addition of zinc in the diet of lactating cows affects the bacterial community’s relative abundance and diversity, with a focus on the Enterobacteriaceae family throughout the gastrointestinal tract, due to their importance for human health. Using samples from the rumen, duodenum, and feces, we cultivated gram-negative bacteria from enriched samples in the presence of zinc, copper, and ceftriaxone resistances to confirm phenotype resistances. This study contributes to our understanding of how dairy diets oversupplemented with minerals may alter the microbial community of the animal and could contribute to the dissemination of antibiotic resistance.
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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 | 0,001 | 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 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».