Effects of age in fecal microbiota and correlations with blood parameters in genetic nucleus of cattle

• Autores: Estrada Cañari, Richard, Romero Avila, Yolanda Madelein, Figueroa Venegas, Deyanira Antonella, Coila, Pedro, Hañari Quispe, Renán Dilton, Aliaga, Mery, Galindo, Walter, Alvarado, Wigoberto, Casanova Nuñez-Melgar, David Pavel, Quilcate Pairazamán, Carlos Enrique
• Formato: artículo
• Fecha de Publicación: 2024
• Institución: Instituto Nacional de Innovación Agraria
• Repositorio: INIA-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:null:20.500.12955/2540
• Enlace del recurso: https://hdl.handle.net/20.500.12955/2540; https://doi.org/10.3390/microorganisms12071331
• Nivel de acceso: acceso abierto
• Materia: Cattle fecal microbiota; Age-related changes; 16S rRNA gene sequencing; Blood parameters; Functional diversity; https://purl.org/pe-repo/ocde/ford#4.02.01; Cattle; Ganado bovino; Microbial flora; Flora microbiana; Nucleotide sequence; Secuencia nucleotídica; Parameters; Parámetro

This study aimed to determine the impact of age on the fecal microbiota in the genetic nucleus of cattle, with a focus on microbial richness, composition, functional diversity, and correlations with blood parameters. Fecal and blood samples from 21 cattle were analyzed using 16S rRNA gene sequencing. Older cattle exhibited greater bacterial diversity and abundance, with significant changes in alpha diversity indices (p < 0.05). Beta diversity analysis revealed significant variations in microbial composition between age groups and the interaction of age and sex (p < 0.05). Correlations between alpha diversity, community composition, and hematological values highlighted the influence of microbiota on bovine health. Beneficial butyrate-producing bacteria, such as Ruminococcaceae, were more abundant in older cattle, suggesting a role in gut health. Functional diversity analysis indicated that younger cattle had significantly more abundant metabolic pathways in fermentation and anaerobic chemoheterotrophy. These findings suggest management strategies including tailored probiotic therapies, dietary adjustments, and targeted health monitoring to enhance livestock health and performance. Further research should include comprehensive metabolic analyses to better correlate microbiota changes with age-related variations, enhancing understanding of the complex interactions between microbiota, age, and reproductive status.