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Relationships among Indicators of Metabolism, Mammary Health and the Microbiomes of Periparturient Holstein Cows.

Daniela C TardónChristian HoffmannFernanda C R SantosNathalia DecarisFilipe A PinheiroLuciano Lopes QueirozDavid J HurleyViviani Gomes
Published in: Animals : an open access journal from MDPI (2021)
During the period called "transition", from the ceasing of milk production to the reestablishment of full milk production, it is postulated that the microbiota of cows undergo changes in composition driven by the fluxes in systemic energetics and that these changes appear to impact the health of cows. The primary objective of this study was to document the make-up of the microbiota in the mammary gland compared with those in the vagina and in feces in an attempt to determine any correlations between the composition of the microbiota, the impact of blood indicators of energetic metabolites and the health of the mammary gland at the time of calving. Samples were collected from 20 Holstein dairy cows immediately following calving to assess their general health and measure the microbiomes associated with each cow using 16S rRNA sequencing. The results indicated that the microbiomes found within each maternal niche were different. A set of significant negative associations between the blood energetic biomarkers (NEFAs, BHB, triglycerides and cholesterol) and the taxa Pseudomonas , Christensenellaceae and Methanobrevibacter were observed in this study. In contrast, Escherichia and Romboutsia were positively correlated with the same energetic metabolites. Therefore, it was concluded that there appears to be a set of relationships between the microorganisms that colonize several niches of cows and the sufficiency of systemic energy metabolism. Furthermore, both the microbiome and energy dynamics impact the health of the mammary gland of the host.
Keyphrases
  • dairy cows
  • healthcare
  • public health
  • mental health
  • health information
  • health promotion
  • magnetic resonance
  • escherichia coli
  • physical activity
  • pseudomonas aeruginosa
  • social media
  • biofilm formation