Core Microbiome of Slovak Holstein Friesian Breeding Bulls’ Semen

Bacterial contamination of semen is an important factor connected to the health status of bulls that may significantly affect semen quality for artificial insemination. Moreover, some important bovine diseases may be transmitted through semen. Up to now, only a very limited number of complex studies...

Full description

Saved in:
Bibliographic Details
Main Authors: Juraj Medo, Jana Žiarovská, Michal Ďuračka, Eva Tvrdá, Štefan Baňas, Michal Gábor, Matúš Kyseľ, Miroslava Kačániová
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
Online Access:https://doaj.org/article/b14401c2593b4cf8a7c09d5da018213a
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Bacterial contamination of semen is an important factor connected to the health status of bulls that may significantly affect semen quality for artificial insemination. Moreover, some important bovine diseases may be transmitted through semen. Up to now, only a very limited number of complex studies describing the semen microbiome of bulls have been published, as many bacteria are hard to cultivate using traditional techniques. The 16S rRNA high-throughput sequencing strategy allows for the reliable identification of bacterial profiles of bovine semen together with the detection of noncultivable bacterial species. Fresh samples from Holstein Friesian breeding bulls (<i>n</i> = 55) were examined for the natural variability in the present bacteria. Semen doses were selected randomly from Slovak Biological Services in Nitra, Slovak Republic. The most predominant phyla within the whole dataset were <i>Firmicutes</i> (31%), <i>Proteobacteria</i> (22%), <i>Fusobacteria</i> (18%), <i>Actinobacteria</i> (13%) and <i>Bacteroidetes</i> (12%). Samples of semen were divided into two separate clusters according to their microbiome compositions using a cording partition around a medoids analysis. Microbiomes of the first cluster (CL1) of samples (<i>n</i> = 20) were based on <i>Actinobacteria</i> (CL1 average = 25%; CL = 28%) and <i>Firmicutes</i> (CL1 = 38%; CL2 = 27%), while the second cluster (CL2; <i>n</i> = 35) contained samples characterized by a high prevalence of <i>Fusobacteria</i> (CL1 = 4%; CL2 = 26%). Some important indicator microbial groups were differentially distributed between the clusters.