Issue 88, 2017

Unravelling vaginal microbial genetic diversity and abundance between Holstein and Fleckvieh cattle

Abstract

Characterization of bovine vaginal microbial genetic diversity can lead to better understanding of cattle physiology, which is of economic interest in improving cattle reproduction health. However, there is limited knowledge on the factors affecting the microbial community harbored in the vaginal tract. The aim of the current study is to evaluate and compare the microbial genetic diversity and abundance between the Holstein and Fleckvieh cattle using metagenomic approach. The main bacterial phyla found were firmicutes (51.70–58.80%), proteobacteria (16.70–11.70%) and bacteroidetes (13.20–19.50%) for Holstein and Fleckvieh. Notable significant difference (p < 0.05) was observed for Fusobacteria, which was more abundant in Holstein (9.73–0.81%). At the achaea phyla, Euryarchaeota was significantly different (p < 0.05) and was more abundant in Fleckvieh than in Holstein cattle (0.86–0.22%). At the genus level, Turicibacter, Ruminococcaceae_UCG-010, Clostridium_sensu_stricto_1, Dorea, Methanobrevibacter, Acetitomaculum, Ruminococcaceae_NK4A214_group and Ruminiclostridium_5 were found to be significantly (p < 0.05) different between the two cattle breeds and all of them were more abundant in Fleckvieh than in Holstein cattle. The current results indicate that the breed can influence bovine vaginal microbial abundance and diversity. Our study characterized and provided pivotal scientific knowledge to understand the microbial community that harbors the bovine virginal flora.

Graphical abstract: Unravelling vaginal microbial genetic diversity and abundance between Holstein and Fleckvieh cattle

Article information

Article type
Paper
Submitted
23 Sep 2017
Accepted
29 Nov 2017
First published
12 Dec 2017
This article is Open Access
Creative Commons BY license

RSC Adv., 2017,7, 56137-56143

Unravelling vaginal microbial genetic diversity and abundance between Holstein and Fleckvieh cattle

L. T. Nesengani, J. Wang, Y. Yang, L. Yang and W. Lu, RSC Adv., 2017, 7, 56137 DOI: 10.1039/C7RA10553C

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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