Vaginal Microbiome Dynamics of Cows in Different Parities

Author:

Ni Jiale1,Wang Jie1ORCID,Zhao Kaisen1,Chen Yang1,Xia Siqi1,Lai Songjia1

Affiliation:

1. College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China

Abstract

At present, there is still room for research on the relationship between the vaginal microbiome and the reproductive health of dairy cows. In this study, high-throughput 16S rRNA sequencing technology was used to explore the differences of bacterial communities of dairy cows of different births, gain a deeper understanding of cow reproductive physiology, and maintain cow health. With the increase in parity, the number of vaginal flora decreased from 3511 to 469, but the number of species increased significantly, and Chao1 increased from 1226.41 ± 345.40 to 1467.76 ± 269.76. There was a significant difference in the number of vaginal microbiome functions between uncounted cows and calving cows. There was no significant difference in microbial diversity in calves. The relative abundance variation of vaginal microbiota in high-parity cows is less than that in low-parity cows. The amino acid metabolism of calves increased, the endocrine function of high-parity cows was enhanced, and the function of the vaginal microbiome increased after the first delivery, which gradually decreased with the increase in parity. This study also found that Methanobacteria and Caviibacter may be involved in amino acid metabolism and endocrine function, and they may play a key role in cow reproduction. This study provides an important theoretical basis for studying changes in vaginal microorganisms in dairy cows, improves the understanding of reproductive health and production performance, and provides a scientific basis for improving the reproductive management of dairy cows.

Funder

Key Research and Development Program for the Construction of Genomic Selection Technology System for Beef cow in Sichuan

Publisher

MDPI AG

Subject

General Veterinary,Animal Science and Zoology

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