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Expression profiles of miRNAs from bovine mammary glands in response to Streptococcus agalactiae-induced mastitis

Published online by Cambridge University Press:  23 August 2017

Junhua Pu ,
Rui Li ,
Chenglong Zhang ,
Dan Chen ,
Xiangxiang Liao ,
Yihui Zhu ,
Xiaohan Geng ,
Dejun Ji ,
Yongjiang Mao  and
Yunchen Gong
...Show all authors
Junhua Pu
Affiliation:
College of Animal Science and Technology, Yangzhou University, Yangzhou, China
Rui Li
Affiliation:
College of Animal Science and Technology, Yangzhou University, Yangzhou, China
Chenglong Zhang
Affiliation:
College of Animal Science and Technology, Yangzhou University, Yangzhou, China
Dan Chen
Affiliation:
College of Animal Science and Technology, Yangzhou University, Yangzhou, China
Xiangxiang Liao
Affiliation:
College of Animal Science and Technology, Yangzhou University, Yangzhou, China
Yihui Zhu
Affiliation:
College of Animal Science and Technology, Yangzhou University, Yangzhou, China
Xiaohan Geng
Affiliation:
College of Animal Science and Technology, Yangzhou University, Yangzhou, China
Dejun Ji
Affiliation:
College of Animal Science and Technology, Yangzhou University, Yangzhou, China
Yongjiang Mao
Affiliation:
College of Animal Science and Technology, Yangzhou University, Yangzhou, China
Yunchen Gong
Affiliation:
The Centre for the Analysis of Genome Evolution and Function (CAGEF), University of Toronto, Toronto, Canada
Zhangping Yang*
Affiliation:
College of Animal Science and Technology, Yangzhou University, Yangzhou, China
*
*For correspondence; e-mail: [email protected]
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Abstract

This study aimed to describe the expression profiles of microRNAs (miRNAs) from mammary gland tissues collected from dairy cows with Streptococcus agalactiae-induced mastitis and to identify differentially expressed miRNAs related to mastitis. The mammary glands of Chinese Holstein cows were challenged with Streptococcus agalactiae to induce mastitis. Small RNAs were isolated from the mammary tissues of the test and control groups and then sequenced using the Solexa sequencing technology to construct two small RNA libraries. Potential target genes of these differentially expressed miRNAs were predicted using the RNAhybrid software, and KEGG pathways associated with these genes were analysed. A total of 18 555 913 and 20 847 000 effective reads were obtained from the test and control groups, respectively. In total, 373 known and 399 novel miRNAs were detected in the test group, and 358 known and 232 novel miRNAs were uncovered in the control group. A total of 35 differentially expressed miRNAs were identified in the test group compared to the control group, including 10 up-regulated miRNAs and 25 down-regulated miRNAs. Of these miRNAs, miR-223 exhibited the highest degree of up-regulation with an approximately 3-fold increase in expression, whereas miR-26a exhibited the most decreased expression level (more than 2-fold). The RNAhybrid software predicted 18 801 genes as potential targets of these 35 miRNAs. Furthermore, several immune response and signal transduction pathways, including the RIG-I-like receptor signalling pathway, cytosolic DNA sensing pathway and Notch signal pathway, were enriched in these predicted targets. In summary, this study provided experimental evidence for the mechanism underlying the regulation of bovine mastitis by miRNAs and showed that miRNAs might be involved in signal pathways during S. agalactiae-induced mastitis.

Keywords

Dairy cowsmicroRNAexpression profileStreptococcus agalactiaemastitis
Type
Research Article
Information
Journal of Dairy Research , Volume 84 , Issue 3 , August 2017 , pp. 300 - 308
Copyright
Copyright © Proprietors of Journal of Dairy Research 2017 

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