Screening candidate microR-15a- IRAK2 regulatory pairs for predicting the response to Staphylococcus aureus-induced mastitis in dairy cows

Zhi Chen, Jingpeng Zhou, Xiaolong Wang, Yang Zhang, Xubin Lu, Yongliang Fan, Yongjiang Mao, Juan J. Loor, Zhangping Yang

Research output: Contribution to journalArticle

Abstract

We established a mastitis model using exogenous infection of the mammary gland of Chinese Holstein cows with Staphylococcus aureus and extracted total RNA from S. aureus-infected and healthy mammary quarters. Differential expression of genes due to mastitis was evaluated using Affymetrix technology and results revealed a total of 1230 differentially expressed mRNAs. A subset of affected genes was verified via Q-PCR and pathway analysis. In addition, Solexa high-throughput sequencing technology was used to analyze profiles of miRNA in infected and healthy quarters. These analyses revealed a total of 52 differentially expressed miRNAs. A subset of those results was verified via Q-PCR. Bioinformatics techniques were used to predict and analyze the correlations among differentially expressed miRNA and mRNA. Results revealed a total of 329 pairs of negatively associated miRNA/mRNA, with 31 upregulated pairs of mRNA and 298 downregulated pairs of mRNA. Differential expression of miR-15a and interleukin-1 receptor-associated kinase-like 2 (IRAK2), were evaluated by western blot and luciferase reporter assays. We conclude that miR-15a and miR-15a target genes (IRAK2) constitute potential miRNA-mRNA regulatory pairs for use as biomarkers to predict a mastitis response.

Original languageEnglish (US)
Pages (from-to)425-431
Number of pages7
JournalJournal of Dairy Research
Volume86
Issue number4
DOIs
StatePublished - Jan 1 2019

Keywords

  • Differential genes and microRNAs
  • IRAK2
  • Mastitis
  • MicroRNA-mRNA network
  • Staphylococcus aureus
  • miR-15a

ASJC Scopus subject areas

  • Food Science
  • Animal Science and Zoology

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