Multipopulational transcriptomic analysis of high-risk beef cattle on arrival reveals genes and mechanisms which may predict bovine respiratory disease

  • Matthew A. Scott Department of Pathobiology and Population Medicine, Mississippi State University, Mississippi State, MS, 39762
  • A.R. Woolums Department of Pathobiology and Population Medicine, Mississippi State University, Mississippi State, MS, 39762
  • C.E. Swiderski Department of Pathobiology and Population Medicine, Mississippi State University, Mississippi State, MS, 39762
  • A.D. Perkins Department of Computer Science and Engineering, Mississippi State University, Mississippi State, MS, 39762
  • B. Nanduri Department of Comparative Biomedical Sciences, Mississippi State University, Mississippi State, MS, 39762
  • D.R. Smith Department of Pathobiology and Population Medicine, Mississippi State University, Mississippi State, MS, 39762
  • .. Karisch Department of Animal and Dairy Sciences, Mississippi State University, Mississippi State, MS, 39762
  • W. Epperson Department of Pathobiology and Population Medicine, Mississippi State University, Mississippi State, MS, 39762
Keywords: bovine respirator disease, BRD-predictive genes, transcriptomes

Abstract

Bovine respiratory disease (BRD) continues to impact beef cattle production. RNA-Seq has been employed to investigate host response and gene-by-environment regulatory function in cattle at arrival. Nevertheless, studies have been relatively underpowered, and findings remain disputed. Our objective was to analyze at-arrival blood transcriptomes from beef cattle in two populations to identify and corroborate BRD-predictive genes and mechanisms.

Published
2021-10-09
Section
Research Summaries