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

Authors

  • 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.

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Published

2021-10-09

Issue

2021 Annual Conference Proceedings

Section

Research Summaries