Hostname: page-component-8448b6f56d-mp689 Total loading time: 0 Render date: 2024-04-23T08:50:40.911Z Has data issue: false hasContentIssue false
  • English
  • Français

Results of the BRD CAP project: progress toward identifying genetic markers associated with BRD susceptibility

Published online by Cambridge University Press:  11 November 2014

Alison Van Eenennaam ,
Holly Neibergs ,
Christopher Seabury ,
Jeremy Taylor ,
Zeping Wang ,
Erik Scraggs ,
Robert D. Schnabel ,
Jared Decker ,
Andrzej Wojtowicz  and
Sharif Aly
...Show all authors
Alison Van Eenennaam*
Affiliation:
Department of Animal Science, University of California, Davis, California, USA
Holly Neibergs
Affiliation:
Department of Animal Sciences, Washington State University, Pullman, Washington, USA
Christopher Seabury
Affiliation:
Veterinary Medicine and Biomedical Sciences, Texas A & M University, College Station, Texas, USA
Jeremy Taylor
Affiliation:
Department of Animal Sciences, University of Missouri, Columbia, Missouri, USA
Zeping Wang
Affiliation:
Department of Animal Sciences, Washington State University, Pullman, Washington, USA
Erik Scraggs
Affiliation:
Department of Animal Sciences, Washington State University, Pullman, Washington, USA
Robert D. Schnabel
Affiliation:
Department of Animal Sciences, University of Missouri, Columbia, Missouri, USA
Jared Decker
Affiliation:
Department of Animal Sciences, University of Missouri, Columbia, Missouri, USA
Andrzej Wojtowicz
Affiliation:
Department of Animal Sciences, Washington State University, Pullman, Washington, USA
Sharif Aly
Affiliation:
Veterinary Medicine Teaching and Research Center, School of Veterinary Medicine, University of California, Davis, Tulare, California, USA Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, California, USA
Jessica Davis
Affiliation:
Veterinary Medicine Teaching and Research Center, School of Veterinary Medicine, University of California, Davis, Tulare, California, USA
Patricia Blanchard
Affiliation:
California Animal Health and Food Safety Laboratory System, School of Veterinary Medicine, University of California, Davis, California, USA
Beate Crossley
Affiliation:
California Animal Health and Food Safety Laboratory System, School of Veterinary Medicine, University of California, Davis, California, USA
Paul Rossitto
Affiliation:
Veterinary Medicine Teaching and Research Center, School of Veterinary Medicine, University of California, Davis, Tulare, California, USA
Terry Lehenbauer
Affiliation:
Veterinary Medicine Teaching and Research Center, School of Veterinary Medicine, University of California, Davis, Tulare, California, USA Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, California, USA
Robert Hagevoort
Affiliation:
Agricultural Science Center, New Mexico State University, Clovis, New Mexico, USA
Erik Chavez
Affiliation:
Agricultural Science Center, New Mexico State University, Clovis, New Mexico, USA
J. Shannon Neibergs
Affiliation:
School of Economic Sciences, Washington State University, Pullman, Washington, USA
James E. Womack
Affiliation:
Department of Molecular and Cellular Medicine, Texas A&M Health Science Center College of Medicine, Texas A&M University, Bryan, Texas, USA
*
*Corresponding author. E-mail: alvaneenennaam@ucdavis.edu
Get access Rights & Permissions [Opens in a new window]

Abstract

The Bovine Respiratory Disease Coordinated Agricultural Project (BRD CAP) is a 5-year project funded by the United States Department of Agriculture (USDA), with an overriding objective to use the tools of modern genomics to identify cattle that are less susceptible to BRD. To do this, two large genome wide association studies (GWAS) were conducted using a case:control design on preweaned Holstein dairy heifers and beef feedlot cattle. A health scoring system was used to identify BRD cases and controls. Heritability estimates for BRD susceptibility ranged from 19 to 21% in dairy calves to 29.2% in beef cattle when using numerical scores as a semi-quantitative definition of BRD. A GWAS analysis conducted on the dairy calf data showed that single nucleotide polymorphism (SNP) effects explained 20% of the variation in BRD incidence and 17–20% of the variation in clinical signs. These results represent a preliminary analysis of ongoing work to identify loci associated with BRD. Future work includes validation of the chromosomal regions and SNPs that have been identified as important for BRD susceptibility, fine mapping of chromosomes to identify causal SNPs, and integration of predictive markers for BRD susceptibility into genetic tests and national cattle genetic evaluations.

Keywords

bovine respiratory diseaseBRD CAP projectgenetic markersBRD susceptibility
Type
Review Article
Information
Animal Health Research Reviews , Volume 15 , Issue 2 , December 2014 , pp. 157 - 160
Check for updates
Copyright
Copyright © Cambridge University Press 2014 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Allen, AR, Minozzi, G, Glass, EJ, Skuce, RA, McDowell, SW, Woolliams, JA and Bishop, SC (2010). Bovine tuberculosis: the genetic basis of host susceptibility. Proceedings of Biological Sciences/The Royal Society 277: 2737–2745.Google Scholar
Garrick, DJ and Golden, BL (2009). Producing and using genetic evaluations in the United States beef industry of today. Journal of Animal Science 87: E11–E18.Google Scholar
Lehenbauer, TW, Aly, SS, Davis, JH, Blanchard, PC, Crossley, BM, Rossitto, PV, Neibergs, HL and Van Eenennaam, AL (2013). Prevalence of viral and bacterial pathogens in nasopharyngeal and pharyngeal recess regions of Holstein calves with and without signs of clinical bovine respiratory disease. Annual Report Summary. [Available online at http://www.brdcomplex.org/files/researchers/papers/2013%20pathogen%20study.pdfLast accessed 12 June 2014.]Google Scholar
McGuirk, SM (2008). Disease management of dairy calves and heifers. Veterinary Clinics of North America: Food Animal Practice 24: 139–153.Google Scholar
Neibergs, HL, Seabury, CM, Taylor, JF, Wang, Z, Scraggs, E, Schnabel, RD, Decker, J, Wojtowicz, A, Davis, JH, Lehenbauer, TW, Van Eenennaam, AL, Aly, SS, Blanchard, PC and Crossley, BM (2013). Identification of loci associated with Bovine Respiratory Disease in Holstein calves. Abstract P0552. Plant & Animal Genome XXI, San Diego, California.Google Scholar
Neibergs, HL, Seabury, CM, Taylor, JF, Wojtowicz, A, Scraggs, E, Schnabel, RD, Decker, J, Wojtowicz, A, BRD Consortium and Womack, J (2014a). A Multidisciplinary Approach to Genome Wide Association Analysis Reveals Susceptibility Loci for Bovine Respiratory Disease Complex. Abstract W1666. Plant & Animal Genome XXII, San Diego, California.Google Scholar
Neibergs, HL, Neibergs, JS, Wojtowicz, AJ, Taylor, JF, Seabury, CM and Womack, JE (2014b). Economic benefits of using genetic selection to reduce the prevalence of bovine respiratory disease complex in beef feedlot cattle. In Beef Improvement Federation Annual Meeting and Convention, Nebraska: Lincoln.Google Scholar
Rupp, R, Boichard, D (2003). Genetics of resistance to mastitis in dairy cattle. Veterinary Research 34: 671–688.Google Scholar
Seabury, CM, Taylor, JF, Neibergs, HL and BRD Consortium (2014). GWAS for differential manifestation of clinical signs and symptoms related to bovine respiratory disease complex in Holstein calves. Abstract P535. Plant & Animal Genome XXII, San Diego, California.Google Scholar
Snowder, GD, Van Vleck, LD, Cundiff, LV and Bennett, GL (2005). Influence of breed, heterozygosity, and disease prevalence on estimates of variance components of respiratory disease in preweaned beef calves. Journal of Animal Science 83: 1247.Google Scholar
Stear, MJ, Bishop, SC, Mallard, BA and Raadsma, H (2001). The sustainability, feasibility and desirability of breeding livestock for disease resistance. Research in Veterinary Science 71: 1–7.Google Scholar
Van Eenennaam, AL (2012). Integrated program for reducing bovine respiratory disease complex in beef and dairy cattle coordinated agricultural project (BRD CAP). Proceedings of the American Association of Bovine Practitioners (AABP) 45: 36–39.Google Scholar
Van Eenennaam, AL and MacNeil, MD (2012). The Potential value of DNA-based tests for host bovine respiratory disease resistance to the beef cattle industry. Proceedings of the American Association of Bovine Practitioners (AABP) 45: 60–64.Google Scholar
Van Eenennaam, AL, Weigel, KA, Young, AE, Cleveland, MA and Dekkers, JCM (2014). Applied animal genomics: results from the field. Annual Review of Animal Biosciences 2: 105–139.Google Scholar