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International Journal of Biometeorology

, Volume 58, Issue 7, pp 1665–1672 | Cite as

Beef cattle body temperature during climatic stress: a genome-wide association study

  • Jeremy T. Howard
  • Stephen D. Kachman
  • Warren M. Snelling
  • E. John Pollak
  • Daniel C. Ciobanu
  • Larry A. Kuehn
  • Matthew L. SpanglerEmail author
Original Paper

Abstract

Cattle are reared in diverse environments and collecting phenotypic body temperature (BT) measurements to characterize BT variation across diverse environments is difficult and expensive. To better understand the genetic basis of BT regulation, a genome-wide association study was conducted utilizing crossbred steers and heifers totaling 239 animals of unknown pedigree and breed fraction. During predicted extreme heat and cold stress events, hourly tympanic and vaginal BT devices were placed in steers and heifers, respectively. Individuals were genotyped with the BovineSNP50K_v2 assay and data analyzed using Bayesian models for area under the curve (AUC), a measure of BT over time, using hourly BT observations summed across 5-days (AUC summer 5-day (AUCS5D) and AUC winter 5-day (AUCW5D)). Posterior heritability estimates were moderate to high and were estimated to be 0.68 and 0.21 for AUCS5D and AUCW5D, respectively. Moderately positive correlations between direct genomic values for AUCS5D and AUCW5D (0.40) were found, although a small percentage of the top 5 % 1-Mb windows were in common. Different sets of genes were associated with BT during winter and summer, thus simultaneous selection for animals tolerant to both heat and cold appears possible.

Keywords

Beef cattle Body temperature Genome-wide association study 

Notes

Acknowledgments

The authors would like to thank Leslie J. Johnson, Stephanie Moore, Cody Schneider, and Brandon Nuttelman for their assistance during data collection and the University of Nebraska-Lincoln Layman award for funding of the project.

References

  1. Bergen RD, Kennedy AD (2000) Relationship between vaginal and tympanic membrane temperature in beef heifers. Can J Anim Sci 80:515–518Google Scholar
  2. Burrow HM (2001) Variances and covariances between productive and adaptive traits and temperament in a composite breed of tropical beef cattle. Livest Prod Sci 70:213–233Google Scholar
  3. Chen C, Kudo M, Rutaganira F, Takano H, Lee C, Atakilit A, Robinett KS, Uede T, Wolters PJ, Shokat KM, Huang X, Sheppard D (2012) Integrin α9β1 in airway smooth muscle suppresses exaggerated airway narrowing. J Clin Invest 122(8):2916–2927Google Scholar
  4. Cingolani P, Platts A, Wang LL, Coon M, Nguyen T, Wang L, Land SJ, Lu X, Ruden DM (2012) A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly 6:80–92Google Scholar
  5. Da Silva RG (1973) Improving tropical beef cattle by simultaneous selection for weight and heat tolerance. J Agric Sci 96:23–28Google Scholar
  6. Edriss V, Guldbrandtsen B, Lund MS, Su G (2012) Effect of marker-data editing on the accuracy of genomic prediction. J Anim Breed Genet 130:128–135Google Scholar
  7. Fernando RL, Garrick DJ (2009) GenSel user manual for a portfolio of genomic selection related analysis. Animal breeding and genetics. Iowa State University, AmesGoogle Scholar
  8. Fulda S, Gorman AM, Hori O, Samali A (2010) Cellular stress responses: cell survival and cell death. Int J Cell Biol 2010:1–23Google Scholar
  9. Go YM, Jones DP (2008) Redox compartmentalization in eukaryotic cells. Biochim Biophys Acta 1780:1273–1290Google Scholar
  10. Habier D, Fernando RL, Kizilkaya K, Garrick DJ (2011) Extension of the Bayesian alphabet for genomic selection. BMC Bioinforma 12:186Google Scholar
  11. Hahn GL (1999) Dynamic responses of cattle to thermal heat loads. J Anim Sci 77:10–20Google Scholar
  12. Hansen PJ (2004) Physiological and cellular adaptations of zebu cattle to thermal stress. Anim Reprod Sci 82–83:349–360Google Scholar
  13. Himms-Hagen J (1976) Cellular thermogenesis. Ann Rev Physiol 38:315–351Google Scholar
  14. Howard JT, Kachman SD, Nielsen MK, Mader TL, Spangler ML (2013) The effect of myostatin genotype on body temperature during extreme temperature events. J Anim Sci 91:3051–3058Google Scholar
  15. Illumina, Inc. (2010) Technical note: DNA analysis, Infinium® genotyping data analysis. San Diego (CA). Illumina, Inc. 9 p. pub. no. 970-2007-005Google Scholar
  16. Ju Oh H, Chen X, Subjeck JR (1997) Hsp110 protects heat-denatured proteins and confers cellular thermoresistance. J Biol Chem 272:31636–31640Google Scholar
  17. Kamwanja LA, Chase CC Jr, Gutierrez JA, Guerriero V Jr, Olsen TA, Hammond AC, Hansen PJ (1994) Response of bovine lymphocytes to heat shock as modified by breed and antioxidant status. J Anim Sci 72:438–444Google Scholar
  18. Mader TL, Johnson LJ, Gaughan JB (2010) A comprehensive index for assessing environmental stress in animals. J Anim Sci 88:2153–2165Google Scholar
  19. MacNeil MD (2009) Invited review: research contributions from seventy-five years of breeding line 1 Hereford cattle at miles city, Montana. J Anim Sci 87:2489–2501Google Scholar
  20. Nardone A, Valentini A (2000) The genetic improvement of dairy cows in warm climates. Proceedings of the joint ANPAEAAP-CIHEAM-FAO symposium on Livestock production and climatic uncertainty in the Mediterranean. Agadir, Morocco. EAAP Publication no. 94, 2000Google Scholar
  21. Olszewski PK, Rozman J, Jacobsson JA, Rathkolb B, Strömberg S, Hans W, Klockars A, Alsiö J, Risèrus U, Becker L, Hölter SM, Elvert R, Ehrhardt N, Gailus-Durner V, Fuchs H, Fredriksson R, Wolf E, Klopstock T, Wurst W, Levine AS, Marcus C, Hrabě de Angelis M, Klingenspor M, Schiöth HB, Kilimann MW (2012) Neurobeachin, a regulator of synaptic protein targeting, is associated with body fat mass and feeding behavior in mice and body-mass index in humans. PLoS Genet 8(3):e1002568. doi: 10.1371/journal.pgen.1002568 Google Scholar
  22. Scharf B, Carroll JA, Riley DG, Chase CC, Coleman SW, Keisler DH, Weaber RL, Spiers DE (2010) Evaluation of physiological and blood serum differences in heat-tolerant (Romosinuano) and heat-susceptible (Angus) Bos taurus cattle during controlled heat challenge. J Anim Sci 88:2321–2336Google Scholar
  23. Tomanek L, Zuzow MJ (2010) The proteomic response of the mussel congeners Mytilus galloprovincialis and M. trossulus to acute heat stress: implications for thermal tolerance limits and metabolic costs of thermal stress. J Exp Biol 15:3559–3574. doi: 10.1242/jeb.041228 Google Scholar
  24. Turner HG (1982) Genetic variation of rectal temperature in cows and its relationship to fertility. Anim Prod 35:401–412Google Scholar
  25. Turner HG (1984) Variation in rectal temperature of cattle in a tropical environment and its relation to growth rate. Anim Prod 38:417–427Google Scholar
  26. Wheeler TL, Cundiff LV, Shackelford SD, Koohmaraie M (2005) Characterization of biological types of cattle (cycle VII): carcass, yield, and longissimus palatability traits. J Anim Sci 83:196–207Google Scholar
  27. Young BA (1983) Cold stress as it affects animal production. J Anim Sci 52:154–163Google Scholar
  28. Zimin AV, Delcher AL, Florea L, Kelley DR, Schatz MC, Puiu D, Hanrahan F, Pertea G, van Tassell CP, Sonstegard TS, Marcais G, Roberts M, Subramanian P, Yorke JA, Salzberg SL (2009) A whole-genome assembly of the domestic cow, Bos taurus. Genome Biol 10(4):R42Google Scholar

Copyright information

© ISB 2013

Authors and Affiliations

  • Jeremy T. Howard
    • 1
  • Stephen D. Kachman
    • 2
  • Warren M. Snelling
    • 3
  • E. John Pollak
    • 3
  • Daniel C. Ciobanu
    • 1
  • Larry A. Kuehn
    • 3
  • Matthew L. Spangler
    • 1
    Email author
  1. 1.A218h Animal Science DepartmentUniversity of NebraskaLincolnUSA
  2. 2.Department of StatisticsUniversity of NebraskaLincolnUSA
  3. 3.Agricultural Research Service, U.S. Meat Animal Research CenterUSDAClay CenterUSA

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