Display options
Cite
Willson NL, Forder REA, Tearle RG, et al. Evaluation of fatty acid metabolism and innate immunity interactions between commercial broiler, F1 layer × broiler cross and commercial layer strains selected for different growth potentials. J Anim Sci Biotechnol. 2017;8:70doi: 10.1186/s40104-017-0202-4.
Willson, N. L., Forder, R. E. A., Tearle, R. G., Nattrass, G. S., Hughes, R. J., & Hynd, P. I. (2017). Evaluation of fatty acid metabolism and innate immunity interactions between commercial broiler, F1 layer × broiler cross and commercial layer strains selected for different growth potentials. Journal of animal science and biotechnology, 870. https://doi.org/10.1186/s40104-017-0202-4
Willson, Nicky-Lee, et al. "Evaluation of fatty acid metabolism and innate immunity interactions between commercial broiler, F1 layer × broiler cross and commercial layer strains selected for different growth potentials." Journal of animal science and biotechnology vol. 8 (2017): 70. doi: https://doi.org/10.1186/s40104-017-0202-4
Willson NL, Forder REA, Tearle RG, Nattrass GS, Hughes RJ, Hynd PI. Evaluation of fatty acid metabolism and innate immunity interactions between commercial broiler, F1 layer × broiler cross and commercial layer strains selected for different growth potentials. J Anim Sci Biotechnol. 2017 Sep 01;8:70. doi: 10.1186/s40104-017-0202-4. eCollection 2017. PMID: 28883915; PMCID: PMC5580270.
Copy Download .nbib Format: NLM
Share it on

J Anim Sci Biotechnol. 2017 Sep 01;8:70. doi: 10.1186/s40104-017-0202-4. eCollection 2017.

Evaluation of fatty acid metabolism and innate immunity interactions between commercial broiler, F1 layer × broiler cross and commercial layer strains selected for different growth potentials.

Journal of animal science and biotechnology

Nicky-Lee Willson, Rebecca E A Forder, Rick G Tearle, Greg S Nattrass, Robert J Hughes, Philip I Hynd

Affiliations

  1. School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy, SA 5371 Australia.
  2. The Australian Poultry and Cooperative Research Centre, University of New England, PO Box U242, Armidale, NSW 2351 Australia.
  3. Davies Research Centre, School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy, SA 5371 Australia.
  4. South Australian Research and Development Institute (SARDI), Livestock and Farming Systems, Roseworthy, SA 5371 Australia.
  5. South Australian Research and Development Institute (SARDI), Pig and Poultry Production Institute, Roseworthy, SA 5371 Australia.

PMID: 28883915 PMCID: PMC5580270 DOI: 10.1186/s40104-017-0202-4

Abstract

BACKGROUND: The broiler industry has undergone intense genetic selection over the past 50 yr. resulting in improvements for growth and feed efficiency, however, significant variation remains for performance and growth traits. Production improvements have been coupled with unfavourable metabolic consequences, including immunological trade-offs for growth, and excess fat deposition. To determine whether interactions between fatty acid (FA) metabolism and innate immunity may be associated with performance variations commonly seen within commercial broiler flocks, total carcass lipid %, carcass and blood FA composition, as well as genes involved with FA metabolism, immunity and cellular stress were investigated in male birds of a broiler strain, layer strain and F1 layer × broiler cross at d 14 post hatch. Heterophil: lymphocyte ratios, relative organ weights and bodyweight data were also compared.

RESULTS: Broiler bodyweight (

CONCLUSIONS: The results provide evidence that genetic selection may be associated with altered metabolic processes between broilers, layers and their F1 cross. Whilst there is no evidence of interactions between FA metabolism, innate immunity or cellular stress, further investigations at later time points as growth and fat deposition increase would provide useful information as to the effects of divergent selection on key metabolic and immunological processes.

Keywords: Broiler; Cellular stress; Fatty acid metabolism; Innate immunity; Layer; Selection

References

  1. Trends Endocrinol Metab. 2012 Jul;23(7):351-63 - PubMed
  2. Nucleic Acids Res. 2013 May 1;41(10):e108 - PubMed
  3. Bioinformatics. 2010 Jan 1;26(1):139-40 - PubMed
  4. Prostaglandins Leukot Essent Fatty Acids. 2012 Oct-Nov;87(4-5):103-9 - PubMed
  5. Poult Sci. 2014 Dec;93(12):2953-62 - PubMed
  6. Poult Sci. 1991 May;70(5):1213-22 - PubMed
  7. Sci Signal. 2009 May 26;2(72):re3 - PubMed
  8. Poult Sci. 2014 Dec;93(12):2970-82 - PubMed
  9. Gen Comp Endocrinol. 2004 Mar;136(1):2-11 - PubMed
  10. J Comp Physiol B. 2012 Jul;182(5):591-602 - PubMed
  11. Poult Sci. 2011 Nov;90(11):2557-64 - PubMed
  12. Arch Physiol Biochem. 2011 Jul;117(3):151-64 - PubMed
  13. Poult Sci. 2010 Jul;89(7):1457-67 - PubMed
  14. Genet Sel Evol. 2010 Jun 29;42:25 - PubMed
  15. Nat Protoc. 2016 Sep;11(9):1650-67 - PubMed
  16. Prostaglandins Leukot Essent Fatty Acids. 2014 Dec;91(6):251-60 - PubMed
  17. Clin Dev Immunol. 2008;2008:639803 - PubMed
  18. J Clin Invest. 2005 May;115(5):1290-7 - PubMed
  19. Poult Sci. 2006 May;85(5):837-43 - PubMed
  20. J Lipid Res. 1999 Sep;40(9):1549-58 - PubMed
  21. Mol Cells. 2006 Apr 30;21(2):174-85 - PubMed
  22. Nature. 2005 Feb 3;433(7025):523-7 - PubMed
  23. Nat Rev Immunol. 2008 Dec;8(12):923-34 - PubMed
  24. Science. 2008 Jun 13;320(5882):1492-6 - PubMed
  25. Br J Nutr. 2002 Jul;88(1):11-8 - PubMed
  26. J Nutr. 2000 Dec;130(12):3034-7 - PubMed
  27. Poult Sci. 2003 Oct;82(10):1509-18 - PubMed
  28. Poult Sci. 1997 Aug;76(8):1121-5 - PubMed
  29. J Clin Invest. 2011 Jun;121(6):2111-7 - PubMed
  30. Poult Sci. 2004 Apr;83(4):521-5 - PubMed
  31. Poult Sci. 2009 Dec;88(12):2610-9 - PubMed
  32. J Biol Chem. 1957 May;226(1):497-509 - PubMed
  33. Genet Sel Evol. 2000 Sep-Oct;32(5):521-31 - PubMed

Publication Types