Genetic polymorphisms in part of intron 7 and exon 8 of HSP90AA1 gene and its association with heat tolerance traits in two exotic layer chicken strains

  • Young I. IrivbojeEmail author
  • M. T. Sanni
  • A. O. Fafiolu
  • O. Olowofeso
  • C. O. N. Ikeobi
Regular Articles


Chickens, like other vertebrates, react to stress conditions through their cultured cells by expressing heat shock proteins (HSPs). Genetic association of single-nucleotide polymorphisms (SNPs) in HSPs with desirable traits will reveal their importance as potential genetic markers. Blood samples were collected from 50 birds per strain for DNA extraction, polymerase chain reaction amplification and sequencing of the HSP90AA1 gene. SNPs were detected using Codoncode Aligner. Association of each SNP with heat tolerance traits was analysed using generalized linear model procedure of SAS. A total of seven SNPs were detected, four SNPs; A7T, A160T, T223A and C134T were detected in part of intron 7 to exon 8 of HSP90AA1 gene of BRD while three A160T, T223A and C134T were detected in HYL. SNPC134T, a synonymous variant, was detected in exon 8. Only SNPA7T was in Hardy-Weinberg equilibrium (X2 = 0.03) but had no association with the traits measured. Polymorphic information content calculated showed SNPA160T to be moderately polymorphic; other SNPs were lowly polymorphic. Heterozygosity for SNPs-A160T and T223A of BRD showed moderate genetic variation while the other SNPs and those in HYL recorded low genetic variation. The study concluded that the SNPs detected were majorly lowly polymorphic and also the SNP locus A7T in intron 7 of HSP90AA1 of BRD had no genetic association with heat tolerance traits.


HSP90AA1 Single-nucleotide polymorphism (SNP) Exon Intron Heat tolerance traits Layers 


Funding information

The World Bank Africa Centre of Excellence in Agricultural Development and Sustainable Environment anchored in the Federal University of Agriculture, Abeokuta. Ogun State, Nigeria, sponsored this project (Sponsor ID No: ACE 023).

Compliance with ethical standards

Ethical approval

The experiment was conducted following the code of ethics for animal experimentation with prior approval by the University’s Animal Ethics Committee.

Conflict of interest

The authors declare that they have no conflict of interest.


  1. Ayo, J.O. Obidi, J.A. and Rekwot, P.I. 2011. Effects of Heat Stress on theWell-Being, Fertility, and Hatchability of Chickens in the Northern Guinea Savannah Zone of Nigeria: A Review. International Scholarly Research Network ISRN Veterinary Science Volume 2011, Article ID 838606, 10 pages doi:10.5402/2011/838606.CrossRefGoogle Scholar
  2. Botstein D., White R.L., Skolnick M.H., Davies R.W. 1980. Construction of a genetic linkage map in man using restriction fragment length polymorphism. America Journal of Human Genetics. 32: 314–331.Google Scholar
  3. Craig, E. 1985. The heat shock response. Critical Review of Biochemistry. 18:239–280.CrossRefGoogle Scholar
  4. Dominant CZ. 2014. Parent Stock; Common Management Guide, Layers Programmes. Lazne Bohdanec. Czech Republic. 119: 533 41. Accessed 12 June 2015.
  5. EL-Gendy, E. and Washburn, K.W. 1995. Genetic variation in body temperature and its response to short-term acute heat stress in broilers. Poultry Science. 74:225–230.CrossRefGoogle Scholar
  6. FAOSTAT. 2007. Food and Agricultural Organization statistical databases. CDROM.Google Scholar
  7. Finch, V.A., 1986. Body temperature in beef cattle, its control and relevance to production in Tropics. Journal of Animal Science. 62: 531–538CrossRefGoogle Scholar
  8. GuhaThakurta, D., Xie, T., Anand, M., Edwards, S., Li, G., Wang, S. and Schadt, E. 2006. Cis-regulatory variations: a study of SNPs around genes showing cis-linkage in segregating mouse populations. BMC Genomics. 7(1):235.CrossRefGoogle Scholar
  9. Gupta R.S. 1995. Phylogenetic analysis of the 90 kD heat shock family of protein sequences, an examination of the relationship among animals, plants, fungi species. Mol. Biol. Evol. 12(6):1062–1073. CrossRefGoogle Scholar
  10. Hagmann, M. 1999. A good SNP may be hard to find. Science. 285(5424): 21–22.CrossRefGoogle Scholar
  11. Hall, T.A. 1999. BioEdit: A user-friendly biological sequence alignment editor and analysis program for windows 95/98/NT. Nuclei Acids Symposium. 41: 95–98.Google Scholar
  12. Hyline. 2014. Hyline Brown: Management guide, Commercial Layers. Hyline International. Google Scholar
  13. Kalmar, B. and Greensmith, L. 2009. Induction of heat shock proteins for protection against oxidative stress. Advanced Drug Delivery Review. 61, 310–318.CrossRefGoogle Scholar
  14. Kumar, R., Gupta I. D, Verma, A, Verma, N, Vineeth, M.R. 2015. Genetic polymorphisms within exon 3 of heat shock protein 90AA1 gene and its association with heat tolerance traits in Sahiwal cows. Veterinary World 8(7):932–936.CrossRefGoogle Scholar
  15. Kumar, R., Gupta, I. D., Verma, A., Verma, N. and Vineeth, M. R. 2017. Single nucleotide polymorphisms in Heat Shock Protein (HSP) 90AA1 gene and their association with heat tolerance traits in Sahiwal cows. Indian Journal of Animal Research. 51 (1) 64–69. Scholar
  16. Leandro, N.S.M., Gonzales, E., Ferro, J.A., Ferro, M.I.T., Givisiez, P.E.N., and Macari, M., 2004. Expression of heat shock protein in broiler embryo tissues after acute cold or heat stress. Molecular Reproduction and Development. 67:172–177.CrossRefGoogle Scholar
  17. Liu, Y., Li, D., Li, H., Zhou, X. and Wang, G. 2011. A novel SNP of the ATP1A1 gene is associated with heat tolerance traits in dairy cows. Molecular Biology Reports. 38:83–88.CrossRefGoogle Scholar
  18. Marcos-Carcavilla, A., Mutikainen, M., González, C., Jorge, H., Calvo, J., Kantanen, A., Nurbiy, S., Marzanov-María, D. and Magdalena Serrano, J.B. 2010. A SNP in the HSP90AA1 gene 5′ flanking region is associated with the adaptation to differential thermal conditions in the ovine species. Cell Stress Chaperones. 15: 67–81.CrossRefGoogle Scholar
  19. Maurano, M.T., Humbert, R., Rynes, E., Thurman, R.E., Haugen, E., Wang, H., Reynolds, A.P., Sandstrom, R., Qu, H., Brody, J. 2012. Systematic localization of common disease-associated variation in regulatory DNA. Science. 337: 1190–1195.CrossRefGoogle Scholar
  20. Millar, D.S., Horan, M., Chuzhanova, N.A. and Cooper, D.N. 2010. Characterization of a functional intronic polymorphism in the human growth hormone (GH1) gene. Human Genomics. 4: 289–301.CrossRefGoogle Scholar
  21. Pearl, L.H. and Prodromou, C. 2006. Structure and mechanism of the HSP90 molecular chaperone machinery. In Annual Review of Biochemistry; Annual Reviews: Palo Alto. 75: 271–294.CrossRefGoogle Scholar
  22. Pescatello, L.S. and Roth S.M. (eds.). 2011. Exercise Genomics, Molecular and Translational Medicine, Humana Press. 287. ISBN: 9781607613541.Google Scholar
  23. Reddacliff, L.A., Beh, K., Mc Gregor, H. and Whittington, R.J. 2005. A preliminary study of possible genetic influences on the susceptibility of sheep to Johne’s disease. Australian Veterinary Journal. 83:435–441.CrossRefGoogle Scholar
  24. Sailo, L. and Gupta, L.D., Archana Verma, Ramendra Das and M. V. Chaudhar, 2015. Association of single nucleotide polymorphism of HSP90ab1 gene with thermotolerance and milk yield in Sahiwal cows. African Journal of Biochemistry Research. 9(8): 99–103, CrossRefGoogle Scholar
  25. SAS, 2009. Statistical Analysis System User’s Guide. Statistical Analysis Institute, Inc., Cary, North Carolina.Google Scholar
  26. Sauna, Z.E., Kimchi-Sarfaty, C., Ambudkar, S.V. and Gottesman, M.M. 2007. Silent polymorphisms speak: how they affect pharmacogenomics and the treatment of cancer. Cancer Research. 67, 9609–9612.CrossRefGoogle Scholar
  27. Thompson, J.D., Gibson, T.J., Plewniak, F., Jeanmougin, F. and Higgins, D.G. 1997. The CLUSTAL_X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools. Nucleic Acids Research. 25, 4876–4882.CrossRefGoogle Scholar
  28. Timperio, A.M.; Eqidi, M.G.; Zolla, L. 2008. Proteomics applied on plant abiotic stresses: Role of heat shock proteins (HSP). Journal of Proteomics. 71:391–411.CrossRefGoogle Scholar
  29. Yalçin, S., Ozkan, S., Cabuk, M., Buyse, J., Ducuypere, E., and Siegel, P.B. 2005. Pre- and post-natal conditioning responses and relative asymmetry of broilers originating from young and old breeder flocks. Poultry Science. 84: 967–976.CrossRefGoogle Scholar

Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.World Bank Centre of Excellence in Agricultural Development and Sustainable EnvironmentFederal University of AgricultureAbeokutaNigeria
  2. 2.Department of Animal Breeding and geneticsFederal University of AgricultureAbeokutaNigeria
  3. 3.Department of Animal NutritionFederal University of AgricultureAbeokutaNigeria

Personalised recommendations