Dynamic expression of HSP90B1 mRNA in the hypothalamus of two Chinese chicken breeds under heat stress and association analysis with a SNP in Huainan chickens

https://doi.org/10.17221/8/2016-CJASCitation:Wan Y., Ma C., Wei P., Fang Q., Guo X., Zhou B., Jiang R. (2017): Dynamic expression of HSP90B1 mRNA in the hypothalamus of two Chinese chicken breeds under heat stress and association analysis with a SNP in Huainan chickens. Czech J. Anim. Sci., 62: 82-87.
supplementary materialdownload PDF
The effects of heat stress on HSP90B1 messenger RNA (mRNA) expression in the hypothalamus of chicken were investigated and HSP90B1 variations were detected. Females of two Chinese chicken breeds (Huainan and Wenchang) were used for the experiments. At 64 days of age, the ambient temperature (24 ± 1°C) was increased to 35 ± 1°C for 24 h (heat stress), then decreased to 24 ± 1°C for 24 h (recovery). Hypothalamus samples were collected at 0, 12, and 24 h during heat stress, as well as 12 and 24 h during recovery. The HSP90B1 mRNA expression increased significantly during heat stress and significantly decreased during recovery being higher in Huainan chickens. Fifteen primer pairs were designed to amplify the exons of HSP90B1 by a polymerase chain reaction, and single nucleotide polymorphisms (SNPs) were detected by Sanger sequencing. In Huainan chickens, we identified a SNP (NC_006088.3:g.6798G>A) in exon 14 of HSP90B1 which did not cause amino acid variation but caused a codon for glutamic acid change from GAG to GAA. The frequencies for genotypes AA, GA, and GG were 0.49, 0.27, and 0.24, respectively. Individuals with the GG genotype survived heat stress at 42°C for a longer time (248.2 ± 39.3 min) than individuals with GA and AA genotypes, which survived for 227.2 ± 44.5 min and 179.3 ± 36.5 min, respectively. The results suggested that the increased heat tolerance was associated with the higher expression of HSP90B1, and genotype GG could be used as a potential marker for heat resistance in chickens.
References:
Bartlett , Smith M. (2003): Effects of different levels of zinc on the performance and immunocompetence of broilers under heat stress. Poultry Science, 82, 1580-1588 https://doi.org/10.1093/ps/82.10.1580
 
Benjamin I. J., McMillan D. R. (): Stress (Heat Shock) Proteins : Molecular Chaperones in Cardiovascular Biology and Disease. Circulation Research, 83, 117-132 https://doi.org/10.1161/01.RES.83.2.117
 
Bhat Rohit, Tummalapalli Sreedhar R., Rotella David P. (2014): Progress in the Discovery and Development of Heat Shock Protein 90 (Hsp90) Inhibitors. Journal of Medicinal Chemistry, 57, 8718-8728 https://doi.org/10.1021/jm500823a
 
Capon F. (2004): A synonymous SNP of the corneodesmosin gene leads to increased mRNA stability and demonstrates association with psoriasis across diverse ethnic groups. Human Molecular Genetics, 13, 2361-2368 https://doi.org/10.1093/hmg/ddh273
 
Charoensook Rangsun, Gatphayak Kesinee, Sharifi Ahmad Reza, Chaisongkram Chavin, Brenig Bertram, Knorr Christoph (2012): Polymorphisms in the bovine HSP90AB1 gene are associated with heat tolerance in Thai indigenous cattle. Tropical Animal Health and Production, 44, 921-928 https://doi.org/10.1007/s11250-011-9989-8
 
Chen G.H. (2004): Genetic resources of Chinese poultry. In: Yang N.: Indigenous Avian Breeds. Shanghai Scientific and Technical Publishing, Shanghai, China, 18–21. (in Chinese)
 
Chen Zhuo-Yu, Gan Jian-Kang, Xiao Xiong, Jiang Li-Yan, Zhang Xi-Quan, Luo Qing-Bin (2013): The association of SNPs in Hsp90β gene 5′ flanking region with thermo tolerance traits and tissue mRNA expression in two chicken breeds. Molecular Biology Reports, 40, 5295-5306 https://doi.org/10.1007/s11033-013-2630-3
 
Cooper M. A., Washburn K. W. (1998): The relationships of body temperature to weight gain, feed consumption, and feed utilization in broilers under heat stress. Poultry Science, 77, 237-242 https://doi.org/10.1093/ps/77.2.237
 
DEO AMEYA, CARLSSON JESSICA, LINDLÖF ANGELICA (2011): HOW TO CHOOSE A NORMALIZATION STRATEGY FOR MIRNA QUANTITATIVE REAL-TIME (QPCR) ARRAYS. Journal of Bioinformatics and Computational Biology, 09, 795-812 https://doi.org/10.1142/S0219720011005793
 
Figueiredo Denise, Gertler Arieh, Cabello Gérard, Decuypere Eddy, Buyse Johan, Dridi Sami (2007): Leptin downregulates heat shock protein-70 (HSP-70) gene expression in chicken liver and hypothalamus. Cell and Tissue Research, 329, 91-101 https://doi.org/10.1007/s00441-007-0414-6
 
Hao Y., Gu X. H. (): Effects of heat shock protein 90 expression on pectoralis major oxidation in broilers exposed to acute heat stress. Poultry Science, 93, 2709-2717 https://doi.org/10.3382/ps.2014-03993
 
Kregel Kevin C. (): Invited Review: Heat shock proteins: modifying factors in physiological stress responses and acquired thermotolerance. Journal of Applied Physiology, 92, 2177-2186 https://doi.org/10.1152/japplphysiol.01267.2001
 
Laws Simon M., Hone Eugene, Gandy Sam, Martins Ralph N. (2003): Expanding the association between the APOE gene and the risk of Alzheimer's disease: possible roles for APOE promoter polymorphisms and alterations in APOE transcription. Journal of Neurochemistry, 84, 1215-1236 https://doi.org/10.1046/j.1471-4159.2003.01615.x
 
Lee Suk-Yeong, Tsai Francis T.F. (2005): Molecular Chaperones in Protein Quality Control. Journal of Biochemistry and molecular biology, 38, 259-265 https://doi.org/10.5483/BMBRep.2005.38.3.259
 
Lei Lei, Yu Jimian, Bao Endong (2009): Expression of heat shock protein 90 (Hsp90) and transcription of its corresponding mRNA in broilers exposed to high temperature. British Poultry Science, 50, 504-511 https://doi.org/10.1080/00071660903110851
 
Li Qiuling, Han Jianbo, Du Fanglei, Ju Zhihua, Huang Jinming, Wang Ji, Li Rongling, Wang Changfa, Zhong Jifeng (2011): Novel SNPs in HSP70A1A gene and the association of polymorphisms with thermo tolerance traits and tissue specific expression in Chinese Holstein cattle. Molecular Biology Reports, 38, 2657-2663 https://doi.org/10.1007/s11033-010-0407-5
 
Lu Q., Wen J., Zhang H. (2007): Effect of Chronic Heat Exposure on Fat Deposition and Meat Quality in Two Genetic Types of Chicken. Poultry Science, 86, 1059-1064 https://doi.org/10.1093/ps/86.6.1059
 
Ritossa F. (1962): A new puffing pattern induced by temperature shock and DNP in drosophila. Experientia, 18, 571-573 https://doi.org/10.1007/BF02172188
 
Ryder A. A., Feddes J. J. R., Zuidhof M. J. (2004): Field Study to Relate Heat Stress Index to Broiler Performance. The Journal of Applied Poultry Research, 13, 493-499 https://doi.org/10.1093/japr/13.3.493
 
Rimoldi Simona, Lasagna Emiliano, Sarti Francesca Maria, Marelli Stefano Paolo, Cozzi Maria Cristina, Bernardini Giovanni, Terova Genciana (2015): Expression profile of six stress-related genes and productive performances of fast and slow growing broiler strains reared under heat stress conditions. Meta Gene, 6, 17-25 https://doi.org/10.1016/j.mgene.2015.08.003
 
Soleimani A.F., Zulkifli I. (2010): Effects of High Ambient Temperature on Blood Parameters in Red Jungle Fowl, Village Fowl and Broiler Chickens. Journal of Animal and Veterinary Advances, 9, 1201-1207 https://doi.org/10.3923/javaa.2010.1201.1207
 
St-Pierre N.R., Cobanov B., Schnitkey G. (2003): Economic Losses from Heat Stress by US Livestock Industries. Journal of Dairy Science, 86, E52-E77 https://doi.org/10.3168/jds.S0022-0302(03)74040-5
 
Sun Hongyan, Jiang Runshen, Xu Shengyou, Zhang Zebin, Xu Guiyun, Zheng Jiangxia, Qu Lujiang (2015): Transcriptome responses to heat stress in hypothalamus of a meat-type chicken. Journal of Animal Science and Biotechnology, 6, 6- https://doi.org/10.1186/s40104-015-0003-6
 
Tu W.L., Cheng C.Y., Wang S.H., Tang P.C., Chen C.F., Chen H.H., Lee Y.P., Chen S.E., Huang S.Y. (2015): Profiling of differential gene expression in the hypothalamus of broiler-type Taiwan country chickens in response to acute heat stress. Theriogenology, 85, 483–494.
 
Yu Jimian, Bao Endong, Yan Jianyan, Lei Lei (2008): Expression and localization of Hsps in the heart and blood vessel of heat-stressed broilers. Cell Stress and Chaperones, 13, 327-335 https://doi.org/10.1007/s12192-008-0031-7
 
supplementary materialdownload PDF

© 2018 Czech Academy of Agricultural Sciences