Characterization of gene expression and genetic variation of horse ERBB receptor feedback inhibitor 1 in Thoroughbreds
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Objective: This study aimed to test the expression patterns of ERBB receptor feedback inhibitor 1 (ERRFI1) before and after exercise and the association of non-synonymous single-nucleotide polymorphisms (nsSNPs) of horse ERRFI1 with racing traits in Thoroughbreds. Methods: We performed bioinformatics and gene expression analyses for horse ERRFI1. Transcription factor (TF) binding sites in the 5′-regulatory region of this gene were identified through a tool for prediction of TF-binding site (PROMO). A general linear model was used to detect the association between the nsSNP (LOC42830758 A to G) and race performance. Results: Quantitative polymerase chain reaction analysis showed that expression level of ERRFI1 after exercise was 1.6 times higher than that before exercise. Ten transcription factors were predicted from the ERRFI1 regulatory region. A novel nsSNP (LOC42830758 A to G) was found in ERRFI1, which was associated with three racing traits including average prize money, average racing index, and 3-year-old starts percentile ranking. Conclusion: Our analysis will be helpful as a basis for studying genes and SNPs that affect race performance in racehorses.
Abstract
Objective: This study aimed to test the expression patterns of ERBB receptor feedback inhibitor 1 (ERRFI1) before and after exercise and the association of non-synonymous single-nucleotide polymorphisms (nsSNPs) of horse ERRFI1 with racing traits in Thoroughbreds. Methods: We performed bioinformatics and gene expression analyses for horse ERRFI1. Transcription factor (TF) binding sites in the 5′-regulatory region of this gene were identified through a tool for prediction of TF-binding site (PROMO). A general linear model was used to detect the association between the nsSNP (LOC42830758 A to G) and race performance. Results: Quantitative polymerase chain reaction analysis showed that expression level of ERRFI1 after exercise was 1.6 times higher than that before exercise. Ten transcription factors were predicted from the ERRFI1 regulatory region. A novel nsSNP (LOC42830758 A to G) was found in ERRFI1, which was associated with three racing traits including average prize money, average racing index, and 3-year-old starts percentile ranking. Conclusion: Our analysis will be helpful as a basis for studying genes and SNPs that affect race performance in racehorses.
참고문헌 (31)
- Helgadottir G, "Horse-based tourism community - quality and disinterest in economic value", Scand J Hosp Tour, 8, pp.105~121 (2008)[DOI]
- Andersson LS, "Mutations in DMRT3 alter locomotion in horses and spinal circuit function in mice", Nature, 488, pp.642~646 (2012)[DOI]
- Hill EW, "A sequence polymorphism in MSTN predicts sprinting ability and racing stamina in thoroughbred horses", PLoS ONE, 5, pp.e8645~ (2010)[DOI]
- Hill EW, "Targets of selection in the Thoroughbred genome contain exercise-relevant gene SNPs associated with elite racecourse performance", Anim Genet, 41, pp.56~63 (2010)[DOI]
- Wade CM, "Genome sequence, comparative analysis, and population genetics of the domestic horse", Science, 326, pp.865~867 (2009)[DOI]
- Schroder W, "Candidate genes for physical performance in the horse", Vet J, 190, pp.39~48 (2011)[DOI]
- Hinchcliff KW, "The horse as an athlete: a physiological overview. Equine exercise physiology: The science of exercise in the atheletic horse", pp.2~11 (2008), Elsevier Health Sciences
- Gunn HM, "Muscle, bone and fat proportions and muscle distribution of Thoroughbreds and other horses;Equine exercise physiology 2", pp.264~ (1987)
- Signer-Hasler H, "A genome-wide association study reveals Loci influencing height and other conformation traits in horses", PLoS One, 7, pp.e37282~ (2012)[DOI]
- McCue ME, "A high density SNP array for the domestic horse and extant Perissodactyla: utility for association mapping, genetic diversity, and phylogeny studies", PLoS Genet, 8, pp.e1002451~ (2012)[DOI]
- McPherron AC, "Regulation of skeletal muscle mass in mice by a new TGF-beta superfamily member", Nature, 387, pp.83~90 (1997)[DOI]
- Pilegaard H, "Transcriptional regulation of pyruvate dehydrogenase kinase 4 in skeletal muscle during and after exercise", Proceedings of the Nutrition Society, 63, pp.221~226 (2004)
- 조현우, "Molecular Characterization and Expression Analysis of the Peroxisome Proliferator Activated Receptor Delta (PPARδ) Gene before and after Exercise in Horse", Animal Bioscience, 28(5), pp.697~702 (2015), 아세아·태평양축산학회[DOI]
- Kim H, "Peeling back the evolutionary layers of molecular mechanisms responsive to exercise-stress in the skeletal muscle of the racing horse", DNA Res, 20, pp.287~298 (2013)[DOI]
- 박정웅, "Exercise induced upregulation of glutamate-cysteine ligase catalytic subunit and glutamate-cysteine ligase modifier subunit gene expression in Thoroughbred horses", Animal Bioscience, 30(5), pp.728~735 (2017), 아세아·태평양축산학회[DOI]
- Park KD, "Whole transcriptome analyses of six thoroughbred horses before and after exercise using RNA-Seq", BMC Genomics, 13, pp.473~ (2012)[DOI]
- Makkinje A, "Gene 33", Mig-6, a transcriptionally inducible adapter protein that binds GTP-Cdc42 and activates SAPK, J Biol Chem, pp.2000, 275[DOI]
- Wick M, "Identification of a novel mitogen-inducible gene (mig-6): regulation during G1 progression and differentiation", Exp Cell Res, 219, pp.527~535 (1995)[DOI]
- Zhang YW, "Targeted disruption of Mig-6 in the mouse genome leads to early onset degenerative joint disease", Proc Natl Acad Sci USA, 102, pp.11740~11745 (2005)[DOI]
- Livak KJ, "Analysis of relative gene expression data using real-time quantitative PCR and the <TEX>$2^{-{\Delta}{\Delta}Ct}$<", TEX> method, 2001, pp.25, 402~408
- Ostrowski K, "Proand anti-inflammatory cytokine balance in strenuous exercise in humans", J Physiol, 515, pp.287~291 (1999)[DOI]
- Cannon JG, "Cytokines in exertion-induced skeletal muscle injury", Mol Cell Biochem, 179, pp.159~168 (1998)
- Tidball JG, "Inflammatory cell response to acute muscle injury", Med Sci Sports Exerc, 27, pp.1022~1032 (1995)[DOI]
- Bettelli E, "Foxp3 interacts with nuclear factor of activated T cells and NF-<TEX>${\kappa}B$<", TEX> to repress cytokine gene expression and effector functions of T helper cells, 2005, pp.102, 5138~5143
- Akira S, "Pathogen recognition and innate immunity", Cell, 124, pp.783~801 (2006)[DOI]
- Tamura T, "The IRF family transcription factors in immunity and oncogenesis", Annu Rev Immunol, 26, pp.535~584 (2008)[DOI]
- Lennard Richard ML, "Fli-1 controls transcription from the MCP-1 gene promoter, which may provide a novel mechanism for chemokine and cytokine activation", Mol Immunol, 63, pp.566~573 (2015)[DOI]
- Sato S, "A critical role of the transcription factor fli-1 in murine lupus development by regulation of interleukin-6 expression", Arthritis Rheumatol, 66, pp.3436~3444 (2014)[DOI]
- Donges CE, "Effects of resistance or aerobic exercise training on interleukin-6, C-reactive protein, and body composition", Med Sci Sports Exerc, 42, pp.304~313 (2010)
- Kojima H, "IL-6-inducible complexes on an IL-6 response element of the junB promoter contain Stat3 and 36 kDa CRE-like site binding protein(s)", Oncogene, 12, pp.547~554 (1996)
- Zhang YW, "Mig-6, signal transduction, stress response and cancer", Cell Cycle, 6, pp.507~513 (2007)
