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Association of a missense mutation in the positional candidate gene glutamate receptor-interacting protein 1 with backfat thickness traits in pigs

  • Lee, Jae-Bong (Korea Zoonosis Research Institute (KoZRI), Chonbuk National University) ;
  • Park, Hee-Bok (Subtropical Livestock Research Institute, National Institute of Animal Science) ;
  • Yoo, Chae-Kyoung (Institute of Agriculture and Life Science, Gyeongsang National University) ;
  • Kim, Hee-Sung (Division of Applied Life Science (BK21 plus), Gyeongsang National University) ;
  • Cho, In-Cheol (Subtropical Livestock Research Institute, National Institute of Animal Science) ;
  • Lim, Hyun-Tae (Institute of Agriculture and Life Science, Gyeongsang National University)
  • Received : 2016.05.30
  • Accepted : 2016.12.16
  • Published : 2017.08.01

Abstract

Objective: Previously, we reported quantitative trait loci (QTLs) affecting backfat thickness (BFT) traits on pig chromosome 5 (SW1482-SW963) in an F2 intercross population between Landrace and Korean native pigs. The aim of this study was to evaluate glutamate receptor-interacting protein 1 (GRIP1) as a positional candidate gene underlying the QTL affecting BFT traits. Methods: Genotype and phenotype analyses were performed using the 1,105 $F_2$ progeny. A mixed-effect linear model was used to access association between these single nucleotide polymorphism (SNP) markers and the BFT traits in the $F_2$ intercross population. Results: Highly significant associations of two informative SNPs (c.2442 T>C, c.3316 C>G [R1106G]) in GRIP1 with BFT traits were detected. In addition, the two SNPs were used to construct haplotypes that were also highly associated with the BFT traits. Conclusion: The SNPs and haplotypes of the GRIP1 gene determined in this study can contribute to understand the genetic structure of BFT traits in pigs.

Keywords

References

  1. Lee KT, Byun MJ, Kang KS, et al. Neuronal genes for subcutaneous fat thickness in human and pig are identified by local genomic sequencing and combined SNP association study. PLOS ONE 2011;6:e16356. https://doi.org/10.1371/journal.pone.0016356
  2. Fujii J, Otsu K, Zorzato F, et al. Identification of a mutation in porcine ryanodine receptor associated with malignant hyperthermia. Science 1991;253:448-51. https://doi.org/10.1126/science.1862346
  3. Zhang YH, Dai LS, Ma TH, et al. Association of T1740C polymorphism of L-FABP with meat quality traits in Junmu No. 1 white swine. Genet Mol Res 2013;12:235-41. https://doi.org/10.4238/2013.January.30.9
  4. Fontanesi L, Scotti E, Buttazzoni L, Davoli R, Russo V. The porcine fat mass and obesity associated (FTO) gene is associated with fat deposition in Italian Duroc pigs. Anim Genet 2009;40:90-3. https://doi.org/10.1111/j.1365-2052.2008.01777.x
  5. Hernandez-Sanchez J, Visscher P, Plastow G, Haley C. Candidate gene analysis for quantitative traits using the transmission disequilibrium test: the example of the melanocortin 4-receptor in pigs. Genetics 2003;164:637-44.
  6. Kang K, Cahyadi M, Park HB, et al. Association of variation in the mc4r gene with meat quality traits in a commercial pig population. J Fac Agric Kyushu Univ 2015;60:113-8.
  7. Yu TP, Tuggle CK, Schmitz CB, Rothschild MF. Association of PIT1 polymorphisms with growth and carcass traits in pigs. J Anim Sci 1995;73:1282-8. https://doi.org/10.2527/1995.7351282x
  8. Stancekova K, Vasicek D, Peskovivova D, Bulla J, Kubek A. Effect of genetic variability of the porcine pituitary-specific transcription factor (PIT-1) on carcas traits in pigs. Anim Genet 1999;30:313-5. https://doi.org/10.1046/j.1365-2052.1999.00484.x
  9. Song C, Gao B, Teng Y, et al. MspI polymorphisms in the 3rd intron of the swine POU1F1 gene and their associations with growth performance. J Appl Genet 2005;46:285-9.
  10. Milan, D, Jeon JT, Looft C, et al. A mutation in PRKAG3 associated with excess glycogen content in pig skeletal muscle. Science 2000;288: 1248-51. https://doi.org/10.1126/science.288.5469.1248
  11. Ciobanu D, Bastiaansen J, Malek M, et al. Evidence for new alleles in the protein kinase adenosine monophosphate-activated ${\gamma}$3-subunit gene associated with low glycogen content in pig skeletal muscle and improved meat quality. Genetics 2001;159:1151-62.
  12. Ryan MT, Hamill RM, O'Halloran AM, et al. SNP variation in the promoter of the PRKAG3 gene and association with meat quality traits in pig. BMC Genet 2012;13:66.
  13. Yoo CK, Lim HT, Han SH, et al. QTL analysis of back fat thickness and carcass pH in an $F_2$ intercross between Landrace and Korean native pigs. Mol Biol Rep 2012;39:8327-33. https://doi.org/10.1007/s11033-012-1682-0
  14. Bruckner K, Labrador JP, Scheiffele P, et al. EphrinB ligands recruit GRIP family PDZ adaptor proteins into raft membrane microdomains. Neuron 1999;22:511-24. https://doi.org/10.1016/S0896-6273(00)80706-0
  15. Setou M, Seog DH, Tanaka Y, et al. Glutamate-receptor-interacting protein GRIP1 directly steers kinesin to dendrites. Nature 2002;417: 83-7. https://doi.org/10.1038/nature743
  16. Dong H, Zhang P, Song I, et al. Characterization of the glutamate receptor-interacting proteins GRIP1 and GRIP2. J Neurosci 1999;19: 6930-41. https://doi.org/10.1523/JNEUROSCI.19-16-06930.1999
  17. Delgado T. Glutamate and GABA in appetite regulation. Front Endocrinol 2013;4.
  18. Wu Q, Clark MS, Palmiter RD. Deciphering a neuronal circuit that mediates appetite. Nature 2012;483:594-7. https://doi.org/10.1038/nature10899
  19. Cho IC, Park HB, Yoo CK, et al. QTL analysis of white blood cell, platelet and red blood cell-related traits in an $F_2$ intercross between Landrace and Korean native pigs. Anim Genet 2011;42:621-6. https://doi.org/10.1111/j.1365-2052.2011.02204.x
  20. Henderson C. Application of linear model in animal breeding. Guelph, Canada: University of Guelph, 1984.
  21. Gilmour AR, Thompson R, Cullis BR. Average information REML: an efficient algorithm for variance parameter estimation in linear mixed models. Biometrics 1995;51:1440-50. https://doi.org/10.2307/2533274
  22. Li J, Jiang T. Computing the minimum recombinant haplotype configuration from incomplete genotype data on a pedigree by integer linear programming. J Comput Biol 2005;12:719-39. https://doi.org/10.1089/cmb.2005.12.719
  23. Liu SJ, Cull-Candy SG. Subunit interaction with PICK and GRIP controls $Ca^{2+}$ permeability of AMPARs at cerebellar synapses. Nat Neurosci 2005;8:768-75. https://doi.org/10.1038/nn1468
  24. Kohli DK, Bachhawat AK. CLOURE: Clustal output reformatter, a program for reformatting ClustalX/ClustalW outputs for SNP analysis and molecular systematics. Nucleic Acids Res 2003;31:3501-2. https://doi.org/10.1093/nar/gkg502

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