Hostname: page-component-78c5997874-ndw9j Total loading time: 0 Render date: 2024-11-05T16:34:20.798Z Has data issue: false hasContentIssue false
  • English
  • Français

SNPs detected in the yak MC4R gene and their association with growth traits

Published online by Cambridge University Press:  11 March 2015

X. Cai ,
T. D. Mipam ,
F. F. Zhao  and
L. Sun
X. Cai*
Affiliation:
School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang 621010, China
T. D. Mipam
Affiliation:
College of Life Science and Technology, Southwest University for Nationalities, Chengdu 610041, China
F. F. Zhao
Affiliation:
School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang 621010, China
L. Sun
Affiliation:
School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang 621010, China
*
†E-mail: [email protected]
Get access

Abstract

MC4R (melanocortin 4 receptor) is expressed in the appetite-regulating areas of the brain and takes part in leptin signaling pathways. Sequencing of the coding region of the MC4R gene for 354 yaks identified the following five single nucleotide polymorphisms (SNPs): SNP1 (273C>T), SNP2 (321 G>T), SNP3 (864 C>A), SNP4 (1069G>C) and SNP5 (1206 G>C). SNP1, SNP2 and SNP3 were synonymous mutations, whereas SNP4 and SNP5 were missense mutations resulting in amino acid substitutions (V286L and R331S). Pairwise linkage disequilibrium (LD) analysis indicated that two pairs of SNPs, SNP2 and SNP5 (r2=0.81027) and SNP4 and SNP5 (r2=0.53816), exhibited higher degrees of LD. CC genotype of SNP4, CGACG and CTCCC haplotypes for all SNPs were associated with increased BW of animals that were 18 months old and with the average daily gain. The secondary structure and transmembrane region prediction of the yak MC4R protein suggested that SNP4 was correlated with influential changes in the seventh transmembrane domain of the MC4R protein and with the functional deterioration or even incapacitation of MC4R, which may contribute to the increased feed intake, BW and average daily gain of the yaks with CC genotypes. The data from this study suggested that 1069G>C SNP of the MC4R gene could be used in marker-assisted selection of growth traits in the Maiwa yak breed.

Keywords

Maiwa yakMC4R geneSNPsgrowth traits
Type
Research Article
Information
animal , Volume 9 , Issue 7 , July 2015 , pp. 1097 - 1103
Copyright
© The Animal Consortium 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

*

These are the first co-authors.

References

Barsh, GS, Farooqi, IS and Rahilly, SO 2000. Genetics of bodyweight regulation. Nature 404, 644–651.CrossRefGoogle Scholar
Cai, X and Mipam, TD 2013. Nucleotide and predicted protein structure analysis of MC4R gene of yak. Sucuan Journal of Zoology 32, 898–903. (In Chinese with English abstract).Google Scholar
Cai, X, Mipam, TD, Zhang, HR and Yue, BS 2011. Abandant variations of MC4R gene revealed by phylogenies of yak (Bos grunniens) and other mammals. Molecular Biology Reports 38, 2733–2738.Google Scholar
Du, XH, Chen, C, Yuan, ZR, Zhang, LM, Chen, XJ, Wang, YH, Gao, X, Zhang, LP, Gao, HJ, Li, JY and Xu, SZ 2013. Genetic polymorphisms of MC4R and IGF2 gene association with feed conversion efficiency traits in beef cattle. Pakistan Veterinary Journal 33, 418–422.Google Scholar
Haegeman, A, Coopman, F, Jacobs, K, Mattheeuws, M, Van Zeveren, A and Peelman, L 2001. Bovine melanocortin receptor 4: cDNA sequence, polymorphisms and mapping. Animal Genetics 32, 189–192.Google Scholar
Hernandez-Sanchez, J, Visscher, P, Plastow, G and Haley, C 2003. Candidate gene analysis for quantitative traits using the transmission disequilibrium test: the example of the melanocortin 4-receptor in pigs. Genetics 164, 637–644.Google Scholar
Houston, RD, Cameron, ND and Rance, KA 2004. A melanocortin four receptor (MC4R) polymorphism is associated with performance traits in divergently selected large white pig populations. Animal Genetics 35, 386–390.Google Scholar
Huang, M, Gao, X, Li, JY, Ren, HY, Chen, JB and Xu, SZ 2010. Polymorphisms in MC4R gene and correlations with economic traits in cattle. Molecular Biology Reports 37, 3941–3944.CrossRefGoogle ScholarPubMed
Hughes, DA, Hinney, A, Brumm, H, Wermter, AK, Biebermann, H, Hebebrand, J and Stoneking, M 2009. Increased constraints on MC4R during primate and human evolution. Human Genetics 124, 633–647.CrossRefGoogle ScholarPubMed
Kumar, S, Dudley, J, Nei, M and Tamura, K 2008. MEGA: a biologist-centric software for evolutionary analysis of DNA and protein sequences. Briefings in Bioinformatics 9, 299–306.Google Scholar
Librado, P and Rozas, J 2009. DnaSP v 5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics 25, 1451–1452.Google Scholar
Liu, H, Tian, W, Zan, L, Wang, H and Cui, H 2010. Mutations of MC4R gene and its association with economic traits in Qinchuan cattle. Molecular Biology Reports 37, 535–540.Google Scholar
Pérusse, L, Rankinen, T, Zuberi, A, Chagnon, YC, Weisnagel, SJ, Argyropoulos, G, Walts, B, Snyder, EE and Bouchard, C 2005. The human obesity gene map: the 2004 update. Obesity Research 13, 381–490.Google Scholar
Sambrook, J, Fritsch, EF and Maniatis, T 1989. Molecular cloning: a laboratory manual, 2nd edition. Cold Spring Harbor Laboratory Press, Cold Spring Harbor, NY.Google Scholar
Seeley, RJ, Drazen, DL and Clegg, DJ 2004. The critical role of the melanocortin system in the control of energy balance. Annual Review of Nutrition 24, 133–149.Google Scholar
Seong, J, Suh, DS, Park, KD, Lee, HK and Kong, HS 2012. Identification and analysis of MC4R polymorphisms and their association with economic traits of Korean cattle (Hanwoo). Molecular Biology Reports 39, 3597–3601.CrossRefGoogle ScholarPubMed
Tajima, F 1989. Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics 123, 585–595.Google Scholar
Thompson, JD, Gibson, TJ, Plewniak, F, Jeanmougin, F and Higgins, DG 1997. The Clustal X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tool. Nucleic Acids Research 25, 4876–4882.CrossRefGoogle Scholar
Van den Maagdenberg, K, Stinckens, A, Claeys, E, Seynaeve, M, Clinquart, A, Georges, M, Buys, N and De Smet, S 2007. The Asp298Asn missense mutation in the porcine melanocortin-4 receptor (MC4R) gene can be used to affect growth and carcass traits without an effect on meat quality. Animal 1, 1089–1098.Google Scholar
Yamasaki, M, Tenaillon, MI, Bi, IV, Schroeder, SG, Sanchez, VH and Doebley, JF 2005. A large-scale screen for artificial selection in maize identifies candidate agronomic loci for domestication and crop improvement. Plant Cell 17, 2859–2872.Google Scholar
Zhang, CL, Wang, YH, Chen, H, Lan, XY, Lei, CZ and Fang, XT 2009. Association between variants in the 5'-untranslated region of the bovine MC4R gene and two growth traits in Nanyang cattle. Molecular Biology Reports 36, 1839–1843.CrossRefGoogle ScholarPubMed
Zhou, M, Lei, M, Rao, Y, Nie, Q, Zeng, H and Xia, M 2008. Polymorphisms of vasoactive intestinal peptide receptor-1 gene and their genetic effects on broodiness in chickens. Poultry Science 87, 893–903.Google Scholar