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Asian Journal of Animal and Veterinary Advances

Year: 2016 | Volume: 11 | Issue: 7 | Page No.: 429-433
DOI: 10.3923/ajava.2016.429.433
TaqI Polymorphism in MYF5 Gene and its Association with Body Weight in Friesian Bull Calves
S.M. Nasr , A.I. Ateya , K.M. Sadek and H.A. Radwan

Abstract: Objective: The effect of MYF5 gene polymorphism on body weight was investigated in 100 Friesian bull calves. Methodology: Blood samples were collected from each animal for DNA extraction. The PCR-TaqI digestion of 1190 bp of a fragment of MYF5 gene revealed that, two fragments (983 and 207 bp) for genotype BB, three fragments (1190, 983 and 207 bp) for genotype AB and undigested fragment (1190 bp) for genotype AA. The incidence of MYF5 genotypes and frequencies of alleles were calculated. Results: The AA, AB and BB genotype frequencies in the 100 Friesian bull calves were 0.20, 0.46 and 0.34, respectively and the A and B allele frequencies were 0.43 and 0.57. Statistical analysis indicated that there was highly (p<0.01) significant association between MYF5 genotypes and body weight. The AB genotype was higher in body weight than both BB and AA genotypes. However, there was no significant variation between AB and BB genotypes in the body weight. Conclusion: This study highlights the effect of MYF5/TaqI locus as candidate for body weight in cattle.

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How to cite this article
S.M. Nasr, A.I. Ateya, K.M. Sadek and H.A. Radwan, 2016. TaqI Polymorphism in MYF5 Gene and its Association with Body Weight in Friesian Bull Calves. Asian Journal of Animal and Veterinary Advances, 11: 429-433.

Keywords: PCR-RFLP, body weight, Friesian cattle and MYF5 gene

INTRODUCTION

Dual-purpose cattle selection relied on its milk production and growth traits. However, the importance of growth traits increased over the last years due to higher consumer demands as concerns meat quality and market competition. Differences in body weight are probably due to the variation in different genetic and ecological factors which interact and determine factors for manifestation of such quantitative divergences. A candidate gene access may not only furnish a more channeled understanding the phenotypic expression of this variation between individuals on genetic basis but also offers the identification of SNPs in genes that most likely cause mutation in a phenotypic trait relied on physiological and endocrinological revealing specific candidate gene markers associated with target traits1,2.

Molecular genetic markers have been successfully exploited for animal genetic improvement via identifying and analyzing genes responsible for the principle biosynthetic pathways related to animal growth3. The investigations about polymorphisms in these genes permitted the verification of relatedness between genotypes and growth traits in cattle. A study of RFLP involves comparing the DNA fragments number and size when DNA digested with various restriction enzymes. The restriction enzymes cut the DNA molecule at specific recognition sites, originating a set of fragments with different length that could be separated by conventional gel electrophoresis according to their molecular size4.

Myogenic factor (MYF5) gene belongs to the MYOD family5. One of the characteristics of the onset of skeletal myogenesis is the expression of myogenic factors (MYF), particularly MYF5 and MYOD. The plausible role of MYF5 is the considered to be inherent for innovation, growth, development and sustainment of the phenotype of skeletal muscle. The MYF5 has been fine mapped on cattle chromosome 5 for QTLS for growth traits6. Therefore, it is believed to be candidate gene for growth traits7,8. Several studies reported the MYF5 gene polymorphisms in many cattle breeds and their association with beef production traits particularly growth, carcass and meat quality9-12. Nevertheless, the association between MYF5 gene and body weight in Friesian cattle is scare. Hence, the present study objectives were to reveal the effect TaqI polymorphism in MYF5 gene using PCR-RFLP on body weight in Friesian bull calves.

MATERIALS AND METHODS

Animals and experimental samples: In this study, a total of 100 Friesian bull calves were used. The samples were stored at -20°C until needed for DNA extraction. Based on the farm record, the selected animals were weaned at 90 kg b.wt., have their birth weight ranged from 29-38 kg and their weaning age ranged from 75-100 days. Blood samples were collected into anticoagulant disodium EDTA containing tubes. The genomic DNA was extracted using extraction kit (Jena Bioscience, Germany). This study protocol was approved by the animal welfare and ethics committee, Faculty of Veterinary Medicine, Damnhour University.

MYF5-TaqI polymorphism detection: The PCR was done for amplification of a fragment of MYF5 gene with expected amplicon size of 1190 bp using available sequence information from bovine MYF5 published (GenBank accession No. M95684)13.

Forward: 5’-GATAGCTGGCTGTGAATGAT-3’
Reverse: 5’-CTGGCAACTGGGGAGAGAGAAG-3’

The polymerase chain reaction mixture was done in a 25 μL consisted of: 2 μL DNA, 9.5 μL H2O (dd H2O), 12.5 μL PCR master mix (Jena Bioscience, Germany), 0.5 μL of each primer. The final reaction mixture was achieved in a thermal cycler and the PCR temperature schedule program was carried out by 94°C for 4 min as initial denaturation succeeded by 34 cycles of 94°C for 1 min for denaturation, primer hybridization temperature at 58°C for 1 min, primer extension at 72°C for 1°C and the final elongation at 72°C lasts for 10 min.

The amplified DNA fragments of MYF5 gene were digested with fast digest TaqI (Thermo Scientific, #FD0674) at 65°C for 5 min. The reaction volume was done in 30 μL consisted of: 10 μL PCR product, 17 μL H2O (dd H2O), 2 μL 10x fast digest green buffer, 1 μL restriction enzyme. The obtained cleaved fragments were explored by agarose gel electrophoresis then their patterns were visualized under U.V using gel documentation system.

Statistical analysis
Adjustment or correction of non-genetic factors:
Based on farm records, the calf weaning weight was adjusted to 205 days of age by linear interpolation from birth weight, weaning weight and age. Adjustment was carried out using the following equation14.

where, A is for 205 days weight (kg), B is for the weaning weight (kg), C is for the birth weight (kg) and D is for the weaning age (days).

Association analysis: Statistical analysis was performed using Graphpad statistical software program (Graphpad prism for windows version 5.1, Graphpad software, Inc, Sandiego, CA, USA). General Linear Model (GLM) practice of the statistical analysis system package15 was used for data analysis to determine association of MYF5 genotypes and body weight.

Gene and genotypic frequencies in MYF5 locus: Based on the electrophoresis results, gene and genotypic frequencies were calculated by allele simple counting16. Chi-square was carried out to test Hardy-Weinberg equilibrium and show genotype distribution in the cattle population.

RESULTS

One pair of specific primers was used to amplify specific DNA fragments 1190 bp of MYF5 gene (Fig. 1). Restriction analysis of 1190 bp PCR products digested with TaqI revealed that, two fragments (983 and 207 bp) for genotype BB, three fragments (1190, 983 and 207 bp) for genotype AB and undigested fragment (1190 bp) for genotype AA (Fig. 2).

Using PCR-RFLP method, the population of 100 Friesian bull calves was genetically described. Where, the incidence and frequency of MYF5 genotypes and alleles were calculated. In 100 Friesian bull calves, the genotypic frequencies 0.20, 0.46 and 0.34 were for AA, AB and BB genotypes, respectively and the allelic frequencies 0.43 and 0.57 were for A and B alleles.

Fig. 1: Representative PCR results of MYF5 gene, lane M: DNA marker and lanes 1-7: 1190 bp amplified fragment of MYF5 gene

Fig. 2:Representative TaqI restriction fragment pattern of MYF5 gene (1190 bp). BB: Restriction fragment of 983 and 207 bp, AB: Restriction fragment of 1190, 983 and 207 bp, AA: Restriction fragment of 1190 bp and M: DNA ladder

Table 1: Frequency of genotypes and alleles in the MYF5 locus
Chi-square calculated (χ2) = 0.379-No significant differences, Chi square tabulated (χ2) at DF = 1 and p<0.05 = 3.84

Table 2: Associations of MYF5 genotypes with corrected body weight (LSM±SE)
Means of different levels within the same column having different superscripts are significantly different (p<0.01)

The χ2-test showed that the genotype distributions in the cattle population were in Hardy-Weinberg equilibrium (p<0.05) (Table 1).

Statistical analysis indicated that there was highly significant association (p<0.01) between MYF5 genotypes and body weight. The AB genotype was higher in body weight than both BB and AA genotypes. However, there was no significant variation between AB and BB genotypes in the body weight (Table 2).

DISCUSSION

In this study, PCR amplification of a fragment of MYF5 gene yielded specific PCR product of desirable size (1190 bp). The following DNA restriction fragments were obtained for MYF5-TaqI digestion: Digested (983 and 207 bp) fragments for genotype BB, three fragments (1190, 983 and 207 bp) for genotype AB and undigested fragment (1190 bp) for genotype AA. For a population of 100 Friesian bull calves, the genotypic frequencies 0.20, 0.46 and 0.34 were for AA, AB and BB genotypes, respectively and the allelic frequencies 0.43 and 0.57 were for A and B alleles. The χ2-test showed that the genotype distributions in the cattle population were in Hardy-Weinberg equilibrium (p<0.05). Absence of the significant difference between observed and the expected values for genotype counts indicated the population balanced and follow Hardy-Weinberg equilibrium. This balance may originate from the higher number of the heterozygous genotype (AB) than those homozygous genotypes (AA and BB) which keep the balanced allelic frequencies in the population17. The association between RFLP-TaqI of the MYF5 gene and body weight was studied. The MYF5 genotypes were highly significant (p<0.01) associated with body weight. The AB genotype was higher in body weight than both BB and AA genotypes. However, there was no significant variation between AB and BB genotypes in the body weight.

Several polymorphisms in MYF5 gene were indicated in different cattle breeds by several previous studies. However, most of association analyses reported opposing results or failed to demonstrate any relationship to growth traits9,18-23. The association of the SNP in MYF5 with the body weight traits of Nanyang cattle has been investigated9. The researchers indicated that there was significant association between the identified SNP in MYF5 gene and all body weight traits except birth weight. A significant effect of SNP on the average daily gain of cattle was also reported10.

In another study on RFLP-TaqI of the MYF5 gene and growth traits, association between polymorphism of MYF5 Gene and body weight in Jiaxian, Nanyang and Qinchuan breeds of cattle was studied11. According to results, the DNA restriction fragments were obtained for MYF5-Taq/digestion were similar to that denoted in our study. Allele B at MYF5 locus was dominant in these three populations. The frequency of allele B at MYF5 locus in the three Chinese breeds was 0.8275/0.7581/0.7523, respectively. No statistically significant variations in body weight traits were observed between the genotypes of the Jiaxian and Nanyang breeds at MYF5 locus. However, there were statistically significant differences between the genotypes of the Qinchuan breed. The MYF5 gene polymorphisms and their relatedness with body weight was also reported in Hanwoo (Korean cattle)24. Statistical analysis indicated that there was significant association (0.05) between MYF5 gene polymorphisms and live body weight at 6 months of age (LW6).

CONCLUSION

This study supports the significance effect of MYF5 gene as plausible candidate for body weight in cattle. Moreover, the effectiveness of RFLP as a molecular genetic marker contains great genetic potential resource to improve such trait results in effective selection.

ACKNOWLEDGMENT

The authors thank all members of department of Animal Husbandry and Animal Wealth Development, Faculty of Veterinary Medicine, Damanhour University, Egypt for their kind cooperation.

REFERENCES

  • Noguera, J.L., L. Varona, R.L. Gomez, A. Sanchez and D. Babot et al., 2003. Estrogen receptor polymorphism in Landrace pigs and its association with litter size performance. Livest. Prod. Sci., 82: 53-59.
    CrossRef    Direct Link    


  • Shin, S.C. and E.R. Chung, 2007. Association of SNP marker in the leptin gene with carcass and meat quality traits in Korean Cattle. Asian-Aust. J. Anim. Sci., 20: 1-6.
    CrossRef    Direct Link    


  • Schwerin, M., G. Brockmann, J. Vanselow and H.M. Seyfert, 1995. Perspectives of molecular genome analysis in livestock improvement. Arch. Tierz. Dummerstorf., 38: 21-31.


  • Pereira, F., J. Carneiro and A. Amorim, 2008. Identification of species with DNA-based technology: Current progress and challenges. Recent Pat. DNA. Gene Seq., 2: 187-200.
    PubMed    Direct Link    


  • Te Pas M.F.W. and A.H. Visscher, 1994. Genetic regulation of meat production by embryonic muscle formation-a review. J. Anim. Breed. Genet., 111: 404-412.
    CrossRef    Direct Link    


  • Li, C., J. Basarab, W.M. Snelling, B. Benkel, B. Murdoch and S.S. Moore, 2002. The identification of common haplotypes on bovine chromosome 5 within commercial lines of Bos taurus and their associations with growth traits. J. Anim. Sci., 80: 1187-1194.
    PubMed    Direct Link    


  • Verner, J., P. Humpolicek and A. Knoll, 2007. Impact of MYOD family genes on pork traits in large white and landrace pigs. J. Anim. Breed. Genet., 124: 81-85.
    CrossRef    PubMed    Direct Link    


  • Maak, S., K. Neumann and H.H. Swalve, 2006. Identification and analysis of putative regulatory sequences for the MYF5/MYF6 locus in different vertebrate species. Gene, 379: 141-147.
    CrossRef    Direct Link    


  • Li, C., J. Basarab, W.M. Snelling, B. Benkel, B. Murdoch, C. Hansen and S.S. Moore, 2004. Assessment of positional candidate genes myf5 and igf1 for growth on bovine chromosome 5 in commercial lines of Bos taurus. J. Anim. Sci., 82: 1-7.
    PubMed    Direct Link    


  • Chung, E.R. and W.T. Kim, 2005. Association of SNP marker in IGF-I and MYF5 candidate genes with growth traits in Korean cattle. Asian-Aust. J. Anim. Sci., 18: 1061-1065.
    Direct Link    


  • Zhang, R.F., H. Chen, C.Z. Lei, C.L. Zhang and X.Y. Lan et al., 2007. Association between polymorphisms of MSTN and MYF5 genes and growth traits in three Chinese cattle breeds. Asian-Aust. J. Anim. Sci., 20: 1798-1804.
    Direct Link    


  • Bhuiyan, M.S.A., N.K. Kim, Y.M. Cho, D. Yoon, K.S. Kim, J.T. Jeon and J.H. Lee, 2009. Identification of SNPs in MYOD gene family and their associations with carcass traits in cattle. Livestock Sci., 126: 292-297.
    CrossRef    Direct Link    


  • Barth, J.L., R.A. Worrell, J.M. Crawford, J. Morris and R. Ivarie, 1993. Isolation, sequence and characterization of the bovine myogenic factor-encoding gene myf-5. Gene, 127: 185-191.
    CrossRef    Direct Link    


  • Szabo, F., E. Szaboand and S. Bene, 2012. Statistic and genetic parameters of 205-day weaning weight of beef calves. Arch. Tierz., 6: 552-561.
    Direct Link    


  • SAS Institute, 2002. Software Version 9.1 of the SAS System for Windows. SAS Institute Inc., Cary, NC., USA


  • Falconer, D.S. and T.F.C. Mackay, 1996. Introduction to Quantitative Genetics. 4th Edn., Prentice Hall, Harlow, England, ISBN-13: 9780582243026, Pages: 464
    Direct Link    


  • Abdel-Kafy, E.M., B.A. Hussein, S.M. Abdel-Ghany, A.Y. Gamal El-Din and Y.M. Badawi, 2015. Single nucleotide polymorphisms in growth hormone gene are associated with some performance traits in Rabbit. Int. J. Biol. Pharm. Allied Sci., 4: 490-504.
    Direct Link    


  • Stratil, A and S. Cepica, 1999. Three polymorphisms in the porcine myogenic factor 5 (MYF5) gene detected by PCR‐RFLP. Anim. Genet., 30: 79-80.
    CrossRef    Direct Link    


  • Drogemuller, C. and A. Kempers, 2000. A Taqi PCR-RFLP at the bovine myogenic factor (MYF5) gene. Anim. Genet., Vol. 31.
    CrossRef    


  • Cieslak, D., J. Kuryl, W. Kapelanski, M. Pierzchala, S. Grajewska and M. Bocian, 2002. Relationship between genotypes at at MYOG, MYF3 and MYF5 loci and carcass meat and fat deposition traits in pigs. Anim. Sci. Papers Rep., 20: 77-92.
    Direct Link    


  • Urbanski, P and J. Kuryl, 2004. New SNPs in the coding and 5'flanking regions of porcine MYOD1 (MYF3) and MYF5 genes. J. Applied Genet., 45: 325-329.
    Direct Link    


  • Klosowska, D., J. Kuryl, G. Elminowska-Wenda, W. Kapelanski and K. Walasik et al., 2004. A relationship between the PCR-RFLP polymorphism in porcine MYOG, MYOD1 and MYF5 genes and microstructural characteristics of M. longissimus lumborum in Pietrain x (Polish Large White x Polish Landrace) crosses. Czech J. Anim. Sci., 49: 99-107.


  • Da Silva Carmo, F.M., S.E.F. Guimaraes, P.S. Lopes and A.V. Pires et al., 2005. Association of MYF5 gene allelic variants with production traits in pigs. Genet. Mol. Biol., 28: 363-369.
    CrossRef    Direct Link    


  • Seong, J., D.O. Jae, I.C. Cheong, W.L. Kun and K.L. Hak et al., 2011. Association between polymorphisms of Myf5 and POU1F1 genes with growth and carcass traits in Hanwoo (Korean cattle). Genes Genomics, 33: 425-430.
    CrossRef    Direct Link    

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