Skip to main content
SpringerLink
Log in

Multivariate genome-wide association studies on tenderness of Berkshire and Duroc pig breeds

  • Research Article
  • Published:
Genes & Genomics Aims and scope Submit manuscript

Abstract

Genome-wide association studies (GWAS) have been steadily used for identification of genomic links to disease and various economical traits. Of those traits, a tenderness of pork is one of the most important factors in quality evaluation of consumers. In this study, we use two pig breed populations; Berkshire is known for its excellent meat quality and Duroc which is known for its high intramuscular fat content in meat. Multivariate genome-wide association studies (MV-GWAS) was executed to compare SNPs of two pigs to find out what genetic variants occur the tenderness of pork. Through MV-GWAS, we have identified candidate genes and the association of biological pathways involved in the tenderness of pork. From these direct and indirect associations, we displayed the usefulness of simple statistical models and their potential contribution to improving the meat quality of pork. We identified a candidate gene related to the tenderness in only Berkshire. Furthermore, several of the biological pathways involved in tenderness in both Berkshire and Duroc were found. The candidate genes identified in this study will be helpful to use them in breeding programs for improving pork quality.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Andersson L (2001) Genetic dissection of phenotypic diversity in farm animals. Nat Rev Genet 2:130–138

    Article  PubMed  CAS  Google Scholar 

  • Andersson L, Georges M (2004) Domestic-animal genomics: deciphering the genetics of complex traits. Nat Rev Genet 5:202–212

    Article  PubMed  CAS  Google Scholar 

  • Davis W, Ohno Y (2010) Color quality scale. Opt Eng 49:033602-033602-033616

    Article  CAS  Google Scholar 

  • De Vries AG, Faucitano L, Sosnicki A, Plastow GS (2000) The use of gene technology for optimal development of pork meat quality. Food Chem 69:397–405

    Article  Google Scholar 

  • Galesloot TE, van Steen K, Kiemeney LALM., Janss LL, Vermeulen SH (2014) A comparison of multivariate genome-wide association methods. PLoS ONE 9:e95923

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Goodwin R, Burroughs S (1995) Genetic evaluation terminal line program results. National Pork Producers Council, Des Moines

    Google Scholar 

  • Hamill RM, McBryan J, McGee C, Mullen AM, Sweeney T, Talbot A, Cairns MT, Davey GC (2012) Functional analysis of muscle gene expression profiles associated with tenderness and intramuscular fat content in pork. Meat Sci 92:440–450

    Article  PubMed  CAS  Google Scholar 

  • Iqbal A, Kim YS, Kang JM, Lee YM, Rai R, Jung JH, Oh DY, Nam KC, Lee HK, Kim JJ (2015) Genome-wide association study to identify quantitative trait loci for meat and carcass quality traits in Berkshire. Asian-Australas J Anim Sci 28:1537–1544

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Lee T, Shin D-H, Cho S, Kang HS, Kim SH, Lee H-K, Kim H, Seo K-S (2014) Genome-wide association study of integrated meat quality-related traits of the duroc pig breed. Asian-Australas J Anim Sci 27:303–309

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Luo W et al (2012) Genome-wide association analysis of meat quality traits in a porcine Large White × Minzhu intercross population. Int J Biol Sci 8:580

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Rosenvold K, Andersen HJ (2003) Factors of significance for pork quality—a review. Meat Sci 64:219–237

    Article  PubMed  Google Scholar 

  • Van Laack RL, Stevens SG, Stalder KJ (2001) The influence of ultimate pH and intramuscular fat content on pork tenderness and tenderization. J Anim Sci 79:392–397

    Article  PubMed  Google Scholar 

  • Wang L, Liu S, Niu T, Xu X (2005) SNPHunter: a bioinformatic software for single nucleotide polymorphism data acquisition and management. BMC Bioinform 6:60

    Article  CAS  Google Scholar 

  • Weisstein EW (2004) Bonferroni correction. Wolfram MathWorld

  • Weston AR, Rogers RW, Althen TG (2002) The role of collagen in meat tenderness. PAS 18:107–111

    Google Scholar 

Download references

Acknowledgements

This work was carried out with the support of “Cooperative Research Program for Agriculture Science & Technology Development (Project No. PJ01111501)” Rural Development Administration, Republic of Korea.

Author information

Authors and Affiliations

  1. Interdisciplinary Program in Agricultural Genomics, Seoul National University, Seoul, Republic of Korea

    Dongsung Jang

  2. Department of Natural Science, Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea

    Joon Yoon & Heebal Kim

  3. Department of Agricultural Biotechnology, Animal Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea

    Mengistie Taye, Wonseok Lee, Taehyung Kwon & Heebal Kim

  4. College of Agriculture and Environmental Sciences, Bahir Dar University, P.O. Box 79, Bahir Dar, Ethiopia

    Mengistie Taye

  5. LAS Inc., 16, Arayuk-ro, Gochon-eup, Gimpo-si, Gyeonggi-do, Republic of Korea

    Seunghyun Shim

  6. Institute for Biomedical Sciences, Shinshu University, Nagano, Japan

    Heebal Kim

Authors
  1. Dongsung Jang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Joon Yoon
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mengistie Taye
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Wonseok Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Taehyung Kwon
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Seunghyun Shim
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Heebal Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Heebal Kim.

Ethics declarations

Conflict of interest

Dongsung Jang declares that he/she does not have conflict of interest on the contents of manuscript. Joon Yoon declares that he/she does not have conflict of interest on the contents of manuscript. Mengistie Taye declares that he/she does not have conflict of interest on the contents of manuscript. Wonseok Lee declares that he/she does not have conflict of interest on the contents of manuscript. Taehyung Kwon declares that he/she does not have conflict of interest on the contents of manuscript. Seunghyun Shim declares that he/she does not have conflict of interest on the contents of manuscript. Heebal Kim declares that he/she does not have conflict of interest on the contents of manuscript.

Ethical approval

The regional Ethical Committees approved whole experiment and all its procedures (JNU Animal Bioethics Committee Approval Number: 2013-0009, National Institute of Animal Science’s Institutional Animal Care and Use Committee: 2009-077).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jang, D., Yoon, J., Taye, M. et al. Multivariate genome-wide association studies on tenderness of Berkshire and Duroc pig breeds. Genes Genom 40, 701–705 (2018). https://doi.org/10.1007/s13258-018-0672-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13258-018-0672-6

Keywords

Search

Navigation