Skip to main content Accessibility help
×
Home

Identification of genomic regions related to tenderness in Nellore beef cattle

  • M. E. Carvalho (a1), F. S. Baldi (a2), M. H. A. Santana (a1), R. V. Ventura (a3), G. A. Oliveira (a1), R. S. Bueno (a1), M. N. Bonin (a4), F. M. Rezende (a5), L. L. Coutinho (a6), J. P. Eler (a1) and J. B. S. Ferraz (a1)...

Abstract

The aim of this study was to identify genomic regions that associated with beef tenderness in Nellore cattle. Phenotypes were obtained according to the standard USDA Quality Grade (1999). Data from 909 genotyped Nellore bulls were used in the Genome-Wide Association Study (GWAS) undertaken using a single-step approach including also a pedigree file composed of 6276 animals. The analyses were performed using the Blupf90 software, estimating the effect of genomic windows of 10 consecutive markers. The GWAS results identified 18 genomic regions located on 14 different chromosomes (1, 4, 6, 7, 8, 10, 18, 19, 20, 21, 22, 25, 26 and 29), which explained more than 1% of the total additive genetic variance; several candidate genes were located in these regions including SLC2A9, FRAS1, ANXA3, FAM219A, DNAI, AVEN, SHISA7, UBE2S, CDC42EP5, CNTN3, C16orf96, UBALD1, MGRN1 and SNORA1 With the single-step GWAS, it was possible to identify regions and genes related to meat tenderness in Nellore beef cattle.

Copyright

Corresponding author

E-mail: minosec@gmail.com

References

Hide All
Aguilar, I, Misztal, I, Legarra, A and Tsuruta, S 2011. Efficient computations of the genomic relationship matrix and other matrices used in the single-step evaluation. Journal of Animal Breeding Genetics 128, 422428.
American Meat Science Association (AMSA) 1995. Research guidelines for cookery, sensory evaluation, and instrumental tenderness measurements of Meat. 1st edition. American Meat Science Association, Chicago.
Derington, AJ, Brooks, JC, Garmyn, AJ, Thompson, LD, Wester, DB and Miller, MF 2011. Relationships of slice shear force and Warner-Bratzler shear force of beef strip loin steaks as related to the tenderness gradient of the strip loin. Meat Science 88, 203208.
Kinsella, RJ, Kähäri, A, Haider, S, Zamora, J, Proctor, G, Spudich, G, Almeida-King, J, Staines, D, Derwent, P, Kerhornou, A, Kersey, P and Flicek, P 2011. Ensembl BioMarts: a hub for data retrieval across taxonomic space. Database Oxford. doi: https://doi.org/10.1093/database/bar030.
Koohmaraie, M and Geesink, GH 2006. Contribution of postmortem muscle biochemistry to the delivery of consistent meat quality with particular focus on the calpain system. Meat Science 74, 3443.
McClure, MC, Ramey, HR, Rolf, MM, McKay, SD, Decker, JE, Chapple, RH, Kim, JW, Taxis, TM, Weaber, RL, Schnabel, RD and Taylor, JF 2012. Genome-wide association analysis for quantitative trait loci influencing Warner–Bratzler shear force in five taurine cattle breeds. Animal Genetics 43, 662673.
Misztal, I, Tsuruta, S, Strabel, T, Auvray, B, Druet, T and Lee, DH 2002. BLUPF90 and related programs (BGF90). In Proceedings of the 7th World Congress on Genetics Applied to Livestock Production, 28, INRA, Montpellier, pp. 21–22.
Tizioto, PC, Decker, JE, Taylor, JF, Schnabel, RD, Mudadu, MA, Silva, FL, Mourão, GB, Coutinho, LL, Tholon, P, Sonstegard, TS, Rosa, AN, Alencar, MM, Tullio, RR, Medeiros, SR, Nassu, RT, Feijó, GLD, Silva, LOC, Torres, RA, Siqueira, F, Higa, RH and Regitano, LCA 2013. Genome scan for meat quality traits in Nelore beef cattle. Physiological Genomics 45, 10121020.

Keywords

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed