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Identification of genomic regions related to tenderness in Nellore beef cattle

Published online by Cambridge University Press:  03 October 2017

M. E. Carvalho*
Affiliation:
College of Animal Science and Food Engineering, University of Sao Paulo, Duque de Caxias, 225 Pirassununga, SP, Brazil
F. S. Baldi
Affiliation:
Department of Animal Science, São Paulo State University, access way Paulo Donato Castellane s/n, Jaboticabal, SP, Brazil
M. H. A. Santana
Affiliation:
College of Animal Science and Food Engineering, University of Sao Paulo, Duque de Caxias, 225 Pirassununga, SP, Brazil
R. V. Ventura
Affiliation:
Beef Improvement Opportunities, 294 Mill St East Suite 209 Elora, ON, Canada
G. A. Oliveira
Affiliation:
College of Animal Science and Food Engineering, University of Sao Paulo, Duque de Caxias, 225 Pirassununga, SP, Brazil
R. S. Bueno
Affiliation:
College of Animal Science and Food Engineering, University of Sao Paulo, Duque de Caxias, 225 Pirassununga, SP, Brazil
M. N. Bonin
Affiliation:
Embrapa Beef Cattle, Av. Radio Maia, 830 Campo Grande, MS, Brazil
F. M. Rezende
Affiliation:
College of Veterinary Medicine, Federal University of Uberlandia, Av. Para, 1720 Uberlandia, MG, Brazil
L. L. Coutinho
Affiliation:
Department of Animal Science, University of Sao Paulo, Av. Padua Dias, 11 Piracicaba, SP, Brazil
J. P. Eler
Affiliation:
College of Animal Science and Food Engineering, University of Sao Paulo, Duque de Caxias, 225 Pirassununga, SP, Brazil
J. B. S. Ferraz
Affiliation:
College of Animal Science and Food Engineering, University of Sao Paulo, Duque de Caxias, 225 Pirassununga, SP, Brazil
*
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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.

Type
Full Paper
Copyright
© The Animal Consortium 2017 

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References

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.Google Scholar
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.Google Scholar
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.CrossRefGoogle Scholar
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.Google Scholar
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.Google Scholar
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.Google Scholar
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.Google Scholar
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.CrossRefGoogle ScholarPubMed