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Functional Genomic Analysis of Variation on Beef Tenderness Induced by Acute Stress in Angus Cattle

DOI: 10.1155/2012/756284

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Abstract:

Beef is one of the leading sources of protein, B vitamins, iron, and zinc in human food. Beef palatability is based on three general criteria: tenderness, juiciness, and flavor, of which tenderness is thought to be the most important factor. In this study, we found that beef tenderness, measured by the Warner-Bratzler shear force (WBSF), was dramatically increased by acute stress. Microarray analysis and qPCR identified a variety of genes that were differentially expressed. Pathway analysis showed that these genes were involved in immune response and regulation of metabolism process as activators or repressors. Further analysis identified that these changes may be related with CpG methylation of several genes. Therefore, the results from this study provide an enhanced understanding of the mechanisms that genetic and epigenetic regulations control meat quality and beef tenderness. 1. Introduction Beef is a source of high-quality nutrition for human populations. Beef palatability is generally determined by three general criteria: tenderness, juiciness, and flavor. Of these factors, beef consumers usually consider tenderness as the most important palatability trait leading to a good eating experience [1–3]. Inconsistency in tenderness has been reported as the most important factor in determining consumer satisfaction with beef quality [4–9]. It is well known that beef tenderness is influenced not only by genetic factors but also environmental aspects. Many studies have been performed on beef quality and tenderness, identifying various important candidate genes [10, 11], quantitative trait loci (QTL), and single-nucleotide polymorphisms (SNPs) [12–20]. High-throughput transcriptomics and proteomics were also used to explore the mechanism of controlling beef quality and tenderness [21–27]. These researches focused much attention on genetic factors influencing beef tenderness. Anecdotally, farmers found that beef produced by cattle which suffered from acute stress, such as injury, surgery, or hardware disease, has much lower quality compared to beef from normal cattle [28–31]. This phenomenon like hardware disease may occur often; therefore the underlying mechanism needs to be explored to better understand what drives beef tenderness and to ultimately improve profitability and efficiency of beef production. So far, we have not seen research which examines the mechanisms of beef quality alteration attributed to acute stress. In this experiment, we found an acute stress event that altered beef tenderness. Since stress is a general phenomenon in beef industry,

References

[1]  D. L. Robinson, D. M. Ferguson, V. H. Oddy, D. Perry, and J. Thompson, “Genetic and environmental influences on beef tenderness,” Australian Journal of Experimental Agriculture, vol. 41, no. 7, pp. 997–1003, 2001.
[2]  R. Watson, A. Gee, R. Polkinghorne, and M. Porter, “Consumer assessment of eating quality—development of protocols for Meat Standards Australia (MSA) testing,” Australian Journal of Experimental Agriculture, vol. 48, no. 11, pp. 1360–1367, 2008.
[3]  K. L. Huffman, M. F. Miller, L. C. Hoover, C. K. Wu, H. C. Brittin, and C. B. Ramsey, “Effect of beef tenderness on consumer satisfaction with steaks consumed in the home and restaurant,” Journal of Animal Science, vol. 74, no. 1, pp. 91–97, 1996.
[4]  S. J. Boleman, S. L. Boleman, R. K. Miller et al., “Consumer evaluation of beef of known categories of tenderness,” Journal of Animal Science, vol. 75, no. 6, pp. 1521–1524, 1997.
[5]  D. E. Brady, “A study of the factors influencing tenderness and texture of beef,” Journal of Animal Science, vol. 1937, no. 1, pp. 246–250, 1937.
[6]  K. J. Goodson, W. W. Morgan, J. O. Reagan et al., “Beef Customer Satisfaction: factors affecting consumer evaluations of clod steaks,” Journal of Animal Science, vol. 80, no. 2, pp. 401–408, 2002.
[7]  L. E. Jeremiah, “A review of factors influencing consumption, selection and acceptability of meat purchases,” Journal of Consumer Studies & Home Economics, vol. 6, no. 2, pp. 137–154, 1992.
[8]  R. Kim, “Factors influencing consumers' decision to purchase beef: a South Korean case study,” Journal of International Food and Agribusiness Marketing, vol. 15, no. 1-2, pp. 153–167, 2003.
[9]  J. M. Behrends, K. J. Goodson, M. Koohmaraie et al., “Beef customer satisfaction: USDA quality grade and marination effects on consumer evaluations of top round steaks,” Journal of Animal Science, vol. 83, no. 3, pp. 662–670, 2005.
[10]  B. Lebret, P. Le Roy, G. Monin et al., “Influence of the three RN genotypes on chemical composition, enzyme activities, and myofiber characteristics of porcine skeletal muscle,” Journal of Animal Science, vol. 77, no. 6, pp. 1482–1489, 1999.
[11]  L. Di Stasio, S. Sartore, and A. Albera, “Lack of association of GH1 and POU1F1 gene variants with meat production traits in Piemontese cattle,” Animal Genetics, vol. 33, no. 1, pp. 61–64, 2002.
[12]  W. Barendse, B. E. Harrison, R. J. Bunch, and M. B. Thomas, “Variation at the Calpain 3 gene is associated with meat tenderness in zebu and composite breeds of cattle,” BMC Genetics, vol. 9, article 41, 2008.
[13]  J. F. Hocquette, G. Renard, H. Levéziel, B. Picard, and I. Cassar-Malek, “The potential benefits of genetics and genomics to improve beef quality—a review,” Animal Science Papers and Reports, vol. 24, no. 3, pp. 173–186, 2006.
[14]  J. L. Gill, S. C. Bishop, C. McCorquodale, J. L. Williams, and P. Wiener, “Association of selected SNP with carcass and taste panel assessed meat quality traits in a commercial population of Aberdeen Angus-sired beef cattle,” Genetics Selection Evolution, vol. 41, no. 1, article 36, 2009.
[15]  F. Y. Chen, H. Niu, J. Q. Wang et al., “Polymorphism of DLK1 and CLPG gene and their association with phenotypic traits in Chinese cattle,” Molecular Biology Reports, vol. 38, no. 1, pp. 243–248, 2011.
[16]  P. P. Iglesias, M. E. Caffaro, A. F. Amadio, A. Arias Ma?otti, and M. A. Poli, “CAPN1 markers in three Argentinean cattle breeds: report of a new InDel polymorphism within intron 17,” Molecular Biology Reports, vol. 38, no. 3, pp. 1645–1649, 2010.
[17]  A. Iwanowska, B. Grze?, B. Miko?ajczak et al., “Impact of polymorphism of the regulatory subunit of the μ-calpain (CAPN1S) on the proteolysis process and meat tenderness of young cattle,” Molecular Biology Reports, vol. 38, no. 2, pp. 1295–1300, 2011.
[18]  Y. Y. Fan, L. S. Zan, C. Z. Fu et al., “Three novel SNPs in the coding region of PPARγ gene and their associations with meat quality traits in cattle,” Molecular Biology Reports, pp. 1–7, 2010.
[19]  G. P. Davis, S. S. Moore, R. D. Drinkwater et al., “QTL for meat tenderness in the M. longissimus lumborum of cattle,” Animal Genetics, vol. 39, no. 1, pp. 40–45, 2008.
[20]  Y. Gao, R. Zhang, X. Hu, and N. Li, “Application of genomic technologies to the improvement of meat quality of farm animals,” Meat Science, vol. 77, no. 1, pp. 36–45, 2007.
[21]  M. Morzel, C. Terlouw, C. Chambon, D. Micol, and B. Picard, “Muscle proteome and meat eating qualities of Longissimus thoracis of “Blonde d'Aquitaine” young bulls: a central role of HSP27 isoforms,” Meat Science, vol. 78, no. 3, pp. 297–304, 2008.
[22]  A. M. Mullen, P. C. Stapleton, D. Corcoran, R. M. Hamill, and A. White, “Understanding meat quality through the application of genomic and proteomic approaches,” Meat Science, vol. 74, no. 1, pp. 3–16, 2006.
[23]  J. C. Sawdy, S. A. Kaiser, N. R. St-Pierre, and M. P. Wick, “Myofibrillar 1-D fingerprints and myosin heavy chain MS analyses of beef loin at 36 h postmortem correlate with tenderness at 7 days,” Meat Science, vol. 67, no. 3, pp. 421–426, 2004.
[24]  C. Bernard, I. Cassar-Malek, M. Le Cunff, H. Dubroeucq, G. Renand, and J. F. Hocquette, “New indicators of beef sensory quality revealed by expression of specific genes,” Journal of Agricultural and Food Chemistry, vol. 55, no. 13, pp. 5229–5237, 2007.
[25]  Y. Zhang, L. Zan, and H. Wang, “Screening candidate genes related to tenderness trait in Qinchuan cattle by genome array,” Molecular Biology Reports, vol. 38, no. 3, pp. 2007–2014, 2010.
[26]  I. Zapata, H. N. Zerby, and M. Wick, “Functional proteomic analysis predicts beef tenderness and the tenderness differential,” Journal of Agricultural and Food Chemistry, vol. 57, no. 11, pp. 4956–4963, 2009.
[27]  M. Koohmaraie, M. P. Kent, S. D. Shackelford, E. Veiseth, and T. L. Wheeler, “Meat tenderness and muscle growth: is there any relationship?” Meat Science, vol. 62, no. 3, pp. 345–352, 2002.
[28]  D. A. King, C. E. Schuehle Pfeiffer, R. D. Randel et al., “Influence of animal temperament and stress responsiveness on the carcass quality and beef tenderness of feedlot cattle,” Meat Science, vol. 74, no. 3, pp. 546–556, 2006.
[29]  T. Grandin, “The effect of stress on livestock and meat quality prior to and during slaughter [Cattle, pigs and sheep],” International Journal for the Study of Animal Problems, vol. 1, pp. 313–337, 1980.
[30]  P. D. Warriss, “The handling of cattle pre-slaughter and its effects on carcass and meat quality,” Applied Animal Behaviour Science, vol. 28, no. 1-2, pp. 171–186, 1990.
[31]  H. Remignon, A. D. Mills, D. Guemene et al., “Meat quality traits and muscle characteristics in high or low fear lines of Japanese quails (Coturnix japonica) subjected to acute stress,” British Poultry Science, vol. 39, no. 3, pp. 372–378, 1998.
[32]  C. Zhao, F. Tian, Y. Yu et al., “Muscle transcriptomic analyses in Angus cattle with divergent tenderness,” Molecular Biology Reports, vol. 39, no. 4, pp. 4185–4193, 2012.
[33]  M. B. Eisen, P. T. Spellman, P. O. Brown, and D. Botstein, “Cluster analysis and display of genome-wide expression patterns,” Proceedings of the National Academy of Sciences of the United States of America, vol. 95, no. 25, pp. 14863–14868, 1998.
[34]  Q. Zheng and X. J. Wang, “GOEAST: a web-based software toolkit for Gene Ontology enrichment analysis,” Nucleic Acids Research, vol. 36, pp. W358–W363, 2008.
[35]  K. J. Livak and T. D. Schmittgen, “Analysis of relative gene expression data using real-time quantitative PCR and the method,” Methods, vol. 25, no. 4, pp. 402–408, 2001.
[36]  T. L. Robinson, I. A. Sutherland, and J. Sutherland, “Validation of candidate bovine reference genes for use with real-time PCR,” Veterinary Immunology and Immunopathology, vol. 115, no. 1-2, pp. 160–165, 2007.
[37]  Y. H. Wang, N. I. Bower, A. Reverter et al., “Gene expression patterns during intramuscular fat development in cattle,” Journal of Animal Science, vol. 87, no. 1, pp. 119–130, 2009.
[38]  Y. Yu, H. Zhang, F. Tian et al., “Quantitative evaluation of DNA methylation patterns for ALVE and TVB genes in a neoplastic disease susceptible and resistant chicken model,” PLoS One, vol. 3, no. 3, Article ID e1731, 2008.
[39]  A. Rodas-González, N. Huerta-Leidenz, N. Jerez-Timaure, and M. F. Miller, “Establishing tenderness thresholds of Venezuelan beef steaks using consumer and trained sensory panels,” Meat Science, vol. 83, no. 2, pp. 218–223, 2009.
[40]  B. Fervers, J. S. Burgers, R. Voellinger et al., “Modern approaches to enhancing beef quality,” Tehnologija Mesa, vol. 52, no. 1, pp. 15–21, 2011.
[41]  V. Contreras-Shannon, O. Ochoa, S. M. Reyes-Reyna et al., “Fat accumulation with altered inflammation and regeneration in skeletal muscle of CCR2?/? mice following ischemic injury,” American Journal of Physiology, vol. 292, no. 2, pp. C953–C967, 2007.
[42]  K. T. Keylock, V. J. Vieira, M. A. Wallig, L. A. DiPietro, M. Schrementi, and J. A. Woods, “Exercise accelerates cutaneous wound healing and decreases wound inflammation in aged mice,” American Journal of Physiology, vol. 294, no. 1, pp. R179–R184, 2008.
[43]  O. Ochoa, D. Sun, S. M. Reyes-Reyna et al., “Delayed angiogenesis and VEGF production in CCR2?/? mice during impaired skeletal muscle regeneration,” American Journal of Physiology, vol. 293, no. 2, pp. R651–R661, 2007.
[44]  G. L. Warren, L. O'Farrell, M. Summan et al., “Role of CC chemokines in skeletal muscle functional restoration after injury,” American Journal of Physiology, vol. 286, no. 5, pp. C1031–C1036, 2004.
[45]  T. Nedachi, H. Hatakeyama, T. Kono, M. Sato, and M. Kanzaki, “Characterization of contraction-inducible CXC chemokines and their roles in C2C12 myocytes,” American Journal of Physiology, vol. 297, no. 4, pp. E866–E878, 2009.
[46]  E. Zoico and R. Roubenoff, “The role of cytokines in regulating protein metabolism and muscle function,” Nutrition Reviews, vol. 60, no. 2, pp. 39–51, 2002.
[47]  R. A. Gadient and P. H. Patterson, “Leukemia inhibitory factor, interleukin 6, and other cytokines using the GP130 transducing receptor: roles in inflammation and injury,” Stem Cells, vol. 17, no. 3, pp. 127–137, 1999.
[48]  Y. X. Pan, H. Chen, M. M. Thiaville, and M. S. Kilberg, “Activation of the ATF3 gene through a co-ordinated amino acid-sensing response programme that controls transcriptional regulation of responsive genes following amino acid limitation,” Biochemical Journal, vol. 401, no. 1, pp. 299–307, 2007.
[49]  X. Sun, Y. Wu, B. Chen et al., “Regulator of calcineurin 1 (RCAN1) facilitates neuronal apoptosis through caspase-3 activation,” The Journal of Biological Chemistry, vol. 286, no. 11, pp. 9049–9062, 2011.
[50]  H. Liu, P. Wang, W. Song, and X. Sun, “Degradation of regulator of calcineurin 1 (RCAN1) is mediated by both chaperone-mediated autophagy and ubiquitin proteasome pathways,” The FASEB Journal, vol. 23, no. 10, pp. 3383–3392, 2009.
[51]  H. Kondo, L. Shimomura, Y. Matsukawa et al., “Association of adiponectin mutation with type 2 diabetes: a candidate gene for the insulin resistance syndrome,” Diabetes, vol. 51, no. 7, pp. 2325–2328, 2002.
[52]  T. Yamauchi and T. Kadowaki, “Physiological and pathophysiological roles of adiponectin and adiponectin receptors in the integrated regulation of metabolic and cardiovascular diseases,” International Journal of Obesity, vol. 32, no. 7, pp. S13–S18, 2008.
[53]  J. L. Michaud, T. Rosenquist, N. R. May, and C. M. Fan, “Development of neuroendocrine lineages requires the bHLH-PAS transcription factor SIM1,” Genes and Development, vol. 12, no. 20, pp. 3264–3275, 1998.
[54]  P. Coumailleau and D. Duprez, “Sim1 and Sim2 expression during chick and mouse limb development,” International Journal of Developmental Biology, vol. 53, no. 1, pp. 149–157, 2009.
[55]  Z. Chen, X. Zhao, Z. Hao, X. Jiang, X. Guo, and N. Xu, “Molecular characteristics of porcine SIM1 gene and its variants association with carcass and meat quality traits,” Journal of Animal and Veterinary Advances, vol. 10, no. 4, pp. 495–501, 2011.
[56]  D. A. Liebermann and B. Hoffman, “Gadd45 in stress signaling,” Journal of Molecular Signaling, vol. 3, article 15, 2008.
[57]  K. K. Brown, F. S. Alkuraya, M. Matos, R. L. Robertson, V. E. Kimonis, and C. C. Morton, “NR2F1 deletion in a patient with a de novo paracentric inversion, inv(5)(q15q33.2), and syndromic deafness,” American Journal of Medical Genetics, Part A, vol. 149, no. 5, pp. 931–938, 2009.
[58]  K. Yamada, H. Kawata, Z. Shou et al., “Analysis of zinc-fingers and homeoboxes (ZHX)-1-interacting proteins: molecular cloning and characterization of a member of the ZHX family, ZHX3,” Biochemical Journal, vol. 373, no. 1, pp. 167–178, 2003.
[59]  J. C. Illes, E. Winterbottom, and H. V. Isaacs, “Cloning and expression analysis of the anterior ParaHox genes, Gsh1 and Gsh2 from Xenopus tropicalis,” Developmental Dynamics, vol. 238, no. 1, pp. 194–203, 2009.
[60]  R. R. Waclaw, B. Wang, Z. Pei, L. A. Ehrman, and K. Campbell, “Distinct temporal requirements for the homeobox gene Gsx2 in specifying striatal and olfactory bulb neuronal fates,” Neuron, vol. 63, no. 4, pp. 451–465, 2009.
[61]  S. Izawa, T. Kita, K. Ikeda, and Y. Inoue, “Heat shock and ethanol stress provoke distinctly different responses in -processing and nuclear export of HSP mRNA in Saccharomyces cerevisiae,” Biochemical Journal, vol. 414, no. 1, pp. 111–119, 2008.
[62]  M. Remakova, M. Skoda, M. Faustova, et al., “The expression regulation of the HSPA1B gene in patients with myositis is not dependent on the presence of HLA-DRB1* 03 risk allele,” Annals of the Rheumatic Diseases, vol. 10, supplement 2, article A19, 2011.
[63]  P. Kaur, M. D. Hurwitz, S. Krishnan, and A. Asea, “Combined hyperthermia and radiotherapy for the treatment of cancer,” Cancers, vol. 3, no. 4, pp. 3799–3823, 2011.

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