DOI QR코드

DOI QR Code

Physiochemical characteristics and fermentation ability of milk from Czech Fleckvieh cows are related to genetic polymorphisms of β-casein, κ-casein, and β-lactoglobulin

  • Kyselova, Jitka (Institute of Animal Science, Department of Genetics and Animal Breeding) ;
  • Jecminkova, Katerina (Institute of Animal Science, Department of Genetics and Animal Breeding) ;
  • Matejickova, Jitka (Research and Breeding Institute of Pomology Holovousy) ;
  • Hanus, Oto (Dairy Research Institute) ;
  • Kott, Tomas (Institute of Animal Science, Department of Genetics and Animal Breeding) ;
  • Stipkova, Miloslava (Institute of Animal Science, Department of Genetics and Animal Breeding) ;
  • Krejcova, Michaela (Institute of Animal Science, Department of Genetics and Animal Breeding)
  • Received : 2017.12.22
  • Accepted : 2018.06.07
  • Published : 2019.01.01

Abstract

Objective: The aim of the study was to find a possible association between the ${\beta}-$ and ${\kappa}-casein$ and ${\beta}-lactoglobulin$ genotypes and important milk physiochemical and technological characteristics such as acidity, alcohol stability, the contents of some minerals and the parameters of acid fermentation ability (FEA) in Czech Fleckvieh Cattle. Methods: Milk and blood samples were collected from 338 primiparous Czech Fleckvieh cows at the same stage of lactation. The genotypes of individual cows for ${\kappa}-casein$ (alleles A, B, and E) and ${\beta}-lactoglobulin$ (alleles A and B) were ascertained by polymerase chain reaction-restriction fragment length polymorphism, while their ${\beta}-casein$ (alleles $A^1$, $A^2$, $A^3$, and B) genotype was determined using melting curve genotyping analysis. The data collected were i) milk traits including active acidity (pH), titratable acidity (TA), alcohol stability (AS); calcium (Ca), phosphorus (P), sodium (Na), magnesium (Mg), and potassium (K) contents; and ii) yoghurt traits including active acidity (Y-pH), titratable acidity (Y-TA), and the counts of both Lactobacilli and Streptococci in 1 mL of yoghurt. A linear model was assumed with fixed effects of herd, year, and season of calving, an effect of the age of the cow at first calving and effects of the casein and lactoglobulin genotypes of ${\beta}-CN$ (${\beta}-casein$, CSN2), ${\kappa}-CN$ (${\kappa}-casein$, CSN3), and ${\beta}-LG$ (${\beta}-lactoglobulin$, LGB), or the three-way interaction between those genes. Results: The genetic polymorphisms were related to the milk TA, AS, content of P and Ca, Y-pH and Lactobacilli number in the fresh yoghurt. The CSN3 genotype was significantly associated with milk AS (p<0.05). The effect of the composite CSN2-CSN3-LGB genotype on the investigated traits mostly reflected the effects of the individual genes. It significantly influenced TA (p<0.01), Y-pH (p<0.05) and the log of the Lactobacilli count (p<0.05). Conclusion: Our findings indicate that the yoghurt fermentation test together with milk proteins genotyping could contribute to milk quality control and highlight new perspectives in dairy cattle selection.

Keywords

References

  1. Farrel HM, Jimenez-Flores R, Bleck GT, et al. Nomenclature of the proteins of cows' milk - Sixth revision. J Dairy Sci 2004; 87:1641-74. https://doi.org/10.3168/jds.S0022-0302(04)73319-6
  2. Cardak AD. Effects of genetic variants in milk protein on yield and composition of milk from Holstein- Friesian and Simmentaler cows. S Afr J Anim Sci 2005;35:41-7.
  3. Molee A, Poompramun C, Mernkrathoke P. Effect of casein genes - beta-LGB, DGAT1, GH, and LHR - on milk production and milk composition traits in crossbred Holsteins. Genet Mol Res 2015;14:2561-71. https://doi.org/10.4238/2015.March.30.15
  4. Matejicek A, Matejickova J, Stipkova M, et al. Joint effects of CSN3 and LGB genes on milk quality and coagulation properties in Czech Fleckvieh. Czech J Anim Sci 2008;53:246-52. https://doi.org/10.17221/363-CJAS
  5. Vallas M, Kaart T, Varv S, et al. Composite beta-kappa-casein genotypes and their effect on composition and coagulation of milk from Estonian Holstein cows. J Dairy Sci 2012;95:6760-9. https://doi.org/10.3168/jds.2012-5495
  6. Comin A, Cassandro M, Chessa S, et al. Effects of composite beta- and K-casein genotypes on milk coagulation, quality, and yield traits in Italian Holstein cows. J Dairy Sci 2008;91: 4022-7. https://doi.org/10.3168/jds.2007-0546
  7. Cecchinato A, Chessa S, Ribeca C, et al. Genetic variation and effects of candidate-gene polymorphisms on coagulation properties, curd firmness modelling and acidity in milk from Brown Swiss cows. Animal 2015;9:1104-12. https://doi.org/10.1017/S1751731115000440
  8. Devod TG, Brovold MJ, Langsrud T, Vegarud GE. Size of native and heated casein micelles, content of protein and minerals in milk from Norwegian Red Cattle - effect of milk protein polymorphism and different feeding regimes. Int Dairy J 2000;10: 312-23.
  9. Celik S. Beta-lactoglobulin genetic variants in Brown Swiss breed and its association with compositional properties and rennet clotting time of milk. Int Dairy J 2003;13:727-31. https://doi.org/10.1016/S0958-6946(03)00093-1
  10. Hallen E, Allmer T, Lunden A, Andren A. Effect of genetic polymorphism of milk proteins on rheology of acid-induced milk gels. Int Dairy J 2009;19:399-404. https://doi.org/10.1016/j.idairyj.2008.08.005
  11. Penasa M, Cassandro M, Pretto D, et al. Short communication: Influence of composite casein genotypes on additive genetic variation of milk production traits and coagulation properties. J Dairy Sci 2010;93:3346-9. https://doi.org/10.3168/jds.2010-3164
  12. Kucerova J, Matejicek A, Jandurova OM, et al. Milk Protein genes CSN1S1, CSN2, CSN3, LGB and their relation to genetic values of milk production parameters in Czech Fleckvieh. Czech J Anim Sci 2006; 51:241-7. https://doi.org/10.17221/3935-cjas
  13. Sztankoova Z, Kyselova J, Kottova E. Technical note: detection of the C allele of beta-casein (CSN2) in Czech dairy goat breeds using Light Cycler analysis. J Dairy Sci 2008;91:4053-7. https://doi.org/10.3168/jds.2007-0747
  14. Hanus O, Kucera J, Yong T, et al. Effect of sires on wide scale of milk indicators in first calving Czech Fleckvieh cows. Arch Tierz-Arch Anim Breed 2011;54:36-50. https://doi.org/10.5194/aab-54-36-2011
  15. ON 57 0534: Milk fermentation ability determination. Prague, Czech Republic: Standard Milk Industry Prague; 1986 (in Czech).
  16. CSN ISO 6610: Milk and milk products. Enumeration of colony-forming units of microorganisms. Colony count technique at $30^{\circ}C$. Prague, Czech Republic: Standard CNI Prague, 1996 (in Czech).
  17. Gustavsson F, Buitenhuis AJ, Glanz M, et al. Impact of genetic variants of milk proteins on chymosin-induced gelation properties of milk from individual cows of Swedish Red dairy cattle. Int Dairy J 2014;39:102-7. https://doi.org/10.1016/j.idairyj.2014.05.007
  18. Botaro BG, de Lima YVR, Cortinhas CS, et al. Effect of the kappa-casein gene polymorphism, breed and seasonality on physiochemical characteristics, composition and stability of bovine milk. Rev Bras Zootec 2009;38:2447-54. https://doi.org/10.1590/S1516-35982009001200022
  19. Amigo L, Martin-Alvarez PJ, Garcia-Muro E, Zarazaga I. Effect of milk protein haplotypes on the composition and technological properties of Fleckvieh bovine milk. Milchwiss-Milk Sci Int 2001;56:488-91.
  20. De Marchi M, Bittante G, Dal Zotto R, Dalvit C, Cassandro M. Effect of Holstein Friesian and Brown Swiss breeds on quality of milk and cheese. J Dairy Sci 2008;91:4092-102. https://doi.org/10.3168/jds.2007-0788
  21. Cassandro M, Comin A, Ojala M, et al. Genetic parameters of milk coagulation properties and their relationships with milk yield and quality traits in Italian Holstein cows. J Dairy Sci 2008;91:371-6. https://doi.org/10.3168/jds.2007-0308
  22. Chavez MS, Negri LM, Taverna MA, Cuatrin A. Bovine milk composition parameters affecting the ethanol stability. J Dairy Res 2004;71:201-6. https://doi.org/10.1017/S0022029904000172
  23. Janu L, Hanus O, Frelich J, et al. Influences of different milk yields of Holstein cows on milk quality indicators in the Czech Republic. Acta Vet Brno 2007;76:553-61. https://doi.org/10.2754/avb200776040553
  24. Van Hulzen KJE, Sprong RC, van der Meer R, van Arendonk JAM. Genetic and nongenetic variation in concentration of selenium, calcium, potassium, zinc, magnesium, and phosphorus in milk of Dutch Holstein-Friesian cows. J Dairy Sci 2009;92:5754-9. https://doi.org/10.3168/jds.2009-2406
  25. Ketto IA, Knutsen TM, Oyaas J, et al. Effects of milk protein polymorphism and composition, casein micelle size and salt distribution on the milk coagulation properties in Norwegian Red cattle. Int Dairy J 2017;70:55-64. https://doi.org/10.1016/j.idairyj.2016.10.010
  26. Gencurova V, Hanus O, Hrdinova E, Jedelska R, Kopecký J. Relationships of fermentation and other technological characteristics to selected parameters of milk. Zivocisna Vyroba 1997; 42:375-82.
  27. Puvanenthiran A, Stevovitch-Rykner C, McCann TH, Day L. Synergistic effect of milk solids and carrot cell wall particles on the rheology and texture of yoghurt gels. Food Res Int 2014; 62:701-8. https://doi.org/10.1016/j.foodres.2014.04.023
  28. Chandan RC, O'Rell KR. Yoghurt plant: quality assurance. In: Chandan RC, White ChH, Kilara A, Hui YH, editors. Manufacturing yoghurt and fermented milks. Ames, IA, USA: Wiley-Blackwell Publishing; 2006. p. 247-64.
  29. Botaro BG, de Lima YVR, Aquino AA, et al. Beta-lactoglobulin polymorphism does not affect physico-chemical characteristics and milk stability. Pesq Agropec Bras 2007;42:747-53. https://doi.org/10.1590/S0100-204X2007000500019
  30. Imafidon GI, Ng-Kwai-Hang KF, Harwalkar VR, Ma CY. Effect of genetic polymorphism on the thermal-stability of beta-lactoglobulin and kappa-casein mixture. J Dairy Sci 1991;74: 1791-802. https://doi.org/10.3168/jds.S0022-0302(91)78344-6
  31. Cecchinato A, Ribeca C, Maurmayr A, et al. Effects of beta-lactoglobulin, stearoyl-coenzyme A desaturase 1, and sterol regulatory element binding protein gene allelic variants on milk production, composition, acidity, and coagulation properties of brown Swiss cows. J Dairy Sci 2012;95:450-4. https://doi.org/10.3168/jds.2011-4581
  32. Malcarne M, Franceschi P, Formaggioni P, et al. Influence of micellar calcium and phosphorus on rennet coagulation properties of cows milk. J Dairy Res 2014;81:129-36. https://doi.org/10.1017/S0022029913000630
  33. Bittante G, Penasa M, Cecchinato A. Invited review: Genetics and modelling of milk coagulation properties. J Dairy Sci 2012; 95:6843-70. https://doi.org/10.3168/jds.2012-5507
  34. Mayer HK, Ortner M, Tschager E, Ginzinger W. Composite milk protein phenotypes in relation to composition and cheesemaking properties of milk. Int Dairy J 1997;7:305-10. https://doi.org/10.1016/S0958-6946(97)00019-8
  35. Pribyl J, Rehout V, Citek J, Pribylova J. Genetic evaluation of dairy cattle using a simple heritable genetic ground. J Sci Food Agric 2010;90:1765-73. https://doi.org/10.1002/jsfa.4041

Cited by

  1. Goat Milk with Different Alpha-s1 Casein Genotype (CSN1S1) Fermented by Selected Lactobacillus paracasei as Potential Functional Food vol.5, pp.3, 2019, https://doi.org/10.3390/fermentation5030055
  2. Beta–lactoglobulin–nutrition allergen and nanotransporter of different nature ligands therapy with therapeutic action vol.133, 2020, https://doi.org/10.1016/j.rvsc.2020.08.014
  3. Gene polymorphisms influencing yield, composition and technological properties of milk from Czech Simmental and Holstein cows vol.34, pp.1, 2019, https://doi.org/10.5713/ajas.19.0520