ISSN 2308-4057 (Print),
ISSN 2310-9599 (Online)

κ-casein polymorphism effect on technological properties of dried milk

Аннотация
Introduction. Numerous molecular genetic studies have revealed a correlation between the polymorphism of milk protein genes and the technological properties of milk raw materials. DNA analysis, in particular, initiated research into the influence of allelic variants of κ-casein (CSN3) on thermal stability and cheese suitability of milk. This gives relevance to our study that compares the results of genotypic identification of lactating cows by the κ-casein gene, using raw and processed milk samples. Study objects and methods. Our study used raw and reconstituted milk samples from first-calf cows of the black motley breed with the AA and BB genotypes of the κ-casein gene. The samples were analyzed by standardized and generally accepted chemical engineering methods, as well as by capillary electrophoresis and PCR-RFLP analysis. Results and discussion. We compared the results of tests on thermal stability and cheese suitability of raw and reconstituted milk samples from cows with the AA and BB genotypes of the κ-casein gene. We tried out an integrated approach to monitoring milk raw materials based on the most relevant technological criteria and correlating the data with the associated CSN3 gene identification parameters. The PCR-RFLP analysis revealed reproducible results for both raw and dried milk samples in relation to the genotypical identification by the A- and B- allelic variants of the CSN3 gene. The tests showed higher thermal stability in the reconstituted milk from the BB genotype cow and better cheese suitability in the AA genotype sample. Conclusion. We developed a system for evaluating milk raw materials based on the most important technological parameters in combination with their genotypic characteristics. Our research procedure can unify the accumulation of experimental data and contribute to the formation of bioinformatics algorithms. This approach can be used in mathematical modeling of criteria to evaluate the compliance of the technological properties of milk with the recommended indicators.
Ключевые слова
Casein , genotype , PCR-RFLP , allele , milk , technological properties , whey , thermal stability
ВВЕДЕНИЕ

Each breed of lactating animals has a genetic potential that contributes to certain properties of the resulting milk. Breed characteristics determine not only the physicochemical composition of raw milk, but also its technological parameters and yield. As a result, the quality of dairy products also varies significantly [1–3].

In this regard, scientists are interested in determining genetic markers associated with the qualitative characteristics of milk. DNA technologies for developing technological properties of milk in vivo aim to model those parameters which are significant in certain areas of the dairy industry. Allelic variants of genes of milk proteins, hormones, and enzymes are the most probable genetic markers of milk quality. Numerous studies have analyzed the influence of cow genotypes on the rennet coagulation and thermal stability of milk. Most research has focused on αS1-casein (CSN1S1), β-casein (CSN2), β-lactoglobulin (BLG), and κ-casein (CSN3) encoded by the genes of the same name [4–6].

Studies have proven that the B allele of the CSN1S1 gene is associated with milk yield, while its C allele affects the protein milk content. Also, the A allele of the CSN2 gene has a positive effect of on the thermal rennet coagulation and is a synergist for the similar effect of the CSN3 B allele. The BLG gene is associated with the biological value of milk, its technological properties, and total protein, namely a high content of casein and fat fractions (B allele) and a high content of whey proteins (A allele).

The κ-casein (CSN3) gene determines both the protein milk content and the technological properties of milk. It is believed that its A allele is associated with thermal stability, while its B allele is responsible for a high protein content and cheese suitability [7].

Testing biomaterial by determining the κ-casein gene locus is currently one of the most widely used methods. This is due to the frequency of occurrence of its prevailing alleles and the evidence of their association with the technological parameters of milk [8–10].

Many years of research have identified more than ten allelic variants of the CSN3 gene in cattle. The A and B alleles are most common and depend on the breed and geographic range. Scientists have also established a significant prevalence of the A over the B variant [7].

Allelic polymorphism of the κ-casein gene includes three main genotypes: AA, AB, and BB. Their variability affects the composition and properties of cow milk. Numerous studies of the κ-casein genotypes in domestic and foreign breeds have revealed a trend of increasing daily milk yield and decreasing protein mass fraction from the B allele to the A allele [7].

Despite some conflicting results [11], most researchers agree that the CSN3AA genotype has a positive effect on the thermal stability of milk, while the CSN3BB genotype determines its cheese suitability [12].

The polymorphism of milk proteins was initially studied on lactating cows by means of electrophoresis and isoelectric focusing. Calves and bulls were genotyped by mass testing of milk from their ancestors and offspring through the female line. Such studies took about 5–6 years. Long duration and high costs made it practically impossible to correct the desired alleles in the animal population [13].

New methods of genotyping polymorphic variants of milk proteins at the DNA level opened up wide opportunities for breeding and research. The most widely used method is the polymerase chain reaction (PCR) followed by the analysis of restriction fragment length polymorphism (RFLP) [13].

The PCR-RFLP analysis made it possible to identify the polymorphism of milk proteins using not only the animal’s biomaterial, but also raw milk and processed materials. In particular, these methods enabled scientists to interpret PCR-RFLP fragments of the DNA extracted from a number of dairy products. This opened up new prospects for milk processors in predicting the technological properties of raw milk [14, 15].

We aimed to compare the results of the κ-casein gene genotypic identification of lactating cows, using whole raw and freeze-dried milk samples. After interpreting the data, we assessed the physicochemical parameters and technological properties of the reconstituted product in order to determine the need for further processing of dried milk.

To achieve this aim, we set the following objectives:
– to genotype cows by the PCR-RFLP analysis for allelic variants of the κ-casein gene in dried and raw milk samples;
– to try out a comprehensive approach to monitoring the technological properties of reconstituted milk using multidirectional methods;
– to assess the influence of κ-casein genetic polymorphism on the technological properties of milk.

СПИСОК ЛИТЕРАТУРЫ
  1. Prosekov AYu, Ivanova SA. Providing food security in the existing tendencies of population growth and political and economic instability in the world. Foods and Raw Materials. 2016;4(2):201–211. https://doi.org/10.21179/2308-4057-2016-2-201-211.
  2. Belyakova ZYu, Makeeva IA, Stratonova NV, Pryanichnikova NS, Bogatyrev AN, Diel F, et al. Role of organic products in the implementation of the state policy of healthy nutrition in the Russian Federation. Foods and Raw Materials. 2018;6(1):4–13. https://doi.org/10.21603/2308-4057-2018-1-4-13.
  3. Shuvarikov AS, Baimukanov DA, Dunin MI, Pastukh ON, Zhukova EV, Yurova EA, et al. Estimation of composition, technological properties, and factor of allergenicity of cow’s, goat’s and camel’s milk. The Bulletin the National Academy of Sciences of the Republic of Kazakhstan. 2019;6(382):64–74. https://doi.org/10.32014/2019.2518-1467.146.
  4. Bijl E, van Valenberg H, Sikkes S, Jumelet S, Sala G, Olieman K, et al. Chymosin-induced hydrolysis of caseins: Influence of degree of phosphorylation of alpha-s1-casein and genetic variants of beta-casein. International Dairy Journal. 2014;39(2):215–221. https://doi.org/10.1016/j.idairyj.2014.07.005.
  5. Abeykoon CD, Rathnayake RMC, Johansson M, Silva GLLP, Ranadheera CS, Lundh A, et al. Milk coagulation properties and milk protein genetic variants of three cattle breeds/types in Sri Lanka. Procedia Food Science. 2016;6:348–351. https://doi.org/10.1016/j.profoo.2016.02.070.
  6. Ketto IA, Knutsen TM, Oyaas J, Heringstad B, Adnoy T, Devold TG, et al. Effects of milk protein polymorphism and composition, casein micelle size and salt distribution on the milk coagulation properties in Norwegian Red cattle. International Dairy Journal. 2017;70:55–64. https://doi.org/10.1016/j.idairyj.2016.10.010.
  7. Tyulkin SV. The effect of cows genotype on their productivity and milk quality. Food Systems. 2018;1(3):38–43. (In Russ.). https://doi.org/10.21323/2618-9771-2018-1-3-38-43.
  8. Perna A, Intaglietta I, Gambacorta E, Simonetti A. The influence of casein haplotype on quality, coagulation, and yield traits of milk from Italian Holstein cows. Journal of Dairy Science. 2016;99(5):3288–3294. https://doi.org/10.3168/jds.2015-10463.
  9. Gustavsson F, Buitenhuis AJ, Johansson M, Bertelsen HP, Glantz M, Poulsen NA, et al. Effects of breed and casein genetic variants on protein profile in milk from Swedish Red, Danish Holstein, and Danish Jersey cows. Journal of Dairy Science. 2014;97(6):3866–3877. https://doi.org/10.3168/jds.2013-7312.
  10. Volokhov IM, Skachkov DA, Morozov AV, Makarenko VN. Thermostabiliyy of milk cows with different genotype for cappacasein. Zootechniya. 2017;(2):21–23. (In Russ.).
  11. Di Gregorio P, Di Grigoli A, Di Trana A, Alabiso M, Maniaci G, Rando A, et al. Effects of different genotypes at the CSN3 and LGB loci on milk and cheese-making characteristics of the bovine Cinisara breed. International Dairy Journal. 2017;71:1–5. https://doi.org/10.1016/j.idairyj.2016.11.001.
  12. Tanaskovska BR, Srbinovska S. Andonov S, Trojacanec S, Nestoriovski T, Popovski ZT. Genotipization of k-casein in Holstein-Friesian cattle in Macedonia and its association with some milk properties. International Journal of Agriculture Innovations and Research. 2016;5(2):266–270.
  13. Mikhailova YuA, Tamarova RV. Using the method of genetic coding to increase protein milking quality and improve the technological properties of the cows’ milk. Agroindustrial Complex of Upper Volga Region Herald. 2019;45(1):42–45. (In Russ.).
  14. Tyulkin SV, Vafin RR, Zagidullin LR, Akhmetov TM, Petrov AN, Diel F. Technological properties of milk of cows with different genotypes of kappa-casein and beta-lactoglobulin. Foods and Raw Materials. 2018;6(1):154–162. https://doi.org/10.21603/2308-4057-2018-1-154-162.
  15. Petrovska S, Jonkus D, Zagorska J, Ciprovica I. The influence of kappa-casein and beta-lactoglobulin genotypes on milk coagulation properties in Latvia dairy breed. Research for rural development. 2017;2:74–80. https://doi.org/10.22616/rrd.23.2017.052.
  16. Yurova EA, Meldenberg DN, Parfenova EYu. Criteria of the raw milk assessment used to obtain products with guaranteed quality. Dairy Industry. 2019;(4):26–29. (In Russ.). https://doi.org/10.31515/1019-8946-2019-4-26-28.
  17. Yurova EA, Zhizhin NA, Denisovich EYu. Osobennostʹ primeneniya metodov kontrolya pokazateley kachestva i bezopasnosti v molochnoy produktsii [The application of methods for monitoring quality and safety indicators in dairy products]. Milk Processing. 2019;235(5):6–9. (In Russ.). https://doi.org/10.33465/2222-5455-2019-5-6-8.
  18. Tyulkin SV, Muratova AV, Khatipov II, Ahmetov TM, Ravilov RH, Vafin RR. An invention of cattle genotyping means by kappa-casein gene of allele-specific PCR for alleles A and B. Scientific Notes Kazan Bauman State Academy of Veterinary Medicine. 2015;222(2):221–224. (In Russ.).
  19. Strizhko M, Kuznetsova A, Galstyan A, Semipyatniy V, Andrey P, Prosekov A. Development of osmotically active compositions for milk-based products with intermediate humidity. Bulletin of the International Dairy Federation. 2014;472:35–40.
  20. Petrov AN, Galstyan AG, Radaeva IA, Turovskaya SN, Illarionova EE, Semipyatniy VK, et al. Indicators of quality of canned milk: Russian and international priorities. Foods and Raw Materials. 2017;5(2):151–161. https://doi.org/10.21603/2308-4057-2017-2-151-161.
  21. Inikhov GS, Brio NP. Metody analiza moloka i molochnykh produktov [Methods for the analysis of milk and dairy products]. Moscow: Pishchevaya promyshlennostʹ; 1971. 423 p. (In Russ.).
  22. Kharitonov VD, Budrik VG, Troitskiy VN, Bazikov VI. Experimental samples of the equipment for development of technological processes in the food-processing industry. Food Industry. 2010;(10):14–16. (In Russ.).
  23. Donskova LA, Belyaev NM. Comparative evaluation of a protein component of poultry pates. New Technologies. 2016;(1):17–24. (In Russ.).
  24. Zhakslykova SA, Khabibullin REh, Reshetnik OA. Podkhody k optimizatsii sostava sbalansirovannykh myasoproduktov [Approaches to optimizing the composition of balanced meat products]. Bulletin of the Technological University. 2014;17(21):24–247. (In Russ.).
  25. Huppertz T. Heat stability of milk. In: McSweeney PLH, O’Mahony JA, editors. Advanced dairy chemistry. New York: Springer; 2016. pp. 179–196. https://doi.org/10.1007/978-1-4939-2800-2_7.
  26. Fox PF, Guinee TP, Cogan TM, McSweeney PLH. Enzymatic coagulation of milk. In: Fox PF, Guinee TP, Cogan TM, McSweeney PLH, editors. Fundamentals of cheese science. Boston: Springer; 2017. pp. 185–229. https://doi.org/10.1007/978-1-4899-7681-9_7.
  27. Zobkova ZS, Zenina DV, Fursova TP, Gavrilina AD, Shelaginova IR. Effects of the enzyme modification on the fractions composition of curds and whey protein. Dairy Industry. 2017;(4):50–52. (In Russ.).
  28. Zobkova ZS, Haritonov DV, Zenina DV, Fursova TP, Gavrilina AD, Shelaginova IR. The history of the curds technology development. Dairy Industry. 2016;(2):32–33. (In Russ.).
Как цитировать?
κ-casein polymorphism effect on technological properties of dried milk. Foods and Raw Materials, 2021, vol. 9, no. 1, pp. 95-105
DOI
http://doi.org/10.21603/2308-4057-2021-1-95-105
Издатель
Кемеровский государственный университет
https://kemsu.ru
ISSN
2308-4057 (Print) /
2310-9599 (Online)
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