Open Accessκ-casein polymorphism effect on technological properties of dried milk
Author(s) -
Р. Р. Вафин,
И. А. Радаева,
А.Г. Кручинин,
Е.Е. Илларионова,
А.В. Бигаева,
S.N. Turovskaya,
Г. А. Белозеров,
Kh.Kh. Gilmanov,
E.A. Yurova
Publication year - 2021
Publication title -
foods and raw materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.212
H-Index - 8
eISSN - 2310-9599
pISSN - 2308-4057
DOI - 10.21603/2308-4057-2021-1-95-105
Subject(s) - genotype , casein , raw milk , food science , fermented milk products , breed , biology , polymorphism (computer science) , allele , restriction fragment length polymorphism , gene , genetics , lactic acid , bacteria
. 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.