Abstract
Aim:The study aimed to identify fatty acid synthase (FASN), LOC514211, and fat mass and obesity-associated (FTO) gene polymorphisms and to investigate their associations with milk traits in an Indonesian-Holstein dairy cow population.Materials and Methods:A total of 100 Indonesian-Holstein cows consisting of 50 heads (0th generation; G0) and 50 heads of their daughters (1st generation; G1) were used. Polymerase chain reaction-restriction fragment length polymorphism was performed to genotype three single nucleotide polymorphisms: rs41919985 in the FASN gene, rs42688595 in the LOC514211 gene, and g.1371T>A in the FTO gene.Results:FASN rs41919985 was associated with milk protein percentage (p<0.05), FTO g.1371T>A was associated with milk fat percentage (p<0.05), and LOC514211 rs42688595 was not associated with any trait (p>0.05). Heterozygote variants showed a higher protein percentage for FASN and the highest fat percentage for FTO. These associations were consistent in the G0 and G1 populations.Conclusion:Our results indicate that the milk protein and fat percentages can be improved by increasing the frequency of the AG genotype of FASN and the AT genotype of FTO, respectively.
Highlights
At present, dairy farmers are concerned with the milk yield and the milk quality [1] because it affects the selling price to the milk processing industry
fatty acid synthase (FASN) rs41919985 was associated with milk protein percentage (pA was associated with milk fat percentage (p0.05)
Our results indicate that the milk protein and fat percentages can be improved by increasing the frequency of the AG genotype of FASN and the AT genotype of FTO, respectively
Summary
Dairy farmers are concerned with the milk yield and the milk quality [1] because it affects the selling price to the milk processing industry. One method used to improve milk quality is to increase the genetic quality of cattle through selection [2]. It is necessary to have the records of the parents and offspring. On the contrary, when phenotypic data are not available, genomic selection can be used to predict each individual’s genomic value, which can shorten generation intervals [3]. Schaeffer [4] stated that genomic selection can increase the efficiency of genetic gains per year by up to 50% and reduce 92% of the operational costs for progeny testing. A single nucleotide polymorphism (SNP) at the DNA level can be used for marker-assisted selection to select cattle with superior qualities [5]
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