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Article

Association between THRSP Gene Polymorphism and Fatty Acid Composition in Milk of Dairy Cows

by
Daniel Polasik
1,*,
Jacek Golińczak
2,
Witold Proskura
2,
Arkadiusz Terman
1 and
Andrzej Dybus
1
1
Department of Genetics, West Pomeranian University of Technology in Szczecin, al. Piastów 45, 70-311 Szczecin, Poland
2
Faculty of Biotechnology and Animal Husbandry, West Pomeranian University of Technology in Szczecin, Janickiego Street 32, 71-270 Szczecin, Poland
*
Author to whom correspondence should be addressed.
Animals 2021, 11(4), 1144; https://doi.org/10.3390/ani11041144
Submission received: 26 March 2021 / Revised: 12 April 2021 / Accepted: 14 April 2021 / Published: 16 April 2021
(This article belongs to the Section Cattle)
Browse Figures
Versions Notes

Abstract

Simple Summary

The purpose of this study was to detect polymorphism in thyroid hormone-inducible hepatic protein gene (THRSP) and analyze its influence on the fatty acid composition of milk in Jersey and Holstein-Friesian cattle. One single nucleotide polymorphism (SNP) was detected and determined in 224 cows. It was demonstrated that the analyzed variant had a significant influence on several fatty acids content in milk. Obtained results could be applied in breeding programs for improving the quality of milk.

Abstract

Thyroid hormone-inducible hepatic protein is involved in the de novo synthesis of fatty acids in the lactating mammary gland. Different variants of the gene that encodes this protein may be associated with its different activity. The primary aim of this study was to find polymorphism in the THRSP gene and estimate the relationship between individual genotypes and fatty acid composition in milk. Investigations were carried out on 224 cows represented by two breeds—Jersey (n = 80) and Polish Holstein-Friesian (n = 144). Polymorphism in THRSP was detected by Sanger sequencing; however, genotypes were determined by the PCR-RFLP method. It was shown that the analyzed variant had a significant (p < 0.05) influence on palmitic and stearic fatty acids as well as on fatty acids with a chain length of 14, 16, and 6–16 in Jersey breed and on caproic, palmitic, myristoleic, and palmitoleic fatty acids in H-F. Obtained results indicated that analyzed SNP in bovine THRSP gene (rs42714482) may be considered as a potential marker for fatty acid composition in milk

1. Introduction

Milk fat is a source of fatty acids in the human diet, which can be beneficial for health or can be associated with the risk of some diseases [1]. The fatty acid profile can be modified by many factors; among them, environmental and genetic seems to be most important. Whereas environmental conditions can be managed by farmers if the genetic background is more complex to handle. First, we need to know which genes and their variants are correlated with fatty acid composition in milk. Therefore, it is important to analyze candidate genes for this trait, which can be typed based on the physiological role of the encoded protein, QTL mapping or GWAS.
Thyroid hormone-inducible hepatic protein gene (THRSP) encodes Spot14 (S14) protein, which is associated with regulation of the de novo fatty acid synthesis in the liver, adipose tissue, and lactating mammary gland [2]. It was shown that overexpression of THRSP in bovine mammary epithelial cells increased triacylglycerol levels and enhanced the expression of following lipogenic genes: fatty acid synthase (FAS), peroxisome proliferator-activated receptor γ (PPARγ) and sterol regulatory element-binding protein 1 (SREBP1) [3]. THRSP gene polymorphisms were investigated in many domestic animals. Analysis indicated that the THRSP gene in chicken is duplicated and 2 forms are present—THRSPα and THRSPβ. In both paralogs, insertion-deletion (indel) polymorphism was found. It was shown that THRSPα variants were correlated with the deposition of abdominal fat in chickens [4]. In another study, one SNP was detected in chicken THRSPα which together with earlier analyzed indel were associated with growth and body composition traits [5]. Similarly, detected SNP in the goat THRSP gene was studied in relation to growth traits. It was shown that different genotypes were correlated with body weight and chest girth in the Boer goat breed [6]. In pigs, however, SNP found in 5′ proximal regulating region of THRSP was associated with average backfat thickness, average daily weight gain, and loin-eye area [7]. Also in cows, polymorphism in the coding region of this gene was analyzed in relation to meat and carcass traits, as well as fatty acid composition in meat. It was shown that different THRSP genotypes were correlated with water holding capacity and meat tenderness in Qinchuan cattle and with unsaturated, monounsaturated, and few individual fatty acids in the meat of Hanwoo cattle [8,9]. In dairy cattle—Italian H-F, THRSP variants were associated with some milk production traits [10]. Bovine THRSP gene is located on chromosome 29 (Bta29) and consists of 2 exons. The length of the transcript is 1398 bp; however, the protein is composed of 148 aa [11,12]. Although the role of THRSP in the synthesis of fatty acids during lactation, polymorphism in the gene that encodes this protein was not studied in relation to the fatty acid composition of milk. Therefore this study aimed to detect polymorphism in the THRSP gene of Jersey and Polish Holstein-Friesian cattle and to perform association analysis for milk fatty acids profile.

2. Materials and Methods

2.1. Animals

The experiment covered 224 cows that belong to Jersey (n = 80) and Polish Holstein-Friesian (n = 144) breeds. The first group was reared in a tie-stall barn in Greater Poland Voivodeship; however, the second was reared in a free-stall barn in West Pomeranian Voivodeship. Feeding and management of animals on both farms were very similar. Cows were fed by use of a total mixed ration (TMR) diet that contains corn silage, grass haylage, alfalfa silage, straw, solvent-extracted soybean meal, as well as minerals and vitamins. The nutritional composition of feeds applied in the experiment is presented in Table 1. Blood samples were collected into tubes containing K3EDTA during a routine veterinary check-up. Milk samples were collected in lactations 1–4 during trial milking performed by the Polish Federation of Cattle Breeders and Dairy Farmers. The mean day of lactation for Holstein-Friesian cows was 195; however, for Jersey, it was 151.

2.2. Polymorphism Analysis

DNA was isolated from peripheral blood by use of MasterPure™ DNA Purification Kit for Blood Version II (Epicentre Biotechnologies, Madison, WI, USA). Following primers pair, covering bovine THRSP exon 1 was designed using Primer3 software [13]: F 5’-GCTGTGTTGACCTACTGGC-3’, R 5’-CGGCCACCATTACCTTTCCT3’. Primers were designed based on the ENSBTAG00000011666 sequence [10]. PCR cycling was as follows: initial denaturation at 94 °C/5 min, 35 cycles of 94 °C/30 s, 61 °C/45 s, 72 °C/30 s, and final extension at 72 °C/5 min. PCR was performed in a total volume of 15 µL that contains 50–80 ng of genomic DNA, 1.5 mM MgCl2, 0.3 mM of dNTP mix, 12 pmol of each primer, and 0.35 U of Taq polymerase (EURx, Gdansk, Poland). The presence of specific amplicons (598 bp) was confirmed in 1.5% agarose gel with Perfect™ 100–1000 bp DNA Ladder (EURx, Gdansk, Poland). Sequencing of amplicons was performed by an external service (Genomed, Warsaw, Poland). PCR-RFLP method was applied to determine detected THRSP gene variants (rs42714482) [14]. The same pair of primers and conditions as mentioned above were used in PCR. A total of 10 µL of obtained amplicons were digested by BstC8I enzyme (SibEnzyme, Novosibirsk, Russia) in 55 °C at least 3 h. Restriction fragments were separation in 4% agarose gels with a 50 bp DNA Ladder (Genoplast, Rokocin, Poland).

2.3. Milk Composition Analysis

To avoid a period of negative energy balance, milk samples were collected after the 90th day of lactation during morning milking, according to PN-EN ISO 5555:2002 standard. Next samples were transported to the laboratory and stored at −20 °C until further analysis. Lipids were extracted from milk by use of chloroform and methanol mixture in a 2:1 ratio. Next fatty acids were converted into methyl esters using boron trifluoride according to PN-EN ISO 12966-2:2011 standard. Analysis of fatty acids methyl esters was performed using gas chromatography mass-spectroscopy method (GC-MC) in agreement with PN-EN ISO 5508:1996 standard. Fatty acids were identified based on their relative retention time in relation to retention times of standard (SupelcoTM 37 Component FAME Mix, Sigma-Aldrich, Saint Louis, MI, USA). Following fatty acids were analyzed:
  • saturated: C6:0 (caproic), C8:0 (caprylic), C10:0 (capric), C12:0 (lauric), C14:0 (myristic), C16:0 (palmitic), C18:0 (stearic);
  • unsaturated: C14:1 (myristoleic), C16:1 (palmitoleic), C18:1n-9c (oleic), C18:1n-9t (elaidic), C18:2n-6c (linoleic), C18:3n3 (α-linoleic).
Peaks were analyzed by use of TurboMassTM software (PerkinElmer, Waltham, MA, USA).
Additionally, the following indexes were calculated: sum of fatty acids with a chain length of 14 (ΣC14), 16 (ΣC16), 6–16 (ΣC6–16), 18 (ΣC18), Δ9-desaturase index for fatty acid with 14 carbons (Δ9IC14), 16 (Δ9IC16), 18 (Δ9IC18), for monounsaturated fatty acids (Δ9MUFA), saturated fatty acids (SFA), unsaturated fatty acids (UFA), monounsaturated fatty acids (MUFA), polyunsaturated fatty acids (PUFA), UFA/SFA ratio, atherogenic index (AI) and thrombogenic index (TI). The Δ9 desaturase and atherogenic/thrombogenic indices were calculated using the formulas proposed by Lock and Garnsworthy [15] and Ulbricht and Southgate [16].

2.4. Statistical Analysis

Statistical analysis was conducted using R packages [17]. Pedigree data were arranged in Pedigree Viewer, ver. 6.5 (University of New England, Armidale, Australia) [18]. An additive relationship matrix based on a three-generation pedigree was generated using the kinship2 R package (Rochester, MI, USA) [19]. To estimate associations between individual THRSP genotypes and analyzed traits following mixed linear model was estimated and applied using the lmekin function from the coxme R package (Rochester, MI, USA) [20]:
Y = µ + G + LS + β1A + β2DLC + α + e
where: Y—the value of the analyzed trait, µ—overall mean, G—fixed effect of THRSP genotype, LS—fixed effect of lactation number and season, β1A—regression coefficient for the age of cow, β2DLC—regression coefficient for the day of lactation when milk was collected, α—random polygenic effect taking into consideration pedigree relationships, e—the random error. Statistical significance of results was indicated below a p-value of 0.05 (p < 0.05).

3. Results

Sequencing of bovine THRSP exon 1 allowed detection of one missense SNP located in position 193 of the transcript (152 in cds) (Figure 1). This C/T substitution led to alanine to valine exchange in position 51 of the protein.
Restriction analysis showed that the BstC8I enzyme can differentiate detected variants in the THRSP gene. Individual genotypes were determined based on the following restriction fragments lengths: TT—205, 164, 124, 105 bp, CT—205, 164, 124, 116, 105, 89 bp, CC—164, 124, 116, 105, 89 bp (Figure 2).
The distribution of THRSP genotypes and alleles with Hardy-Weinberg equilibrium (HWE) in both analyzed breeds of cows are presented in Table 2. It was shown that TT genotype was most frequent in Jersey (0.33) group; however, CC was most frequent in Polish H-F (0.46). In the case of alleles, reverse tendency was observed where T was the major allele in Jersey cows (0.58), while C in H-F (0.68). Analysis showed that the distribution of genotypes was in agreement with the HWE expectation. Frequencies of individual genotypes were significantly different between Jersey and Polish Holstein-Friesian breeds (χ2 = 29.442, p < 0.01)
Fatty acid composition of milk with some indexes in relation to THRSP variants is shown in Table 3 and Table 4. In Jersey cows, statistically significant differences (p < 0.05) were found between individual genotypes and following milk fatty acids: palmitic, stearic as well as following indexes: fatty acids with a chain length of 14, 16, and 6–16. In Polish H-F cows, associations (p < 0.05) were found for caproic, palmitic, myristoleic, and palmitoleic fatty acids in milk. In both breeds, only one trait was common as correlated with THRSP genotypes—palmitic fatty acid. Jersey cows with TT genotypes were characterized by the highest value; however, Polish H-F with the same variant had the lowest.

4. Discussion

THRSP is a nuclear protein that can regulate lipogenesis [21]. It was found that THRSP may regulate milk fat synthesis by directly affecting the activity of some classical lipogenic enzymes [3]. Recently, Salcedo-Tacuma et al. [22] indicated THRSP as an inhibitor of lipid synthesis in adipose tissue of periparturient Holstein cows.
THRSP gene is involved in de novo fatty acid synthesis. The fatty acids that are synthesized de novo belong to short-chain and medium-chain length acids, from C4 to C14 and also some C16. The C18 fatty acids and some C16, however, arise from the plasma lipids [23]. In our study, we analyzed fatty acids from C6 to C18. We decided to include C18 fatty acids because an earlier report showed a significant decrease in C18:0 upon THRSP overexpression in goat mammary epithelial cells [24].
THRSP gene in Polish H-F and Jersey breeds in relation to milk fatty acids composition was analyzed for the first time. In a previous study, Oh et al. [9] selected 8 SNPs in the bovine THRSP gene from GenBank [13] for analysis in Korean cattle (Hanwoo). Only two of them, namely g.78 G > A and g.184 C > T were polymorphic in this breed. Comparison of sequences from Ensembl [11] and GenBank [14] showed that the g.184 C > T variant is the same as detected in our work (29:17994763 C/T, rs42714482). Analyzed polymorphism causes amino acid substitution in position 51 of the encoded transcription factor, which probably may modify its interaction with regulated genes and, thus, differentiate processes connected with fat milk synthesis, including the composition of individual fatty acids in milk. We found that the frequency of individual genotypes in Korean cattle (CC—0.17, CT—0.46, TT—0.37) was very similar to those observed in our study in Jersey breed. Evolutionary analysis of SNPs located in genes of Hanwoo cattle in relation to data from other cattle breeds, i.e., Jersey, Simmental, Angus, and Holstein showed that the Korean breed was distinctly separated from the other four breeds. Further SNPs analysis, however, showed that the THRSP gene is not classified as Hanwoo-specific, which may reflect similar genetic parameters in Korean and Jersey breeds [25]. When comparing the frequency of THRSP genotypes in Italian Holstein-Friesian cattle (CC—0.48, CT—0.42, TT—0.10), the same was observed in our work for Polish Holstein-Friesian breed [10].
As mentioned earlier, the THRSP gene was not investigated in relation to milk fatty acids. It was studied, however in relation to carcass traits and fatty acid composition of muscle fat in Korean Cattle, as well as to health and milk production traits in Italian Holstein cattle. It was shown that g.184 C > T SNP is significantly correlated with myristic, palmitic, myristoleic, oleic, linoleic, linolenic fatty acids in m. longissimus dorsi, as well as with saturated fatty acids, monounsaturated fatty acids, and monounsaturated/saturated ratio [9]. In our study, we found an association between THRSP genotypes and palmitic fatty acid in milk of Jersey and Polish H-F cows and myristoleic fatty acid in HF cows. In the muscle of Hanwoo and the milk of Jersey cattle, the highest content of palmitic fatty acid was found for the TT genotype. In the Polish H-F breed, however, a reverse tendency was observed, because the TT genotype was correlated with its lowest value. Similarly, TT genotype was favorable for myristoleic fatty acid in the muscle of Hanwoo cows but in the milk of Polish Holstein-Friesian cows, it was disadvantageous. These differences may result from fatty acids content in milk of particular cattle breeds. A significant breed effect on the content, fatty acid profile and atherogenic or thrombogenic properties of milk fat was reported by Sobotka et al. [26]. The concentrations of long-chain saturated fatty acids were significantly higher in the milk fat of Jersey cows than in the H-F breed. The milk of H-F cows had lower fat content but provided more health benefits than the milk of Jersey. It was also confirmed by the analysis of Jersey, H-F, and three other breeds reared in the Netherlands. Breed differences were found for individual fatty acids, among them for palmitic and myristoleic [27]. We cannot also exclude that observed differences in association tendency may be linked with different rearing conditions for both breeds. We found also an association of TT genotypes with higher content of caproic and myristoleic fatty acid in Polish H-F and with lower stearic fatty acid in Jersey, but this relationship was not observed in Hanwoo cattle. Analysis of THRSP gene in Italian Holstein cows also showed a significant association for milk yield, milk fat yield, milk protein yield and productivity, functionality, and type index, with allele T being favorable for these traits [10]. In our study, we did not find any relationships between individual THRSP genotypes and milk yield, fat yield, and fat content both in Polish Holstein-Friesian and Jersey breeds. Similarly, THRSP genotypes were not found to influence the atherogenic and thrombogenic indexes. As mentioned earlier, we also noticed significant associations for stearic, caproic, palmitoleic fatty acids and fatty acids with a chain length of 14, 16, and 6–16. Stearic acid is common in nature, both in animal and vegetable organisms; however, its level is usually higher in animal than vegetable fat [28]. In milk, it arises from the plasma lipids, but interestingly, the highest expression of THRSP is correlated with its decrease in goat mammary epithelium [24]. In the Jersey breed, TT genotype was associated with the lowest level of stearic acid in milk. Caproic, caprylic, and capric fatty acids are known as the reason for the specific aroma of goat and sheep milk [29]. Analysis of caproic acid amount in the milk of different species showed its highest level in goat milk, lowest in sheep; however, in cow milk, it was slightly higher than in sheep [30]. In Polish Holstein-Friesian cows, the TT variant of THRSP related to the highest content of this fatty acid. Palmitoleic acid shows anti-inflammatory and antidiabetic activity and is produced by desaturation of palmitic acid [31]. In Polish H-F animals we found that TT genotype is correlated with the lowest amount of palmitoleic, as well as earlier mentioned palmitic fatty acid, which can reflect their metabolic relationships. In the case of confirmed associations of THRSP polymorphism and fatty acids with a chain length of 14, 16, and 6–16 in Jersey cattle, we obtained unclear results. The highest value of the first trait was found for the CC genotype; however, the second and third traits were found for the TT genotype.

5. Conclusions

The conducted experiment showed that THRSP polymorphism (rs42714482) is associated with milk fatty acid composition in Jersey and Polish Holstein-Friesian cattle. It covers palmitic, stearic caproic, myristoleic, and palmitoleic fatty acids, as well as fatty acids with a chain length of 14, 16, and 6–16 in a particular breed. Only palmitic acid content was the common trait for both breeds, however, with opposite tendency, which may reflect breed differences or/and feeding and housing conditions. Analyzed SNP in bovine THRSP gene could be taken into consideration as a potential marker for fatty acid composition in milk.

Author Contributions

Conceptualization, W.P., A.D.; methodology, W.P., A.D., J.G.; validation, D.P.; formal analysis, D.P., A.D., W.P.; investigation, W.P., A.D., J.G.; data curation, W.P., A.D. writing—original draft preparation, D.P.; writing—review and editing, D.P., A.D., A.T.; supervision—D.P., A.D., A.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research has been partially supported by the National Science Centre of Poland (grant no. UMO-2013/11/N/NZ9/04631).

Institutional Review Board Statement

The bioethics committee approval of this study is not necessary because the experiment was carried out on biological material. This material was derived from breeding farms and was collected during a routine veterinary check-up.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data is contained within the article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Kęsek-Woźniak, M.M.; Wojtas, E.; Zielak-Steciwko, A.E. Impact of SNPs in ACACA, SCD1, and DGAT1 Genes on Fatty Acid Profile in Bovine Milk with Regard to Lactation Phases. Animals 2020, 10, 997. [Google Scholar] [CrossRef]
  2. Wellberg, E.A.; Rudolph, M.C.; Lewis, A.S.; Padilla-Just, N.; Jedlicka, P.; Anderson, S.M. Modulation of tumor fatty acids, through overexpression or loss of thyroid hormone responsive protein spot 14 is associated with altered growth and metastasis. Breast Cancer Res. 2014, 16, 481. [Google Scholar] [CrossRef] [PubMed]
  3. Cui, Y.; Liu, Z.; Sun, X.; Hou, X.; Qu, B.; Zhao, F.; Gao, X.; Sun, Z.; Li, Q. Thyroid hormone responsive protein spot 14 enhances lipogenesis in bovine mammary epithelial cells. Vitr. Cell. Dev. Biol.-Anim. 2015, 51, 586–594. [Google Scholar] [CrossRef] [PubMed]
  4. Wang, X.; Carre, W.; Zhou, H.; Lamont, S.J.; Cogburn, L.A. Duplicated Spot 14 genes in the chicken: Characterization and identification of polymorphisms associated with abdominal fat traits. Gene 2004, 12, 79–88. [Google Scholar] [CrossRef]
  5. Cao, Z.P.; Wang, S.Z.; Wang, Q.G.; Wang, Y.X.; Li, H. Association of Spot14α Gene Polymorphisms with Body Weight in the Chicken. Poult. Sci. 2007, 86, 1873–1880. [Google Scholar] [CrossRef]
  6. An, X.; Zhao, H.; Bai, L.; Hou, J.; Peng, J.; Wang, J.; Song, Y.; Cao, B. Polymorphism identification in the goat THRSP gene and association analysis with growth traits. Arch. Anim. Breed. 2012, 55, 78–83. [Google Scholar] [CrossRef][Green Version]
  7. Wang, X.; Cheng, J.; Qin, W.; Chen, H.; Chen, G.; Shang, X.; Zhang, M.; Balsai, N.; Chen, H. Polymorphisms in 5′ proximal regulating region of THRSP gene are associated with fat production in pigs. 3 Biotech 2020, 10, 267. [Google Scholar] [CrossRef]
  8. Zhang, X.B.; Zan, L.S.; Wang, H.B.; Hao, R.J.; Yang, Y.J. Correlation of C184T Mutation in THRSP Gene with Meat Traits in the Qinchuan Cattle. Sci. Agric. Sin. Zhongguo Nong Ye Ke Xue 2009, 42, 4058–4063. [Google Scholar]
  9. Oh, D.-Y.; Lee, Y.-S.; La, B.-M.; Lee, J.-Y.; Park, Y.-S.; Lee, J.-H.; Ha, J.-J.; Yi, J.-K.; Kim, B.-K.; Yeo, J.-S. Identification of Exonic Nucleotide Variants of the Thyroid Hormone Responsive Protein Gene Associated with Carcass Traits and Fatty Acid Composition in Korean Cattle. Asian-Australas. J. Anim. Sci. 2014, 27, 1373–1380. [Google Scholar] [CrossRef]
  10. Fontanesi, L.; Calò, D.G.; Galimberti, G.; Negrini, R.; Marino, R.; Nardone, A.; Ajmone-Marsan, P.; Russo, V. A candidate gene association study for nine economically important traits in Italian Holstein cattle. Anim. Genet. 2014, 45, 576–580. [Google Scholar] [CrossRef]
  11. Ensembl. Ensembl Genome Browser. ENSBTAG00000011666. Available online: http://www.ensembl.org (accessed on 11 January 2021).
  12. UniprotKB. A0A4W2BRK0. Available online: https://www.uniprot.org/uniprot/A0A4W2BRK0 (accessed on 1 February 2021).
  13. Untergasser, A.; Cutcutache, I.; Koressaar, T.; Ye, J.; Faircloth, B.C.; Remm, M.; Rozen, S.G. Primer3—New capabilities and interfaces. Nucleic Acids Res. 2012, 40, e115. [Google Scholar] [CrossRef]
  14. GenBank. rs42714482, AC_000186.1, AY656814. Available online: https://www.ncbi.nlm.nih.gov/genbank (accessed on 11 January 2021).
  15. Lock, A.; Garnsworthy, P. Seasonal variation in milk conjugated linoleic acid and Δ9—Desaturase activity in dairy cows. Livest. Prod. Sci. 2003, 79, 47–59. [Google Scholar] [CrossRef]
  16. Ulbricht, T.L.V.; Southgate, D.A.T. Coronary heart disease: Seven dietary factors. Lancet 1991, 338, 985–992. [Google Scholar] [CrossRef]
  17. R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2018; Available online: https://www.R-project.org (accessed on 22 September 2020).
  18. Kinghorn, B.P. An algorithm for efficient constrained mate selection. Genet. Sel. Evol. 2011, 43, 4–9. [Google Scholar] [CrossRef] [PubMed]
  19. Therneau, T.; Atkinson, E.; Sinnwell, J.; Schaid, D.; Mcdonnell, S. Kinship2: Pedigree Functions. R Package Version 1.8.5. Available online: http://CRAN.R-project.org/package=kinship2 (accessed on 22 September 2020).
  20. Therneau, T.M. Coxme: Mixed Effects Cox Models, R Package Version 2.2-16. Available online: http://CRAN.R-project.org/package=coxme (accessed on 22 September 2020).
  21. Harvatine, K.J.; Bauman, D.E. SREBP1 and Thyroid Hormone Responsive Spot 14 (S14) Are Involved in the Regulation of Bovine Mammary Lipid Synthesis during Diet-Induced Milk Fat Depression and Treatment with CLA. J. Nutr. 2006, 136, 2468–2474. [Google Scholar] [CrossRef] [PubMed]
  22. Salcedo-Tacuma, D.; Parales-Giron, J.; Prom, C.; Chirivi, M.; Laguna, J.; Lock, A.L.; Contreras, G.A. Transcriptomic profiling of adipose tissue inflammation, remodeling, and lipid metabolism in periparturient dairy cows (Bos taurus). BMC Genom. 2020, 21, 824. [Google Scholar] [CrossRef] [PubMed]
  23. Moore, J.H.; Christie, W.W. Lipid metabolism in the mammary gland or ruminant animals. Prog. Lipid Res. 1979, 17, 347–395. [Google Scholar] [CrossRef]
  24. Yao, D.; Luo, J.; He, Q.; Wu, M.; Shi, H.; Wang, H.; Wang, M.; Xu, H.; Loor, J. Thyroid hormone responsive (THRSP) promotes the synthesis of medium-chain fatty acids in goat mammary epithelial cells. J. Dairy Sci. 2016, 99, 3124–3133. [Google Scholar] [CrossRef] [PubMed]
  25. Lee, D.; Cho, M.; Hong, W.-Y.; Lim, D.; Kim, H.-C.; Cho, Y.-M.; Jeong, J.-Y.; Choi, B.-H.; Ko, Y.; Kim, A.J. Evolutionary Analyses of Hanwoo (Korean Cattle)-Specific Single-Nucleotide Polymorphisms and Genes Using Whole-Genome Resequencing Data of a Hanwoo Population. Mol. Cells 2016, 39, 692–698. [Google Scholar] [CrossRef]
  26. Sobotka, W.; Stanek, M.; Fiedorowicz, E. Health-promoting properties of milk fat depending on cattle breed (Prozdrowotne właściwości tłuszczu mlekowego w zależności od rasy krów). Probl. Hig. Epidemiol. 2015, 96, 808–811. [Google Scholar]
  27. Eijndhoven, M.M.-V.; Bovenhuis, H.; Soyeurt, H.; Calus, M. Differences in milk fat composition predicted by mid-infrared spectrometry among dairy cattle breeds in the Netherlands. J. Dairy Sci. 2013, 96, 2570–2582. [Google Scholar] [CrossRef]
  28. Loften, J.R.; Linn, J.G.; Drackley, J.K.; Jenkins, T.C.; Soderholm, C.G.; Kertz, A.F. Invited review: Palmitic and stearic acid metabolism in lactating dairy cows. J. Dairy Sci. 2014, 97, 4661–4674. [Google Scholar] [CrossRef]
  29. Djordjevic, J.; Ledina, T.; Baltic, M.Z.; Trbovic, D.; Babic, M.; Bulajic, S. Fatty Acid Profile of Milk. In IOP Conference Series: Earth and Environmental Science, Proceedings of the 60th International Meat Industry Conference MEATCON2019, Kopaonik, Serbia, 22–25 September 2019; IOP Publishing: Bristol, UK, 2019; Volume 333, p. 012057. [Google Scholar]
  30. Markiewicz-Kęszycka, M.; Czyżak-Runowska, G.; Lipińska, P.; Wójtowski, J. Fatty Acid Profile of Milk—A Review. Bull. Veter. Inst. Pulawy 2013, 57, 135–139. [Google Scholar] [CrossRef]
  31. Lai, O.-M.; Tan, C.-P.; Akoh, C.C. Palm Oil: Production, Processing, Characterisation, and Uses; Elsevier: Amsterdam, The Netherlands, 2012; ISBN 9780981893693. [Google Scholar]
Animals 11 01144 g001
Figure 1. Sequencing results showing the polymorphic site in the bovine THRSP gene, Y—heterozygous genotype (CT).
Figure 1. Sequencing results showing the polymorphic site in the bovine THRSP gene, Y—heterozygous genotype (CT).
Animals 11 01144 g001
Animals 11 01144 g002
Figure 2. Determination of THRSP genotypes by use of PCR-RFLP method, M—50 bp DNA Ladder (50, 100, 150, 200, 250, 300, 400, 500 bp) (Genoplast, Poland).
Figure 2. Determination of THRSP genotypes by use of PCR-RFLP method, M—50 bp DNA Ladder (50, 100, 150, 200, 250, 300, 400, 500 bp) (Genoplast, Poland).
Animals 11 01144 g002
Table 1. Nutritional composition of feeds.
Table 1. Nutritional composition of feeds.
Parameter Breed
Holstein-FriesianJersey
Dry weight%45.040.7
Proteing/kg dw149.9157.4
Fatg/kg dw32.629.8
Carbohydratesg/kg dw763.3727.7
Calciummg/kg dw6.09.0
Magnesiummg/kg dw2.93.4
Phosphorusmg/kg dw2.84.7
Natriummg/kg dw2.62.7
Table 2. Distribution of THRSP genotypes and alleles in analyzed breeds of cows.
Table 2. Distribution of THRSP genotypes and alleles in analyzed breeds of cows.
BreednGenotypesAllelesHWE
CCCTTTCTχ2p
Jersey800.16
(n = 13)		0.51
(n = 41)		0.33
(n = 26)		0.420.580.2230.637
Polish Holstein-Friesian1440.46
(n = 66)		0.45
(n = 65)		0.09
(n = 13)		0.680.320.2820.596
HWE—Hardy-Weinberg equilibrium.
Table 3. Association of THRSP genotypes with analyzed traits of milk in Jersey cows.
Table 3. Association of THRSP genotypes with analyzed traits of milk in Jersey cows.
TraitGenotypeMeanp
CC (n = 13)CT (n = 41)TT (n = 26)
MY22.646 ± 4.65320.917 ± 3.74922.323 ± 4.14221.655 ± 4.053n.s.
FY1.193 ± 0.2321.049 ± 0.1911.114 ± 0.2451.093 ± 0.220n.s.
FC5.306 ± 0.5445.045 ± 0.6244.995 ± 0.7025.072 ± 0.640n.s.
C6:02.913 ± 0.4332.626 ± 0.3772.694 ± 0.3702.695 ± 0.392n.s.
C8:01.877 ± 0.3311.637 ± 0.2381.653 ± 0.2961.681 ± 0.284n.s.
C10:03.553 ± 0.2923.407 ± 0.4313.425 ± 0.4533.437 ± 0.418n.s.
C12:04.173 ± 0.3893.928 ± 0.5393.901 ± 0.6093.959 ± 0.545n.s.
C14:012.716 ± 0.87312.351 ± 1.21112.241 ± 1.32012.375 ± 1.198n.s.
C16:037.197 ± 2.523 a37.346 ± 3.20738.462 ± 3.028 b37.684 ± 3.062p < 0.05
C18:012.516 ± 1.46112.883 ± 1.599 b12.242 ± 1.726 a12.615 ± 1.627p < 0.05
C14:11.517 ± 0.3961.299 ± 0.3511.323 ± 0.4231.342 ± 0.386n.s.
C16:11.588 ± 0.2351.543 ± 0.2821.710 ± 0.4441.605 ± 0.342n.s.
C18:1n-9c15.703 ± 1.95917.001 ± 3.49616.569 ± 3.71616.650 ± 3.370n.s.
C18:1n-9t1.092 ± 0.1681.021 ± 0.2041.039 ± 0.2201.038 ± 0.203n.s.
C18:2n-6c2.119 ± 0.3212.018 ± 0.3341.900 ± 0.3891.996 ± 0.355n.s.
C18:3n-30.114 ± 0.0420.118 ± 0.0500.103 ± 0.0450.113 ± 0.047n.s.
ΣC1414.233 ± 1.093 b13.650 ± 1.43913.564 ± 1.583 a13.717 ± 1.441p < 0.05
ΣC1638.786 ± 2.466 a38.889 ± 3.15240.172 ± 3.057 b39.289 ± 3.048p < 0.05
ΣC6–1662.622 ± 3.45261.511 ± 4.809 a62.717 ± 4.770 b62.083 ± 4.590p < 0.05
ΣC1831.557 ± 3.39633.055 ± 5.00231.865 ± 5.10632.424 ± 4.807n.s.
Δ9IC149.458 ± 3.3429.065 ± 2.77510.052 ± 3.3089.450 ± 3.042n.s.
Δ9IC165.734 ± 2.2144.847 ± 1.4174.839 ± 1.5694.988 ± 1.628n.s.
Δ9IC1865.067 ± 7.09063.796 ± 5.73965.410 ± 3.99564.527 ± 5.472n.s.
Δ9MUFA23.154 ± 2.37924.049 ± 3.90823.703 ± 4.18123.791 ± 3.772n.s.
SFA77.304 ± 2.31476.467 ± 3.77676.839 ± 4.17676.724 ± 3.694n.s.
UFA22.696 ± 2.31423.533 ± 3.77623.161 ± 4.17623.276 ± 3.694n.s.
MUFA20.160 ± 2.12021.135 ± 3.56020.913 ± 3.92820.904 ± 3.479n.s.
PUFA2.536 ± 0.3942.398 ± 0.4162.248 ± 0.4382.372 ± 0.426n.s.
UFA/SFA0.295 ± 0.0390.311 ± 0.0690.305 ± 0.0770.307 ± 0.067n.s.
AI4.125 ± 0.6613.986 ± 0.8784.095 ± 0.9074.044 ± 0.849n.s.
TI5.250 ± 0.7395.183 ± 0.9875.324 ± 0.9785.240 ± 0.940n.s.
MY—milk yield [kg], FY—fat yield [kg], FC—fat content [%], SFA—saturated fatty acids, UFA—unsaturated fatty acids, MUFA—monounsaturated fatty acids, PUFA—polyunsaturated fatty acids, AI—atherogenic index, TI—thrombogenic index; a,b—means with different superscripts in the same row differ statistically significant at p < 0.05, n.s.—not significant.
Table 4. Association of THRSP genotypes with analyzed traits of milk in Polish Holstein-Friesian cows.
Table 4. Association of THRSP genotypes with analyzed traits of milk in Polish Holstein-Friesian cows.
TraitGenotypeMeanp
CC (n = 66)CT (n = 65)TT (n = 13)
MY31.344 ± 8.44130.434 ± 8.71130.877 ± 7.97530.891 ± 8.478n.s.
FY1.267 ± 0.3691.266 ± 0.3501.264 ± 0.3831.266 ± 0.359n.s.
FC4.067 ± 0.5984.221 ± 0.6634.098 ± 0.6784.140 ± 0.635n.s.
C6:02.296 ± 0.4422.173 ± 0.420 a2.458 ± 0.470 b2.255 ± 0.440p < 0.05
C8:01.333 ± 0.2411.278 ± 0.2471.372 ± 0.2881.312 ± 0.248n.s.
C10:03.097 ± 0.5102.988 ± 0.5813.169 ± 0.7303.054 ± 0.564n.s.
C12:03.712 ± 0.5543.656 ± 0.7083.756 ± 0.7743.691 ± 0.644n.s.
C14:012.478 ± 1.34212.170 ± 1.59212.379 ± 1.38112.330 ± 1.461n.s.
C16:041.211 ± 5.07341.450 ± 4.590 b39.644 ± 5.248 a41.177 ± 4.867p < 0.05
C18:09.377 ± 2.4168.871 ± 2.54110.269 ± 2.6999.229 ± 2.514n.s.
C14:11.321 ± 0.4621.443 ± 0.521 b1.107 ± 0.372 a1.357 ± 0.490p < 0.05
C16:12.062 ± 0.6332.352 ± 0.758 b1.849 ± 0.606 a2.174 ± 0.707p < 0.05
C18:1n-9c16.275 ± 2.86316.660 ± 3.60917.012 ± 3.40016.515 ± 3.253n.s.
C18:1n-9t0.962 ± 0.2911.046 ± 0.3270.896 ± 0.1650.994 ± 0.302n.s.
C18:2n-6c2.865 ± 0.6792.718 ± 0.6183.180 ± 0.7372.827 ± 0.666n.s.
C18:3n-30.280 ± 0.0990.280 ± 0.0870.310 ± 0.1060.283 ± 0.094n.s.
ΣC1413.799 ± 1.49013.613 ± 1.79813.486 ± 1.34213.687 ± 1.619n.s.
ΣC1643.274 ± 5.06643.801 ± 4.70541.493 ± 5.24943.351 ± 4.929n.s.
ΣC6–1667.511 ± 4.83667.509 ± 5.45665.733 ± 5.70467.350 ± 5.190n.s.
ΣC1829.772 ± 4.81029.588 ± 5.70131.680 ± 5.71829.861 ± 5.305n.s.
Δ9IC149.515 ± 2.95210.493 ± 3.3528.263 ± 2.8469.844 ± 3.184n.s.
Δ9IC164.824 ± 1.5635.393 ± 1.6474.511 ± 1.5195.053 ± 1.619n.s.
Δ9IC1863.698 ± 5.35565.449 ± 5.20562.483 ± 6.03764.379 ± 5.411n.s.
Δ9MUFA23.766 ± 3.89624.625 ± 3.98024.245 ± 4.53424.197 ± 3.986n.s.
SFA75.709 ± 3.74674.937 ± 3.89775.112 ± 4.52475.306 ± 3.877n.s.
UFA24.291 ± 3.74625.063 ± 3.89724.888 ± 4.52424.694 ± 3.877n.s.
MUFA20.901 ± 3.28621.805 ± 3.70221.135 ± 4.01321.330 ± 3.547n.s.
PUFA3.391 ± 0.7823.259 ± 0.7153.753 ± 0.8743.364 ± 0.768n.s.
UFA/SFA0.324 ± 0.0690.338 ± 0.0740.336 ± 0.0820.332 ± 0.072n.s.
AI4.017 ± 0.7853.860 ± 0.8003.902 ± 1.0523.936 ± 0.815n.s.
TI4.922 ± 0.9534.725 ± 0.8934.777 ± 1.1854.820 ± 0.947n.s.
MY—milk yield [kg], FY—fat yield [kg], FC—fat content [%], SFA—saturated fatty acids, UFA—unsaturated fatty acids, MUFA—monounsaturated fatty acids, PUFA—polyunsaturated fatty acids, AI—atherogenic index, TI—thrombogenic index; a,b—means with different superscripts in the same row differ statistically significant at p < 0.05, n.s.—not significant.
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Polasik, D.; Golińczak, J.; Proskura, W.; Terman, A.; Dybus, A. Association between THRSP Gene Polymorphism and Fatty Acid Composition in Milk of Dairy Cows. Animals 2021, 11, 1144. https://doi.org/10.3390/ani11041144

AMA Style

Polasik D, Golińczak J, Proskura W, Terman A, Dybus A. Association between THRSP Gene Polymorphism and Fatty Acid Composition in Milk of Dairy Cows. Animals. 2021; 11(4):1144. https://doi.org/10.3390/ani11041144

Chicago/Turabian Style

Polasik, Daniel, Jacek Golińczak, Witold Proskura, Arkadiusz Terman, and Andrzej Dybus. 2021. "Association between THRSP Gene Polymorphism and Fatty Acid Composition in Milk of Dairy Cows" Animals 11, no. 4: 1144. https://doi.org/10.3390/ani11041144

APA Style

Polasik, D., Golińczak, J., Proskura, W., Terman, A., & Dybus, A. (2021). Association between THRSP Gene Polymorphism and Fatty Acid Composition in Milk of Dairy Cows. Animals, 11(4), 1144. https://doi.org/10.3390/ani11041144

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