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Background and Aim: Milk physicochemical properties play essential role in the milk processing industry, which are moderately to highly affected by genetic factors. This study aimed to evaluate the association between single nucleotide polymorphisms in POU class 1 homeobox 1 (POU1F1) and the physicochemical properties of milk in high-producing Holstein Friesian (HF) cows. Materials and Methods: A total of 149 high-producing dairy cows from PT Ultra Peternakan Bandung Selatan was included in this study. The physicochemical properties of milk, including density, freezing point, pH, lactose, solid non-fat, protein, and ash content, were determined. Moreover, three polymorphisms within the exon regions of POU1F1 (c.195G>A, c.300G>T, and c.828G>A) were analyzed using polymerase chain reaction-restriction fragment length polymorphism. The association between these polymorphisms and the physicochemical properties of milk was determined using a mixed-effects model analysis, in which the lactation period was used as a covariate. Results: This study found that two polymorphisms, c.195G>A and c.828G>A, significantly affected the pH of fresh milk. Cows with both the GG genotypes c.195G>A and c.828G>A had lower milk pH values than those with the other genotypes. In addition, a non-significant effect of POU1F1 was observed on the other physicochemical properties of milk. Conclusion: Two POU1F1 polymorphisms determined the pH of fresh milk in the Indonesian HF population. These are potential marker candidates for milk pH that directly affect the development of dairy products in the milk processing industry. Keywords: exonic mutation, Holstein Friesian, milk pH, physicochemical properties, POU1F1.
Background and Aim: Milk physicochemical properties play essential role in the milk processing industry, which are moderately to highly affected by genetic factors. This study aimed to evaluate the association between single nucleotide polymorphisms in POU class 1 homeobox 1 (POU1F1) and the physicochemical properties of milk in high-producing Holstein Friesian (HF) cows. Materials and Methods: A total of 149 high-producing dairy cows from PT Ultra Peternakan Bandung Selatan was included in this study. The physicochemical properties of milk, including density, freezing point, pH, lactose, solid non-fat, protein, and ash content, were determined. Moreover, three polymorphisms within the exon regions of POU1F1 (c.195G>A, c.300G>T, and c.828G>A) were analyzed using polymerase chain reaction-restriction fragment length polymorphism. The association between these polymorphisms and the physicochemical properties of milk was determined using a mixed-effects model analysis, in which the lactation period was used as a covariate. Results: This study found that two polymorphisms, c.195G>A and c.828G>A, significantly affected the pH of fresh milk. Cows with both the GG genotypes c.195G>A and c.828G>A had lower milk pH values than those with the other genotypes. In addition, a non-significant effect of POU1F1 was observed on the other physicochemical properties of milk. Conclusion: Two POU1F1 polymorphisms determined the pH of fresh milk in the Indonesian HF population. These are potential marker candidates for milk pH that directly affect the development of dairy products in the milk processing industry. Keywords: exonic mutation, Holstein Friesian, milk pH, physicochemical properties, POU1F1.
Background & aims: Higher levels of circulatory branched chain amino acids (BCAA, isoleucine, leucine, and valine) are associated with a higher risk of diabetes and cardiovascular diseases. Diet is the main source of BCAA, but previous studies have shown conflicting results on the influence of diet on circulatory BCAA concentration. We evaluated the association between BCAA concentration and diet in a large population-based sample. Methods Data from 2159 participants (58.2% women, mean age 53.4 ± 8.6years) was included. Dietary intake was assessed by questionnaire and included 91 individual foods and 15 different nutrients. BCAA concentrations were measured by stable isotope dilution liquid chromatography-mass spectrometry (LC-MS) assay. Results The circulatory BCAA levels were higher in men than in women (250.2 ± 45.2 vs. 207.9 ± 36.1, 136.0 ± 24.4 vs 106.3 ± 17.4, 63.6 ± 13.0 vs 48.1 ± 9.2 µmol/L, p < 0.001). BCAA levels were negatively associated with vegetal protein intake (multivariable-adjusted beta: -0.051 and − 0.063 for Isoleucine and Valine, respectively, p < 0.05) and dairy product (-0.037, -0.063 and − 0.038, respectively, p < 0.05) consumption. The opposite trend was observed for consumption of meat and meat-derived products, but the associations did not reach statistical significance. Of the 15 different nutrients, 13 showed a significant correlation with BCAA. Specifically, total protein, total carbohydrates, polysaccharides, saturated fat (SFA), and total fat all showed significant positive association with BCAA, while total fibre, monosaccharides, and calcium showed significant negative correlations with BCAA. Conclusions Levels of circulatory in humans are negatively associated with plant protein and positively associated with polysaccharides, total fat, and animal protein. The associations are gender specific.
The casein gene cluster spans 250 to 350 kb across mammalian species and is flanked by non-coding DNA with largely unknown functions. These regions likely harbor elements regulating the expression of the 4 casein genes. In Bovidae, this cluster is well studied in domestic cattle and to a lesser extent in zebu and water buffalo. This study used a cattle-specific SNP microarray to analyze 12 Bovidae taxa and estimate casein gene cluster variability across 5 bovid subfamilies. Genotyping identified 126 SNPs covering the entire casein gene cluster and 2 Mb of upstream and downstream regions. Dairy cattle, watusi, and zebu showed the highest polymorphism: 63.7–68.2% in the 5′-upstream region, 35.6–40.0% in the casein cluster, and 40.4–89.4% in the 3′-downstream region. Among wild bovids, only a ‘semi-aquatic’ lechwe revealed high polymorphism similar to cattle. Other species exhibited lower variability, ranging from 9.1–27.3% in the 5′-upstream, 8.9–20.0% in the casein, and 4.2–10.6% in the 3′-downstream regions. For the first time, genome variability data were obtained for impala, waterbuck, and lechwe. It appears that higher variability in cattle’s casein gene cluster may relate to its intense expression. This study confirms the effectiveness of cattle-derived microarrays for genotyping Bovidae.
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