Association between polymorphism in bovine PRKAG3 gene and milk production traits

The aim of the conducted study was to evaluate correlation between genotypes and PRKAG3 compound genotypes and milk production traits (yield of milk, milk fat and milk protein, and protein and fat content in milk). The study covered a herd of 180 Jersey cows. PCR-RFLP method was used for genotyping. The frequencies of alleles that occur mostly and combined genotypes were as follows: T1526G G - 0.57, G 1609A G - 0.92 and for T1526G/G1609A TG/GG - 0.54. The results obtained in the study demonstrated the correlation between analyzed genotypes and selected milk production traits; however they are not statistically significant.     

Genetic effects of stearoyl-coenzyme A desaturase (SCD) polymorphism on milk production traits in the Chinese dairy population

Stearoyl-CoA desaturase (SCD) is a multifunctional complex enzyme important in the cellular biosynthesis of fatty acids. The present study was to investigate the association of the SCD gene with milk production traits in dairy cattle. Two single nucleotide polymorphisms (SNPs) (g.6926A>G and g.8646A>G) in introns 3 and 4, and three SNPs (g.10153A>G, g.10213T>C and g.10329C>T) in exon 5 were identified with pooled DNA sequencing and genotyped using matrix-assisted laser desorption/ionization time of flight mass spectrometry assay in 752 Chinese Holstein cows. Polymorphism g.10329C>T was predicted to result in an amino acid replacement from alanine to valine in the SCD protein. With a mixed animal model, the significant associations of the five SNPs with 305-day milk, fat and protein yields and protein percentage were determined. We further demonstrated cows with heterozygous genotypes (A/G or C/T) had highest 305 day milk yield, fat yield, protein yield and lowest protein percentage. Heterozygous cows with genotype AG at the g.6926A>G locus showed the greatest milk yield (P < 0.0001), fat yield (P < 0.0001) and protein yield (P < 0.0001) among other heterozygous genotypes at any of the loci. Dominance effects of all identified SNPs on milk, fat and protein yields and protein percentage were significant. Moreover, significant allele substitution effects at g.6926A>G locus on milk yield and at g.10213T>C on protein yield were observed. Five-locus haplotypes and strong linkage disequilibrium (D' > 0.9) between the five SNPs were also observed. The results suggest that identified polymorphisms could be potential genetic markers to improve the production performance of Chinese Holstein.     

Associations of the bovine major histocompatibility complex DRB3 (BoLA-DRB3) with production traits in Canadian dairy cattle

Associations of two alleles of the bovine major histocompatibility complex DRB3 gene (BoLA-DRB3) with lowered somatic cell score (SCS) and occurrence of disease (BoLA-DRB3.2* 16 and *23, respectively) have previously been documented. The objective of this study was to evaluate potential relationships between BoLA-DRB3 alleles with production traits, namely 305-day milk, milk fat and milk protein yield, in a population of Canadian dairy cattle (Holstein, n = 835 and Jersey, n = 66) over the course of two lactations. No significant associations were detected between BoLA alleles and production traits in Jerseys. In Holsteins, alleles *16 and *23 also did not show associations with production traits but allele *8 was significantly associated with increased 305-day milk, fat and protein yields in the previous lactation (the lactation prior to immunization with a gram negative core antigen vaccine), and with increased protein production in the subsequent (with reference to the time of immunization) lactation. Allele *22 was associated with decreased milk and protein yield in both previous and subsequent lactations. Therefore, it can be concluded that increasing or decreasing the frequency of BoLA alleles *16 and *23 to reduce SCS or increase resistance to mastitis in this population would not have adverse effects on production in this population, and that certain BoLA alleles (*8 and *22) are associated with altered production traits in Canadian Holsteins.     

中国荷斯坦牛POU1F1基因与PRL基因的多态性及其聚合效应对产奶性状的影响

文章采用DNA测序、PCR-RFLP和CRS-PCR技术对979头中国荷斯坦牛POU1F1基因与PRL基因进行研究,发现了3个新SNPs,分别是POU1F1基因第二外显子G1178C、PRL基因5侧翼区A906G和A1134G。采用SAS统计软件GLM程序,利用最小二乘法拟合线性模型,分析基因多态性与产奶性状的关系。结果表明:POU1F1基因1178位点GC基因型在产奶量、乳蛋白量、乳脂量方面均为优良基因型。PRL基因5侧翼区906位点AG基因型在产奶量方面为优良基因型,1134位点不同基因型产奶性状差异不显著。对PRL基因5侧翼区的906位点和POU1F1基因的1178位点进行基因互作分析,结果在乳脂率、乳蛋白率、产奶量、乳蛋白量和乳脂量方面各基因型组合之间均未观察到显著差异,说明基因聚合效应并不是单基因效应的简单相加,基因聚合效应在分子育种中具有更重要的意义。     

Association between polymorphism in bovine <Emphasis Type="Italic">PRKAG3</Emphasis> gene and milk production traits

The aim of the conducted study was to evaluate correlation between genotypes and PRKAG3 compound genotypes and milk production traits (yield of milk, milk fat and milk protein, and protein and fat content in milk). The study covered a herd of 180 Jersey cows. PCR-RFLP method was used for genotyping. The frequencies of alleles that occur mostly and combined genotypes were as follows: T1526G G − 0.57, G1609A G − 0.92 and for T1526G/G1609A TG/GG − 0.54. The results obtained in the study demonstrated the correlation between analyzed genotypes and selected milk production straits; however they are not statistically significant.     

Effect of leptin gene polymorphism on the breeding value of milk production traits in Iranian Holstein

New molecular techniques focused on genome analysis, open new possibilities for more accurate evaluation of economiclly important traits in farm animals. Milk production traits are typical quantitative characteristics controlled by a number of genes. Mutations in their sequences may alter animal performance as well as their breeding values. In this study, we investigated the effect of Kpn2I restriction fragment length polymorphisms in the leptin gene, on bull breeding values for milk yield, fat, and protein yield, and their percentage. In order to test for an association between the leptin single-nucleotide polymorphism in exon 2 and milk productivity, we genotyped 134 Iranian Holstein bulls. Breeding values for milk-related traits (milk yield, fat, and protein yield and percentage) were estimated using the BLUP based on an animal model. The effect of the genotypes of Kpn2I polymorphism on the breeding values for milk-related traits was examined using least square methods. The T allele frequency was 0.425. Genotypes were distributed according to the Hardy-Weinberg equilibrium. Bulls with TT genotype had higher milk, fat and protein yield compared with TC and CC bulls (P < 0.05). Bulls with CC genotype had higher protein percentage compared with TT and TC bulls (P < 0.05). The association between leptin polymorphism with milk production traits suggests that this marker may be useful for selection based on molecular information.     

Differential expression of genes in milk of dairy cattle during lactation

The milk fat globule (MFG) is one of the most representative of mammary gland tissues and can be utilized to study gene expression of lactating cows during lactation. In this study, RNA‐seq technology was employed to detect differential expression of genes in MFGs at day 10 and day 70 after calving between two groups of cows with extremely high (H group) and low (L group) 305‐day milk yield, milk fat yield and milk protein yield. In total, 1232, 81, 429 and 178 significantly differentially expressed genes (false discovery rate q < 0.05) were detected between H10 and L10, H70 and L70, H10 and H70, and L10 and L70 respectively. Gene Ontology enrichment and pathway analysis revealed that these differentially expressed genes were enriched in biological processes involved in mammary gland development, protein and lipid metabolism process, signal transduction, cellular process, differentiation and immune function. Among these differentially expressed genes, 178 (H10 vs. L10), 4 (H70 vs. L70), 68 (H10 vs. H70) and 22 (L10 vs. L70) were found to be located within previously reported QTL regions for milk production traits. Based on these results, some promising candidate genes for milk production traits in dairy cattle were suggested.     

Candidate genes for milk production traits in Portuguese dairy sheep

In this study, the influence of the β-lactoglobulin, prolactin and α_S1-casein variants on milk production traits of three Portuguese sheep breeds, including Serra da Estrela, White Merino and Black Merino, was analyzed. The genetic variants of each marker were identified using PCR-RFLP. β-Lactoglobulin genotype AA was associated with lower milk yield in Serra da Estrela and Merino ewes. This marker also affected milk fat content in Serra da Estrela and protein content in Merino. First results regarding the influence of the sheep prolactin gene on milk production traits are reported. In the Serra da Estrela breed, ewes carrying prolactin genotype AA were significantly associated with lower milk yield, but this influence of prolactin genotypes on milk yield was not detected in Merino. Prolactin genotypes were also significantly associated with milk fat and protein contents in the Serra da Estrela breed. A suggestive effect of the α_S1-casein locus on milk yield was detected in Serra da Estrela, but no associations were found between the variants of this marker with milk fat and protein content.     

Identification of novel SNP in caprine <Emphasis Type="BoldItalic">β</Emphasis>-lactoglobulin gene

β-lactoglobulin (β-LG) gene is suggested as a functional candidate gene for milk yield and milk composition. β-LG polymorphism has been reported to be associated with milk yield in cows, sheep and Indian goats. This study was performed to identify SNPs in exon 7 of β-LG gene and their association with milk traits in Iranian local Mahabadi goats using polymerase chain reaction (PCR)-single-strand conformation polymorphism (SSCP) and PCR-sequencing. Three SSCP patterns were observed with frequencies 0.678, 0.096 and 0.226, respectively. Subsequently, after sequencing each unique pattern nine novel mutations were identified. These mutations include: T InDel at nucleotide position 93 and substitutions T/C, T/G, T/C, G/T, T/G, T/C, G/A and A/T at nucleotide positions 99, 124, 126, 134, 147, 156, 176 and 177, respectively. Of these, seven mutations were same among the genotypic patterns while differences were related to T deletion and insertion (-/T) at nucleotide position 93 with frequencies 0.22 and 0.78 in the presence and absence of T allele, respectively; and substitution (A/T) at nucleotide position 177 with frequencies 0.16 and 0.84 for A and T alleles, respectively. Milk traits including milk production (gr), milk fat and protein (%) were also measured. These findings demonstrated that β-LG gene had a significant effect on milk protein percentage (P < 0.05), but had no significant effect on milk production and milk fat percentage.     

Sequence Variations in the Bovine Growth Hormone Gene Characterized by Single-Strand Conformation Polymorphism (Sscp) Analysis and Their Association with Milk Production Traits in Holsteins

Sequence variations in the bovine growth hormone (GH) gene were investigated by single strand conformation polymorphism (SSCP) analysis of seven amplified fragments covering almost the entire gene (2.7 kb). SSCPs were detected in four of these fragments and a total of six polymorphisms were found in a sample of 128 Holstein bulls. Two polymorphisms, a T->C transition in the third intron (designated GH4.1) and an A->C transversion in the fifth exon (designated GH6.2), were shown to be associated with milk production traits. GH4.1(c)/GH4.1(c) bulls had higher milk yield than GH4.1(c)/GH4.1(t) (P <= 0.005) and GH4.1(t)/GH4.1(t) (P <= 0.0022) bulls. GH4.1(c)/GH4.1(c) bulls had higher kg fat (P <= 0.0076) and protein (P <= 0.0018) than GH4.1(c)/GH4.1(t) bulls. Similar effects on milk production traits with the GH6.2 polymorphism were observed with the GH6.2(a) allele being the favorable allele. The average effects of the gene substitution for GH4.1 and GH6.2 are similar, with +/-300 kg for milk yield, +/-8 kg for fat content and +/-7 kg for protein content per lactation. The positive association of GH4.1(c) and GH6.2(a) with milk production traits may be useful for improving milk performance in dairy cattle.     

Detection of QTL for milk production traits in cattle by application of a specifically developed marker map of BTA6

Interval mapping was carried out to identify quantitative trait loci (QTL) for milk production traits in five granddaughter design families of the German Holstein population. Fourteen randomly generated markers spanning the whole of BTA6 and six targeted microsatellite markers from BTA6q21-31 were included in the analysis. In one family a QTL with effects on milk fat yield and milk protein yield was mapped to the interval TGLA37-FBN13 (3 CM proximal to FBN13, lodscore 3.22) in the middle part of the chromosome. Although there are several reports about QTL with effects on milk production traits on BTA6 in the literature, a QTL with effects on milk fat and milk protein yield has not been previously described.     

Association between CSN3 and BCO2 gene polymorphisms and milk performance traits in the Czech Fleckvieh cattle breed

Daily milk, fat and protein yield and amount of somatic cells in cow milk are very important factors that influence milk performance traits. An association between polymorphisms in the kappa casein (CSN3) gene and milk production, composition and technical properties has been previously reported; however, this type of information is not available for the bovine β-carotene oxygenase 2 (BCO2) gene--the BCO2 gene has relationship with milk color and meat fat color, which is dependent on content of β-carotene. We analyzed these two genes and their relationship with milk performance traits (daily milk, fat and protein yield, somatic cell count, SCC) in one cattle population, Czech Fleckvieh (N = 152). All animals were milked twice a day and kept in the same environmental conditions. The Fleckvieh is a typical Czech cattle breed farming for milk and meat production. It is the most common breed in the Czech Republic. DNA was isolated from milk or from hairs. Genes were analyzed using PCR-RFLP, frequencies of alleles and genotypes were calculated and association analysis was performed using a GLM Procedure in SAS. Statistical analysis established that the CSN3 gene has no statistically significant influence on daily milk, fat and protein yield and SCC. Compared to other references this result can be explained by, e.g., small group of animals and different cattle breed. The BCO2 gene (genotypes AA and AG) shows a statistically significant relationship (P = 0.05) with daily milk, protein yield and SCC.     

A search for quantitative trait loci for milk production traits on chromosome 6 in Finnish Ayrshire cattle

Cattle chromosome 6 was scanned with 11 markers, ten microsatellites and the casein haplotype, to identify quantitative trait loci (QTLs) affecting the following milk production traits: milk yield, fat percentage, fat yield, protein percentage and protein yield. Twelve Finnish Ayrshire half-sib families with a total of 480 sons were genotyped and used in a grand-daughter design. Interval mapping was performed with a multiple-marker regression approach with a one-QTL and a two-QTL model, and the significance threshold values were determined empirically using a permutation test. Across-family analysis with the one-QTL model revealed an effect on protein percentage (P < 0.05) and on milk yield (P < 0.05). The analysis with the two-QTL model identified significant effects (P < 0.05) on protein percentage, milk yield, and fat yield. Comparing these two cases, the results suggest the existence of two QTLs on chromosome 6 with an effect on milk production traits. One of the QTLs was located around the casein genes. As the other QTL was similar in location and effect to a QTL found previously in Holstein-Friesians, an identity-by-descent approach could be applied to fine map this region.     

Genome‐wide association studies for milk production traits in Valle del Belice sheep using repeated measures

Genome‐wide association studies (GWASes) have become a powerful tool for identifying genomic regions associated with important traits in livestock. Milk production traits in dairy sheep are measured at different time points during their life span. Using phenotypic data generated from longitudinal traits could improve the power of association studies but until now have received less attention in GWASes as a methodology and has not been implemented. The aim of this study was to carry out a GWAS for milk production traits in Valle del Belice sheep using repeated measures. After quality control, 469 ewes and 37 228 SNPs were retained for the analysis, and phenotypic data included 5586 test‐day records for five milk production traits (milk yield, MY; fat yield and percentage, FY and F%; protein yield and percentage, PY and P%). Nine SNPs located within or close to known genes were found to be associated with milk production traits. In particular, rs398340969, associated with both milk yield and protein yield, is located within the DCPS gene. In addition, rs425417915 and rs417079368, both associated with both fat percentage and protein percentage, are located within the TTC7B gene and at 0.37 Mb within the SUCNR1 gene respectively. In summary, the use of repeated records was beneficial for mapping genomic regions affecting milk production traits in the Valle del Belice sheep.     

Single nucleotide polymorphisms in the corticotrophin-releasing hormone and pro-opiomelancortin genes are associated with growth and carcass yield in beef cattle

A single nucleotide polymorphism (SNP) in the corticotrophin-releasing hormone gene (CRH C22G) alters the fourth amino acid in the signal sequence from proline to arginine. Two other SNPs (CRH A145G and C240G) occur in the propeptide region at residue positions 45 and 77, respectively, that result in serine/asparagine and histidine/aspartic acid substitutions respectively. These SNPs, as well as SNPs in pro-opiomelancortin (POMC), leptin (LEP) and melanocortin-4 receptor (MC4R), were evaluated for associations with average daily gain, end-of-test rib-eye area, shipping weight and hot carcass weight in a group of 256 steers using a general linear model. The CRH C22G SNP was associated with end-of-test rib-eye area (P < 0.034) and hot carcass weight (P < 0.0015). The SNP in POMC was associated with shipping weight (P < 0.0078) and hot carcass weight (P = 0.006) while it approached significance for average daily gain (P < 0.07). The SNP in MC4R approached significance for hot carcass weight (P < 0.085) while no significance was observed between the leptin SNP and the above listed traits. Because both CRH and POMC regulate appetite, potential interaction effects between these two genes were assessed. The absence of an interaction effect between CRH and POMC with hot carcass weight suggests that these genes act independently to increase carcass yield. These gene effects used singularly or together could result in an economic benefit to the beef industry.     

Novel SNPs in the <Emphasis Type="Italic">ATP1B2</Emphasis> gene and their associations with milk yield,milk composition and heat-resistance traits in Chinese Holstein cows

Genetic association analysis was applied to examine the effect of the Na⁺/K⁺-ATPase beta 2 subunit (ATP1B2) gene on rectal temperature, milk traits, K⁺ levels and Na⁺/K⁺-ATPase (NKA) activity in the red blood cells of 1001 Chinese Holstein cows under normal and heat-stress conditions. We detected two novel single nucleotide polymorphisms, G2258A and C2833T, in the second and fourth introns, respectively, of ATP1B2. G2258A significantly affected milk fat content (P < 0.05) and 305-day milk yield (P < 0.01), but not milk protein content. C2833T significantly affected milk protein content (P < 0.01) and 305-day milk yield (P < 0.05), but not milk fat content. Calculated gene substitution effects suggested that A to G substitution in G2258A, and T to C substitution in C2833T, positively affected milk fat content, 305-day milk yield and somatic cell score, but negatively affected milk protein content. We also detected significant variation in milk fat content, milk protein content, 305-day milk yield and somatic cell scores (P < 0.05 or P < 0.01) among the nine ATP1B2 haplotypes. Under heat-stress, the C2833T polymorphism was significantly related to rectal temperature (P < 0.01), red blood cell K⁺ levels, NKA activity and milk yield (P < 0.05). Cows with the TT genotype showed the desirable characteristics of low rectal temperature and red blood cell K⁺, low decline rate in milk yield and red blood cell NKA activity. This study suggests that the ATP1B2 single nucleotide polymorphism C2833T is a genetic marker of heat-resistance traits in Chinese Holstein cows.     

Purging of inbreeding depression within the Irish Holstein-Friesian population

The objective of this study was to investigate whether inbreeding depression in milk production or fertility performance has been partially purged due to selection within the Irish Holstein-Friesian population. Classical, ancestral (i.e., the inbreeding of an individual''s ancestors according to two different formulae) and new inbreeding coefficients (i.e., part of the classical inbreeding coefficient that is not accounted for by ancestral inbreeding) were computed for all animals. The effect of each coefficient on 305-day milk, fat and protein yield as well as calving interval, age at first calving and survival to second lactation was investigated. Ancestral inbreeding accounting for all common ancestors in the pedigree had a positive effect on 305-day milk and protein yield, increasing yields by 4.85 kg and 0.12 kg, respectively. However, ancestral inbreeding accounting only for those common ancestors, which contribute to the classical inbreeding coefficient had a negative effect on all milk production traits decreasing 305-day milk, fat and protein yields by -8.85 kg, -0.53 kg and -0.33 kg, respectively. Classical, ancestral and new inbreeding generally had a detrimental effect on fertility and survival traits. From this study, it appears that Irish Holstein-Friesians have purged some of their genetic load for milk production through many years of selection based on production alone, while fertility, which has been less intensely selected for in the population demonstrates no evidence of purging.