Association between polymorphisms in the SLC27A1 gene and milk production traits in Chinese Holstein cattle

We assessed SLC27A1, a candidate gene for milk production traits in Chinese Holstein cattle. DNA was extracted from the blood of 48 top Chinese Holstein Cattle selected according to phenotypic character and mixed into DNA pool for SNP detection. We tested blood samples of these cattle for SNPs in exon 3 and the 3'-flanking region of the SLC27A1 gene by using polymerase chain reaction-single-stranded conformation polymorphism (PCR-SSCP) and DNA sequencing. We found 2 polymorphic sites: 112T>C, a synonymous mutation, in exon 3 (SNP(1)), and 64G>A in the 3'-UTR (SNP(2)). We also determined the genotypes of 330 Chinese Holstein cattle by using PCR-restriction fragment length polymorphism (RFLP). We found 3 genotypes each at SNP(1) (TT, TC, and CC) and SNP(2) (GG, GA, and AA). The association among the different genotypes at these 2 sites and milk production traits was analyzed using a least-squares procedure. The results showed that cows with genotype CC had higher milk yields than those with genotype TC (0.01 < p < 0.05). No significant difference was detected among the 3 SNP(2) genotypes in terms of milk production traits. Our results provide evidence that the C allele have potential effects on milk yield trait.     

Genome‐wide association analysis and gene set enrichment analysis with SNP data identify genes associated with 305‐day milk yield in Holstein dairy cows

Milk production traits, such as 305‐day milk yield (305MY), have been under direct selection to improve production in dairy cows. Over the past 50 years, the average milk yield has nearly doubled, and over 56% of the increase is attributable to genetic improvement. As such, additional improvements in milk yield are still possible as new loci are identified. The objectives of this study were to detect SNPs and gene sets associated with 305MY in order to identify new candidate genes contributing to variation in milk production. A population of 781 primiparous Holstein cows from six central Washington dairies with records of 305MY and energy corrected milk were used to perform a genome‐wide association analysis (GWAA) using the Illumina BovineHD BeadChip (777 962 SNPs) to identify QTL associated with 305MY (P < 1.0 × 10^?5). A gene set enrichment analysis with SNP data (GSEA‐SNP) was performed to identify gene sets (normalized enrichment score > 3.0) and leading edge genes (LEGs) influencing 305MY. The GWAA identified three QTL comprising 34 SNPs and 30 positional candidate genes. In the GSEA‐SNP, five gene sets with 58 unique and 24 shared LEGs contributed to 305MY. Identification of QTL and LEGs associated with 305MY can provide additional targets for genomic selection to continue to improve 305MY in dairy cattle.     

Single nucleotide polymorphism (SNP) discovery in porcine expressed genes

High-throughput genotyping of swine populations is a potentially efficient method for establishing animal lineage and identification of loci important to animal health and efficient pork production. Markers were developed based upon single nucleotide polymorphisms (SNPs), which are abundant and amenable to automated genotyping platforms. The focus of this research was SNP discovery in expressed porcine genes providing markers to develop the porcine/human comparative map. Locus specific amplification (LSA) and comparative sequencing were used to generate PCR products and allelic information from parents of a swine reference family. Discovery of 1650 SNPs in 403 amplicons and strategies for optimizing LSA-based SNP discovery using alternative methods of PCR primer design, data analysis, and germplasm selection that are applicable to other populations and species are described. These data were the first large-scale assessment of frequency and distribution of porcine SNPs.     

Novel SNPs of the Bovine PRLR Gene Associated with Milk Production Traits

The single nucleotide polymorphisms (SNPs) within exon 10 of the prolactin receptor gene (PRLR) were detected in Chinese Holstein cows using polymerase chain reaction-single-strand conformation polymorphism (PCR-SSCP) and DNA sequencing methods, and their genetic effects on milk production traits were evaluated in this study. Two newly detected SNPs (g.9206G→A and g.9681C→T) caused amino acid variations E378K and A536V, respectively, which were then preliminarily predicted at the topological level. Statistical results indicated that the two SNPs were significantly associated with milk yields, and cows with the combined genotype GGCC showed superior milk performance. A putative phosphorylation site was identified at residue 378K ([ST]-×-[RK]), which offers a partial explanation for the associations. These results suggest that the two novel SNPs within exon 10 of the PRLR gene associated with milk production traits are useful genetic markers in a selection program for Holstein dairy cattle.     

MilkProtChip--a microarray of SNPs in candidate genes associated with milk protein biosynthesis--development and validation

MilkProtChip is an oligonucleotide microarray based on the arrayed primer extension (APEX) technique, allowing genotyping of single nucleotide polymorphisms (SNPs) in genes of interest for bovine milk protein biosynthesis. APEX consists of a sequencing reaction primed by an oligonucleotide anchored with its 5'end to a glass slide and terminating one nucleotide before the polymorphic site. The extension with one fluorescently labeled dideoxy nucleotide complementary to the template reveals the polymorphism. A total of 75 SNPs were selected among those associated directly or potentially with milk protein content. Among the 75 SNPs, 4 did not produce a positive signal. Most of the remaining SNPs produced a signal for both strands, except for 4 (one strand). In the validation step, 12 Polish Holstein bulls, 1 Polish Red bull, 1 bison (Bison bonasus), 11 Jersey cows and 25 Polish Holstein cows were screened to validate SNPs. Among the 71 selected SNPs--26 were found monoallelic, the rest showing at least two genotypes for the entire population under study. All the animals were earlier genotyped for 2-5 SNPs by PCR-RFLP and PCR sequencing and all showed complete concordance with APEX genotyping. APEX reactions showed relatively high signal frequencies: more than 0.9, 0.9-0.8 and below 0.8, for 65, 4 and 2 DNA samples, respectively. The primary application of the MilkProtChip is the simultaneous genotyping of dozens of SNPs to reveal and clarify the genetic background of milk protein biosynthesis. The chip may possibly be used for dairy cattle identification and paternity analysis, evolutionary studies, the evaluation of genetic distances between wild and domestic cattle breeds and the domestication history of bovine species.     

Associations Between Milk Performance Traits in Holstein Cows and 16 Candidate SNPs Identified by Arrayed Primer Extension (APEX) Microarray

An oligonucleotide microarray—which allows for parallel genotyping of many SNPs in genes involved in cow milk protein biosynthesis—was used to identify which of the 16 candidate SNPs are associated with milk performance traits in Holstein cows. Four hundred cows were genotyped by the developed and validated microarray. Significant associations were found between four single SNPs, namely DGAT1 (acyloCoA:diacylglycerol acyltransferase), LTF (lactoferrin), CSN3 (kappa-casein), and GHR (growth hormone receptor) and with fat and protein yield and percentage. Many significant associations between combined genotypes (two SNPs) and milk performance traits were found. The associations between the combined genotypes DGAT1/LTF and DGAT1/LEPTIN analyzed traits are presented as examples.

The microarray based on APEX (Arrayed Primer Extension) is a fast and reliable method for multiple SNP analysis of potential application in marker-assisted selection. After further development, the chip may prospectively be used for dairy cattle paternity analysis and evolutionary studies.     

Associations between milk performance traits in Holstein cows and 16 candidate SNPs identified by arrayed primer extension (APEX) microarray

An oligonucleotide microarray-which allows for parallel genotyping of many SNPs in genes involved in cow milk protein biosynthesis-was used to identify which of the 16 candidate SNPs are associated with milk performance traits in Holstein cows. Four hundred cows were genotyped by the developed and validated microarray. Significant associations were found between four single SNPs, namely DGAT1 (acyloCoA:diacylglycerol acyltransferase), LTF (lactoferrin), CSN3 (kappa-casein), and GHR (growth hormone receptor) and with fat and protein yield and percentage. Many significant associations between combined genotypes (two SNPs) and milk performance traits were found. The associations between the combined genotypes DGAT1/LTF and DGAT1/LEPTIN analyzed traits are presented as examples. The microarray based on APEX (Arrayed Primer Extension) is a fast and reliable method for multiple SNP analysis of potential application in marker-assisted selection. After further development, the chip may prospectively be used for dairy cattle paternity analysis and evolutionary studies.