Identification of single nucleotide polymorphisms in the ovine acetyl-CoA carboxylase-alpha gene

Acetyl-CoA carboxylase (ACACA) is the rate-limiting enzyme in the biosynthesis of palmitic acid and long-chain fatty acids. The dietary intake of palmitic acid, which represents approximately 22% of sheep milk fatty acids, increases low-density lipoprotein (LDL) levels and the risk of developing human cardiovascular diseases. Following the candidate gene approach for improving sheep milk composition, and as a first step in assessing the possible influence of the ovine ACACA gene on milk fatty acid composition and its potential use as an animal genetic model of human atherosclerosis disease, we present here an investigation into the genetic variability of the ovine ACACA gene. We sequenced approximately 6.6 kb of ovine ACACA cDNA, including most of the coding sequence of the protein (except 348 bp), in Spanish Churra sheep. A total of 22 synonymous single nucleotide polymorphisms (SNPs) were identified in the analysed sequence, which were genotyped in a set of eight sheep breeds with different productive aptitudes (dairy, meat and double aptitudes). Two of the SNPs identified, SNP03 (c.1450T>C) and SNP15 (c.5134T>C), which appeared to be breed-specific variations, were situated in the gene sequence coding for the biotin-carboxylase (BC) and acetyl-CoA carboxyltransferase (ACCT) domains of the protein, respectively. Particularly interesting is SNP12 (c.4579G>A), which displayed higher frequencies in the dairy-specialised breeds relative to the meat-producing breeds. Moreover, in the dairy breeds studied, the frequency of this SNP showed a positive correlation with the degree of dairy specialisation. A previously described alternative splicing site (Ser-1200) affecting an important regulatory region of the enzyme was observed in one of the Churra animals. Despite the high genetic variability observed in this gene, none of the identified SNPs caused an amino acid change. However, these polymorphisms could be in linkage disequilibrium with other mutations showing a functional effect on the ACACA enzyme. Hence, the characterisations of the allelic variants reported herein lay the groundwork for evaluation of the potential use of these SNPs as genetic markers of fat content and fatty acid composition in sheep dairy products.     

Identification of novel single nucleotide polymorphisms in the DGAT1 gene of buffaloes by PCR-SSCP

Diacylglycerol O-acyltransferase 1 (DGAT1) is a microsomal enzyme that catalyzes the final step of triglyceride synthesis. The DGAT1 gene is a strong functional candidate for determining milk fat content in cattle. In this work, we used PCR-SSCP (polymerase chain reaction-single-strand conformation polymorphism) and DNA sequencing to examine polymorphism in the region spanning exon 7 to exon 9 of the DGAT1 gene in Murrah and Pandharpuri buffaloes. Three alleles (A, B and C) and four novel single-nucleotide polymorphisms were identified in the buffalo DGAT1 gene. The frequencies of the alleles differed between the two buffalo breeds, with allele C being present in Murrah but not in Pandharpuri buffalo. The allele variation detected in this work may influence DGAT1 expression and function. The results described here could be useful in examining the association between the DGAT1 gene and milk traits in buffalo.     

Transcription of the {beta}-galactoside {alpha}2,6-sialyltransferase gene in B lymphocytes is directed by a separate and distinct promoter{dagger}

A single human gene, SIAT1, encodes the ß-galactoside     

Four novel single nucleotide polymorphisms within the promoter region of p53 gene and their associations with uterine leiomyoma

Dysregulated p53 expression has been implicated as a major contributor to numerous tumorigenesis. Single nucleotide polymorphisms (SNPs) within the functional consequence of the novel p53 promoter region remains obscure. Herein, we aimed to establish the extent of genetic variability within the promoter region of p53 gene as well as their association with leiomyoma susceptibility. Women were divided into two groups, leiomyoma (n = 160) and nonleiomyoma controls (n = 200). Total DNA was isolated from the peripheral blood of subjects. The DNA fragment containing p53 promoter regions (+64 approximately -404 bp) were obtained by amplification of polymerase chain reaction. The variations of DNA fragments were detected by DNA sequencing or restriction fragment length polymorphism (RFLP). Sequence alignment was used to identify sequence variations in p53 promoter regions. Genotypes were analyzed by method of RFLP. Genotypes/allelic frequencies in the leiomyoma and control groups were compared. A total of 15 sequence variations within p53 promoter region were identified, including -408 T/C, -382 A/G, -359 A/G, -325 T/C, -250 A/G, -216 T/C, -205 G/A, -198 G/A, -177 T/C, -103 A/G, -81 G/A, -71 G/A, -51 T/A, -33 A/G, and -17 T/C. Among these variations, four SNPs (-250 A/G, -216 T/C, -103 A/G, and -33 A/G) were established. Allele frequencies of -250*G/-216*C/-103*G/-33*G in the leiomyoma group and control group 6.9/5.0/5.9/3.8% and 3.8/1.8/2.3/4.0%, respectively. Two of them (-216*C and -103*G) are associated with higher leiomyoma susceptibility. We concluded that some sequence variations were observed within the promoter region of p53 gene. The SNPs of -216*C and -103*G among the identical sequence variations are associated with leiomyoma development.     

Single nucleotide polymorphisms, haplotypes and combined genotypes of LAP3 gene in bovine and their association with milk production traits

Leucine aminopeptidase 3 (LAP3) is an aminopeptidase which catalyses the removal of N-terminal amino acids and is involved in protein maturation and degradation. In this study, we detected the polymorphisms of LAP3 gene by polymerase chain reaction-single-strand conformation polymorphism (PCR-SSCP) and DNA sequencing methods in 916 individuals from three Chinese cattle breeds including Chinese Holstein, Luxi Yellow and Bohai Black. One novel single nucleotide polymorphism (SNP) (g.24564G>A ss196003366) and four previously deposited SNPs in the GenBank database (g.24794T>G, g.24803T>C, g.24846T>C, g.25415T>C) were detected. Three of the SNPs (g.24794T>G, g.24803T>C, g.24846T>C) were firstly found to be linked completely and regarded as a SNP g.24794M>N by PCR-SSCP and DNA sequencing in the tested breeds. The allelic frequencies and genetic indices of the SNPs were different in three Chinese cattle populations. The SNPs and their genetic effects on milk production traits in Chinese Holsteins were evaluated. Least squares analysis showed that cows with genotype MM had higher fat percentage and protein percentage than genotype NN (P<0.05); and the cows with g.25415T>C-CC genotype had higher protein rate than ones with TT genotype (P<0.05). In addition, eight haplotypes and 23 combined genotypes were identified based on the nine genotypes and the association between combined genotypes and milk production traits were analyzed. Statistic results showed that the cows with genotype combination MAT/MGC have higher protein and fat rate and lower SCS. Our finding demonstrated that the LAP3 gene possibly contributed to conducting association analysis and can be used as molecular marker in milk production traits and other performance for animal breeding.     

Identification of functional single nucleotide polymorphisms in the branchpoint site

Background

The human genome contains millions of single nucleotide polymorphisms (SNPs); many of these SNPs are intronic and have unknown functional significance. SNPs occurring within intron branchpoint sites, especially at the adenine (A), would presumably affect splicing; however, this has not been systematically studied. We employed a splicing prediction tool to identify human intron branchpoint sites and screened dbSNP for identifying SNPs located in the predicted sites to generate a genome-wide branchpoint site SNP database.

Results

We identified 600 SNPs located within branchpoint sites; among which, 216 showed a change in A. After scoring the SNPs by counting the As in the ±?10 nucleotide region, only four SNPs were identified without additional As (rs13296170, rs12769205, rs75434223, and rs67785924). Using minigene constructs, we examined the effects of these SNPs on splicing. The three SNPs (rs13296170, rs12769205, and rs75434223) with nucleotide substitution at the A position resulted in abnormal splicing (exon skipping and/or intron inclusion). However, rs67785924, a 5-bp deletion that abolished the branchpoint A nucleotide, exhibited normal RNA splicing pattern, presumably using two of the downstream As as alternative branchpoints. The influence of additional As on splicing was further confirmed by studying rs2733532, which contains three additional As in the ±?10 nucleotide region.

Conclusions

We generated a high-confidence genome-wide branchpoint site SNP database, experimentally verified the importance of A in the branchpoint, and suggested that other nearby As can protect branchpoint A substitution from abnormal splicing.

     

Identification of single nucleotide polymorphisms in the TNFRSF17 gene and their association with gastrointestinal disorders

TNFRSF17 is preferentially expressed in mature B lymphocytes, and may be important for the development of B cells. TNFRSF17 is selected as a candidate susceptibility gene to IBD pathogenesis by our cDNA microarray analysis, and we showed the specific expression of TNFRSF17 in resting and activated CD19⁺ cells obtained from human blood. We identified four SNPs (g-1729G>A, g.2295T>C, g.2445G>A and g.2493G>A) and one variation site (g.894delT) in the TNFRSF17 gene using direct sequencing analysis. In addition, the association of the genotype and allelic frequencies of these SNPs was studied in healthy controls and in patients with ulcerative colitis (UC) or irritable bowel syndrome (IBS). Although, the genotype and allelic frequencies of these SNPs, in the UC and IBS patients, were not significantly different from those in the healthy controls, the distribution of the AAG, GGA, AGG and AAA haplotypes, of the SNPs (g.-1729G>A, g.2445G> A and g.2493G>A) associated with the TNFRSF17 gene, in the UC patients, were notably different from those of the healthy controls (P = 0.002, 0.002, 4.7E-4 and 3.3E-6, respectively). Moreover, the frequencies of the AAG, AGG, GAG and GAA haplotypes were significantly different in the IBS patients compared to the healthy controls (P = 4.2E-5, 4.4E-17, 1.8E-22 and 1.6E-10, respectively). These results suggest that the haplotypes of the TNFRSF17 polymorphisms might be associated with UC and IBS susceptibility.     

A novel polymorphism of the lactoferrin gene and its association with milk composition and body traits in dairy goats

Milk composition and body measurement traits, influenced by genes and environmental factors, play important roles in value assessments of efficiency and productivity in dairy goats. Lactoferrin (LF), involved in the efficient expression of protein in milk, is also an anabolic factor in skeletal tissue and a potent osteoblast survival factor. Therefore, it is an important candidate gene for milk composition and body measurement trait selection in marker-assisted selection. We employed PCR-SSCP and DNA sequencing to screen the genetic variations of the LF gene in 549 Chinese dairy goats. A novel single-nucleotide polymorphism (SNP) (G198A in exon II) of the LF gene was detected. The frequencies of the AA genotype were 0.0285 and 0.0261 in GZ and SN populations, respectively. Both populations were found to have low levels of polymorphism and were in Hardy-Weinberg disequilibrium (P < 0.05). We found significant (P < 0.05) associations of the SNP marker with milk protein and acidity in the total population; animals with the AA genotype had higher mean values for milk protein than those with the GA genotype. Animals with genotype AA had higher mean values for withers height than those with genotype GG (P < 0.05). We concluded that this SNP of the LF gene has potential as a genetic marker for milk composition and body traits in dairy goat breeding.     

Identification of novel single nucleotide polymorphisms in inflammatory genes as risk factors associated with trachomatous trichiasis

Background

Trachoma is the leading preventable cause of global blindness. A balanced Th1/Th2/Th3 immune response is critical for resolving Chlamydia trachomatis infection, the primary cause of trachoma. Despite control programs that include mass antibiotic treatment, reinfection and recurrence of trachoma are common after treatment cessation. Furthermore, a subset of infected individuals develop inflammation and are at greater risk for developing the severe sequela of trachoma known as trachomatous trichiasis (TT). While there are a number of environmental and behavioral risk factors for trachoma, genetic factors that influence inflammation and TT risk remain ill defined.

Methodology/Findings

We identified single nucleotide polymorphisms (SNP) in 36 candidate inflammatory genes and interactions among these SNPs that likely play a role in the overall risk for TT. We conducted a case control study of 538 individuals of Tharu ethnicity residing in an endemic region of Nepal. Trachoma was graded according to World Health Organization guidelines. A linear array was used to genotype 51 biallelic SNPs in the 36 genes. Analyses were performed using logic regression modeling, which controls for multiple comparisons. We present, to our knowledge, the first significant association of TNFA (-308GA), LTA (252A), VCAM1 (-1594TC), and IL9 (T113M) polymorphisms, synergistic SNPs and risk of TT. TT risk decreased 5 times [odds ratio = 0.2 (95% confidence interval 0.11.–0.33), p = 0.001] with the combination of TNFA (-308A), LTA (252A), VCAM1 (-1594C), SCYA 11 (23T) minor allele, and the combination of TNFA (-308A), IL9 (113M), IL1B (5′UTR-T), and VCAM1 (-1594C). However, TT risk increased 13.5 times [odds ratio = 13.5 (95% confidence interval 3.3–22), p = 0.001] with the combination of TNFA (-308G), VDR (intron G), IL4R (50V), and ICAM1 (56M) minor allele.

Conclusions

Evaluating genetic risk factors for trachoma will advance our understanding of disease pathogenesis, and should be considered in the context of designing global control programs.     

Correlation analysis between three novel SNPs of the Src gene in bovine and milk production traits

As an essential signaling modulator, Src gene appears to be necessary for increased expression of the prolactin receptor, normal downstream signaling, and alveolar cell organization. In this study, we detected the polymorphism of Src gene by polymerase chain reaction-restriction fragment length polymorphism assay (PCR-RFLP) and DNA sequencing methods in 985 individuals from three Chinese cattle breeds. Three novel single nucleotide polymorphisms (SNPs) (g.14062C>T ss161151834, g.17302G>A ss161151835, g.18107T>C ss161151836) were detected. Least squares analysis showed that cows with g.14062C>T-CC genotypes and g.18107T>C-TT genotypes had the highest protein rate, while the cows with g.17302G>A-GG genotype had higher 305 d milk yield (p < 0.05), fat yield (p < 0.01) and protein yield (p < 0.01) than the ones with genotypes g.17302G>A-GA. These results revealed the statistical significant effects of three SNPs of the Src gene on the milk production traits in Chinese Holstein. In addition, based on the nine genotypes constructed from 27 combined haplotypes, the association analysis between combined haplotypes and milk production traits was carried out. Statistic results showed that the cows with combined haplotypes H2H4(CCGATT) had the highest fat rate and the highest protein rate and the cows with combined haplotypes H1H8(TCGATC) and H3H7(TCGGCC) had greater 305 d mild yield than H1H2(CCAATC)(P < 0.05). Our finding demonstrated that the Src gene possibly contributed to conducting association analysis and can be recognized as genetic marker in milk production traits and other performance for animal breeding and genetics.     

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.     

Identification of genome-wide single nucleotide polymorphisms in allopolyploid crop Brassica napus

Background

Single nucleotide polymorphisms (SNPs) are the most common type of genetic variation. Identification of large numbers of SNPs is helpful for genetic diversity analysis, map-based cloning, genome-wide association analyses and marker-assisted breeding. Recently, identifying genome-wide SNPs in allopolyploid Brassica napus (rapeseed, canola) by resequencing many accessions has become feasible, due to the availability of reference genomes of Brassica rapa (2n = AA) and Brassica oleracea (2n = CC), which are the progenitor species of B. napus (2n = AACC). Although many SNPs in B. napus have been released, the objective in the present study was to produce a larger, more informative set of SNPs for large-scale and efficient genotypic screening. Hence, short-read genome sequencing was conducted on ten elite B. napus accessions for SNP discovery. A subset of these SNPs was randomly selected for sequence validation and for genotyping efficiency testing using the Illumina GoldenGate assay.

Results

A total of 892,536 bi-allelic SNPs were discovered throughout the B. napus genome. A total of 36,458 putative amino acid variants were located in 13,552 protein-coding genes, which were predicted to have enriched binding and catalytic activity as a result. Using the GoldenGate genotyping platform, 94 of 96 SNPs sampled could effectively distinguish genotypes of 130 lines from two mapping populations, with an average call rate of 92%.

Conclusions

Despite the polyploid nature of B. napus, nearly 900,000 simple SNPs were identified by whole genome resequencing. These SNPs were predicted to be effective in high-throughput genotyping assays (51% polymorphic SNPs, 92% average call rate using the GoldenGate assay, leading to an estimated >450 000 useful SNPs). Hence, the development of a much larger genotyping array of informative SNPs is feasible. SNPs identified in this study to cause non-synonymous amino acid substitutions can also be utilized to directly identify causal genes in association studies.