GnRHR gene polymorphisms and their effects on reproductive performance in Chinese goats

In this study, polymorphisms in the goat GnRHR gene exon 1 were detected by PCR-SSCP and DNA sequencing methods in 786 individuals from two different goat breeds. Two haplotypes (A and B), two observed genotypes (AA and AB), and two single nucleotide polymorphisms (SNPs) were detected, which resulted in five amino acid substitutions. The frequencies of haplotypes A and B in the two goat breeds were 0.78–0.83 and 0.17–0.22, respectively. The SNP locus was in Hardy–Weinberg disequilibrium in the two goat breeds (P < 0.05). Polymorphisms of the GnRHR gene were shown to be associated with litter size in the two goat breeds. The SNPs in the goat GnRHR gene had significant effects on litter size (P < 0.05). Therefore, these results suggest that the GnRHR gene is a strong candidate gene that affects litter size in goat.     

Inference of population structure of purebred dairy and beef cattle using high-density genotype data

Information on the genetic diversity and population structure of cattle breeds is useful when deciding the most optimal, for example, crossbreeding strategies to improve phenotypic performance by exploiting heterosis. The present study investigated the genetic diversity and population structure of the most prominent dairy and beef breeds used in Ireland. Illumina high-density genotypes (777 962 single nucleotide polymorphisms; SNPs) were available on 4623 purebred bulls from nine breeds; Angus (n=430), Belgian Blue (n=298), Charolais (n=893), Hereford (n=327), Holstein-Friesian (n=1261), Jersey (n=75), Limousin (n=943), Montbéliarde (n=33) and Simmental (n=363). Principal component analysis revealed that Angus, Hereford, and Jersey formed non-overlapping clusters, representing distinct populations. In contrast, overlapping clusters suggested geographical proximity of origin and genetic similarity between Limousin, Simmental and Montbéliarde and to a lesser extent between Holstein, Friesian and Belgian Blue. The observed SNP heterozygosity averaged across all loci was 0.379. The Belgian Blue had the greatest mean observed heterozygosity (H_O=0.389) among individuals within breed while the Holstein-Friesian and Jersey populations had the lowest mean heterozygosity (H_O=0.370 and 0.376, respectively). The correlation between the genomic-based and pedigree-based inbreeding coefficients was weak (r=0.171; P<0.001). Mean genomic inbreeding estimates were greatest for Jersey (0.173) and least for Hereford (0.051). The pair-wise breed fixation index (F_st) ranged from 0.049 (Limousin and Charolais) to 0.165 (Hereford and Jersey). In conclusion, substantial genetic variation exists among breeds commercially used in Ireland. Thus custom-mating strategies would be successful in maximising the exploitation of heterosis in crossbreeding strategies.     

Polymorphisms of caprine <Emphasis Type="Italic">POU1F1</Emphasis> gene and their association with litter size in Jining Grey goats

Seven pairs of primers were designed to amplify 5′ promoter region, six exons and partial introns and to detect the polymorphisms of POU1F1 gene in five goat breeds with different prolificacy. The results showed that six mutations were identified in caprine POU1F1 gene including C256T in exon 3, C53T and T123G in intron 3, and G682T (A228S), T723G and C837T in exon 6. The former four mutations were novel SNPs in goat POU1F1 gene. The 53 and 123 loci were in complete linkage disequilibrium in five caprine breeds. Regarding the 256 locus, the Jining Grey goat does with genotype CT had 0.66 kids more than those with genotype CC (P < 0.05), while does with genotype GT had 0.63 (P < 0.05) kids more than those with genotype GG at the 682 locus. The present study preliminarily showed an association between allele T at the 256 and 682 loci of POU1F1 gene and high litter size in Jining Grey goats. Totally 16 haplotypes and 50 genotypes were identified at the above six loci in POU1F1 gene of five goat breeds. Three common haplotypes (hap2, hap3 and hap4) were identified in five goat breeds joined. Four specific haplotypes (hap7, hap9, hap11 and hap13) were detected in Jining Grey goats. The predominant haplotype was hap1 (35.29% and 48.25%) in both Jining Grey and Guizhou White goats, while hap4 (50%) in Boer goats, and hap2 (42.86% and 38.75%) in both Wendeng Dairy and Liaoning Cashmere goats. The most frequent genotypes at six loci in the above five goat breeds were hap1/hap2 (14.38%) and hap1/hap4 (14.38%), hap1/hap2 (38.60%), hap4/hap4 (40.91%), hap2/hap4 (26.53%), hap2/hap5 (20.00%), respectively. The Jining Grey goat does with nine genotypes analyzed of POU1F1 gene showed no obvious difference in litter size.     

Distribution and linkage disequilibrium analysis of polymorphisms of <Emphasis Type="Italic">GH1</Emphasis> gene in different populations of pigs associated with body size

Growth hormone (GH) has been considered as a candidate gene for growth and body size in pigs. In this study, polymorphisms of the GH1 gene were evaluated for associations with body size traits in 190 pig individuals. Seventeen single-nucleotide polymorphisms (SNPs) were identified in GH1 gene of the large pig breeds and miniature pig breeds using direct sequencing and genotyped by allele-specific PCR approach. Notably, six (g.237A>G, g.283T>C, g.309A>G, g.318A>G, g.540A>G and g.544A>G) of them were significantly associated with body size, of which three loci (g.283T>C, g.309A>G, g.318A>G) located in the signal-peptide coding region of GH1 gene compose a CGG haplotype for large pigs and TAA haplotype for miniature pigs (P< 0.001), two loci (g.540A>G and g.544A>G) located in the second intron of GH1 gene compose a GG haplotype for large pigs and AA haplotype for miniature pigs (P< 0.001). Our results demonstrate that these SNPs in GH1 gene are associated with the body size of pigs providing genetic basis for pig breeding with the improved economic benefits.     

Analysis of the non‐recombining Y chromosome defines polymorphisms in domestic pig breeds: ancestral bases identified by comparative sequencing

Sequences from 20 amplicons representing nine different loci and 11369bp from the short arm of the pig Y chromosome were compared using pools of DNA from different European and Chinese breeds. A total of 33 polymorphic sites were identified, including five indels and 28 single nucleotide polymorphisms (SNPs). Three high frequency SNPs within the coding regions of SRY were further analysed across 889 males representing 25 European and 25 Asian breeds or Lines, plus a European Line of Meishan. Two haplotypes seen to be associated with ‘European’ or ‘Chinese’ origin in the initial SNP discovery phase were found to be the most common in their respective groups of breeds in a more detailed genotyping study. Two further SRY haplotypes are relatively rare. One was found exclusively within Tamworth, at low frequency in Retinto, and in three Chinese breeds (Huai, Sahwutou and Xiaomeishan). The other uncommon haplotype is found exclusively in Bamajiang, two further Chinese breeds (Hangjiang Black and Longling) and two European rare breeds (Mangalica and Linderödssvin), but appears based on comparison with other suids to represent an ancestral sequence.     

On the Dispersal of Bottle Gourd [<Emphasis Type="Italic">Lagenaria siceraria</Emphasis> (Mol.) Standl.] Out of Africa: a Contribution from the Analysis of Nuclear Ribosomal DNA Haplotypes,Divergent Paralogs and Variants of 5.8S Protein Sequences

Bottle gourd (Lagenaria siceraria), a multipurpose crop, is among the first domesticates of humans. This study analyses nuclear ribosomal DNA (nrDNA) of the two cultivated subspecies to improve our understanding on the African origin and the dispersal to Asia. A total of 146 nrDNA sequences representing 79 individuals from African cultivars and 67 individuals from Asian cultivars were compared; the resulting nrDNA sequences were composed of 35 and 16 haplotypes specific to Africa and Asia, respectively, and two additional haplotypes shared by both continents. When all the rDNA haplotypes were bulked, the genetic differentiation (F _ST ) was significant between the subspecies (P?<?0.001), within Africa (P?<?0.001) and within Asia (P?<?0.05), and the nucleotide diversity was 2.5-fold higher in Africa. Sorting the haplotypes by classes of paralogs revealed more classes in Africa, and in classes where African and Asian cultivars were represented, the diversity was higher in Africa, in general. The 5.8S-coding regions showed two to four amino acid differences resulting to nine protein sequence variants, one of which encompassed all the Asian cultivars. The nucleotide diversity at that shared variant was 1.43-fold higher in Africa than in Asia. Analyses of phylogenetic networks revealed major shared haplotypes containing 23.91 % of the cultivars and having founder locations. We suggest that African cultivars reached Asia. The study tags for the first time nrDNA haplotypes capable of discriminating between and within the subspecies. Thirty single nucleotide polymorphisms (SNPs) and five insertion-deletions (Indels) derived from the haplotypes and registered in GenBank are provided.     

Use of breed-specific single nucleotide polymorphisms to discriminate between Holstein and Jersey dairy cattle breeds

Emphasis on livestock genetic improvement in the past decades has led to commercialization of different breeds of livestock species. Breed validation has become increasingly important to assess the safety and authenticity of livestock products in global and domestic markets. The objective of this study was to evaluate the use of breed-specific single nucleotide polymorphisms (SNPs) in discriminating between Holstein and Jersey dairy cattle breeds. Two separate resource populations were used, including a reference population consisting of 498 Holstein and 83 Jersey bull DNA samples, and a validation population consisting of 260 Holstein and 34 Jersey cow DNA samples. Five Jersey-specific and four Holstein-specific SNPs were identified and genotyped on the reference and validation resource populations. The reference population was used to validate the breed-specific SNPs used in this study and to predict the allocation efficiencies and misclassification probabilities of different combinations of SNPs. Individual animals in the validation population were allocated to either breed based on the presence of breed-specific alleles. It was found that any combination of three breed-specific SNPs had, on average, high breed allocation efficiency of >95% and low misclassification probability of <5%. In conclusion, this study demonstrates a simple, yet effective, method of using breed-specific SNPs to discriminate between Jersey and Holstein cattle breeds.     

Evaluation of microsatellite markers in association studies: a search for an immune-related susceptibility gene in sarcoidosis

Association studies using linkage disequilibrium (LD) between candidate loci and nearby markers have been proposed to identify susceptibility genes for complex diseases. We analyzed polymorphisms of microsatellites (MSs) and LD patterns of the regions in which candidate genes related to the Th1 immune response have been annotated and attempted to identify a susceptibility gene for sarcoidosis in a marker-based association study. Nineteen MSs were identified in six Th1-related genes (IFNGR1, IFNGR2, IL12RB1, IL12RB2, STAT1 and STAT4) and then eight were further characterized as useful polymorphic markers. Most of these MSs showed LD with single nucleotide polymorphisms (SNPs) on both 5 and 3 ends of these candidate genes, in which r² values between at least one of the MS marker alleles and the SNPs were higher than 0.1. A significant association with one MS allele near STAT4 was shown and a cluster of SNPs in LD with the MS marker was associated with sarcoidosis. These results suggest that association studies using not only SNPs but also multi-allelic MS within or near candidate loci would be useful markers to search for a disease susceptibility gene, especially in populations with unknown LD structure.     

Improved precision of QTL mapping using a nonlinear Bayesian method in a multi-breed population leads to greater accuracy of across-breed genomic predictions

Background

Genomic selection is increasingly widely practised, particularly in dairy cattle. However, the accuracy of current predictions using GBLUP (genomic best linear unbiased prediction) decays rapidly across generations, and also as selection candidates become less related to the reference population. This is likely caused by the effects of causative mutations being dispersed across many SNPs (single nucleotide polymorphisms) that span large genomic intervals. In this paper, we hypothesise that the use of a nonlinear method (BayesR), combined with a multi-breed (Holstein/Jersey) reference population will map causative mutations with more precision than GBLUP and this, in turn, will increase the accuracy of genomic predictions for selection candidates that are less related to the reference animals.

Results

BayesR improved the across-breed prediction accuracy for Australian Red dairy cattle for five milk yield and composition traits by an average of 7% over the GBLUP approach (Australian Red animals were not included in the reference population). Using the multi-breed reference population with BayesR improved accuracy of prediction in Australian Red cattle by 2 – 5% compared to using BayesR with a single breed reference population. Inclusion of 8478 Holstein and 3917 Jersey cows in the reference population improved accuracy of predictions for these breeds by 4 and 5%. However, predictions for Holstein and Jersey cattle were similar using within-breed and multi-breed reference populations. We propose that the improvement in across-breed prediction achieved by BayesR with the multi-breed reference population is due to more precise mapping of quantitative trait loci (QTL), which was demonstrated for several regions. New candidate genes with functional links to milk synthesis were identified using differential gene expression in the mammary gland.

Conclusions

QTL detection and genomic prediction are usually considered independently but persistence of genomic prediction accuracies across breeds requires accurate estimation of QTL effects. We show that accuracy of across-breed genomic predictions was higher with BayesR than with GBLUP and that BayesR mapped QTL more precisely. Further improvements of across-breed accuracy of genomic predictions and QTL mapping could be achieved by increasing the size of the reference population, including more breeds, and possibly by exploiting pleiotropic effects to improve mapping efficiency for QTL with small effects.

Electronic supplementary material

The online version of this article (doi:10.1186/s12711-014-0074-4) contains supplementary material, which is available to authorized users.     

Associations between newly discovered polymorphisms in the Bos taurusgrowth hormone receptor gene and performance traits in Holstein–Friesian dairy cattle

Variations in the growth hormone receptor (GHR) gene sequence are associated with performance traits in cattle. For example, the single nucleotide polymorphism (SNP) F279Y in transmembrane exon 8 has a strong association with milk yield. In this study, 32 previously unreported, putative novel SNPs (31 in the 5′ non‐coding region) were identified by resequencing ～19 kb of the GHR gene in genomic DNA from 22 cattle of multiple breeds. A population of 848 Holstein–Friesian AI sires was subsequently genotyped for the 32 putative novel SNPs and seven published SNPs (including F279Y, one in exon 1A promoter and five in exon 10). Associations between each segregating SNP and genetic merit for performance were quantified in the 848 Holstein–Friesians using weighted animal linear mixed models. Six of the published SNPs and seven of the novel SNPs were associated with at least one of the traits – milk yield, fat yield, protein yield, fat percentage, protein percentage, somatic cell score, calving interval, survival and growth and size traits. Even when the allelic substitution effect (P < 0.001) of F279Y was accounted for, the allelic substitution effect of one of the novel SNPs (GHR4.2) in the 5′ non‐coding region of GHR was associated with a lactation milk yield of 37.46 kg (P < 0.001). GHR4.2 and F279Y were not in linkage disequilibrium (r² = 0.00, D’ = 0.04) in the 848 Holstein–Friesians, indicating that their association with milk yield was independent.     

Identification of four SNPs and association analysis with meat quality traits in the porcine <Emphasis Type="Italic">Pitx2c</Emphasis> gene

The association of the porcine Pitx2c gene with meat quality traits was investigated in the present study. A total of eight single nucleotide polymorphisms (SNPs) were found. Allele frequencies of four SNPs were further detected in four commercial breeds and eight Chinese indigenous breeds. Single SNP and meat quality associations were analyzed in a Yorkshire×Meishan F₂ population. The SNPs c.474C>T (P<0.01) and c.636C>T (P<0.05) showed a significant association with meat color (MCV1). The SNPs c.*37G>A and c.*47G>A were significantly associated with drip loss rate (DLR), water holding capacity (WHC) and meat color value (MCV1) consistently (P<0.05). Linkage disequilibrium (LD) analysis revealed that the adjacent SNPs were in LD. Two major haplotypes were identified, and association analysis between haplotype combinations and meat quality indicated that the presence of two copies of haplotype 1 -CCGG- may improve meat quality.     

Establishment of molecular markers and linkage groups in two F2 populations of Upland cotton

Two F₂ populations of cotton (Gossypium hirsutum L.) from the crosses of HS46 x MARCABUCAG8US-1-88 (MAR) and HS46 x Pee Dee 5363 (PD5363) were characterized for restriction fragment length polymorphisms (RFLPs) using DNA probes. Seventy-three probe/enzyme combinations were used in the HS46 x MAR population analysis, which resulted in 42 informative polymorphic fragments. These 42 moleclar markers represented 26 polymorphic loci, which consisted of 15 codominant and 11 dominant (+/-) genotypes. Chi-square analyses of these loci fit expected genotypic ratios of 121 and 31, respectively An analysis of these loci with the MAPMAKER program resulted in the establishment of four linkage groups A, B, C, and D with 4,2,2, and 2 loci, respectively, as well as 16 unlinked loci. Six probe-enzyme combinations were assayed on the HS46 x PD5363 population, which resulted in 11 informative polymorphic fragments. These 11 fragments represented 6 polymorphic loci, 1 dominant (+/-) and 5 codominant genotypes. The MAPMAKER analysis of these loci yielded 2 linked loci. Thus, a total of 53 polymorphic fragments and 32 polymorphic loci, representing five linkage groups, were identified among the two families.Contribution of the USDA-ARS in cooperation with the Miss Agric For Exp Stn.     

Discovery of single nucleotide polymorphisms in Lycopersicon esculentum by computer aided analysis of expressed sequence tags

Single nucleotide polymorphisms (SNPs) are useful for characterizing allelic variation, for genome-wide mapping, and as a tool for marker-assisted selection. Discovery of SNPs through de novo sequencing is inefficient within cultivated tomato (Lycopersicon esculentum Mill.) because the polymorphism rate is more than ten-fold lower than the sequencing error rate. The availability of expressed sequence tag (EST) data has made it feasible to discover putative SNPs in silico prior to experimental verification. By exploiting redundancy among EST data available for different varieties among 148,373 tomato ESTs, we have identified candidate SNPs for use within cultivated germplasm pools. 1,245 contigs having three EST sequences of Rio Grande and three EST sequences of TA496 were used for SNP discovery. We detected 1 SNP for every 8,500 bases analyzed, with 101 candidate SNPs in 44 genes identified. Sixty-six SNPs could be recognized by restriction enzymes, and subsequent experimental verification using restriction digestion or CEL I digestion confirmed 83% of the putative polymorphisms tested. SNPs between TA496 and Rio Grande have a high probability (53%) of detecting polymorphisms between other L. esculentum varieties. Twenty-six SNPs in 18 unigenes were mapped to specific chromosomes. Two SNPs, LEOH23 and LEOH37, were shown to be linked to quantitative trait loci contributing to fruit color within elite breeding populations. These results suggest that the growing databases of DNA sequence will yield information that facilitates improvement within the germplasm pools that have contributed to productive modern varieties.     

DNA polymorphisms of the prion doppel gene region in four different German cattle breeds and cows tested positive for bovine spongiform encephalopathy

Polymorphisms of the prion protein gene PRNP have been shown to influence the susceptibility/resistance to prion infections in human and sheep. In addition, the T174M polymorphism within the flanking prion doppel gene (PRND) was thought to be involved in susceptibility to sporadic Creutzfeldt-Jacob disease. To study a possible influence of DNA polymorphisms of the bovine PRND gene in bovine spongiform encephalopathy (BSE), previously identified and newly isolated DNA polymorphisms were genotyped in all available German cattle that tested positive for BSE. Genotypes and calculated haplotypes were compared with breeding bulls serving as controls. Analysis of the four major breeds Schwarzbunt (Holstein Friesian), Rotbunt (Holstein Red), Fleckvieh (Simmental), and Braunvieh (Swiss Brown) resulted in the isolation of the previously known polymorphisms R50H and R132Q and two novel synonymous single nucleotide polymorphisms (SNPs) C4820T and A5063T. Comparative genotype and haplotype analysis of BSE and control animals revealed a significantly different distribution of polymorphisms C4815T and R132Q in Fleckvieh animals but not in the other breeds tested. No association to BSE susceptibility was detectable for polymorphisms R50H and A5063T.     

Genetic heterogeneity at the bovine KIT gene in cattle breeds carrying different putative alleles at the spotting locus

According to classical genetic studies, piebaldism in cattle is largely influenced by the allelic series at the spotting locus (S), which includes the S^H (Hereford pattern), S⁺ (non‐spotted) and s (spotted) alleles. The S locus was mapped on bovine chromosome 6 in the region containing the KIT gene. We investigated the KIT gene, analysing its variability and haplotype distribution in cattle of three breeds (Angus, Hereford and Holstein) with different putative alleles (S⁺, S^H and s respectively) at the S locus. Resequencing of a whole of 0.485 Mb revealed 111 polymorphisms. The global nucleotide diversity was 0.087%. Tajima’s D‐values were negative for all breeds, indicating putative directional selection. Of the 28 inferred haplotypes, only five were observed in the Hereford breed, in which one was the most frequent. Coalescent simulation showed that it is highly unlikely (P < 10E‐6) to obtain this low number of haplotypes conditionally on the observed number of segregating SNPs. Therefore, the neutral model could be rejected for the Hereford breed, suggesting that a selection sweep occurred at the KIT locus. Twelve haplotypes were inferred in Holstein and Angus. For these two breeds, the neutral model could not be rejected. High heterogeneity of the KIT gene was confirmed from a phylogenetic analysis. Our results suggest a role of the KIT gene in determining the S^H allele(s) in the Hereford, but no evidence of selective sweep was obtained in Holstein, suggesting that complex mechanisms (or other genes) might be the cause of the spotted phenotype in this breed.     

2004 Nomenclature for the chicken major histocompatibility (<Emphasis Type="Italic">B</Emphasis> and <Emphasis Type="Italic">Y</Emphasis> ) complex

The first standard nomenclature for the chicken (Gallus gallus) major histocompatibility (B) complex published in 1982 describing chicken major histocompatibility complex (MHC) variability is being revised to include subsequent findings. Considerable progress has been made in identifying the genes that define this polymorphic region. Allelic sequences for MHC genes are accumulating at an increasing rate without a standard system of nomenclature in place. The recommendations presented here were derived in workshops held during International Society of Animal Genetics and Avian Immunology Research Group meetings. A nomenclature for B and Y (Rfp-Y) loci and alleles has been developed that can be applied to existing and newly defined haplotypes including recombinants. A list of the current standard B haplotypes is provided with reference stock, allele designations, and GenBank numbers for corresponding MHC class I and class II sequences. An updated list of proposed names for B recombinant haplotypes is included, as well as a list of over 17 Y haplotypes designated to date.