High-throughput Single Nucleotide Polymorphism Genotyping Research Articles

High-throughput SNP genotyping in Cucurbita pepo for map construction and quantitative trait loci mapping

BackgroundCucurbita pepo is a member of the Cucurbitaceae family, the second- most important horticultural family in terms of economic importance after Solanaceae. The "summer squash" types, including Zucchini and Scallop, rank among the highest-valued vegetables worldwide. There are few genomic tools available for this species.The first Cucurbita transcriptome, along with a large collection of Single Nucleotide Polymorphisms (SNP), was recently generated using massive sequencing. A set of 384 SNP was selected to generate an Illumina GoldenGate assay in order to construct the first SNP-based genetic map of Cucurbita and map quantitative trait loci (QTL).ResultsWe herein present the construction of the first SNP-based genetic map of Cucurbita pepo using a population derived from the cross of two varieties with contrasting phenotypes, representing the main cultivar groups of the species' two subspecies: Zucchini (subsp. pepo) × Scallop (subsp. ovifera). The mapping population was genotyped with 384 SNP, a set of selected EST-SNP identified in silico after massive sequencing of the transcriptomes of both parents, using the Illumina GoldenGate platform. The global success rate of the assay was higher than 85%. In total, 304 SNP were mapped, along with 11 SSR from a previous map, giving a map density of 5.56 cM/marker. This map was used to infer syntenic relationships between C. pepo and cucumber and to successfully map QTL that control plant, flowering and fruit traits that are of benefit to squash breeding. The QTL effects were validated in backcross populations.ConclusionOur results show that massive sequencing in different genotypes is an excellent tool for SNP discovery, and that the Illumina GoldenGate platform can be successfully applied to constructing genetic maps and performing QTL analysis in Cucurbita. This is the first SNP-based genetic map in the Cucurbita genus and is an invaluable new tool for biological research, especially considering that most of these markers are located in the coding regions of genes involved in different physiological processes. The platform will also be useful for future mapping and diversity studies, and will be essential in order to accelerate the process of breeding new and better-adapted squash varieties.

SNP Discovery and Development of a High-Density Genotyping Array for Sunflower

Recent advances in next-generation DNA sequencing technologies have made possible the development of high-throughput SNP genotyping platforms that allow for the simultaneous interrogation of thousands of single-nucleotide polymorphisms (SNPs). Such resources have the potential to facilitate the rapid development of high-density genetic maps, and to enable genome-wide association studies as well as molecular breeding approaches in a variety of taxa. Herein, we describe the development of a SNP genotyping resource for use in sunflower (Helianthus annuus L.). This work involved the development of a reference transcriptome assembly for sunflower, the discovery of thousands of high quality SNPs based on the generation and analysis of ca. 6 Gb of transcriptome re-sequencing data derived from multiple genotypes, the selection of 10,640 SNPs for inclusion in the genotyping array, and the use of the resulting array to screen a diverse panel of sunflower accessions as well as related wild species. The results of this work revealed a high frequency of polymorphic SNPs and relatively high level of cross-species transferability. Indeed, greater than 95% of successful SNP assays revealed polymorphism, and more than 90% of these assays could be successfully transferred to related wild species. Analysis of the polymorphism data revealed patterns of genetic differentiation that were largely congruent with the evolutionary history of sunflower, though the large number of markers allowed for finer resolution than has previously been possible.

High-throughput single nucleotide polymorphism genotyping for breeding applications in rice using the BeadXpress platform

Multiplexed single nucleotide polymorphism (SNP) markers have the potential to increase the speed and cost-effectiveness of genotyping, provided that an optimal SNP density is used for each application. To test the efficiency of multiplexed SNP genotyping for diversity, mapping and breeding applications in rice (Oryza sativa L.), we designed seven GoldenGate VeraCode oligo pool assay (OPA) sets for the Illumina BeadXpress Reader. Validated markers from existing 1536 Illumina SNPs and 44 K Affymetrix SNP chips developed at Cornell University were used to select subsets of informative SNPs for different germplasm groups with even distribution across the genome. A 96-plex OPA was developed for quality control purposes and for assigning a sample into one of the five O. sativa population subgroups. Six 384-plex OPAs were designed for genetic diversity analysis, DNA fingerprinting, and to have evenly-spaced polymorphic markers for quantitative trait locus (QTL) mapping and background selection for crosses between different germplasm pools in rice: Indica/Indica, Indica/Japonica, Japonica/Japonica, Indica/O. rufipogon, and Japonica/O. rufipogon. After testing on a diverse set of rice varieties, two of the SNP sets were re-designed by replacing poor-performing SNPs. Pilot studies were successfully performed for diversity analysis, QTL mapping, marker-assisted backcrossing, and developing specialized genetic stocks, demonstrating that 384-plex SNP genotyping on the BeadXpress platform is a robust and efficient method for marker genotyping in rice.

From RNA-seq to large-scale genotyping - genomics resources for rye (Secale cereale L.)

BackgroundThe improvement of agricultural crops with regard to yield, resistance and environmental adaptation is a perpetual challenge for both breeding and research. Exploration of the genetic potential and implementation of genome-based breeding strategies for efficient rye (Secale cereale L.) cultivar improvement have been hampered by the lack of genome sequence information. To overcome this limitation we sequenced the transcriptomes of five winter rye inbred lines using Roche/454 GS FLX technology.ResultsMore than 2.5 million reads were assembled into 115,400 contigs representing a comprehensive rye expressed sequence tag (EST) resource. From sequence comparisons 5,234 single nucleotide polymorphisms (SNPs) were identified to develop the Rye5K high-throughput SNP genotyping array. Performance of the Rye5K SNP array was investigated by genotyping 59 rye inbred lines including the five lines used for sequencing, and five barley, three wheat, and two triticale accessions. A balanced distribution of allele frequencies ranging from 0.1 to 0.9 was observed. Residual heterozygosity of the rye inbred lines varied from 4.0 to 20.4% with higher average heterozygosity in the pollen compared to the seed parent pool.ConclusionsThe established sequence and molecular marker resources will improve and promote genetic and genomic research as well as genome-based breeding in rye.

Assessment of SNPs for linkage mapping in Eucalyptus: construction of a consensus SNP/microsatellite map from two unrelated pedigrees

Background High throughput genotyping of SNP (Single Nucleotide Polymorphisms) based markers has been developed for an increasing number of plant and animal species. In forest trees large scale SNP development has been approached mainly by amplicon resequencing targeting specific genes for association genetics studies. This approach, although successfully employed in conifers aided by the use of haploid tissue, is technically laborious in diploids because of the very high levels of nucleotide and indel diversity in highly heterozygous tree genomes. Direct SNP development from large in silico sequence resources developed by next-generation sequencing is now a very efficient approach for SNP development in forest trees. We have recently developed a first set of 768 SNPs assayed by the Golden Gate Genotyping Technology for the highly heterozygous genome of Eucalyptus from a mixed Sanger/454 database [1]. We saw that a careful sequence quality assessment and the application of stringent constraints on the SNP surrounding sequences have a significant impact on SNP genotyping performance and polymorphism. With the exception of 72 SNPs specifically selected in 20 candidate genes putatively associated with relevant wood phenotypes, all remaining validated SNPs were randomly picked based solely on in silico quality. In this study we wanted to position these SNPs relative to microsatellites and assess their information content for linkage map construction. To enhance our ability of mapping SNPs we employed two eucalyptus full-sib families involving four different Eucalyptus species.

Development of highly-multiplexed SNP arrays in maritime pine for multi-objective genetic applications

Single Nucleotide Polymorphisms (SNPs) are the most abundant form of genetic variation in the genome. In this poster, we reviewed what has been achieved in terms of highly-multiplexed SNP genotyping assay construction in maritime pine (Pinus pinaster Ait.), the main conifer used for commercial plantation in southwestern Europe. Seven custom SNP-assays (384 and 1536-plex), oriented towards broad applications, have been designed. We illustrated here the usefulness of this genotyping technology to address specific questions related to i/ genetic diversity and population structure analysis, ii/ linkage and QTL mapping and iii/ association mapping. With respect to genetic diversity and differentiation, a custom VeraCode assay for 384 SNPs mostly based on a larger array designed for linkage mapping (see below) allowed to obtain less blurred, albeit similar, breeding zone boundaries than a set of 12 nuSSRs screened on the same individuals. Levels of diversity were also more accurately estimated, showing clear differences among gene pools. Interestingly, a relatively small subset of SNPs would be enough to develop an application tool for origin certification, which could have a notable impact on current operational practices. In terms of linkage mapping, a custom GoldenGate assay for 1,536 SNPs detected through the resequencing of gene fragments (in vitro SNPs) and from Sanger-derived Expressed Sequenced Tags (in silico SNPs) was established. Offspring from two mapping pedigrees were genotyped. A consensus map comprising 357 SNPs from 292 different loci was constructed and the analysis of sequence homology between mapped markers and their orthologs in a Pinus taeda linkage map, made it possible to align the 12 linkage groups of both species. Moreover, QTL detection for different traits is underway. In terms of association mapping, a custom GoldenGate assay with 384 SNPs was built and used to genotype 160 unrelated plus-trees from a half-sib experimental design for which breeding values (for height growth, circumference, stem straightness at 8 years, lignin content and extractives at 31 years) were available. Taking into account multiple testing, one single SNP in a gene encoding a putative fasciclin-like arabinogalactan protein was found to be associated with growth traits. We conclude that the VeraCode/GoldenGate assays can be used successfully for high-throughput SNP genotyping in maritime pine, a conifer species that has a genome seven times the size of the human genome. This first generation of SNP-arrays has been recently upgraded to an Infinium-array (containing 10.5k SNPs) thanks to deep sequencing based on new generation sequencing technologies. The Infinium-array also includes SNPs from comparative orthologous sequences with other major conifer species, providing a wider collection of anchor points for comparative genomics among these major groups of forest trees.

Mutation and copy number detection in human cancers using a custom genotyping assay

Identification of biomarkers for positive and negative predictors of response to cancer therapeutics can help direct clinical strategies. However, challenges with tissue availability and costs are significant limiting factors for diagnostic assays. To address these challenges, we have customized a high-throughput single nucleotide polymorphism genotyping assay with the objective of simultaneously surveying known somatic mutations and copy number alterations for translational studies in cancer. As constructed, this assay can interrogate 376 known somatic mutations and quantify copy number alterations of genes commonly implicated in tumorigenesis or progression. Validation of this assay on a panel of 321 cell lines demonstrates sensitivity to accurately detect mutations, robust accuracy in the presence of infiltrating normal tissue, and the ability to detect both DNA copy number amplifications and deletions. This technology, with its high sensitivity, small DNA requirements, and low costs is an attractive platform for biomarker exploration in cancer.

Evaluation of Nanofluidics Technology for High-Throughput SNP Genotyping in a Clinical Setting

The current need for high-throughput genotyping platforms for targeted validation of disease-associated single nucleotide polymorphisms (SNPs) motivated us to evaluate a novel nanofluidics platform for genotyping DNA extracted from peripheral blood and buccal wash samples. SNP genotyping was performed using a Fluidigm 48.48 Dynamic Array biochip on the BioMark polymerase chain reaction platform and results were compared against standard TaqMan assays and DNA sequencing. Pilot runs using these dynamic arrays on 90 samples against 20 SNP assays had an average call rate of 99.7%, with 100% call rates for 16 of the assays. Manual TaqMan genotyping of these samples against three SNPs demonstrated 100% correlation between the two platforms. To understand the influence of DNA template variability, three sources of blood samples (CH-1, n = 20; CH-2, n = 47; KK, n = 47) and buccal washes (n = 37) were genotyped for 24 SNPs. Although both CH-1 and CH-2 batches showed good base calling (≥98.8%), the KK batch and buccal wash samples exhibited lower call rates (82.1% and 94.0%). Importantly, repurification of the KK and buccal wash samples resulted in significant improvements in their call rates (to ≥97.9%). Scale-up for genotyping 1698 cases and controls for 24 SNPs had overall call rates of 97.6% for KK and 99.2% for CH samples. The Dynamic Array approach demonstrated accuracy similar to that of TaqMan genotyping, while offering significant savings in DNA, effort, time, and costs.

High-Resolution Identity by Descent Mapping Uncovers the Genetic Basis for Blood Pressure Differences Between Spontaneously Hypertensive Rat Lines

The recent development of a large panel of genome-wide single nucleotide polymorphisms (SNPs) provides the opportunity to examine genetic relationships between distinct SHR lines that share hypertension but differ in their susceptibility to hypertensive end-organ disease. We compared genotypes at nearly 10,000 SNPs obtained for the hypertension end-organ injury-susceptible spontaneously hypertensive rat (SHR)-A3 (SHRSP, SHR-stroke prone) line and the injury-resistant SHR-B2 line. This revealed that that the 2 lines were genetically identical by descent (IBD) across 86.6% of the genome. Areas of the genome that were not IBD were distributed across 19 of the 20 autosomes and the X chromosome. A block structure of non-IBD comprising a total of 121 haplotype blocks was formed by clustering of SNPs inherited from different ancestors. To test the null hypothesis that distinct SHR lines share a common set of hypertension susceptibility alleles, we compared blood pressure in adult SHR animals from both lines and their F1 and F2 progeny using telemetry. In 16- to 18-week-old animals fed a normal diet, systolic blood pressure (SBP, mm Hg) in SHR-A3 was 205.7 ± 3.86 (mean ± SEM, n = 26), whereas in similar SHR-B2 animals, SBP was 186.7 ± 2.53 (n = 20). In F1 and F2 animals, SBP was 188.2 ± 4.23 (n = 19) and 185.6 ± 1.1 (n = 211), respectively (P<10(-6), ANOVA). To identify non-IBD haplotype blocks contributing to blood pressure differences between these SHR lines, we developed a high-throughput SNP genotyping system to genotype SNPs marking non-IBD blocks. We mapped a single non-IBD block on chromosome 17 extending over <10 Mb, at which SHR-A3 alleles significantly elevate blood pressure compared with SHR-B2. Thus hypertension in SHR-A3 and -B2 appears to arise from an overlapping set of susceptibility alleles, with SHR-A3 possessing an additional hypertension locus that contributes to further increase blood pressure.

Mass‐scale high‐throughput multiplex polymerase chain reaction for human platelet antigen single‐nucleotide polymorphisms screening of apheresis platelet donors

Treatment with human platelet antigen (HPA)-matched platelets (PLTs) is the optimal therapy for bleeding secondary to neonatal alloimmune thrombocytopenia. Recent advances in high-throughput DNA-based blood group and PLT antigen genotyping have made it possible to screen plateletpheresis donors for potential HPA-matched PLT transfusion. This prospective study evaluated genomic DNA from plateletpheresis donors for single-nucleotide polymorphisms (SNPs) associated with HPA-1, -2, -3, -4, -5, and -15 to determine whether high-throughput multiplex genomic DNA PCR and oligonucleotide extension technology can be used for mass-scale PLT antigen genotyping. Genotyping using SNP technology was confirmed using sequence-specific polymerase chain reaction (SSP-PCR). Of the 748 donors screened, 277 were found to be negative for antigens implicated in alloimmune thrombocytopenia. In addition, two donors were homozygous for HPA-1b/b and -2b/b, six donors for HPA-1b/b and -3b/b, one for HPA-2b/b and -3b/b, one for HPA-1b/b and -5b/b, 10 for HPA-1b/b and -15 b/b, four for HPA-5b/b and -15b/b, and one for HPA-2b/b and -15b/b. Retesting using SSP-PCR was conducted for 60 donors. Discrepant results occurred between SNP and SSP-PCR in less than 20% of samples for HPA-1b/1b/HPA-3b/3b, HPA-5b/5b, and HPA-15b/b. High-throughput multiplex PCR SNP and confirmatory molecular genotyping are useful for mass-scale screening of apheresis PLT donors to provide antigen-negative genotypes. Refinements to mass-scale multiplex analysis technology would reduce further the confirmatory testing needed.

Development of SNP assays associated with oleic acid QTLs in N00-3350 soybean

Increasing the amount of oleic acid in soybean oil would reduce the need for hydrogenation, a process that creates unhealthy trans fatty acids. A previous study mapped six oleic acid quantitative trait loci (QTLs) from N00-3350 (~550 g kg−1 oleic acid) on soybean chromosomes (Gm) 5, 17, 18, and 19, which corresponds to linkage groups (LG) A1, D2, G, and L, respectively. The objectives of this study were to develop high throughput assays to detect single nucleotide polymorphism (SNP) markers associated with these oleic acid QTLs. Several candidate genes that are putatively responsible for the oleic acid phenotype in N00-3350 were identified by BLAST searches against the soybean genomic assembly using the sequences of fatty acid synthesis genes from soybean and Arabidopsis. Putative accC-2 and KAS I genes were located in the region of the cqOle-001 on Gm05 (LG-A1). A putative KAS I gene was located in the region of the cqOle-003 on Gm18 (LG-G) and a putative accB-1 gene was located in the region of the cqOle-004 on Gm18 (LG-G). These fatty acid candidate genes and sequence-tagged sites were used to identify SNPs between N00-3350 and ‘Boggs’. Based on these SNPs, seven SimpleProbe probes for melting curve analysis were developed to rapidly identify the alleles from the mid-oleic acid soybean line N00-3350 at the desired loci. These assays provide a high-throughput and rapid SNP genotyping method which can be used to accelerate the development of mid-oleic acid content soybean cultivars.

Application of High-Resolution Melting to Large-Scale, High-Throughput SNP Genotyping: A Comparison with the TaqMan® Method

Because of the wide use of single-nucleotide polymorphisms (SNPs) as markers of genetic variation, several high-throughput genotyping methods have been developed and applied during the past decades. High-resolution melting (HRM) is a very attractive, advanced, fast, and cost-effective SNP genotyping technology based on the analysis of the melting profile of PCR products, using intercalating fluorescent dyes to monitor the transition from unmelted to melted DNA. The authors used HRM for genotyping 215 human DNA samples for SNPs in the ABCB1, NQO1, and SLC19A1 genes and 96 samples for SNPs in the IL1A and IL12B genes with the aim of assessing HRM sensitivity and accuracy in comparisons with the TaqMan((R)) assay in view of large-scale, high-throughput SNP-typing applications. The potential effect of PCR product size, T(M), GC content, and SNP position on HRM performances was explored with amplicons that were heterogeneous for these factors. Discrimination power ranged from 91.4% to 98.4%, being significantly lower only when the number of rare homozygotes dropped to 1 or few units. The availability of specific and validated assays, in addition to a better standardization of HRM experimental conditions, can considerably reduce time and costs of large-scale genotyping studies with a negligible risk of failure or misclassification.

Genetic variant in the aquaporin 9 gene is associated with bone mineral density in postmenopausal women

This study investigated whether single nucleotide polymorphisms (SNP) in the aquaporin 9 (AQP9) gene is associated with bone mineral density (BMD) in Thai postmenopausal women, after an initial genome-wide screening using high-throughput SNP genotyping in pooled DNA samples. Subjects consisted of 516 postmenopausal women aged 50 or more. High-throughput SNP screening was performed by comparing the estimated allele frequency derived from hybridization signal intensities of pooled DNA samples on the Affymetrix 500 K SNP genotyping chip set. The SNP was then genotyped for each subject individually. Data were expressed as mean ± SEM. Pooled DNA SNP screening revealed the allele frequency of an intronic A/T SNP rs2414539 in the AQP9 gene as being different between subjects with femoral neck BMD in tertiles 1 and 3. Individual genotyping in all subjects revealed that femoral neck BMD in subjects with TT, TA, and AA genotypes were 0.79 ± 0.06 (n = 3), 0.75 ± 0.01 (n = 98), and 0.71 ± 0.01 g/cm(2) (n = 415), respectively. The presence of the T allele in rs2414539 was associated with femoral neck BMD (r = 0.11, P < 0.05) but not with lumbar spine BMD. The relationship was still significant after controlling for body weight and age (P < 0.05). Genetic variation in the AQP9 gene is associated with femoral neck BMD in postmenopausal women, and may represent one of the susceptibility genes for phenotypes related to bone mass.

Genomic expression and single-nucleotide polymorphism profiling discriminates chromophobe renal cell carcinoma and oncocytoma

BackgroundChromophobe renal cell carcinoma (chRCC) and renal oncocytoma are two distinct but closely related entities with strong morphologic and genetic similarities. While chRCC is a malignant tumor, oncocytoma is usually regarded as a benign entity. The overlapping characteristics are best explained by a common cellular origin, and the biologic differences between chRCC and oncocytoma are therefore of considerable interest in terms of carcinogenesis, diagnosis and clinical management. Previous studies have been relatively limited in terms of examining the differences between oncocytoma and chromophobe RCC.MethodsGene expression profiling using the Affymetrix HGU133Plus2 platform was applied on chRCC (n = 15) and oncocytoma specimens (n = 15). Supervised analysis was applied to identify a discriminatory gene signature, as well as differentially expressed genes. High throughput single-nucleotide polymorphism (SNP) genotyping was performed on independent samples (n = 14) using Affymetrix GeneChip Mapping 100 K arrays to assess correlation between expression and gene copy number. Immunohistochemical validation was performed in an independent set of tumors.ResultsA novel 14 probe-set signature was developed to classify the tumors internally with 93% accuracy, and this was successfully validated on an external data-set with 94% accuracy. Pathway analysis highlighted clinically relevant dysregulated pathways of c-erbB2 and mammalian target of rapamycin (mTOR) signaling in chRCC, but no significant differences in p-AKT or extracellular HER2 expression was identified on immunohistochemistry. Loss of chromosome 1p, reflected in both cytogenetic and expression analysis, is common to both entities, implying this may be an early event in histogenesis. Multiple regional areas of cytogenetic alterations and corresponding expression biases differentiating the two entities were identified. Parafibromin, aquaporin 6, and synaptogyrin 3 were novel immunohistochemical markers effectively discriminating the two pathologic entities.ConclusionsGene expression profiles, high-throughput SNP genotyping, and pathway analysis effectively distinguish chRCC from oncocytoma. We have generated a novel transcript predictor that is able to discriminate between the two entities accurately, and which has been validated both in an internal and an independent data-set, implying generalizability. A cytogenetic alteration, loss of chromosome 1p, common to renal oncocytoma and chRCC has been identified, providing the opportunities for identifying novel tumor suppressor genes and we have identified a series of immunohistochemical markers that are clinically useful in discriminating chRCC and oncocytoma.

Abstract 393: The SHrN™ scid hairless NOD mouse model: Development and characterization

Abstract The SHrN™ scid hairless NOD mouse was developed to provide a hairless triple-immunodeficient mouse model to the research community. The non-obese diabetic (NOD) mouse carrying the Prkdcscid mutation (NOD scid mouse) is an established xenograft model for humanization, oncology, and immunology research. It has proven to be particularly useful in elucidating mechanisms of spontaneous lymphoma and thymic tumors, prostate cancer research, and the engraftment of hematopoietic stem cells. As scid mice are haired, it is often necessary to shave these mice to facilitate tumor observation and evaluation. However, shaving animals does not prevent autofluorescence of hair follicles while imaging scid mice. We have transferred the hairless mutation (Hrhr) from the outbred HsdOla:MF1-Hrhr to the NOD.CB17-Prkdcscid/NCrHsd mouse to generate the inbred hairless NOD.Cg-Prkdcscid Hrhr/NCrHsd mouse, or commonly named scid hairless NOD (SHrN™). Herein we describe the breeding program utilized to generate the SHrN™ model using marker assisted backcrossing methodology. A combination of single nucleotide polymorphism (SNP) allelic discrimination and quantitative PCR (QPCR) analysis was employed to genotype offspring for the Prkdcscid and Hrhr mutations. SNP genotypes were determined using the Fluidigm Biomark™ High Throughput SNP Genotyping Platform. In each backcross generation, a total of 560 SNPs was measured on all offspring homozygous for Prkdcscid and heterozygous for Hrhr to select the most optimal breeders with the highest percentage of NOD genetic background. Littermates identified to have a genetic background 99% concordant to the NOD mouse were sibling-mated to produce F1 breeders homozygous for both Prkdcscid and Hrhr mutations. The immunologic characteristics of this model are also described, which include B and T cell deficiency, a functional deficit of NK cells, and decreased macrophage and complement function. As the least leaky, most immunocompromised hairless model available, the SHrN™ model will become a valuable enhancement to oncology and immunology research, with particular benefit to imaging technology studies. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 393.

Quadruplex Genotyping of TLR-8 Polymorphisms in a Single Reaction

Toll-like Receptor 8 (TLR8) plays an important role in the innate immune defense against various pathogens. The TLR8 genetic variation affects the course of infections with agents such as HIV, HCV, and mycobacteria. To assess the influence of single nucleotide polymorphisms (SNPs) large cohorts need to be studied; thus, rapid and cost-efficient protocols for high-throughput TLR8 genotyping are needed. We designed a single-tube assay for genotyping four SNPs located to the major coding exon of TLR8 using the LightCycler 480 system. The new method is accurate, fast, low-priced, and can be applied for fully automated high-throughput genotyping of TLR8 SNPs.

Development of genome-wide SNP assays for rice

Single nucleotide polymorphisms (SNPs) are the most abundant form of genetic variation in eukaryotic genomes. SNPs may be functionally responsible for specific traits or phenotypes, or they may be informative for tracing the evolutionary history of a species or the pedigree of a variety. As genetic markers, SNPs are rapidly replacing simple sequence repeats (SSRs) because they are more abundant, stable, amenable to automation, efficient, and increasingly cost-effective. The integration of high throughput SNP genotyping capability promises to accelerate genetic gain in a breeding program, but also imposes a series of economic, organizational and technical hurdles. To begin to address these challenges, SNP-based resources are being developed and made publicly available for broad application in rice research. These resources include large SNP datasets, tools for identifying informative SNPs for targeted applications, and a suite of custom-designed SNP assays for use in marker-assisted and genomic selection, association and QTL mapping, positional cloning, pedigree analysis, variety identification and seed purity testing. SNP resources also make it possible for breeders to more efficiently evaluate and utilize the wealth of natural variation that exists in both wild and cultivated germplasm with the aim of improving the productivity and sustainability of agriculture.

High-throughput single nucleotide polymorphism genotyping using nanofluidic Dynamic Arrays

BackgroundSingle nucleotide polymorphisms (SNPs) have emerged as the genetic marker of choice for mapping disease loci and candidate gene association studies, because of their high density and relatively even distribution in the human genomes. There is a need for systems allowing medium multiplexing (ten to hundreds of SNPs) with high throughput, which can efficiently and cost-effectively generate genotypes for a very large sample set (thousands of individuals). Methods that are flexible, fast, accurate and cost-effective are urgently needed. This is also important for those who work on high throughput genotyping in non-model systems where off-the-shelf assays are not available and a flexible platform is needed.ResultsWe demonstrate the use of a nanofluidic Integrated Fluidic Circuit (IFC) - based genotyping system for medium-throughput multiplexing known as the Dynamic Array, by genotyping 994 individual human DNA samples on 47 different SNP assays, using nanoliter volumes of reagents. Call rates of greater than 99.5% and call accuracies of greater than 99.8% were achieved from our study, which demonstrates that this is a formidable genotyping platform. The experimental set up is very simple, with a time-to-result for each sample of about 3 hours.ConclusionOur results demonstrate that the Dynamic Array is an excellent genotyping system for medium-throughput multiplexing (30-300 SNPs), which is simple to use and combines rapid throughput with excellent call rates, high concordance and low cost. The exceptional call rates and call accuracy obtained may be of particular interest to those working on validation and replication of genome- wide- association (GWA) studies.

High-throughput SNP genotyping with the GoldenGate assay in maize

Single nucleotide polymorphisms (SNPs) are abundant and evenly distributed throughout the genomes of most plant species. They have become an ideal marker system for genetic research in many crops. Several high throughput platforms have been developed that allow rapid and simultaneous genotyping of up to a million SNP markers. In this study, a custom GoldenGate assay containing 1,536 SNPs was developed based on public SNP information for maize and used to genotype two recombinant inbred line (RIL) populations (Zong3 x 87-1, and B73 x By804) and a panel of 154 diverse inbred lines. Over 90% of the SNPs were successfully scored in the diversity panel and the two RIL populations, with a genotyping error rate of less than 2%. A total of 975 SNP markers detected polymorphism in at least one of the two mapping populations, with a polymorphic rate of 38.5% in Zong3 x 87-1 and 52.6% in B73 x By804. The polymorphic SNPs in B73 x By804 have been integrated with previously mapped simple sequence repeat markers to construct a high-density linkage map containing 662 markers with a total length of 1,673.7 cM and an average of 2.53 cM between two markers. The minor allelic frequency (MAF) was distributed evenly across 10 continued classes from 0.05 to 0.5, and about 16% of the SNP markers had a MAF below 10% in the diversity panel. Polymorphism rates for individual SNP markers in pair-wise comparisons of genotypes tested ranged from 0.3 to 63.8% with an average of 36.3%. Most SNPs used in this GoldenGate assay appear to be equally useful for diversity analysis, marker-trait association studies, and marker-aided breeding.

Capture of assay template by multiplex PCR of long amplicons for genotyping SNPs and InDels with MALDI-TOF mass spectrometry

Mis-priming associated with uncharacterised single nucleotide polymorphisms (SNPs) may lead to failure of PCR for genotyping. This is particularly troublesome in high-throughput SNP genotyping applications relying on multiplex PCR (2–40-plex) generating many short amplicons (80–120 bp) of similar size, an approach best suited for whole genome scans. However, if the target SNPs are clustered within a few target genes one option to ameliorate this is to increase the amplicon length, effectively reducing the potential for primer/template interactions and mis-priming. We tested this approach in a diverse population of 372 Eucalyptus pilularis individuals (π = 8.11 × 10−3, He = 0.75) using a modified Sequenom iPLEX gold assay. Four candidate genes (MYB1, MYB2, CAD and CCR) were amplified in a single long range multiplex capture PCR generating 6 long amplicons ranging in size from 907 to 2,225 bp. This contrasts with the standard approach which would have required the amplification of 98 short amplicons in 4 multiplex reactions. These 6 long amplicons provided the assay template for 98 assays (87 SNP and 11 InDel) within the 4 candidate genes. Reaction results indicated that longer amplicons could provide a suitable template for genotyping assays, with 90.8% of assays functional and 84.3% of assays suitable for downstream analysis. Additional advantages of this approach were the capacity for troubleshooting using gel electrophoresis and savings of 94% in capture primer synthesis costs. This approach will have the greatest relevance for candidate gene approaches for association testing in uncharacterised populations of organisms with high sequence diversity.