Single nucleotide polymorphism genotyping using allele-specific PCR and fluorescence melting curves

We present a PCR method for identification of single nucleotide polymorphisms (SNPs), using allele-specific primers designed for selective amplification of each allele. Matching the SNP at the 3' end of the forward or reverse primer, and additionally incorporating a 3' mismatch to prevent amplification of the incorrect allele, results in selectivity of the allele-specific primers. DNA melting analysis with fluorescent SYBR Green affords detection of the PCR products. By incorporating a GC-rich sequence into one of the two allele-specific primers to increase the melting temperature, both alleles can be measured simultaneously at their respective melting temperatures. Applying the DNA melting analysis to SNPs in ApoE and ABCA1 yielded results identical to those obtained with other genotyping methods. This provides a cost-effective, high-throughput method for amplification and scoring of SNPs.     

PCR amplification on magnetic nanoparticles: application for high-throughput single nucleotide polymorphism genotyping

A novel approach for the genotyping of single nucleotide polymorphisms (SNPs) based on solidphase PCR on magnetic nanoparticles (MNPs) is described. PCR products were amplified directly on MNPs. The genotypes of a given SNP were differentiated by hybridization with a pair of allele-specific probes labeled with dual-color fluorescence (Cy3, Cy5). The results were analyzed by scanning the microarray printed with the denatured fluorescent probes on an unmodified glass slide. Electrophoresis analysis indicated that PCR could proceed successfully when MNPs-bound primers were used. Furthermore, nine different samples were genotyped and their fluorescent signals were quantified. Genotyping results showed that three genotypes for the locus were very easily discriminated. The fluorescent ratios (match probe:mismatch probe signal) of homozygous samples were over 9.3, whereas heterozygous samples had ratios near 1.0. Without any purification and concentration of PCR products, this new MNP-PCR based genotyping assay potentially provides a rapid, labor-saving method for genotyping of a large number of individuals.     

Single nucleotide polymorphism genotyping using short,fluorescently labeled locked nucleic acid (LNA) probes and fluorescence polarization detection

Locked nucleic acids (LNAs) are synthetic nucleic acid analogs that bind to complementary target molecules (DNA, RNA or LNA) with very high affinity. At the same time, this binding affinity is decreased substantially when the hybrids thus formed contain even a single mismatched base pair. We have exploited these properties of LNA probes to develop a new method for single nucleotide polymorphism genotyping. In this method, very short (hexamer or heptamer) LNA probes are labeled with either rhodamine or hexachlorofluorescein (HEX), and their hybridization to target DNAs is followed by measuring the fluorescence polarization (FP) of the dyes. The formation of perfectly complementary double-stranded hybrids gives rise to significant FP increases, whereas the presence of single mismatches results in very small or no changes of this parameter. Multiplexing of the assay can be achieved by using differentially labeled wild-type and mutant specific probes in the same solution. The method is homogeneous, and because of the use of extremely short LNA probes, the generation of a universal set of genotyping reagents is possible.     

Single nucleotide polymorphism genotyping in polyploid wheat with the Illumina GoldenGate assay

Single nucleotide polymorphisms (SNPs) are indispensable in such applications as association mapping and construction of high-density genetic maps. These applications usually require genotyping of thousands of SNPs in a large number of individuals. Although a number of SNP genotyping assays are available, most of them are designed for SNP genotyping in diploid individuals. Here, we demonstrate that the Illumina GoldenGate assay could be used for SNP genotyping of homozygous tetraploid and hexaploid wheat lines. Genotyping reactions could be carried out directly on genomic DNA without the necessity of preliminary PCR amplification. A total of 53 tetraploid and 38 hexaploid homozygous wheat lines were genotyped at 96 SNP loci. The genotyping error rate estimated after removal of low-quality data was 0 and 1% for tetraploid and hexaploid wheat, respectively. Developed SNP genotyping assays were shown to be useful for genotyping wheat cultivars. This study demonstrated that the GoldenGate assay is a very efficient tool for high-throughput genotyping of polyploid wheat, opening new possibilities for the analysis of genetic variation in wheat and dissection of genetic basis of complex traits using association mapping approach. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Single nucleotide polymorphism genotyping of aldehyde dehydrogenase 2 gene using a single bacterial magnetic particle

A single nucleotide polymorphism (SNP) genotyping for aldehyde dehydrogenase 2 gene (ALDH2) has been developed by using a nano-sized magnetic particle, which was synthesized intracellularly by magnetic bacteria. Streptavidin-immobilized on bacterial magnetic particles (BMPs) were prepared using biotin labeled cross-linkers reacting with the amine group on BMPs. ALDH2 fragments from genomic DNA were amplified using a TRITC labeled primer and biotin labeled primer pair, and conjugated onto BMP surface by biotin-streptavidin interaction. PCR product-BMP complex was observed at a single particle level by fluorescence microscopy. These complexes were treated with restriction enzyme, specifically digesting the wild-type sequence of ALDH2 (normal allele of ALDH2). The homozygous (ALDH2*1/*1), heterozygous (ALDH2*1/*2), and mutant (ALDH2*2/*2) genotypes were discriminated by three fluorescence patterns of each particle. SNP genotyping of ALDH2 has been successfully achieved at a single particle level using BMP.     

Multiplex single nucleotide polymorphism (SNP)-based genotyping in allohexaploid wheat using padlock probes

Single nucleotide polymorphisms are the most common polymorphism in plant and animal genomes and, as such, are the logical choice for marker-assisted selection. However, many plants are also polyploid, and marker-assisted selection can be complicated by the presence of highly similar, but non-allelic, homoeologous sequences. Despite this, there is practical and academic demand for high-throughput genotyping in several polyploid crop species, such as allohexaploid wheat. In this paper, we present such a system, which utilizes public single nucleotide polymorphisms previously identified in both agronomically important genes and in randomly selected, mapped, expressed sequence tags developed by the wheat community. To achieve relatively high levels of multiplexing, we used non-amplified genomic DNA and padlock probe pairs, together with high annealing temperatures, to differentiate between similar sequences in the wheat genome. Our results suggest that padlock probes are capable of discriminating between homoeologous sequences and hence can be used to efficiently genotype wheat varieties.     

Sequence-related amplified polymorphism (SRAP) molecular marker system and its applications in crop improvement

Plant biotechnology has great potential for improving target traits in crops. This can be achieved by the production of transgenic crops and marker-assisted breeding. Marker-assisted breeding has gained momentum in recent times since it does not need biosafety regulations. Several kind of molecular markers are available for use in crop breeding, such as restriction fragment length polymorphism, microsatellites, sequence characterized amplified region, sequence-tagged site, inter-simple sequence repeat amplification, amplified fragment length polymorphism and single nucleotide polymorphism. Sequence-related amplified polymorphism is a novel molecular marker system which is based on open reading frames (ORFs) developed from genome sequence data of Arabidopsis. It provides a unique combination of forward and reverse primers which can be selected arbitrarily giving a large number of primer combinations. Since this is an ORF-based marker system, it targets functional genes and has potential for their application in crop breeding. This marker system was first used and demonstrated by Li and Quiros in Brassica oleracea in 2001, and since then there have been several reports in different plant species ranging from field crops to tree species for assessing genetic diversity, mapping and tagging of genes, hybrid identification and sex determination. This review provides an overview of SRAP markers and their applications in crop improvement.     

Improvement of single nucleotide polymorphism genotyping by allele-specific PCR using primers modified with an ENA residue

When we placed an ENA residue into primers at the 3' end, or the n-1, n-2, or n-3 position, which included a single nucleotide polymorphism (SNP) site at the 3' end, only primers containing the ENA residue at the n-2 position were read by Taq DNA polymerase for amplification. The use of the ENA primers avoided the generation of undesired short products, which are thought to be derived from primer-dimers. A greater discrimination of the SNP site by these primers containing the ENA residue was observed compared with that of the corresponding unmodified DNA primers that are often used for allele-specific polymerase chain reaction (AS-PCR). This improvement is probably due to the difficulty of incorporating a nucleotide into the mismatched ENA primer by Taq DNA polymerase in the modified primer-template duplex. These results demonstrate that ENA primer-based AS-PCR would enable a rapid and reliable technique for SNP genotyping.     

Single nucleotide polymorphism (SNP) allele frequency estimation in DNA pools using Pyrosequencing

Identifying the genetic variation underlying complex disease requires analysis of many single nucleotide polymorphisms (SNPs) in a large number of samples. Several high-throughput SNP genotyping techniques are available; however, their cost promotes the use of association screening with pooled DNA. This protocol describes the estimation of SNP allele frequencies in pools of DNA using the quantitative sequencing method Pyrosequencing (PSQ). PSQ is a relatively recently described high-throughput method for genotyping, allele frequency estimation and DNA methylation analysis based on the detection of real-time pyrophosphate release during synthesis of the complementary strand to a PCR product. The protocol involves the following steps: (i) quantity and quality assessment of individual DNA samples; (ii) DNA pooling, which may be undertaken at the pre- or post-PCR stage; (iii) PCR amplification of PSQ template containing the variable sequence region of interest; and (iv) PSQ to determine the frequency of alleles at a particular SNP site. Once the quantity and quality of individual DNA samples has been assessed, the protocol usually requires a few days for setting up pre-PCR pools, depending on sample number. After PCR amplification, preparation and analysis of PCR amplicon by PSQ takes 1 h per plate.     

表观遗传变异及其在作物改良中的应用

天然植物群体中存在着大量的遗传变异, 包括遗传物质改变和表观遗传变异, 它们是物种赖以生存和进化的源泉。表观遗传变异不涉及DNA序列的改变或者蛋白表达的变化, 但可以通过有丝分裂和(或)减数分裂实现世代间的稳定遗传。文章主要从表观遗传变异的重要来源--植物远缘杂交及多倍体化、环境中各种生物和非生物胁迫两方面, 总结了表观遗传在作物改良中的应用, 分析了它的局限性和存在的问题, 并且提出了相应的解决方法。     

Frequency Detection of Organophosphate Resistance Allele in Anopheles sinensis (Diptera: Culicidae) Populations by Real-time PCR Amplification of Specific Allele (rtPASA)

A rapid, simple and accurate real-time PASA (PCR amplification of specific allele) (rtPASA) protocol was developed and optimized for the frequency estimation of the Glyl 19Ser mutation in the type-I acetylcholinesterase locus, putatively associated with organophosphate resistance, in pooled DNA samples of Anopheles sinensis, a major vector mosquito of malaria in Korea. Performance of the rtPASA protocol was evaluated by comparing with the data generated from individual genotypings of a field population. The resistance allele frequency of the population (74.4%) predicted from the linear regression line of the rtPASA agreed well with that estimated from the individual genotyping (74.1%), demonstrating its reliability and accuracy. Using this rtPASA protocol, the resistance allele frequency in 10 local populations of An. sinensis was determined to range from 74.4% to 97.2%, suggestive of the widespread organophosphate resistance in An. sinensis in Korea.     

Single nucleotide polymorphism (SNP) discovery in mammals: a targeted-gene approach

Single nucleotide polymorphisms (SNPs) have rarely been exploited in nonhuman and nonmodel organism genetic studies. This is due partly to difficulties in finding SNPs in species where little DNA sequence data exist, as well as to a lack of robust and inexpensive genotyping methods. We have explored one SNP discovery method for molecular ecology, evolution, and conservation studies to evaluate the method and its limitations for population genetics in mammals. We made use of 'CATS' (or 'EPIC') primers to screen for novel SNPs in mammals. Most of these primer sets were designed from primates and/or rodents, for amplifying intron regions from conserved genes. We have screened 202 loci in 16 representatives of the major mammalian clades. Polymerase chain reaction (PCR) success correlated with phylogenetic distance from the human and mouse sequences used to design most primers; for example, specific PCR products from primates and the mouse amplified the most consistently and the marsupial and armadillo amplifications were least successful. Approximately 24% (opossum) to 65% (chimpanzee) of primers produced usable PCR product(s) in the mammals tested. Products produced generally high but variable levels of readable sequence and similarity to the expected genes. In a preliminary screen of chimpanzee DNA, 12 SNPs were identified from six (of 11) sequenced regions, yielding a SNP on average every 400 base pairs (bp). Given the progress in genome sequencing, and the large numbers of CATS-like primers published to date, this approach may yield sufficient SNPs per species for population and conservation genetic studies in nonmodel mammals and other organisms.     

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.     

RNase H-dependent PCR (rhPCR): improved specificity and single nucleotide polymorphism detection using blocked cleavable primers

Background

The combinatorial library strategy of using multiple candidate ligands in mixtures as library members is ideal in terms of cost and efficiency, but needs special screening methods to estimate the affinities of candidate ligands in such mixtures. Herein, a new method to screen candidate ligands present in unknown molar quantities in mixtures was investigated.

Results

The proposed method involves preparing a processed-mixture-for-screening (PMFS) with each mixture sample and an exogenous reference ligand, initiating competitive binding among ligands from the PMFS to a target immobilized on magnetic particles, recovering target-ligand complexes in equilibrium by magnetic force, extracting and concentrating bound ligands, and analyzing ligands in the PMFS and the concentrated extract by chromatography. The relative affinity of each candidate ligand to its reference ligand is estimated via an approximation equation assuming (a) the candidate ligand and its reference ligand bind to the same site(s) on the target, (b) their chromatographic peak areas are over five times their intercepts of linear response but within their linear ranges, (c) their binding ratios are below 10%. These prerequisites are met by optimizing primarily the quantity of the target used and the PMFS composition ratio. The new method was tested using the competitive binding of biotin derivatives from mixtures to streptavidin immobilized on magnetic particles as a model. Each mixture sample containing a limited number of candidate biotin derivatives with moderate differences in their molar quantities were prepared via parallel-combinatorial-synthesis (PCS) without purification, or via the pooling of individual compounds. Some purified biotin derivatives were used as reference ligands. This method showed resistance to variations in chromatographic quantification sensitivity and concentration ratios; optimized conditions to validate the approximation equation could be applied to different mixture samples. Relative affinities of candidate biotin derivatives with unknown molar quantities in each mixture sample were consistent with those estimated by a homogenous method using their purified counterparts as samples.

Conclusions

This new method is robust and effective for each mixture possessing a limited number of candidate ligands whose molar quantities have moderate differences, and its integration with PCS has promise to routinely practice the mixture-based library strategy.     

Locked nucleic acid (LNA) single nucleotide polymorphism (SNP) genotype analysis and validation using real-time PCR

With an increased emphasis on genotyping of single nucleotide polymorphisms (SNPs) in disease association studies, the genotyping platform of choice is constantly evolving. In addition, the development of more specific SNP assays and appropriate genotype validation applications is becoming increasingly critical to elucidate ambiguous genotypes. In this study, we have used SNP specific Locked Nucleic Acid (LNA) hybridization probes on a real-time PCR platform to genotype an association cohort and propose three criteria to address ambiguous genotypes. Based on the kinetic properties of PCR amplification, the three criteria address PCR amplification efficiency, the net fluorescent difference between maximal and minimal fluorescent signals and the beginning of the exponential growth phase of the reaction. Initially observed SNP allelic discrimination curves were confirmed by DNA sequencing (n = 50) and application of our three genotype criteria corroborated both sequencing and observed real-time PCR results. In addition, the tested Caucasian association cohort was in Hardy-Weinberg equilibrium and observed allele frequencies were very similar to two independently tested Caucasian association cohorts for the same tested SNP. We present here a novel approach to effectively determine ambiguous genotypes generated from a real-time PCR platform. Application of our three novel criteria provides an easy to use semi-automated genotype confirmation protocol.     

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.     

Multiplex preamplification PCR and microsatellite validation enables accurate single nucleotide polymorphism genotyping of historical fish scales

Incorporating historical tissues into the study of ecological, conservation and management questions can broaden the scope of population genetic research by enhancing our understanding of evolutionary processes and anthropogenic influences on natural populations. Genotyping historical and low-quality samples has been plagued by challenges associated with low amounts of template DNA and the potential for pre-existing DNA contamination among samples. We describe a two-step process designed to (i) accurately genotype large numbers of historical low-quality scale samples in a high-throughput format and (ii) screen samples for pre-existing DNA contamination. First, we describe how an efficient multiplex preamplification PCR of 45 single nucleotide polymorphisms (SNPs) can generate highly accurate genotypes with low failure and error rates in subsequent SNP genotyping reactions of individual historical scales from sockeye salmon (Oncorhynchus nerka). Second, we demonstrate how the method can be modified for the amplification of microsatellite loci to detect pre-existing DNA contamination. A total of 760 individual historical scale and 182 contemporary fin clip samples were genotyped and screened for contamination. Genotyping failure and error rates were exceedingly low and similar for both historical and contemporary samples. Pre-existing contamination in 21% of the historical samples was successfully identified by screening the amplified microsatellite loci. The advantages of automation, low failure and error rates, and ability to multiplex both the preamplification and subsequent genotyping reactions combine to make the protocol ideally suited for efficiently genotyping large numbers of potentially contaminated low-quality sources of DNA.