Characterization of eight single nucleotide polymorphism markers in Aedes aegypti

Sequencing of part of seven genes from Aedes aegypti collected in 16 Brazilian cities revealed the existence of 53 single nucleotide polymorphisms (SNPs), representing one SNP every 52 base pairs. From these 53 SNPs, we selected eight that are independent and highly polymorphic. We describe the use of these markers for differentiation of Brazilian populations of A. aegypti. These are the first SNPs developed for delineating population structure in A. aegypti, and will be a useful complement to epidemiological studies.     

Evaluation of 16 loci to examine the cross‐species utility of single nucleotide polymorphism arrays

Large collections of single nucleotide polymorphisms (SNPs) have recently been identified from a number of livestock genomes. This raises the possibility that SNP arrays might be useful for analysis in related species for which few genetic markers are currently available. To address the likely success of such an approach, the aim of this study was to examine the threshold number and position of flanking mutations which act to prevent genotype calls being produced. Sequence diversity was measured across 16 loci containing SNPs known either to work successfully between species or fail between species. In pairwise comparisons between domestic and wild sheep, sequence divergence surrounding working SNP assays was significantly lower than that surrounding non‐functional assays. In addition, the location of flanking mismatches tended to be closer to the target SNP in loci that failed to generate genotype calls across species. The magnitude of sequence divergence observed for both working and non‐functional assays was compared with the divergence separating domestic sheep from European Mouflon, African Barbary, goat and cattle. The results suggest that the utility of SNP arrays for analysis of shared polymorphism will be restricted to closely related pairs of species. Analysis across more divergent species will, however, be successful for other objectives, such as the identification of the ancestral state of SNPs.     

Touchdown thermocycling program enables a robust single nucleotide polymorphism typing method based on allele-specific real-time polymerase chain reaction

Different methods have been developed for single nucleotide polymorphism (SNP) typing during recent years. Allele-specific polymerase chain reaction (ASPCR) is a cost-saving method that scores SNPs by difference of the PCR efficiency of allele-specific primers. However, ASPCR for SNP typing is notoriously confounded for its locus-specific unpredictability and the laborious gel electrophoresis. In the current study, we investigated the real-time kinetics of ASPCR and found that a simple touchdown thermocycling protocol improved its specificity significantly. Combined with real-time PCR, we developed a homogeneous genotyping method and scored more than 1000 genotypes, including all transition and transversion SNPs. A clear genotyping result was identified and validated the robustness of the method. Optimization of reactions and intrinsic modification of allele-specific primers, a laborious process but one that is repeatedly reported to be inevitable for successful ASPCR, was proved to be unnecessary with our method. Accuracy was confirmed with mass spectrometry. These characters enabled real-time ASPCR with the touchdown thermocycling protocol being very competitive among various SNP typing methods for large-scale genetic studies.     

Characterization of 15 single nucleotide polymorphism markers for chimpanzees (Pan troglodytes)

We report the characterization of 15 new single nucleotide polymorphism markers for a threatened species, the chimpanzee (Pan troglodytes), developed using a targeted gene approach. These markers are derived from the Y chromosome and autosomal regions of the genome and show frequency differences between chimpanzee subspecies from central and western Africa. These single nucleotide polymorphism markers are the first to be designed for the genotyping of wild chimpanzee populations and will provide a useful addition to the genetic tools employed for the conservation management of this threatened species.     

Six diagnostic single nucleotide polymorphism markers for detecting introgression between cutthroat and rainbow trouts

Ten primer pairs were screened to develop single nucleotide polymorphism (SNP) TaqMan assays that will distinguish California golden trout and some rainbow trouts (Oncorhynchus mykiss sspp., O. m. aguabonita) from the Paiute and Lahontan cutthroat trouts (Oncorhynchus clarkii seleniris, O. c. henshawi). From these 10 primer pairs, one mitochondrial and five nuclear fixed SNP differences were discovered and developed into TaqMan assays. These six assays will be useful for characterizing and monitoring hybridization between these groups. Additional Oncorhynchus clarkii sspp. and Oncorhynchus mykiss sspp. were assayed to determine if these assays are useful in closely related species.     

Characterization of single nucleotide polymorphism markers for eelgrass (Zostera marina)

We characterized 37 single nucleotide polymorphism (SNP) makers for eelgrass Zostera marina. SNP markers were developed using existing EST (expressed sequence tag)-libraries to locate polymorphic loci and develop primers from the functional expressed genes that are deposited in The ZOSTERA database (V1.2.1). SNP loci were genotyped using a single-base-extension approach which facilitated high-throughput genotyping with minimal optimization time. These markers show a wide range of variability among 25 eelgrass populations and will be useful for population genetic studies including evaluation of population structure, historical demography, and phylogeography. Potential applications include haplotype inference of physically linked SNPs and identification of genes under selection for temperature and desiccation stress.     

Self-assembly DNA-conjugated polymer for detection of single nucleotide polymorphism

We developed a self-assembly DNA-conjugated polymer based on polyacrylic acid (PAA) for DNA chip fabrication. A 20-mer single-stranded DNA (ssDNA, probe-1), and 3-(2-pyridyldithio)propionyl hydrazide (PDPH), for promoting self-assembled immobilization, were both covalently attached to PAA as sidechains. This DNA-conjugated PAA was then spontaneously immobilized on a gold substrate. Probe-1 on the immobilized polymer was hybridized to a 34-mer ssDNA (probe-2), which had the sequence desired for analyzing the target DNA. The fluorescence intensity after incubating the P-1 DNA-conjugated polymer with probe-2 DNA was much higher than with control sequence in the first hybridization. The interactions between target DNA and the DNA-conjugated PAA were investigated by fluorescence measurement. The interaction of fully matched target DNA with this immobilized DNA conjugated polymer has been studied at different ion strength conditions. SNP sequences as targets showed less than 15% the intensity of fully matched target DNA in the second hybridization, indicating that the gold surfaces coated with the DNA-conjugated PAA was highly specific to fully matched DNA. The DNA-conjugated PAA immobilized on a gold substrate is characterized by reduced nonspecific adsorption, due to less electrostatic repulsion as well as the polymer coating. Therefore, DNA-conjugated PAA can be used for probe DNA immobilization method.     

Comparison of microsatellites and amplified fragment length polymorphism markers for parentage analysis

This study compares the properties of dominant markers, such as amplified fragment length polymorphisms (AFLPs), with those of codominant multiallelic markers, such as microsatellites, in reconstructing parentage. These two types of markers were used to search for both parents of an individual without prior knowledge of their relationships, by calculating likelihood ratios based on genotypic data, including mistyping. Experimental data on 89 oak trees genotyped for six microsatellite markers and 159 polymorphic AFLP loci were used as a starting point for simulations and tests. Both sets of markers produced high exclusion probabilities, and among dominant markers those with dominant allele frequencies in the range 0.1-0.4 were more informative. Such codominant and dominant markers can be used to construct powerful statistical tests to decide whether a genotyped individual (or two individuals) can be considered as the true parent (or parent pair). Gene flow from outside the study stand (GFO), inferred from parentage analysis with microsatellites, overestimated the true GFO, whereas with AFLPs it was underestimated. As expected, dominant markers are less efficient than codominant markers for achieving this, but can still be used with good confidence, especially when loci are deliberately selected according to their allele frequencies.     

Polymerase chain reaction primers for polymorphic microsatellite loci from the Korean sandfish,Arctoscopus japonicus

We developed 12 polymorphic microsatellite markers from Arctoscopus japonicus by screening an enriched genomic library using polymerase chain reaction (PCR) techniques. The average of alleles size was 16.2, and the average observed and expected heterozygosities were 0.59 and 0.78, respectively. The observed genotypic frequencies in five loci were significantly deviated from Hardy–Weinberg expectations. The high variability revealed in this study suggested that these microsatellite loci should provide useful markers for population genetics of A. japonicus.     

Multipoint genetic mapping of quantitative trait loci with dominant markers in outbred populations

We present a multipoint algorithm for mapping quantitative trait loci (QTLs) using dominant markers. The algorithm is designed for outbred populations and is particularly suited for large families. The algorithm works with either codominant or dominant markers, either of which may be interspersed within the same linkage map. Concurrently, the algorithm also partitions dominance variance at the QTL. Computer simulations show that with large families, QTL mapping with dominant markers can be almost as powerful as with bi-allelic, codominant markers. Yet despite this, other situations show a large standard deviation in the estimate of the QTL position, thus making QTL mapping with dominant markers in outbred populations a useful detection tool, albeit limited in its resolution. This revised version was published online in July 2006 with corrections to the Cover Date.     

Characterization of single nucleotide polymorphism markers for the green sea turtle (Chelonia mydas)

We present data on 29 new single nucleotide polymorphism assays for the green sea turtle, Chelonia mydas. DNA extracts from 39 green turtles were used for two methods of single nucleotide polymorphism discovery. The first approach employed an amplified fragment length polymorphism technique. The second technique screened a microsatellite library. Allele-specific amplification assays were developed for high-throughput single nucleotide polymorphism genotyping and tested on two Pacific C. mydas nesting populations. Observed heterozygosities ranged from 0 to 0.95 for a Hawaiian population and from 0 to 0.85 for a Galapagos population. Each of the populations had one locus out of Hardy-Weinberg equilibrium, SSCM2b and SSCM5 for Hawaii and Galapagos, respectively. No loci showed significant genotypic linkage disequilibrium across an expanded set of four Pacific nesting populations. However, two loci, SSCM4 and SSCM10b showed linkage disequilibrium across three populations indicating possible association.     

Genomic and genetic variability of six chicken populations using single nucleotide polymorphism and copy number variants as markers

Genomic and genetic variation among six Italian chicken native breeds (Livornese, Mericanel della Brianza, Milanino, Bionda Piemontese, Bianca di Saluzzo and Siciliana) were studied using single nucleotide polymorphism (SNP) and copy number variants (CNV) as markers. A total of 94 DNA samples genotyped with Axiom® Genome-Wide Chicken Genotyping Array (Affymetrix) were used in the analyses. The results showed the genetic and genomic variability occurring among the six Italian chicken breeds. The genetic relationship among animals was established with a principal component analysis. The genetic diversity within breeds was calculated using heterozygosity values (expected and observed) and with Wright’s F-statistics. The individual-based CNV calling, based on log R ratio and B-allele frequency values, was done by the Hidden–Markov Model (HMM) of PennCNV software on autosomes. A hierarchical agglomerative clustering was applied in each population according to the absence or presence of definite CNV regions (CNV were grouped by overlapping of at least 1 bp). The CNV map was built on a total of 1003 CNV found in individual samples, after grouping by overlaps, resulting in 564 unique CNV regions (344 gains, 213 losses and 7 complex), for a total of 9.43 Mb of sequence and 1.03% of the chicken assembly autosome. All the approaches using SNP data showed that the Siciliana breed clearly differentiate from other populations, the Livornese breed separates into two distinct groups according to the feather colour (i.e. white and black) and the Bionda Piemontese and Bianca di Saluzzo breeds are closely related. The genetic variability found using SNP is comparable with that found by other authors in the same breeds using microsatellite markers. The CNV markers analysis clearly confirmed the SNP results.     

A single nucleotide polymorphism assay for the identification of unisexual Ambystoma salamanders

Unisexual (all female) salamanders in the genus Ambystoma are animals of variable ploidy (2N‐5N) that reproduce via a unique system of ‘leaky’ gynogenesis. As a result, these salamanders have a diverse array of nuclear genome combinations from up to five sexual species: the blue‐spotted (A. laterale), Jefferson (A. jeffersonianum), smallmouth (A. texanum), tiger (A. tigrinum) and streamside (A. barbouri) salamanders. Identifying the genome complement, or biotype, is a critical first step in addressing a broad range of ecological and evolutionary questions about these salamanders. Previous work relied upon genome‐related differences in allele size distributions for specific microsatellite loci, but overlap in these distributions among different genomes makes definitive identification and ploidy determination in unisexuals difficult or impossible. Here, we develop the first single nucleotide polymorphism assay for the identification of unisexual biotypes, based on species‐specific nucleotide polymorphisms in noncoding DNA loci. Tests with simulated and natural unisexual DNA samples show that this method can accurately identify genome complement and estimate ploidy, making this a valuable tool for assessing the genome composition of unisexual samples.     

Multi-locus inference of population structure: a comparison between single nucleotide polymorphisms and microsatellites

Although growing numbers of single nucleotide polymorphisms (SNPs) and microsatellites (short tandem repeat polymorphisms or STRPs) are used to infer population structure, their relative properties in this context remain poorly understood. SNPs and STRPs mutate differently, suggesting multi-locus genotypes at these loci might differ in ability to detect population structure. Here, we use coalescent simulations to measure the power of sets of SNPs and STRPs to identify population structure. To maximize the applicability of our results to empirical studies, we focus on the popular STRUCTURE analysis and evaluate the role of several biological and practical factors in the detection of population structure. We find that: (1) fewer unlinked STRPs than SNPs are needed to detect structure at recent divergence times <0.3 N_e generations; (2) accurate estimation of the number of populations requires many fewer STRPs than SNPs; (3) for both marker types, declines in power due to modest gene flow (N_em=1.0) are largely negated by increasing marker number; (4) variation in the STRP mutational model affects power modestly; (5) SNP haplotypes (θ=1, no recombination) provide power comparable with STRP loci (θ=10); (6) ascertainment schemes that select highly variable STRP or SNP loci increase power to detect structure, though ascertained data may not be suitable to other inference; and (7) when samples are drawn from an admixed population and one of its parent populations, the reduction in power to detect two populations is greater for STRPs than SNPs. These results should assist the design of multi-locus studies to detect population structure in nature.     

Allele-specific primer polymerase chain reaction for a single nucleotide polymorphism (C1205T) of swine toll-like receptor 5 and comparison of the allelic frequency among several pig breeds in Japan and the Czech Republic

In the present study, an allele-specific primer-polymerase chain reaction (ASP-PCR) for genotyping a single nucleotide polymorphism (SNP) of swine Toll-like receptor 5 (TLR5) (C1205T; P402L) that is related to the impaired recognition of Salmonella enterica serovar Choleraesuis (SC) was developed. The allele frequencies in several pig breeds in Japan and the Czech Republic were also compared. The swine TLR5 C1205T mutation was successfully determined by ASP-PCR using genomic DNA samples in Japan that had previously been genotyped by a sequencing method. Using the PCR condition determined, genomic DNA samples from blood obtained from 110 pigs from seven different breeds in the Czech Republic were genotyped by the ASP-PCR. The genotyping results from the ASP-PCR completely matched the results from the sequencing method. The allele frequency of the swine TLR5 C1205T mutation was 27.5% in the Landrace breed of the Czech Republic compared with 50.0% in Japanese Landrace. In Japan, the C1205T mutation was found only in the Landrace breed, whereas in the Czech Republic it was found in both the Landrace and Piétrain breeds. These results indicate the usefulness of ASP-PCR for detecting a specific SNP for swine TLR5 affecting ligand recognition. They also suggest the possibility of genetically improving pigs to enhance their resistance against SC infection by eliminating or selecting this specific SNP of swine TLR5.     

Bioinformatics approaches and resources for single nucleotide polymorphism functional analysis

Since the initial sequencing of the human genome, many projects are underway to understand the effects of genetic variation between individuals. Predicting and understanding the downstream effects of genetic variation using computational methods are becoming increasingly important for single nucleotide polymorphism (SNP) selection in genetics studies and understanding the molecular basis of disease. According to the NIH, there are now more than four million validated SNPs in the human genome. The volume of known genetic variations lends itself well to an informatics approach. Bioinformaticians have become very good at functional inference methods derived from functional and structural genomics. This review will present a broad overview of the tools and resources available to collect and understand functional variation from the perspective of structure, expression, evolution and phenotype. Additionally, public resources available for SNP identification and characterisation are summarised.     

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.     

A genome‐wide scan for copy number variations using high‐density single nucleotide polymorphism array in Simmental cattle

Copy number variations (CNVs) have recently been identified as promising sources of genetic variation, complementary to single nucleotide polymorphisms (SNPs). As a result, detection of CNVs has attracted a great deal of attention. In this study, we performed genome‐wide CNV detection using Illumina Bovine HD BeadChip (770k) data on 792 Simmental cattle. A total of 263 CNV regions (CNVRs) were identified, which included 137 losses, 102 gains and 24 regions classified as both loss and gain, covering 35.48 Mb (1.41%) of the bovine genome. The length of these CNVRs ranged from 10.18 kb to 1.76 Mb, with an average length of 134.78 kb and a median length of 61.95 kb. In 136 of these regions, a total of 313 genes were identified related to biological functions such as transmembrane activity and olfactory transduction activity. To validate the results, we performed quantitative PCR to detect nine randomly selected CNVRs and successfully confirmed seven (77.6%) of them. Our results present a map of cattle CNVs derived from high‐density SNP data, which expands the current CNV map of the cattle genome and provides useful information for investigation of genomic structural variation in cattle.