Recent developments in highly parallel genome-wide studies are transforming the association of human health and diseases. In these studies, multiple SNP loci from large amount of samples need to be investigated to obtain a result with a high degree of confidence. Herein, we describe a novel, cost-effective and automated method for high-throughput single nucleotide polymorphisms (SNPs) genotyping based on universal tagged array and magnetic separation. By using two kinds of functionalized magnetic nanoparticles, the whole operation procedure including genome DNA extraction and SNP genotyping can be automatically performed by JANUS automated workstation (Perkin Elmer Inc.). Four different SNPs loci from 80 samples were scored using only one pair of universal dual-color probes, the phase of numerous SNPs can be automated assessed simultaneously. The results demonstrated that the expected scores and good discrimination were obtained between the two alleles from these four SNP loci. Due to adequately taking the advantages of high parallel read-out and intrinsically scalable properties of microarray, and the automated magnetic separation handling technology is highly adaptable fro multiplexing sample preparation and automated SNP analysis, also avoid the complex procedure including purification and concentration, the new strategy is high-throughput, simple, flexible, cost-effective, and will be very suitable for large-scale genotyping.

The high SNP discrimination ratio of 360 : 1, 100% target-specific hybridization at 25 °C, detection limit of 10 copies, and differentiation of 10 to 10 copies of the PCR product of high-risk HPV genotypes in clinical samples ensure the application of the 9G membrane in a convenient platform for DNA genotyping.

ABSTRACT:

BACKGROUND: High density genetic maps built with SNP markers that are polymorphic in various genetic backgrounds are very useful for studying the genetics of agronomical traits as well as genome organization and evolution. Simultaneous dense SNP genotyping of segregating populations and variety collections was applied to oilseed rape (Brassica napus L.) to obtain a high density genetic map for this species and to study the linkage disequilibrium pattern.

RESULTS:

We developed an integrated genetic map for oilseed rape by high throughput SNP genotyping of four segregating doubled haploid populations. A very high level of collinearity was observed between the four individual maps and a large number of markers (>59%) was common to more than two maps. The precise integrated map comprises 5764 SNP and 1603 PCR markers. With a total genetic length of 2250 cM, the integrated map contains a density of 3.27 markers (2.56 SNP) per cM. Genotyping of these mapped SNP markers in oilseed rape collections allowed polymorphism level and linkage disequilibrium (LD) to be studied across the different collections (winter vs spring, different seed quality types) and along the linkage groups. Overall, polymorphism level was higher and LD decayed faster in spring than in “00” winter oilseed rape types but this was shown to vary greatly along the linkage groups.

CONCLUSIONS:

Our study provides a valuable resource for further genetic studies using linkage or association mapping, for marker assisted breeding and for Brassica napus sequence assembly and genome organization analyses.