BackgroundHigh 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.ResultsWe 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.ConclusionsOur 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.

BackgroundSingle Nucleotide Polymorphisms (SNPs) can be used as genetic markers for applications such as genetic diversity studies or genetic mapping. New technologies now allow genotyping hundreds to thousands of SNPs in a single reaction.In order to evaluate the potential of these technologies in pea, we selected a custom 384-SNP set using SNPs discovered in Pisum through the resequencing of gene fragments in different genotypes and by compiling genomic sequence data present in databases. We then designed an Illumina GoldenGate assay to genotype both a Pisum germplasm collection and a genetic mapping population with the SNP set.ResultsWe obtained clear allelic data for more than 92% of the SNPs (356 out of 384). Interestingly, the technique was successful for all the genotypes present in the germplasm collection, including those from species or subspecies different from the P. sativum ssp sativum used to generate sequences. By genotyping the mapping population with the SNP set, we obtained a genetic map and map positions for 37 new gene markers.ConclusionOur results show that the Illumina GoldenGate assay can be used successfully for high-throughput SNP genotyping of diverse germplasm in pea. This genotyping approach will simplify genotyping procedures for association mapping or diversity studies purposes and open new perspectives in legume genomics.

Correlation between expression level of the bovine DNAJA1 gene and meat tenderness was recently found in Charolais longissimus thoracis muscle samples, suggesting that this gene could play an important role in meat tenderness. Here, we report the validation of polymorphisms within the bovine DNAJA1 gene, and the haplotype variability and extent of linkage disequilibrium in the three main French beef breeds (Blonde d'Aquitaine, Charolais, Limousin). Genotyping 18 putative SNPs revealed that 16 SNPs were polymorphic within the breeds tested. Two SNPs were removed from further analyses as one SNP had a low genotyping call rate, while the other SNP was not in Hardy-Weinberg equilibrium. The degree of heterozygosity observed for the remaining 14 SNPs varied between breeds, with Charolais being the breed with the highest genetic variation and Blonde d'Aquitaine the lowest. Linkage disequilibrium and haplotype structure of DNAJA1 were different between breeds. Eighteen different haplotypes, including three shared by all breeds, were discovered, and two to three tag SNPs (depending on the breed) are sufficient to capture all the genetic variability seen in these haplotypes. The results of this study will facilitate the design of optimal future association studies evaluating the role of the DNAJA1 gene in meat tenderness.