Abstract

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.

Highlights

  • Single Nucleotide Polymorphisms (SNPs) can be used as genetic markers for applications such as genetic diversity studies or genetic mapping

  • Design of the pea Illumina Veracode 384 SNP set Genomic sequence information was obtained in our labs for 334 different genes using 2 to 12 different genotypes

  • The pea Illumina GoldenGate assay consisted of 346 SNP with a designability rank of 1 and 38 SNP with a rank of 0.5

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Summary

Introduction

Single Nucleotide Polymorphisms (SNPs) can be used as genetic markers for applications such as genetic diversity studies or genetic mapping. A broad range of DNA markers has been developed in Pisum including microsatellite [6,7], retrotransposon-based [8], and geneanchored markers [9,10,11,12] These markers have been used for diverse purposes: to build consensus genetic maps [7,11,13], survey genetic diversity [14,15,16,17], and detect Quantitative Trait Loci (QTLs) [18,19,20]. Retrotransposon-based markers reveal numerous loci at Different genotyping technologies have recently been developed to take advantage of the wealth of Single Nucleotide Polymorphisms (SNP) present in all eukaryotic genomes. Zhu et al [25] reported a frequency of nucleotide change of one SNP every 270

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