Conventional marker-based genotyping platforms are widely available, but not without their limitations. In this context, we developed Sequence-Based Genotyping (SBG), a technology for simultaneous marker discovery and co-dominant scoring, using next-generation sequencing. SBG offers users several advantages including a generic sample preparation method, a highly robust genome complexity reduction strategy to facilitate de novo marker discovery across entire genomes, and a uniform bioinformatics workflow strategy to achieve genotyping goals tailored to individual species, regardless of the availability of a reference sequence. The most distinguishing features of this technology are the ability to genotype any population structure, regardless whether parental data is included, and the ability to co-dominantly score SNP markers segregating in populations. To demonstrate the capabilities of SBG, we performed marker discovery and genotyping in Arabidopsis thaliana and lettuce, two plant species of diverse genetic complexity and backgrounds. Initially we obtained 1,409 SNPs for arabidopsis, and 5,583 SNPs for lettuce. Further filtering of the SNP dataset produced over 1,000 high quality SNP markers for each species. We obtained a genotyping rate of 201.2 genotypes/SNP and 58.3 genotypes/SNP for arabidopsis (n = 222 samples) and lettuce (n = 87 samples), respectively. Linkage mapping using these SNPs resulted in stable map configurations. We have therefore shown that the SBG approach presented provides users with the utmost flexibility in garnering high quality markers that can be directly used for genotyping and downstream applications. Until advances and costs will allow for routine whole-genome sequencing of populations, we expect that sequence-based genotyping technologies such as SBG will be essential for genotyping of model and non-model genomes alike.

A collection of 1373 unique flanking sequence tags (FSTs), generated from Ac/Ds and Ac transposon lines for reverse genetics studies, were produced in japonica and indica rice, respectively. The Ds and Ac FSTs together with the original T-DNAs were assigned a position in the rice genome sequence represented as assembled pseudomolecules, and found to be distributed evenly over the entire rice genome with a distinct bias for predicted gene-rich regions. The bias of the Ds and Ac transposon inserts for genes was exemplified by the presence of 59% of the inserts in genes annotated on the rice chromosomes and 41% present in genes transcribed as disclosed by their homology to cDNA clones. In a screen for inserts in a set of 75 well annotated transcription factors, including homeobox-containing genes, we found six Ac/Ds inserts. This high frequency of Ds and Ac inserts in genes suggests that saturated knockout mutagenesis in rice using this strategy will be efficient and possible with a lower number of inserts than expected. These FSTs and the corresponding plant lines are publicly available through OrygenesDB database and from the EU consortium members.

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