Dense genetic maps are critical tools for plant breeders and geneticists. While many maps have been developed for sunflower in the last few decades, most have been based on lowthroughput technologies and include marker numbers in the hundreds. However, two maps with reasonably dense coverage of about 5000 and 9000 single nucleotide polymorphism (SNP) loci each have recently been produced using high-throughput genotyping methods. Unfortunately, no mapping population is common between the two maps, making the development of a joint map a challenge. With genome sequencing and resequencing of mapping populations currently in progress, there will be opportunities in the near future to develop much more informative resources. In the meantime, there is much demand from the sunflower community, particularly plant breeders, to combine these two maps to develop a denser map for immediate needs. In this paper, we used an in silico approach to join the two SNP maps by placing our existing marker sequences on draft genome scaffolds. Genetic map positions of the markers were determined from a resequenced mapping population aligned to the same draft genome scaffolds. In this way, we were able to directly place 10,247 SNP and insertion-deletion (Indel) loci on a common linkage map, and also provide the ability to infer genetic position of a further 6724 SNP loci from both previously published maps. These results will allow researchers to compare previous genetics research conducted on the separate maps, and facilitate collaborative work on marker-assisted breeding approaches in sunflower.
The full publication, along with any related materials, may be obtained by directly contacting Brent Hulke.