W903
Using skim-based genotyping by sequencing for trait association and QTL cloning in Brassica napus

Date: Sunday, January 11, 2015
Time: 9:00 AM
Room: Town and Country
Philipp Emanuel Bayer , University of Queensland, Brisbane, Australia
Pradeep Ruperao , University of Western Australia, Brisbane, Australia
Annaliese S. Mason , University of Queensland, Brisbane, QLD, Australia
Jiri Stiller , CSIRO Plant Industry, Brisbane, Australia
Kenneth Chan , University of Queensland, Brisbane, Australia
Satomi Hayashi , University of Queensland, Brisbane, Australia
Salman Alamery , University of Queensland, St Lucia, Australia
Reece Tollenaere , University of Queensland, St. Lucia, Queensland, Australia
Paul Visendi , University of Brisbane, Brisbane, Australia
Yan Long , National Key Lab. of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
Jinling Meng , National Key Lab. of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
Tim Sutton , Australian Center for Plant Functional Genomics, Adelaide, Australia
Rajeev K Varshney , ICRISAT, Hyderabad, India
Jacqueline Batley , University of Queensland, Brisbane, Australia
David Edwards , University of Western Australia, Perth, Australia
Trait mapping using SNPs has become one of the standard methods of modern biology, however the methods for SNP genotyping are being revolutionized by next generation DNA sequencing.

Here, we present a genotyping-by-sequencing approach called SkimGBS which uses low-coverage whole genome sequencing to call genotypes. The resolution of genotyping is highly flexible, making the approach useful for high resolution recombination mapping, the construction of genetic maps, trait association studies and genome structure validation.

We demonstrate the application of SkimGBS in canola (Brassica napus) by the production of a recombination map for all 19 chromosomes, determining the density of crossovers and non-crossover events and the association of genomic regions with agronomic traits.

Back to: QTL Cloning
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