P0082
Application of Genotyping-by-Sequencing (GBS) in Livestock and Aquaculture Species

Ken G Dodds , AgResearch Ltd. Invermay Agricultural Centre, Dunedin, New Zealand
John McEwan , AgResearch Ltd. Invermay Agricultural Centre, Dunedin, New Zealand
Rudiger Brauning , AgResearch Ltd. Invermay Agricultural Centre, Dunedin, New Zealand
Tracey Van Stijn , AgResearch Ltd. Invermay Agricultural Centre, Dunedin, New Zealand
Rayna Anderson , AgResearch Ltd. Invermay Agricultural Centre, Dunedin, New Zealand
Theódór Kristjánsson , Stofnfiskur hf., 221 Hafnarfjordu, Iceland
Suzanne Rowe , AgResearch Ltd. Invermay Agricultural Centre, Dunedin, New Zealand
Shannon Clarke , AgResearch Ltd. Invermay Agricultural Centre, Dunedin, New Zealand
Advances in next generation sequencing technology have increased the output/cost ratio to a level where cost effective genotyping-by-sequencing (GBS) in livestock, plants and aquaculture species is now a reality. High-throughput GBS methodology produces SNP genotypes that are supported by varying depth of sequence reads, dependent on the number of samples and proportion of the genome assayed within a lane of sequencing. Although more samples per lane improves cost effectiveness, a balance is needed to achieve the required sequence read depth to support the SNP genotypes for use in downstream applications such as genetic diversity and differentiation, parentage assignment, inbreeding estimation, genomic selection and genome wide association studies. Here we present parentage assignments in deer and salmon (species with genome sizes of ~3Gb) that utilises GBS data, filtered for likely genotyping artefacts, and using an unbiased genomic relationship matrix adjusted for sequence read depth at each individual SNP location.