Design and development of exome capture sequencing for the domestic pig (Sus scrofa) |
| |
Authors: | Christelle Robert Pablo Fuentes-Utrilla Karen Troup Julia Loecherbach Frances Turner Richard Talbot Alan L Archibald Alan Mileham Nader Deeb David A Hume Mick Watson |
| |
Institution: | .The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Edinburgh, EH25 9RG UK ;.Edinburgh Genomics, University of Edinburgh, Easter Bush, Edinburgh, EH25 9RG UK ;.Genus plc, 1525 River Road, DeForest, WI 53532 USA ;.Genus plc, 100 Bluegrass Commons Blvd. Suite 2200, Hendersonville, TN 37075 USA |
| |
Abstract: | BackgroundThe domestic pig (Sus scrofa) is both an important livestock species and a model for biomedical research. Exome sequencing has accelerated identification of protein-coding variants underlying phenotypic traits in human and mouse. We aimed to develop and validate a similar resource for the pig.ResultsWe developed probe sets to capture pig exonic sequences based upon the current Ensembl pig gene annotation supplemented with mapped expressed sequence tags (ESTs) and demonstrated proof-of-principle capture and sequencing of the pig exome in 96 pigs, encompassing 24 capture experiments. For most of the samples at least 10x sequence coverage was achieved for more than 90% of the target bases. Bioinformatic analysis of the data revealed over 236,000 high confidence predicted SNPs and over 28,000 predicted indels.ConclusionsWe have achieved coverage statistics similar to those seen with commercially available human and mouse exome kits. Exome capture in pigs provides a tool to identify coding region variation associated with production traits, including loss of function mutations which may explain embryonic and neonatal losses, and to improve genomic assemblies in the vicinity of protein coding genes in the pig.Electronic supplementary materialThe online version of this article (doi:10.1186/1471-2164-15-550) contains supplementary material, which is available to authorized users. |
| |
Keywords: | |
|
|