W440
Progress on the Reassembly and Annotation of the Goat Genome

Date: Monday, January 12, 2015
Time: 5:10 PM
Room: Sunrise - Meeting House
Steven G. Schroeder , Animal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD
Derek Bickhart , Animal Genomics and Improvement Laboratory, ARS-USDA, Beltsville, MD
Sergey Koren , National Human Genome Research Institute, Bethesda, MD
Adam Phillippy , National Human Genome Research Institute, Bethesda, MD
Timothy P.L. Smith , USDA, ARS, USMARC, Clay Center, NE
Joshua N. Burton , University of Washington - Department of Genome Sciences, Seattle, WA
Ivan Liachko , University of Washington - Department of Genome Sciences, Seattle, WA
Brian Sayre , Virginia State University, Petersburg, VA
Heather J Huson , Cornell University, Ithaca, NY
Curtis P. VanTassell , Animal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD
Tad S. Sonstegard , Animal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD
The goat (Capra hircus) remains an important livestock species due to the species’ ability to forage and provide milk, meat and wool in arid environments. The current goat reference assembly and annotation borrows heavily from other loosely related livestock species, such as cattle, and may not reflect the unique structural and functional characteristics of the species. We present preliminary data from a new de novo reference assembly for goat that primarily utilizes 38 million PacBio P5-C3 reads generated from an inbred San Clemente goat. This assembly consists of only 5,902 contigs with a contig N50 size of 2.56 megabases which were grouped into scaffolds using cis-chromosome associations generated by the analysis of Hi-C sequence reads. To provide accurate functional genetic annotation, we utilized existing RNA-seq data and generated new data consisting of over 784 million reads from a combination of 27 different developmental timepoints/tissues. This dataset provides a tangible improvement over existing goat genomics resources by correcting over 247 misassemblies in the current goat reference genome and by annotating predicted gene models with actual expressed transcript data. Our goal is to provide a high quality resource to researchers to enable future genomic selection and functional prediction within the field of goat genomics.