W144
The Use of PacBio and Hi-C Data in de novo Assembly of the Goat Genome

Date: Sunday, January 11, 2015
Time: 8:40 AM
Room: San Diego
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
Ivan Liachko , University of Washington - Department of Genome Sciences, Seattle, WA
Joshua N. Burton , University of Washington - Department of Genome Sciences, Seattle, WA
Brian Sayre , Virginia State University, Petersburg, VA
Heather J Huson , Cornell University, Ithaca, NY
Steven G. Schroeder , Animal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD
Curtis P. VanTassell , Animal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD
Tad S. Sonstegard , Animal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD
Generating de novo reference genome assemblies for non-model organisms is a laborious task that often requires a large amount of data from several sequencing platforms and cytogenetic surveys. By using PacBio sequence data and new library creation techniques, we present a de novo, high quality reference assembly for the goat (Capra hircus) that demonstrates a primarily sequencing-based approach to efficiently create new reference assemblies for Eukaryotic species. This goat reference genome was created using 38 million PacBio P5-C3 reads generated from a San Clemente goat using the Celera Assembler PBcR pipeline with PacBio read self-correction.  In order to generate the assembly, corrected and filtered reads were pre-assembled into a consensus model using PBDAGCON, and subsequently assembled using the Celera Assembly version 8.2. We generated 5,902 contigs using this method with a contig N50 size of 2.56 megabases. In order to generate chromosome-sized scaffolds, we used the LACHESIS scaffolding method to identify cis-chromosome Hi-C interactions in order to link contigs together. We then compared our new assembly to the existing goat reference assembly to identify large-scale discrepancies. In our comparison, we identified 247 disagreements between the two assemblies consisting of 123 inversions and 124 chromosome-contig relocations. The high quality of this data illustrates how this methodology can be used to efficiently generate new reference genome assemblies without the use of expensive fluorescent cytometry or large quantities of data from multiple sequencing platforms.