P003
Genome Diversity in Brachypodium distachyon: Deep Sequencing of Highly Diverse Inbred Lines

Date: Monday, January 13, 2014
Room: Grand Exhibit Hall
Sean Gordon , DOE Joint Genome Institute, Walnut Creek, CA
Henry D. Priest , Donald Danforth Plant Science Center, St. Louis, MO
David L. Des Marais , The University of Texas, Austin, TX
Wendy Schackwitz , DOE Joint Genome Institute, Walnut Creek, CA
Melania Figueroa , University of Minnesota, St. Paul, MN
Joel Martin , Lawrence Livermore National Laboratory
Jennifer Bragg , UC Davis, Albany, CA
Ludmila Tyler , Biochemistry and Molecular Biology Department, Amherst, MA
Cheng-Ruei Lee , Duke University, Dept. of Biology, Durham, NC
Doug Bryant , Donald Danforth Plant Science Center, Saint Louis, MO
Wenqin Wang , Waksman Institute, Rutgers University
Joachim Messing , Rutgers University, Piscataway, NJ
Antonio Manzaneda , Universidad de Jaen
Kerrie W. Barry , DOE Joint Genome Institute, Walnut Creek, CA
David F. Garvin , USDA-ARS, Plant Science Research Unit, St. Paul, MN
Hikmet Budak , Montana State University, Bozeman, MT
Metin Tuna , Namik Kemal University, Tekirdag, Turkey
Thomas Mitchell-Olds , Duke University, Dept. of Biology, Durham, NC
William F. Pfender , USDA-ARS, Forage Seed and Cereal Research Unit, Corvallis, OR
Thomas Juenger , University of Texas at Austin, Austin, TX
Todd C. Mockler , Donald Danforth Plant Science Center, Saint Louis, MO
John Vogel , USDA-ARS Western Regional Research Center, Albany, CA
Brachypodium distachyon is small annual grass that has been adopted as a model for the grasses. Its small genome, excellent reference genome, large germplasm collection, and selfing nature make it an excellent subject for studies of natural variation. We sequenced six divergent lines to identify a comprehensive set of polymorphisms and analyze their distribution and concordance with gene expression. Multiple methods and controls were utilized to identify polymorphisms and validate their quality. mRNA-Seq experiments under control and simulated drought-stress conditions, identified 300 genes with a genotype-dependent treatment response. We showed that large-scale sequence variants had extremely high concordance with altered expression of hundreds of genes, including many with genotype-dependent treatment responses. We generated a deep mRNA-Seq dataset for the most divergent line and created a de novo transcriptome assembly. This led to the discovery of >2,400 previously unannotated transcripts and hundreds of genes not present in the reference genome. We built a public database for visualization and investigation of sequence variants among these widely used inbred lines.