W194
Genomic Diversity of Native Switchgrass Populations in the United States as Revealed by Exome Capture Sequencing

Date: Sunday, January 10, 2016
Time: 8:00 AM
Room: Golden West
C. Robin Buell , Department of Plant Biology and DOE Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI
Joseph Evans , Department of Plant Biology and DOE Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI
Brieanne Vaillancourt , Department of Plant Biology and DOE Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI
Emily Crisovan , Department of Plant Biology and DOE Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI
Kerrie W. Barry , DOE Joint Genome Institute, Walnut Creek, CA
Chris Daum , Joint Genome Institute, Walnut Creek, CA
Jerry Jenkins , HudsonAlpha Institute for Biotechnology, Huntsville, AL
Govindarajan Kunde-Ramamoorthy , DOE Joint Genome Institute, Walnut Creek, CA
Rachael Hume , Michigan State University, East Lansing, MI
Aruna Nandety , Noble Foundation, Ardmore, OK
Ananta Acharya , University of Georgia, Athens, GA
Chew Yee Ngan , DOE Joint Genome Institute, Walnut Creek, CA
Qingzhen Jiang , The Samuel Roberts Noble Foundation, Ardmore, OK
Chia-Lin Wei , DOE Joint Genome Institute, Walnut Creek, CA
Jeremy Schmutz , HudsonAlpha Institute for Biotechnology, Huntsville, AL
E. Charles Brummer , University of California, Davis, Davis, CA
Shawn Kaeppler , Department of Agronomy and DOE Great Lakes Bioenergy Research Center, University of Wisconsin - Madison, Madison, WI
Michael Casler , USDA Dairy Forage Research Center, Madison, WI
Switchgrass (Panicum virgatum) is a perennial grass native to North and Central America that has been cultivated for forage and soil conservation, and recently as a biofuel production crop. Switchgrass is divided into two ecotypes (lowland and upland) based on habitat, genome ploidy, and phenotype with upland accessions generally accumulating lower biomass than lowland accessions, yet capable of overwintering in low temperatures that cause stand failure in lowland switchgrass. Using an exome capture sequencing approach, we sequenced three population panels of switchgrass (Northern Association, Southern Association, Supplemental Southern Association), representing a total of 1169 individuals across 140 populations.  We were able to identify ~1.9 million bi-allelic single nucleotide polymorphic (SNP) loci with coverage in all 1169 individuals. These loci were used to construct a genetic distance dendogram and identify population structure, revealing a total of 10 predicted switchgrass population groups, including a previously un-observed lowland central population group in the Louisiana region, a group in the central mid-west region, and a group in southern Florida. Structural variation was also present within the overall panel with 265,486 total copy number variants (CNVs), which when used in genetic distance estimations, were reflective of SNP-derived genetic relationships. Comparative analyses between upland and lowland populations revealed CNVs restricted to the two ecotypes, indicating a shared loss or duplication event.  Additional analyses on genome variation between upland and lowland ecotypes are underway to link genes and alleles with phenotypes relevant to biofuel feedstock production.