W754
Analysis of Natural Variation in Switchgrass and Maize at GLBRC

Date: Tuesday, January 14, 2014
Time: 5:20 PM
Room: Pacific Salon 1
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
C. Robin Buell , Department of Plant Biology and DOE Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI
Candice Hirsch , University of Minnesota, Saint Paul, MN
Joseph Evans , Department of Plant Biology and DOE Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI
Jeongwoon Kim , Michigan State Unviersity, 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
Natalia de Leon , University of Wisconsin-Madison, Madison, WI
PDF file
Dramatic natural phenotypic and genetic variation is present in biofuel grasses and related model systems. We are utilizing RNA sequencing and exome capture in switchgrass; and whole-genome resequencing, RNA-seq, and genotyping-by-sequencing in maize to characterize genetic variation. Diversity analysis is providing valuable information on genome content, sequence diversity, and relationships among genetic collections. QTL mapping and genome-wide association studies are revealing novel candidate genes for productivity and quality traits. Resources and research highlights will be discussed.
Back to: Plant Sciences at JGI
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