110-5 Expression Analysis Supporting Functional Genomics Research In Maize.



Monday, October 17, 2011: 3:20 PM
Henry Gonzalez Convention Center, Room 007B, River Level

Shawn Kaeppler1, Natalia De Leon2, Rajandeep Sekhon3, Candice Hansey4, C. Buell5, Haining Lin5 and Kevin Childs5, (1)Department of Agronomy, University of Wisconsin, Madison, WI
(2)Department of Agronomy, Iowa State University, Ames, IA
(3)University of Wisconsin, Madison, WI
(4)University of Wisconsin-Madison, Madison, WI
(5)Michigan State University, East Lansing, MI
Seed development and composition is an important determinant of grain yield and grain utilization. We have utilized recurrent selection populations, structured bi-parental populations, association panels, and qualitative mutants to characterize the genetic basis of endogenous variation for seed weight and composition in maize. This research has been supported by transcription analysis using RNAseq and microarrays, whole genome re-sequencing, high density genotyping using a genotype-by-sequencing approach, and high resolution mapping. In this presentation, I will describe the insights that we have gained through this research, and some of the challenges encountered in integrating genomic information.
See more from this Division: C07 Genomics, Molecular Genetics & Biotechnology
See more from this Session: Symposium--RNA Profiling Applications to Crop Improvement