Genomic Diversity and Sequence-Based Association Analyses in Medicago truncatula

Tiffin, Peter

Date: Sunday, January 15, 2012
Time: 8:40 AM

Room: Pacific Salon 1

Peter Tiffin , University of Minnesota, Saint Paul, MN

Tim Paape , University of Minnesota, Saint Paul, MN

John Stanton_Geddes , University of Minnesota, Saint Paul, MN

Jeremy Yoder , University of Minnesota, Saint Paul, MN

Brendan Epstein , University of Minnesota, Saint Paul, MN

Joann Mudge , National Center for Genome Resources, Santa Fe, NM

Andrew Farmer , National Center for Genome Resources, Santa Fe, NM

Peng Zhou , University of Minnesota, Saint Paul, MN

Gregory D. May , National Center for Genome Resources (NCGR), Santa Fe, NM

Roman Briskine , University of Minnesota, Saint Paul, MN

Mike Sadowsky , University of Minnesota, Saint Paul, MN

Nevin Young , University of Minnesota, Saint Paul, MN

We used Illumina technology to resequence the genomes of 26 individuals to ~ 30X coverage and used these data to characterize nucleotide variation segregating and search for targets of recent adaptive evolution within M. truncatula. We also sequenced more than 250 M. truncatula individuals to ~6X coverage and used these data to conduct association analyses to look for nucleotide polymorphisms that contribute to variation in economically and ecologically important traits include plant size, nodule number, nodule size, and rhizobia specificity. Using whole-genome sequence data for the association analyses allow us to explore the effects of linkage disequilibrium and allele frequency on statistical associations. Many of the SNPs identified through the association analyses are in genes with known or likely effects on the phenotypes, suggesting that association approaches may be effective for characterizing the genetic basis of phenotypic variation in this model legume.

W439 Genomic Diversity and Sequence-Based Association Analyses in Medicago truncatula