W145 Differential Gene Expression Detected via Transcriptome Sequencing in Angus Steers Differing for Feed Efficiency

Date: Sunday, January 15, 2012
Time: 8:30 AM
Room: San Diego
Stephanie McKay , University of Missouri, Columbia, MO
Jae Woo Kim , University of Missouri, Columbia, MO
Richard Chapple , University of Missouri, Columbia, MO
Megan Rolf , University of Missouri, Columbia, MO
Duane Keisler , University of Missouri
John Garbe , University of Minnesota, St. Paul, MN
Scott C. Fahrenkrug , University of Minnesota, St. Paul, MN
Cedric Notredame , Centre de Regulacio Genomica (CRG), Barcelona, Spain
Roderic Guigo , Centre de Regulacio Genomica
Darek Kedra , Centre de Regulacio Genomica
Ionas Erb , Centre de Regulacio Genomica
David L. Adelson , University of Adelaide, Adelaide, Australia
Zhipeng Qu , University of Adelaide, Adelaide, SA, Australia
Kristen Taylor , University of Missouri
Charles Caldwell , University of Missouri
Kevin Wells , University of Missouri, Columba, MO
Robert Schnabel , University of Missouri, Columbia, MO
Jeremy Taylor , University of Missouri , Columbia, MO
The function and heritability of gene expression associated with economically important traits is being investigated in a population of Angus steers with extreme measures of residual feed intake (RFI).  RNA-Seq was performed using Illumina next generation sequencing technology and sequence reads were processed using NextGENe software (SoftGenetics, State College, PA).  Specifically, NextGENe was used for quality trimming and aligning the sequence reads to the UMD3.1 reference genome and generating counts of matched reads.  Differential expression analysis was performed using EdgeR software.  Genes found to be differentially expressed were then aligned with genome wide association analysis in order to determine if genomic regions that were found to be significantly associated with RFI harbor differentially expressed genes.