Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 3/30/2016
Publication Date: 4/2/2016
Citation: Burow, G.B., Chopra, R., Burke, J.J., Xin, Z. 2016. Integrated translational genomics for analysis of complex traits in sorghum [abstract]. Southern Section of American Society of Plant Biologists. Paper No. 48.
Technical Abstract: We will report on the integration of sequencing and genotype data from natural variation (by whole genome resequencing [wgs] or genotype by sequencing [gbs]), transcriptome (RNA-seq) and mutant analysis (also by wgs) with the goal of identifying genes controlling important agronomic traits and translating variants from these resources into useable DNA markers in the form of single nucleotide polymorphic (SNP) markers for crop improvement in sorghum. A genome wide association study for sorghum seedling stress was performed using RNA seq and GBS data, resulting in identification of quantitative trait loci (QTL) for flavonoids, shoot/root lengths, and shoot/root weights. SNPs associated with these traits in sorghum were screened in mutant germplasm and validated in a recombinant inbred population. To date there is an exponentially increasing amount of sequence and genotype data for major crops such as sorghum, and integrated studies through a translational genomics approach and pipeline for identification of valuable SNP markers are vital for marker assisted breeding to become an integral part of germplasm enhancement.