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ARS Home » Plains Area » Lubbock, Texas » Cropping Systems Research Laboratory » Plant Stress and Germplasm Development Research » Research » Publications at this Location » Publication #325083
Title: Translational genomics for analysis of complex traits in peanut and sorghum

Author
item Chopra, Ratan
item BUROW, MARK - Texas Agrilife
item CHAGOYA, JENNIFER - Texas Agrilife
item SIMPSON, CHARLES - Texas Agrilife
item Burow, Gloria
item Jiao, Yinping
item Gladman, Nicholas
item Burke, John
item Xin, Zhanguo

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 1/18/2016
Publication Date: 1/18/2016
Citation: Chopra, R., Burow, M., Chagoya, J., Simpson, C., Burow, G.B., Jiao, Y., Gladman, N., Burke, J.J., Xin, Z. 2016. Translational genomics for analysis of complex traits in peanut and sorghum [abstract]. International Plant and Animal Genome, January 8-13, 2016, San Diego, California. Paper No. 21581.

Interpretive Summary:

Technical Abstract: The integration of sequencing and genotype data from natural variation studies (by whole genome resequencing [wgs] or genotype by sequencing [gbs]), transcriptome (RNA-seq) and mutant analysis (also by wgs) facilitated the development of DNA markers in the form of single nucleotide polymorphic (SNP) markers for crop improvement in peanut and sorghum. In peanut (Arachis sp), RNA-Seq was utilized to identify polymorphic SNPs in a cross between A. duranensis x A. cardenasii. Polymorphic SNPs were further used to develop a genetic map to identify QTLs for plant architectural traits including leaf measurements, main stem height, presence of main stem flowers, and seed weight. Validation of peanut architecture associated SNPs from this diploid population will be tested in populations of tetraploid peanuts. Meanwhile in sorghum, a genome wide association study for sorghum seedling stress was performed using GBS data and QTLs were identified for absorbance of flavonoids, shoot/root lengths, and shoot/root weights. SNPs associated with these traits in sorghum were screened in mutant germplasm and validated in recombinant inbred populations. WGS data from sorghum mutant resources were utilized for identification of major genes for important agronomic traits. The need for an integrated translational approach to identify agronomically beneficial genes and alleles in major crops including peanut and sorghum has just commenced, future work on identification of valuable SNP markers are vital for marker assisted breeding to become an integral part of germplasm enhancement.