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ARS Home » Southeast Area » Stuttgart, Arkansas » Dale Bumpers National Rice Research Center » Research » Publications at this Location » Publication #320728
Title: Unlocking the variation hidden in rice germplasm collections with genomics

Author
item Eizenga, Georgia
item SHAKIBA, EHSAN - University Of Arkansas
item Edwards, Jeremy
item Baldo, Angela
item KORNILIEV, PAVEL - Cornell University
item MCCOUCH, SUSAN - Cornell University

Submitted to: Agronomy Society of America, Crop Science Society of America, Soil Science Society of America Meeting
Publication Type: Abstract Only
Publication Acceptance Date: 9/30/2015
Publication Date: 11/1/2015
Citation: Eizenga, G.C., Shakiba, E., Edwards, J., Baldo, A.M., Korniliev, P., Mccouch, S.R. 2015. Unlocking the variation hidden in rice germplasm collections with genomics. Agronomy Society of America, Crop Science Society of America, Soil Science Society of America Meeting. . In: Abstracts, Annual Meeting, ASA-CSSA-SSSA, Minneapolis, MN 15-18 November 2015. Available at: https://scisoc.confex.com/scisoc/2015am/webprogram/Paper92079.html Paper 92079.

Interpretive Summary:

Technical Abstract: Cultivated Asian rice (Oryza sativa) was domesticated from O. rufipogon (O. nivara). The O. sativa subspecies indica and japonica diverged in ancient times, and based on DNA markers, further subdivided into the five major subpopulations, aus, indica, aromatic, tropical japonica and temperate japonica. Recently, five O. sativa diversity panels were genotyped with SNP markers using either a high density rice array (HDRA) composed of 700,000 SNPs, whole genome resequencing resulting in 1.8 to 2.6 million SNPs, or genotyping-by-sequencing. This resulted in a wealth of public genomic data that could be put to work to explore population structure, introgressed regions and identify putative genes underlying traits of agronomic importance. We will demonstrate the power of genome-wide association (GWA) mapping for seedling germination under cold temperature utilizing the “Rice Diversity Panel 1” (RDP1) composed of over 400 O. sativa accessions. We have created an in-house database and genome browser from these publically available data resources to explore the QTL regions identified by GWA mapping and identify candidate genes, determine haplotypes unique to each subpopulation associated with QTL, and compare results to previous GWA mapping studies using other diversity panels and bi-parental QTL mapping studies. To increase the power of GWA mapping and better utilize the genotypes available, the diversity panel identified as “RDP2” consisting of 1,400 O. sativa accessions and genotyped with HDRA was imported from IRRI and will be available through the Genetic Stocks-Oryza (GSOR) in about a year. Similarly, GWA mapping is being conducted with a collection of approximately 100 O. rufipogon (O. nivara) accessions, genotyped with HDRA and evaluated for agronomic, morphological, seed, and disease traits to identify potential novel genes lost during domestication.