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Title: Compare Identity By Sequence Relationships of the Ames Diversity Panel using TYPSimSelector [abstract]

item MAUCH, EMILY - Iowa State University
item Andorf, Carson
item Millard, Mark
item ROMAY, CINTA - Iowa State University
item Buckler, Edward - Ed
item Gardner, Candice
item Lawrence, Carolyn

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 2/4/2013
Publication Date: 3/14/2013
Publication URL:
Citation: Mauch, E., Andorf, C.M., Millard, M.J., Romay, C., Buckler Iv, E.S., Gardner, C.A., Lawrence, C.J. 2013. Compare Identity By Sequence Relationships of the Ames Diversity Panel using TYPSimSelector [abstract]. In: Maize Genetics Conference, St. Charles, IL. Mar. 14-17, 2013. p. 55.

Interpretive Summary:

Technical Abstract: Maize genetic diversity has been exploited by mankind for 10,000 years. Scientific approaches applied to it by breeders for over a century transformed it into the world’s number one crop. Maize genomic diversity provides a rich resource of interest to evolutionary and population geneticists, constitutes the materials available for crop improvement, and enables investigation of the relationships between genetic variation and gene function. The Ames diversity panel is a set of approximately 2,500 inbred maize accessions primarily made available via the North Central Regional Plant Introduction Station (NCRPIS) in Ames, Iowa. The panel was interrogated with over 680,000 SNP markers to establish identity by sequence (IBS) relationships (Romay et al., 2013). These relationships are being compared using SQL queries in a MS SQL database developed by M. Millard at the NCRPIS. It has proven useful for examining relationships between lines based on user-defined IBS criteria, including identifying those most similar or divergent from a given line, and is currently being used to aid in management decisions for ex situ conservation of germplasm. A tool called TYPSimSelector is under development at MaizeGDB to enable web access by the maize research community. We invite you to visit this poster as well as the Diversity Data Center at to learn more and try it out!