PAG-IV Plant Genome IV Conference

Town & Country Conference Center, San Diego, CA, January, 1995.

W34
Integrating QTL Information into MaizeDB

P.F. BYRNE(1), E.H. Coe(1), M.L. Polacco(1), G.L. Davis(1), and M.B. Berlyn(2)
1. USDA-ARS, University of Missouri, 310 Curtis Hall, Columbia, MO 65211, USA
2. Yale University, New Haven, CT, USA

One of the major payoffs of plant genome investigation will be the application of research results to the improvement of economic traits. Toward that goal, the Maize Genome Database (MaizeDB) project has attempted to document quantitative trait locus (QTL) studies and to integrate QTL results with other types of genetic information. The integration occurs primarily through two database entities: (1) the Locus category, in which are included QTL, loci defined by mutant phenotypes, RFLP marker loci, cDNAs, and other locus types; and (2) "bin" maps, which facilitate comparisons of map location, whether generated in QTL studies or other types of mapping research. On a bin map, a chromosome is divided into approximately equal segments, each about 20-30 cM long, to which loci are assigned without regard to their order within a bin. With increasing evidence of synteny among grass species, there is a growing interest in comparing QTL locations and effects detected in different species. The current status of across-species QTL searches of plant genome databases will be discussed.

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