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ARS Home » Midwest Area » Columbia, Missouri » Plant Genetics Research » Research » Publications at this Location » Publication #66237
Title: INTEGRATING QTL INFORMATION INTO MAIZEDB

Author
item Byrne, Patrick
item Coe Jr, Edward
item POLACCO, MARY
item Davis, Georgia
item BERLYN, MARY - YALE UNIVERSITY

Submitted to: Plant Genome Conference Proceedings
Publication Type: Abstract Only
Publication Acceptance Date: 1/14/1996
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: 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 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, restriction fragment length polymorphism marker loci, complimentary DNAs, 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 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.