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ARS Home » Midwest Area » Columbia, Missouri » Plant Genetics Research » Research » Publications at this Location » Publication #59464
Title: REPORTING AND ACCESSING QTL INFORMATION IN USDA'S MAIZE GENOME DATABASE

Author
item Byrne, Patrick
item BERLYN, MARY - YALE UNIV
item Coe Jr, Edward
item Davis, Georgia
item POLACCO, MARY
item HANCOCK, DENNIS - UNIV OF MO
item LETOVSKY, S - JOHNS HOPKINS UNIV

Submitted to: Journal of Quantitative Trait Loci
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 5/18/1995
Publication Date: N/A
Citation: N/A

Interpretive Summary: The development of molecular marker maps for chromosomes of important agricultural crops has permitted more precise investigation of the genetic control of quantitative traits than was previously possible. By relating molecular marker data to observations of trait expression, researchers can estimate the location and effects of the genes, or quantitative trait loci (QTL), which influence the trait of interest. Many research programs are conducting QTL studies on corn to better understand trait inheritance and to use the information to select more desirable inbred lines and hybrids. To enhance the utility and accessibility of the accumulating data, USDA's Maize Genome Database Project (MaizeDB) has developed structures and guidelines for storing QTL results and relevant background information, and making these data available on-line to the research community. The MaizeDB structure accommodates information on the chromosome location, statistical significance, and magnitude of QTL effects; the mapping population, molecular markers, and analysis methods used; summary parameters of the trait evaluation; and "raw" data sets. Availability of structured data will facilitate comparisons among different QTL studies, and between QTL information and results of classical and molecular genetic research. This article describes the organizational framework for QTL information in MaizeDB in order to provide guidelines to authors submitting QTL results and to orient users wishing to search the compiled QTL data.

Technical Abstract: Results of quantitative trait locus (QTL) studies on maize (Zea mays L.) are rapidly accumulating for many traits. To enhance the utility and accessibility of this data resource, USDA's Maize Genome Database Project (MaizeDB) has developed structures and guidelines for storing QTL results and relevant background information, and making these data available on-line to the research community. The MaizeDB structure accommodates information on the map location of detected QTL and their support intervals; statistical significance and effects of QTL; the mapping population and analysis methods used; summary parameters of the trait evaluation; and "raw" phenotypic and map score data. Availability of structured data will facilitate comparisons among QTL studies, and between QTL information and results of classical and molecular genetic research. This article describes the organizational framework for QTL information in MaizeDB in order to provide guidelines to authors submitting QTL results and to orient users wishing to search the compiled QTL data.