|Guill, Katherine - Kate|
|Coe Jr, Edward|
Submitted to: Maize Genetics Conference Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 3/14/2002
Publication Date: 3/14/2002
Citation: MUSKET, T., DAVIS, G., MELIA-HANCOCK, S., SHAROPOVA, N., HOUCHINS, K.E., MCMULLEN, M.D., CONE, K., POLACCO, M.L., SACHS, M., COE JR, E.H. IBM MAIZE COMMUNITY RESOURCES. MAIZE GENETICS CONFERENCE. 2002. ABSTRACT. P. 80. Interpretive Summary:
Technical Abstract: The Maize Mapping Project is funded to develop a physical map of maize that will be anchored to the genetic map by molecular and trait markers, to develop data management resources allowing for analysis and curation, and to provide accessibility to the public of all of the resources developed through this project. A high-resolution genetic map of maize has been created using the Intermated B73 x Mo17 (IBM) mapping population. The population underwent random-mating for four generations resulting in a theoretical 3-fold increase in recombination events. One thousand six RFLP and 804 SSR loci, both previously mapped markers and novel markers, were placed on 302 IBM lines to construct this map. Restriction Fragment Length Polymorphism and SSR markers previously mapped will allow a bridge for comparison of other genetic maps to the IBM map. Novel single-copy RFLP markers were developed from a new PstI genomic library (mmp loci) and from a group of Mu-tagged clones for genes associated with seed development (ufg loci). Novel SSR markers were derived by mining public sequence data and from enriched libraries (umc greater than or equal to 1000 loci). Illustrations and text files of the IBM genetic map are available through the project web site at: http://www.maizemap.org. Screening images of both the RFLP and the SSR markers are also available on-line as well as the SSR primer sequences. To facilitate public use of this mapping population, a sub-set of 94 lines has been selected and is available to those researchers interested in adding additional markers. Researchers can obtain seed of this 94 line sub-set to grow themselves, seed of the entire 302 lines, or DNA of the 94 line sub-set for PCR-based mapping. New data collected from the sub-set of 94 lines can be submitted to an on-line mapping tool so researchers can analyze data themselves. A sub-set of map scores will also be available specifically for QTL mapping. Funded by NSF Plant Genome Grant DBI 9872655.