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Title: A HIGH-RESOLUTION MAIZE MAP BASED ON A RANDOMLY INTERMATED B73 X MO17 POPULATION

Author
item DAVIS, G - UNIV OF MISSOURI
item MUSKET, T - UNIV OF MISSOURI
item MELIA-HANCOCK, S - UNIV OF MISSOURI
item SHAROPOVA, N - UNIV OF MISSOURI
item McMullen, Michael
item SANCHEZ-VILLEDA, H - UNIV OF MISSOURI
item Schaeffer, Mary
item Guill, Katherine
item CONE, K - UNIV OF MISSOURI
item 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: DAVIS, G., MUSKET, T., MELIA-HANCOCK, S., SHAROPOVA, N., MCMULLEN, M.D., SANCHEZ-VILLEDA, H., POLACCO, M.L., HOUCHINS, K.E., CONE, K., COE JR, E.H. A HIGH-RESOLUTION MAIZE MAP BASED ON A RANDOMLY INTERMATED B73 X MO17 POPULATION. MAIZE GENETICS CONFERENCE. 2002. ABSTRACT. P. 76.

Interpretive Summary:

Technical Abstract: A high-resolution genetic map of Zea mays L. was constructed using 302 lines derived from a cross of B73 x Mo17 followed by four generations of random intermating. The resolution of the Tx303 x CO159 Immortalized F2 population is 16.8-fold less than the 0.05 cM resolution of this mapping population. The Intermated B73 x Mo17 (IBM) map contains both RFLP and SSR markers. One thousand six RFLP and 804 SSR loci were used to construct the map. A portion of the RFLP and SSR loci will serve as reference points to the prior public genetic maps. The novel RFLP markers are derived from two sources, a new Pst I genomic library (mmp loci) and a group of Mu-tagged clones for genes with seed development (ufg loci). Novel SSR markers were derived by mining public sequence data and from enriched libraries (umc's greater than or equal to 1000). Seventy-three percent of the SSR loci were developed as part of the Maize Mapping Project. The map includes 129 loci probed by non-maize clones that will aid in alignments between different grass maps. The 2.9-fold increase in recombinants per line closely approximates the 3-fold theoretical expectation. This map is being aligned with the maize physical map through both hybridization-based and PCR assays. A subset of 94 lines have been identified as a public mapping resource for individual investigators. A subset of marker data for QTL analysis is also being developed.