Selection of a core set of RILs from Forrest × Williams 82 to develop a framework map in soybean

Soybean BAC-based physical maps provide a useful platform for gene and QTL map-based cloning, EST mapping, marker development, genome sequencing, and comparative genomic research. Soybean physical maps for “Forrest” and “Williams 82” representing the southern and northern US soybean germplasm base,...

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Bibliographic Details
Published in:Theoretical and applied genetics 2011-04, Vol.122 (6), p.1179-1187
Main Authors: Wu, Xiaolei, Vuong, Tri D, Leroy, Jill A, Grover Shannon, J, Sleper, David A, Nguyen, Henry T
Format: Article
Language:English
Subjects:
Agriculture
Biochemistry
Biological and medical sciences
Biomedical and Life Sciences
Biotechnology
Classical genetics, quantitative genetics, hybrids
Cloning
Cultivars
Fundamental and applied biological sciences. Psychology
Genetics of eukaryotes. Biological and molecular evolution
Genomes
Germplasm
Life Sciences
Original Paper
Plant Biochemistry
Plant Breeding/Biotechnology
Plant Genetics and Genomics
Plant sciences
Polymorphism
Pteridophyta, spermatophyta
Seeds
Soybeans
Vegetals
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Summary:Soybean BAC-based physical maps provide a useful platform for gene and QTL map-based cloning, EST mapping, marker development, genome sequencing, and comparative genomic research. Soybean physical maps for “Forrest” and “Williams 82” representing the southern and northern US soybean germplasm base, respectively, have been constructed with different fingerprinting methods. These physical maps are complementary for coverage of gaps on the 20 soybean linkage groups. More than 5,000 genetic markers have been anchored onto the Williams 82 physical map, but only a limited number of markers have been anchored to the Forrest physical map. A mapping population of Forrest × Williams 82 made up of 1,025 F₈ recombinant inbred lines (RILs) was used to construct a reference genetic map. A framework map with almost 1,000 genetic markers was constructed using a core set of these RILs. The core set of the population was evaluated with the theoretical population using equality, symmetry and representativeness tests. A high-resolution genetic map will allow integration and utilization of the physical maps to target QTL regions of interest, and to place a larger number of markers into a map in a more efficient way using a core set of RILs.
ISSN:0040-5752
1432-2242
DOI:10.1007/s00122-010-1522-3