1. Genetic Dissection of Intermated Recombinant Inbred Lines Using a New Genetic Map of Maize
- Author
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Ling Guo, Yan Fu, Michael D. Lee, Patrick S. Schnable, Daniel Ashlock, Yefim Ronin, David Mester, Tsui-Jung Wen, Abraham B. Korol, Hsin D. Chen, and Yongjie Yang
- Subjects
Genetic Markers ,Molecular Sequence Data ,Quantitative Trait Loci ,Population ,Investigations ,Quantitative trait locus ,Biology ,Genes, Plant ,Zea mays ,Genome ,Chromosomes, Plant ,DNA sequencing ,Gene Frequency ,Genetics ,Allele ,education ,Allele frequency ,Alleles ,Crosses, Genetic ,Expressed Sequence Tags ,Recombination, Genetic ,education.field_of_study ,Polymorphism, Genetic ,Base Sequence ,Chromosome Mapping ,food and beverages ,Genetic marker ,Expression quantitative trait loci - Abstract
A new genetic map of maize, ISU–IBM Map4, that integrates 2029 existing markers with 1329 new indel polymorphism (IDP) markers has been developed using intermated recombinant inbred lines (IRILs) from the intermated B73 × Mo17 (IBM) population. The website http://magi.plantgenomics.iastate.edu provides access to IDP primer sequences, sequences from which IDP primers were designed, optimized marker-specific PCR conditions, and polymorphism data for all IDP markers. This new gene-based genetic map will facilitate a wide variety of genetic and genomic research projects, including map-based genome sequencing and gene cloning. The mosaic structures of the genomes of 91 IRILs, an important resource for identifying and mapping QTL and eQTL, were defined. Analyses of segregation data associated with markers genotyped in three B73/Mo17-derived mapping populations (F2, Syn5, and IBM) demonstrate that allele frequencies were significantly altered during the development of the IBM IRILs. The observations that two segregation distortion regions overlap with maize flowering-time QTL suggest that the altered allele frequencies were a consequence of inadvertent selection. Detection of two-locus gamete disequilibrium provides another means to extract functional genomic data from well-characterized plant RILs.
- Published
- 2006