Genetic Architecture of a Rice Nested Association Mapping Population
نویسندگان
چکیده
Describing the genetic diversity in the gene pool of crops will provide breeders with novel resources for varietal improvement. Nested Association Mapping (NAM) populations are uniquely suited for characterizing parental diversity through the shuffling and fixation of parental haplotypes. Here, we describe a set of 1879 rice NAM lines created through the selfing and single-seed descent of F1 hybrids derived from elite IR64 indica crossed with 10 diverse tropical japonica lines. Genotyping data indicated tropical japonica alleles were captured at every queried locus despite the presence of segregation distortion factors. Several distortion loci were mapped, both shared and unique, among the 10 populations. Using two-point and multi-point genetic map calculations, our datasets achieved the ∼1500 cM expected map size in rice. Finally, we highlighted the utility of the NAM lines for QTL mapping, including joint analysis across the 10 populations, by confirming known QTL locations for the trait days to heading.
منابع مشابه
Unveiling the genetic loci for a panicle developmental trait using genome-wide association study in rice
Panicle size has a high correlation with grain yield in rice. There is a bottleneck to identify the additional quantitative trait loci (QTL) for panicle size due to the conventional traits used for QTL mapping. To identify more genetic loci for panicle size, a panicle developmental trait (LNTB, the length from panicle neck-knot to the first primary branch in the rachis) related to panicle size ...
متن کاملCorrection: Genomic Selection and Association Mapping in Rice (Oryza sativa): Effect of Trait Genetic Architecture, Training Population Composition, Marker Number and Statistical Model on Accuracy of Rice Genomic Selection in Elite, Tropical Rice Breeding Lines
Citation: Spindel J, Begum H, Akdemir D, Virk P, Collard B, Redoña E, et al. (2015) Correction: Genomic Selection and Association Mapping in Rice (Oryza sativa): Effect of Trait Genetic Architecture, Training Population Composition, Marker Number and Statistical Model on Accuracy of Rice Genomic Selection in Elite, Tropical Rice Breeding Lines. PLoS Genet 11(6): e1005350. doi:10.1371/journal. p...
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