MAGIC populations in crops: current status and future prospects
MAGIC populations present novel challenges and opportunities in crops due to their complex pedigree structure. They offer great potential both for dissecting genomic structure and for improving breeding populations.
The past decade has seen the rise of multiparental populations as a study design offering great advantages for genetic studies in plants. The genetic diversity of multiple parents, recombined over several generations, generates a genetic resource population with large phenotypic diversity suitable for high-resolution trait mapping. While there are many variations on the general design, this review focuses on populations where the parents have all been inter-mated, typically termed Multi-parent Advanced Generation Intercrosses (MAGIC). Such populations have already been created in model animals and plants, and are emerging in many crop species. However, there has been little consideration of the full range of factors which create novel challenges for design and analysis in these populations. We will present brief descriptions of large MAGIC crop studies currently in progress to motivate discussion of population construction, efficient experimental design, and genetic analysis in these populations. In addition, we will highlight some recent achievements and discuss the opportunities and advantages to exploit the unique structure of these resources post-QTL analysis for gene discovery.
KeywordsQuantitative Trait Locus Quantitative Trait Locus Analysis Quantitative Trait Locus Mapping Collaborative Cross Marker Score
Many thanks to three anonymous reviewers for their helpful suggestions. Dr. Huang is the recipient of an Australian Research Council Discovery Early Career Researcher Award (Project Number DE120101127).
Conflict of interest
No authors have any conflicts of interest.
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