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MAGIC populations in crops: current status and future prospects
- Source :
- Theoretical and Applied Genetics. 128:999-1017
- Publication Year :
- 2015
- Publisher :
- Springer Science and Business Media LLC, 2015.
-
Abstract
- 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.
- Subjects :
- Crops, Agricultural
Genotype
Exploit
Genetic Linkage
media_common.quotation_subject
Quantitative Trait Loci
Population
Breeding
Biology
Genetic variation
Genetics
education
Crosses, Genetic
media_common
education.field_of_study
Genetic diversity
business.industry
Magic (programming)
Chromosome Mapping
Genetic Variation
Agriculture
Epistasis, Genetic
General Medicine
Data science
Biotechnology
Phenotype
Trait
business
Agronomy and Crop Science
Diversity (politics)
Subjects
Details
- ISSN :
- 14322242 and 00405752
- Volume :
- 128
- Database :
- OpenAIRE
- Journal :
- Theoretical and Applied Genetics
- Accession number :
- edsair.doi.dedup.....51c8df4676f61f675223df598382a1e2
- Full Text :
- https://doi.org/10.1007/s00122-015-2506-0