The utility of genomic prediction models in evolutionary genetics
| Autor: | Suzanne E. McGaugh, Lex E. Flagel, Aaron J. Lorenz |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Animal breeding
Genome General Immunology and Microbiology Genotype Models Genetic Human evolutionary genetics Special Feature Microevolution Context (language use) General Medicine Quantitative genetics Genomics Biology Best linear unbiased prediction Breeding Polymorphism Single Nucleotide General Biochemistry Genetics and Molecular Biology Genetic architecture Phenotype Evolutionary biology Animals Humans General Agricultural and Biological Sciences Selection (genetic algorithm) General Environmental Science |
| Zdroj: | Proc Biol Sci |
| ISSN: | 1471-2954 |
| Popis: | Variation in complex traits is the result of contributions from many loci of small effect. Based on this principle, genomic prediction methods are used to make predictions of breeding value for an individual using genome-wide molecular markers. In breeding, genomic prediction models have been used in plant and animal breeding for almost two decades to increase rates of genetic improvement and reduce the length of artificial selection experiments. However, evolutionary genomics studies have been slow to incorporate this technique to select individuals for breeding in a conservation context or to learn more about the genetic architecture of traits, the genetic value of missing individuals or microevolution of breeding values. Here, we outline the utility of genomic prediction and provide an overview of the methodology. We highlight opportunities to apply genomic prediction in evolutionary genetics of wild populations and the best practices when using these methods on field-collected phenotypes. |
| Databáze: | OpenAIRE |
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