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Polygenic adaptation: a unifying framework to understand positive selection.
Barghi, Neda; Hermisson, Joachim; Schlötterer, Christian.
Affiliation
  • Barghi N; Institut für Populationsgenetik, Vetmeduni Vienna, Vienna, Austria.
  • Hermisson J; Mathematics and BioSciences Group, Faculty of Mathematics and Max Perutz Labs, University of Vienna, Vienna, Austria. joachim.hermisson@univie.ac.at.
  • Schlötterer C; Institut für Populationsgenetik, Vetmeduni Vienna, Vienna, Austria. christian.schloetterer@vetmeduni.ac.at.
Nat Rev Genet ; 21(12): 769-781, 2020 12.
Article in En | MEDLINE | ID: mdl-32601318
Most adaption processes have a polygenic genetic basis, but even with the recent explosive growth of genomic data we are still lacking a unified framework describing the dynamics of selected alleles. Building on recent theoretical and empirical work we introduce the concept of adaptive architecture, which extends the genetic architecture of an adaptive trait by factors influencing its adaptive potential and population genetic principles. Because adaptation can be typically achieved by many different combinations of adaptive alleles (redundancy), we describe how two characteristics - heterogeneity among loci and non-parallelism between replicated populations - are hallmarks for the characterization of polygenic adaptation in evolving populations. We discuss how this unified framework can be applied to natural and experimental populations.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Selection, Genetic / Adaptation, Biological Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: Nat Rev Genet Journal subject: GENETICA Year: 2020 Document type: Article Affiliation country: Austria Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Selection, Genetic / Adaptation, Biological Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: Nat Rev Genet Journal subject: GENETICA Year: 2020 Document type: Article Affiliation country: Austria Country of publication: Reino Unido