Artificial Selection Response due to Polygenic Adaptation from a Multilocus, Multiallelic Genetic Architecture

Abstract

The ability of a population to adapt to changes in their living conditions, whether in nature or captivity, often depends on polymorphisms in multiple genes across the genome. In-depth studies of such polygenic adaptations are difficult in natural populations, but can be approached using the resources provided by artificial selection experiments. Here, we dissect the genetic mechanisms involved in long-term selection responses of the Virginia chicken lines, populations that after 40 generations of divergent selection for 56-day body weight display a 9-fold difference in the selected trait. In the F-15 generation of an intercross between the divergent lines, 20 loci explained > 60% of the additive genetic variance for the selected trait. We focused particularly on fine-mapping seven major QTL that replicated in this population and found that only two fine-mapped to single, bi-allelic loci; the other five contained linked loci, multiple alleles or were epistatic. This detailed dissection of the polygenic adaptations in the Virginia lines provides a deeper understanding of the range of different genome-wide mechanisms that have been involved in these long-term selection responses. The results illustrate that the genetic architecture of a highly polygenic trait can involve a broad range of genetic mechanisms, and that this can be the case even in a small population bred from founders with limited genetic diversity.

Keywords

genetic variation; epistasis; multiallelic; genetic architecture; multilocus; polygenic adaptation

Published in

Molecular Biology and Evolution
2017, volume: 34, number: 10, pages: 2678-2689
Publisher: OXFORD UNIV PRESS

SLU Authors

• Zan, Yanjun

  • Uppsala University

• Sheng, Zheya

  • Department of Clinical Sciences, Swedish University of Agricultural Sciences
    
  • Huazhong Agricultural University

• Rönnegård, Lars

  • Department of Animal Biosciences, Swedish University of Agricultural Sciences
    
  • Department of Clinical Sciences, Swedish University of Agricultural Sciences
    
  • Dalarna University

• Lillie, Mette

  • Uppsala University

• Carlborg, Örjan

  • Uppsala University

UKÄ Subject classification

Genetics and Breeding in Agricultural Sciences

Publication identifier

• DOI: https://doi.org/10.1093/molbev/msx194

Permanent link to this page (URI)

https://res.slu.se/id/publ/92753