Quantitative genetic analysis of brain size variation in sticklebacks: Support for the mosaic model of brain evolution

Kristina Noreikiene, Gábor Herczeg, Abigél Gonda, Gergely Balázs, Arild Husby, Juha Merilä

Research output: Contribution to journalArticle

26 Citations (Scopus)

Abstract

The mosaic model of brain evolution postulates that different brain regions are relatively free to evolve independently from each other. Such independent evolution is possible only if genetic correlations among the different brain regions are less than unity. We estimated heritabilities, evolvabilities and genetic correlations of relative size of the brain, and its different regions in the three-spined stickleback (Gasterosteus aculeatus). We found that heritabilities were low (average h2 ¼ 0.24), suggesting a large plastic component to brain architecture. However, evolvabilities of different brain parts were moderate, suggesting the presence of additive genetic variance to sustain a response to selection in the long term. Genetic correlations among different brain regions were low (average rG ¼ 0.40) and significantly less than unity. These results, along with those from analyses of phenotypic and genetic integration, indicate a high degree of independence between different brain regions, suggesting that responses to selection are unlikely to be severely constrained by genetic and phenotypic correlations. Hence, the results give strong support for the mosaic model of brain evolution. However, the genetic correlation between brain and body size was high (rG ¼ 0.89), suggesting a constraint for independent evolution of brain and body size in sticklebacks.

Original languageEnglish
JournalProceedings of the Royal Society B: Biological Sciences
Volume282
Issue number1810
DOIs
Publication statusPublished - Jun 24 2015

Keywords

  • Brain size
  • Evolvability
  • Genetic correlation
  • Heritability
  • Integration

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Environmental Science(all)
  • Agricultural and Biological Sciences(all)

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