Ancient and modern stickleback genomes reveal the demographic constraints on adaptation

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  • Melanie Kirch
    Friedrich Miescher Laboratory of the Max Planck Society Tübingen
  • Anders Romundset
    Geological Survey of Norway
  • M Thomas P Gilbert
    Natural History Museum, University of Oslo
  • Felicity C Jones
    Friedrich Miescher Laboratory of the Max Planck Society Tübingen
  • Andrew D Foote
    Norwegian University of Science and Technology
Adaptation is typically studied by comparing modern populations with contrasting environments. Individuals persisting in the ancestral habitat are typically used to represent the ancestral founding population; however, it has been questioned whether these individuals are good proxies for the actual ancestors. To address this, we applied a paleogenomics approach to directly access the ancestral genepool: partially sequencing the genomes of two 11- to 13,000-year-old stickleback recovered from the transitionary layer between marine and freshwater sediments of two Norwegian isolation lakes and comparing them with 30 modern stickleback genomes from the same lakes and adjacent marine fjord, in addition to a global dataset of 20 genomes. The ancient stickleback shared genome-wide ancestry with the modern fjord population, whereas modern lake populations have lost substantial ancestral variation following founder effects, and subsequent drift and selection. Freshwater-adaptive alleles found in one ancient stickleback genome have not risen to high frequency in the present-day population from the same lake. Comparison to the global dataset suggested incomplete adaptation to freshwater in our modern lake populations. Our findings reveal the impact of population bottlenecks in constraining adaptation due to reduced efficacy of selection on standing variation present in founder populations.

Keywords

  • adaptation, ancient DNA, evolution, natural selection, paleogenomics, sticklebacks
Original languageEnglish
Pages (from-to)2027-2036
JournalCurrent Biology
Volume31
Issue number9
Early online date10 Mar 2021
DOIs
Publication statusPublished - 10 May 2021

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