4.8 Article

Genomic architecture of parallel ecological divergence: Beyond a single environmental contrast

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SCIENCE ADVANCES
卷 5, 期 12, 页码 -

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AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/sciadv.aav9963

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资金

  1. Swedish Research Council Vetenskapsradet through a Linnaeus grant [217-2008-1719]
  2. Swedish Research Council Formas through a Linnaeus grant [217-2008-1719]
  3. Royal Swedish Academy of Sciences [CR2015-0079]
  4. Natural Environment Research Council [NE/K014021/1, NE/P001610/1]
  5. European Research Council [AdG-693030-BARRIERS]
  6. Science for Life Laboratory, Swedish Genomes Program
  7. Knut and Alice Wallenberg Foundation
  8. European Union's Horizon 2020 research and innovation programme under Marie Sklodowska-Curie grant [754411/797747, 706376]
  9. NERC [NE/K014021/1, NE/P001610/1] Funding Source: UKRI
  10. Marie Curie Actions (MSCA) [706376] Funding Source: Marie Curie Actions (MSCA)

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The study of parallel ecological divergence provides important clues to the operation of natural selection. Parallel divergence often occurs in heterogeneous environments with different kinds of environmental gradients in different locations, but the genomic basis underlying this process is unknown. We investigated the genomics of rapid parallel adaptation in the marine snail Littorina saxatilis in response to two independent environmental axes (crab-predation versus wave-action and low-shore versus high-shore). Using pooled whole-genome resequencing, we show that sharing of genomic regions of high differentiation between environments is generally low but increases at smaller spatial scales. We identify different shared genomic regions of divergence for each environmental axis and show that most of these regions overlap with candidate chromosomal inversions. Several inversion regions are divergent and polymorphic across many localities. We argue that chromosomal inversions could store shared variation that fuels rapid parallel adaptation to heterogeneous environments, possibly as balanced polymorphism shared by adaptive gene flow.

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