Interpreting differentiation landscapes in the light of long-term linked selection

By R. Burri. bioRxiv, 2017

164 citations recorded by the source corpus.

Identifying genomic regions underlying adaptation in extant lineages is key to understand the trajectories along which biodiversity evolves. However, this task is complicated by evolutionary processes that obscure and mimic footprints of positive selection. Particularly the long-term effects of linked selection remain underappreciated and difficult to account for. Based on patterns emerging from recent research on the evolution of differentiation across the speciation continuum, I illustrate how long-term linked selection affects the distribution of differentiation along genomes. I then argue that a comparative population genomics framework that exploits emergent features of long-term linked selection can help overcome shortcomings of traditional genome scans for adaptive evolution, but needs to account for the temporal dynamics of differentiation landscapes.

Subfields: Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/c3e6ba58a09f9732e4cbbebfdb1aed0c2728059e

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In Genetics

1. C. Ryan Campbell
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1. C. Ryan Campbell
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3. A. Yoder

Citations in the corpus

• What is Speciation Genomics? The roles of ecology, gene flow, and genomic architecture in the formation of species (2018, background): “Specifically, variation across the genome in recombination rates and the density of functional elements interacts with selection to produce variation in genetic diversity, and regions of low diversity will automatically show higher levels of relative divergence when populations are isolated (Burri, ”