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Sam Yeaman

Researcher at University of Calgary

Publications -  72
Citations -  6376

Sam Yeaman is an academic researcher from University of Calgary. The author has contributed to research in topics: Population & Local adaptation. The author has an hindex of 26, co-authored 64 publications receiving 5142 citations. Previous affiliations of Sam Yeaman include University of Exeter & University of British Columbia.

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Adaptation, migration or extirpation: climate change outcomes for tree populations

TL;DR: As all tree species will be suffering lags, interspecific competition may weaken, facilitating persistence under suboptimal conditions, and species with small populations, fragmented ranges, low fecundity, or suffering declines due to introduced insects or diseases should be candidates for facilitated migration.
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The genetic architecture of adaptation under migration–selection balance

TL;DR: Analytical approximations and individual‐based simulations are used to explore how genetic architecture evolves when two populations connected by migration experience stabilizing selection toward different optima and find that adaptation with migration tends to result in concentrated genetic architectures with fewer, larger, and more tightly linked divergent alleles.
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Genomic rearrangements and the evolution of clusters of locally adaptive loci

TL;DR: It is shown that tight clustering of the loci involved in local adaptation tends to evolve on biologically realistic time scales, which suggests that genomic rearrangements may often be an important component of local adaptation and the evolution of genomic islands of divergence.
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Genomic islands of divergence are not affected by geography of speciation in sunflowers

TL;DR: It is found that genetic divergence is lower in sympatric and parapatric comparisons, consistent with a role for gene flow in eroding neutral differences, and the results indicate that the functional architecture of genomes plays a larger role in shaping genomic divergence than does the geography of speciation.