evolution of genomic islands by increased establishment probability of linked alleles

Genomic islands are clusters of loci with elevated divergence that are commonly found in population genomic studies of local adaptation and speciation. One explanation for their evolution is that linkage between selected alleles confers a benefit, which increases the establishment probability of new...

Full description

Saved in:
Bibliographic Details
Published inMolecular ecology Vol. 25; no. 11; pp. 2542 - 2558
Main Authors Yeaman, Sam, Aeschbacher, Simon, Bürger, Reinhard
Format Journal Article
LanguageEnglish
Published England John Wiley & Sons, Ltd 01.06.2016
Blackwell Publishing Ltd
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Genomic islands are clusters of loci with elevated divergence that are commonly found in population genomic studies of local adaptation and speciation. One explanation for their evolution is that linkage between selected alleles confers a benefit, which increases the establishment probability of new mutations that are linked to existing locally adapted polymorphisms. Previous theory suggested there is only limited potential for the evolution of islands via this mechanism, but involved some simplifying assumptions that may limit the accuracy of this inference. Here, we extend previous analytical approaches to study the effect of linkage on the establishment probability of new mutations and identify parameter regimes that are most likely to lead to evolution of islands via this mechanism. We show how the interplay between migration and selection affects the establishment probability of linked vs. unlinked alleles, the expected maximum size of genomic islands, and the expected time required for their evolution. Our results agree with previous studies, suggesting that this mechanism alone is unlikely to be a general explanation for the evolution of genomic islands. However, this mechanism could occur more readily if there were other pre‐adaptations to reduce local rates of recombination or increase the local density of mutational targets within the region of the island. We also show that island formation via erosion following secondary contact is much more rapid than island formation from de novo mutations, suggesting that this mechanism may be more likely.
Bibliography:http://dx.doi.org/10.1111/mec.13611
Genome Canada LSARP program
istex:FAE1B9EA05A0D975D35EC982A9FA5F6E211B4277
Figure S1. The breakdown of the approximation based on the slightly-supercritical branching process. Figure S2.The effect of the shape of the gamma input distribution of fitness effects (DFE). Figure S3. The effect of the shape of the gamma input distribution on waiting times for establishment. Figure S4. Deterministic dynamics of FST upon secondary contact and during establishment of an adaptive peak. Figure S5. Dynamics of FST upon secondary contact and during the rise of an adaptive peak in finite populations. Figure S6. Comparison of the two-type branching process with the splicing approach.
Swiss National Science Foundation
Advanced Postdoc.Mobility fellowship - No. P300P3_154613
Austrian Science Fund - No. P25188
ArticleID:MEC13611
Alberta Innovates Health Solutions
ark:/67375/WNG-H67VHS3H-6
Forest Genetics Council of BC
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0962-1083
1365-294X
DOI:10.1111/mec.13611