edoc

The genomic signature of parallel adaptation from shared genetic variation

Roesti, Marius and Gavrilets, Sergey and Hendry, Andrew P. and Salzburger, Walter and Berner, Daniel. (2014) The genomic signature of parallel adaptation from shared genetic variation. Molecular Ecology, 23 (16). pp. 3944-3956.

Full text not available from this repository.

Official URL: http://edoc.unibas.ch/dok/A6289027

Downloads: Statistics Overview

Abstract

Parallel adaptation is common and may often occur from shared genetic variation, but the genomic consequences of this process remain poorly understood. We first use individual-based simulations to demonstrate that comparisons between populations adapted in parallel to similar environments from shared variation reveal a characteristic genomic signature around a selected locus: a low-divergence valley centred at the locus and flanked by twin peaks of high divergence. This signature is initiated by the hitchhiking of haplotype tracts differing between derived populations in the broader neighbourhood of the selected locus (driving the high-divergence twin peaks) and shared haplotype tracts in the tight neighbourhood of the locus (driving the low-divergence valley). This initial hitchhiking signature is reinforced over time because the selected locus acts as a barrier to gene flow from the source to the derived populations, thus promoting divergence by drift in its close neighbourhood. We next empirically confirm the peak-valley-peak signature by combining targeted and RAD sequence data at three candidate adaptation genes in multiple marine (source) and freshwater (derived) populations of threespine stickleback. Finally, we use a genome-wide screen for the peak-valley-peak signature to discover additional genome regions involved in parallel marine-freshwater divergence. Our findings offer a new explanation for heterogeneous genomic divergence and thus challenge the standard view that peaks in population divergence harbour divergently selected loci and that low-divergence regions result from balancing selection or localized introgression. We anticipate that genome scans for peak-valley-peak divergence signatures will promote the discovery of adaptation genes in other organisms.
Faculties and Departments:05 Faculty of Science > Departement Umweltwissenschaften > Zoologie > Evolutionary Biology (Salzburger)
UniBasel Contributors:Salzburger, Walter
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:Blackwell
ISSN:0962-1083
e-ISSN:1365-294X
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:04 Dec 2017 09:08
Deposited On:10 Oct 2014 09:19

Repository Staff Only: item control page