Genomic variation, population history and within-archipelago adaptation between island bird populations

Martin, Claudia, Spurgin, Lewis, Richardson, David, Armstrong, Claire, Emerson, Brent and Illera, Juan-Carlos (2021) Genomic variation, population history and within-archipelago adaptation between island bird populations. Royal Society Open Science. ISSN 2054-5703 (In Press)

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Oceanic island archipelagos provide excellent models to understand evolutionary processes. Colonisation events and gene flow can interact with selection to shape genetic variation at different spatial scales. Landscape-scale variation in biotic and abiotic factors may drive fine-scale selection within islands, while long-term evolutionary processes may drive divergence between distantly related populations. Here, we examine patterns of population history and selection between recently diverged populations of the Berthelot’s pipit (Anthus berthelotii), a passerine endemic to three North Atlantic archipelagos. First we use demographic trees and f3 statistics to show that genome-wide divergence across the species range is largely shaped by colonisation and bottlenecks, with evidence of very weak gene flow between populations. Then, using a genome scan approach, we identify signatures of divergent selection within-archipelagos at SNPs in genes potentially associated with craniofacial development and DNA repair. We did not detect within-archipelago selection at the same SNPs as were detected previously at broader spatial scales between archipelagos, but did identify signatures of selection at loci associated with similar biological functions. These findings suggest that similar ecological factors may repeatedly drive selection between recently separated populations, as well as at broad spatial scales across varied landscapes.

Item Type: Article
Uncontrolled Keywords: adaptation,population genetics,colonisation history,birds,genome scan,spatial scales
Faculty \ School: Faculty of Science > School of Biological Sciences
Depositing User: LivePure Connector
Date Deposited: 14 Jan 2021 00:54
Last Modified: 14 Jan 2021 00:54

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