Ravinet, M. orcid.org/0000-0002-2841-1798, Faria, R., Butlin, R.K. orcid.org/0000-0003-4736-0954 et al. (6 more authors) (2017) Interpreting the genomic landscape of speciation: a road map for finding barriers to gene flow. Journal of Evolutionary Biology, 30 (8). pp. 1450-1477. ISSN 1010-061X
Abstract
Speciation, the evolution of reproductive isolation among populations, is continuous, complex, and involves multiple, interacting barriers. Until it is complete, the effects of this process vary along the genome and can lead to a heterogeneous genomic landscape with peaks and troughs of differentiation and divergence. When gene flow occurs during speciation, barriers restricting gene flow locally in the genome lead to patterns of heterogeneity. However, genomic heterogeneity can also be produced or modified by variation in factors such as background selection and selective sweeps, recombination and mutation rate variation, and heterogeneous gene density. Extracting the effects of gene flow, divergent selection and reproductive isolation from such modifying factors presents a major challenge to speciation genomics. We argue one of the principal aims of the field is to identify the barrier loci involved in limiting gene flow. We first summarize the expected signatures of selection at barrier loci, at the genomic regions linked to them and across the entire genome. We then discuss the modifying factors that complicate the interpretation of the observed genomic landscape. Finally, we end with a road map for future speciation research: a proposal for how to account for these modifying factors and to progress towards understanding the nature of barrier loci. Despite the difficulties of interpreting empirical data, we argue that the availability of promising technical and analytical methods will shed further light on the important roles that gene flow and divergent selection have in shaping the genomic landscape of speciation.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 European Society For Evolutionary Biology. This is an author produced version of a paper subsequently published in Journal of Evolutionary Biology. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | gene flow; genome scans; genomic divergence; population genomics; reproductive isolation; selection; speciation genomics |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Biosciences (Sheffield) > Department of Animal and Plant Sciences (Sheffield) |
Funding Information: | Funder Grant number NATURAL ENVIRONMENT RESEARCH COUNCIL NE/K014021/1 EUROPEAN COMMISSION - HORIZON 2020 693030 NATURAL ENVIRONMENT RESEARCH COUNCIL NE/P001610/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 31 Aug 2017 13:20 |
Last Modified: | 08 Aug 2018 00:38 |
Published Version: | https://doi.org/10.1111/jeb.13047 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1111/jeb.13047 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:120727 |