Philosophical Transactions of the Royal Society B: Biological Sciences
Restricted access Review article

What can patterns of differentiation across plant genomes tell us about adaptation and speciation?

Jared L. Strasburg

Jared L. Strasburg

Department of Biology, Indiana University, Bloomington, IN 47405, USA

[email protected]

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Natasha A. Sherman

Natasha A. Sherman

Department of Biology, Indiana University, Bloomington, IN 47405, USA

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,
Kevin M. Wright

Kevin M. Wright

Department of Biology, Duke University, Durham, NC 27708, USA

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,
Leonie C. Moyle

Leonie C. Moyle

Department of Biology, Indiana University, Bloomington, IN 47405, USA

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John H. Willis

John H. Willis

Department of Biology, Duke University, Durham, NC 27708, USA

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and
Loren H. Rieseberg

Loren H. Rieseberg

Department of Biology, Indiana University, Bloomington, IN 47405, USA

Department of Botany, University of British Columbia, Vancouver, BC, Canada V6T 1Z4

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Published:https://doi.org/10.1098/rstb.2011.0199

    Genome scans have become a common approach to identify genomic signatures of natural selection and reproductive isolation, as well as the genomic bases of ecologically relevant phenotypes, based on patterns of polymorphism and differentiation among populations or species. Here, we review the results of studies taking genome scan approaches in plants, consider the patterns of genomic differentiation documented and their possible causes, discuss the results in light of recent models of genomic differentiation during divergent adaptation and speciation, and consider assumptions and caveats in their interpretation. We find that genomic regions of high divergence generally appear quite small in comparisons of both closely and more distantly related populations, and for the most part, these differentiated regions are spread throughout the genome rather than strongly clustered. Thus, the genome scan approach appears well-suited for identifying genomic regions or even candidate genes that underlie adaptive divergence and/or reproductive barriers. We consider other methodologies that may be used in conjunction with genome scan approaches, and suggest further developments that would be valuable. These include broader use of sequence-based markers of known genomic location, greater attention to sampling strategies to make use of parallel environmental or phenotypic transitions, more integration with approaches such as quantitative trait loci mapping and measures of gene flow across the genome, and additional theoretical and simulation work on processes related to divergent adaptation and speciation.

    Footnotes

    One contribution of 13 to a Theme Issue ‘Patterns and processes of genomic divergence during speciation’.

    References