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The potential of a population genomics approach to analyse geographic mosaics of plant--insect coevolution

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Abstract

A central issue in the evolutionary ecology of species interactions is coevolution, which involves the reciprocal selection between individuals of interacting species. Understanding the importance of coevolution in shaping species interactions requires the consideration of spatial variation in their strength. This is exactly what the, recently developed, geographic mosaic theory of coevolution addresses. Another major development in the study of population ecology is the introduction of the population genomics approach in this field of research. This approach addresses spatial processes through molecular methods. It is of particular interest that population genomics is especially applicable to natural populations of non-model species. We describe how population genomics can be used in the context of the geographic mosaic of coevolution, specifically to identify coevolutionary hot-spots, and to attribute genetic variation found at specific loci to processes of selection versus trait remixing. The proposed integration of the population genomics approach with the conceptual framework of the geographic mosaic of coevolution is illustrated with a few selected, particularly demonstrative, examples from the realm of insect--plant interactions.

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Acknowledgments

We are grateful to John Thompson for constructive comments on a preliminary draft of this paper, and sharing his thoughts about its topic with us. We also thank two anonymous reviewers for their helpful comments.

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  1. Laboratory of Entomology, Wageningen University, PO Box 8031, 6700 EH, Wageningen, The Netherlands

    Kim M. C. A. Vermeer, Marcel Dicke & Peter W. de Jong

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  1. Kim M. C. A. Vermeer
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  2. Marcel Dicke
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  3. Peter W. de Jong
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Correspondence to Kim M. C. A. Vermeer.

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Vermeer, K.M.C.A., Dicke, M. & de Jong, P.W. The potential of a population genomics approach to analyse geographic mosaics of plant--insect coevolution. Evol Ecol 25, 977–992 (2011). https://doi.org/10.1007/s10682-010-9452-8

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