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The potential of a population genomics approach to analyse geographic mosaics of plant–insect coevolution
- Source :
- Evolutionary Ecology, 25(5), 977-992, Evolutionary Ecology 25 (2011) 5
- Publication Year :
- 2011
-
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.
- Subjects :
- Natural selection
Ecology
flea beetle
Ecology (disciplines)
bebbianae leaf beetles
barbarea-vulgaris
Biology
Population ecology
PE&RC
Laboratorium voor Entomologie
Field (geography)
beetle phyllotreta-nemorum
Population genomics
diffuse coevolution
host-plant
Evolutionary biology
Animal ecology
lodgepole pine
Evolutionary ecology
genetic differentiation
Laboratory of Entomology
ecologically important traits
Ecology, Evolution, Behavior and Systematics
Coevolution
natural-selection
Subjects
Details
- Language :
- English
- ISSN :
- 02697653
- Volume :
- 25
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- Evolutionary Ecology
- Accession number :
- edsair.doi.dedup.....f2b7055d16fbfa1616aaeefb477e103d
- Full Text :
- https://doi.org/10.1007/s10682-010-9452-8