The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
Drivers of population genetic differentiation in the wild: isolation by dispersal limitation, isolation by adaptation and isolation by colonization
Open accessAbstract
Empirical population genetic studies have been dominated by a neutralist view, according to which gene flow and drift are the main forces driving population genetic structure in nature. The neutralist view in essence describes a process of isolation by dispersal limitation (IBDL) that generally leads to a pattern of isolation by distance (IBD). Recently, however, conceptual frameworks have been put forward that view local genetic adaptation as an important driver of population genetic structure. Isolation by adaptation (IBA) and monopolization (M) posit that gene flow among natural populations is reduced as a consequence of local genetic adaptation. IBA stresses that effective gene flow is reduced among habitats that show dissimilar ecological characteristics, leading to a pattern of isolation by environment. In monopolization, local genetic adaptation of initial colonizing genotypes results in a reduction in gene flow that fosters the persistence of founder effects. Here, we relate these different processes driving landscape genetic structure to patterns of IBD and isolation by environment (IBE). We propose a method to detect whether IBDL, IBA and M shape genetic differentiation in natural landscapes by studying patterns of variation at neutral and non‐neutral markers as well as at ecologically relevant traits. Finally, we reinterpret a representative number of studies from the recent literature by associating patterns to processes and identify patterns associated with local genetic adaptation to be as common as IBDL in structuring regional genetic variation of populations in the wild. Our results point to the importance of quantifying environmental gradients and incorporating ecology in the analysis of population genetics.
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Cites
Dalapicolla, J., do Prado, J. R., Percequillo, A. R., & Knowles, L. L. (2021) · Journal of Biogeography · doi:10.1111/jbi.14281 · Cited by 11,461
Wright, S. (1943) · Genetics · doi:10.1093/genetics/28.2.114 · Cited by 5,479
Partialling out the Spatial Component of Ecological Variation
Borcard, D., Legendre, P., & Drapeau, P. (1992) · Ecology · doi:10.2307/1940179 · Cited by 4,273
F. Dormann, C., M. McPherson, J., B. Araújo, M., Bivand, R., Bolliger, J., Carl, G., G. Davies, R., Hirzel, A., Jetz, W., Daniel Kissling, W., et al. (2007) · Ecography · doi:10.1111/j.2007.0906-7590.05171.x · Cited by 3,433
Borcard, D., Gillet, F., & Legendre, P. (2011) · doi:10.1007/978-1-4419-7976-6 · Cited by 2,997
VARIATION PARTITIONING OF SPECIES DATA MATRICES: ESTIMATION AND COMPARISON OF FRACTIONS
Peres-Neto, P. R., Legendre, P., Dray, S., & Borcard, D. (2006) · Ecology · doi:10.1890/0012-9658(2006)87[2614:vposdm]2.0.co;2 · Cited by 2,342
Dray, S., Legendre, P., & Peres-Neto, P. R. (2006) · Ecological Modelling · doi:10.1016/j.ecolmodel.2006.02.015 · Cited by 2,003
Borcard, D., & Legendre, P. (2002) · Ecological Modelling · doi:10.1016/s0304-3800(01)00501-4 · Cited by 1,992
(2012) · Developments in Environmental Modelling · doi:10.1016/b978-0-444-53868-0.50018-6 · Cited by 1,320
Dispersal, Gene Flow, and Population Structure
Bohonak, A. J. (1999) · The Quarterly Review of Biology · doi:10.1086/392950 · Cited by 1,253
Metadata
- Authors
- Orsini, L., Vanoverbeke, J., Swillen, I., Mergeay, J., & De Meester, L.
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2013-11-18
- Volume
- 22
- Issue
- 24
- Pages
- 5983-5999
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- OpenAlex
- W1984394719
- Cited by
- 494
- References
- 71
- FWCI
- 18.21
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Orsini, L., Vanoverbeke, J., Swillen, I., Mergeay, J., & De Meester, L. (2013). Drivers of population genetic differentiation in the wild: isolation by dispersal limitation, isolation by adaptation and isolation by colonization. Molecular Ecology. https://doi.org/10.1111/mec.12561
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.