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INVITED REVIEW: Using genome scans of DNA polymorphism to infer adaptive population divergence
Open accessAbstract
Elucidating the genetic basis of adaptive population divergence is a goal of central importance in evolutionary biology. In principle, it should be possible to identify chromosomal regions involved in adaptive divergence by screening genome‐wide patterns of DNA polymorphism to detect the locus‐specific signature of positive directional selection. In the case of spatially separated populations that inhabit different environments or sympatric populations that exploit different ecological niches, it is possible to identify loci that underlie divergently selected traits by comparing relative levels of differentiation among large numbers of unlinked markers. In this review I first address the question of whether diversifying selection on polygenic traits can be expected to produce predictable patterns of allelic variation at the underlying quantitative trait loci (QTL), and whether the locus‐specific effects of selection can be reliably detected against the genome‐wide backdrop of stochastic variability. I then review different approaches that have been developed to identify loci involved in adaptive population divergence and I discuss the relative merits of model‐based approaches that rely on assumptions about population structure vs. model‐free approaches that are based on empirical distributions of summary statistics. Finally, I consider the evolutionary and functional insights that might be gained by conducting genome scans for loci involved in adaptive population divergence.
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Cites
The genetical theory of natural selection
Fisher, R. A. (1930) · doi:10.5962/bhl.title.27468 · Cited by 17,617
Molecular Evolution and Phylogenetics
Nei, M., & Kumar, S. (2000) · doi:10.1093/oso/9780195135848.001.0001 · Cited by 8,012
The Ecology of Adaptive Radiation
Schluter, D. (2000) · doi:10.1093/oso/9780198505235.001.0001 · Cited by 4,974
The hitch-hiking effect of a favourable gene
Smith, J. M., & Haigh, J. (1974) · Genetical Research · doi:10.1017/s0016672300014634 · Cited by 3,415
Detecting recent positive selection in the human genome from haplotype structure
Sabeti, P. C., Reich, D. E., Higgins, J. M., Levine, H. Z. P., Richter, D. J., Schaffner, S. F., Gabriel, S. B., Platko, J. V., Patterson, N. J., McDonald, G. J., et al. (2002) · Nature · doi:10.1038/nature01140 · Cited by 2,106
Hitchhiking Under Positive Darwinian Selection
Fay, J. C., & Wu, C.-I. (2000) · Genetics · doi:10.1093/genetics/155.3.1405 · Cited by 1,819
Genealogical trees, coalescent theory and the analysis of genetic polymorphisms
Rosenberg, N. A., & Nordborg, M. (2002) · Nature Reviews Genetics · doi:10.1038/nrg795 · Cited by 750
BARTON, N. H. (1999) · Genetical Research · doi:10.1017/s001667239900422x · Cited by 181
Wiehe, T. (1998) · Theoretical Population Biology · doi:10.1006/tpbi.1997.1346 · Cited by 77
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Merilä, J., & Hendry, A. P. (2014) · Evolutionary Applications · doi:10.1111/eva.12137 · Cited by 1,369
Stinchcombe, J. R., & Hoekstra, H. E. (2008) · Heredity · doi:10.1038/sj.hdy.6800937 · Cited by 622
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Galeas, M. L., Zhang, L. H., Freeman, J. L., Wegner, M., & Pilon‐Smits, E. A. H. (2007) · New Phytologist · doi:10.1111/j.1469-8137.2006.01943.x · Cited by 217
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Papoyan, A., Piñeros, M., & Kochian, L. V. (2007) · New Phytologist · doi:10.1111/j.1469-8137.2007.02073.x · Cited by 104
Streisfeld, M. A., Young, W. N., & Sobel, J. M. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003385 · Cited by 91
FILATOV, V., DOWDLE, J., SMIRNOFF, N., FORD‐LLOYD, B., NEWBURY, H. J., & MACNAIR, M. R. (2006) · Molecular Ecology · doi:10.1111/j.1365-294x.2006.02981.x · Cited by 82
Loog, L., Thomas, M. G., Barnett, R., Allen, R., Sykes, N., Paxinos, P. D., Lebrasseur, O., Dobney, K., Peters, J., Manica, A., et al. (2017) · Molecular Biology and Evolution · doi:10.1093/molbev/msx142 · Cited by 82
Milner, M. J., Craft, E., Yamaji, N., Koyama, E., Ma, J. F., & Kochian, L. V. (2012) · New Phytologist · doi:10.1111/j.1469-8137.2012.04144.x · Cited by 73
Cassone, B. J., Kamdem, C., Cheng, C., Tan, J. C., Hahn, M. W., Costantini, C., & Besansky, N. J. (2014) · Molecular Ecology · doi:10.1111/mec.12733 · Cited by 46
Metadata
- Authors
- STORZ, J. F.
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2005-01-14
- Volume
- 14
- Issue
- 3
- Pages
- 671-688
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- OpenAlex
- W2103184791
- Cited by
- 653
- References
- 9
- FWCI
- 21.51
- Type
- journal article
- Language
- en
- Open access
- bronze
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