Abstract
In the new era of population genomics, surveys of genetic polymorphism (“genome scans”) offer the opportunity to distinguish locus-specific from genome-wide effects at many loci. Identifying presumably neutral regions of the genome that are assumed to be influenced by genome-wide effects only, and excluding presumably selected regions, is therefore critical to infer population demography and phylogenetic history reliably. Conversely, detecting locus-specific effects may help identify those genes that have been, or still are, targeted by natural selection. The software package DetSel has been developed to identify markers that show deviation from neutral expectation in pairwise comparisons of diverging populations. Recently, two major improvements have been made: the analysis of dominant markers is now supported, and the estimation of empirical P-values has been implemented. These features, which are described below, have been incorporated into an R package, which replaces the stand-alone DetSel software package.
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References
Black WCT, Baer CF, Antolin MF, DuTeau NM (2001) Population genomics: genome-wide sampling of insect populations. Annu Rev Entomol 46:441–469
Luikart G, England PR, Tallmon D et al (2003) The power and promise of population genomics: from genotyping to genome typing. Nat Rev Genet 4:981–994
Storz JF (2005) Using genome scans of DNA polymorphism to infer adaptive population divergence. Mol Ecol 14:671–688
Maynard Smith JM, Haigh J (1974) Hitch-hiking effect of a favorable gene. Genet Res 23:23–55
Schlötterer C (2003) Hitchhiking mapping – functional genomics from the population genetics perspective. Trends Genet 19:32–38
Wu C-I (2001) Genes and speciation. J Evol Biol 14:889–891
Hinds DA, Stuve LL, Nilsen GB et al (2005) Whole-genome patterns of common DNA variation in three human populations. Science 307:1072–1079
International HapMap Consortium (2003) The International HapMap Project. Nature 426:789–796
Andolfatto P, Przeworski M (2000) A genome-wide departure from the standard neutral model in natural populations of Drosophila. Genetics 156:257–268
Nordborg M, Hu TT, Ishino Y et al (2005) The pattern of polymorphism in Arabidopsis thaliana. PLoS Biol 3:e196
Wilding CS, Butlin RK, Grahame J (2001) Differential gene exchange between parapatric morphs of Littorina saxatilis detected using AFLP markers. J Evol Biol 14:611–619
Emelianov I, Marec F, Mallet J (2004) Genomic evidence for divergence with gene flow in host races of the larch budmoth. Proc Roy Soc B 271:97–105
Vasemägi A, Nilsson J, Primmer CR (2005) Expressed sequence tag-linked microsatellites as a source of gene-associated polymorphisms for detecting signatures of divergent selection in atlantic salmon (Salmo salar L.). Mol Biol Evol 22:1067–1076
Bonin A, Taberlet P, Miaud C, Pompanon F (2006) Explorative genome scan to detect candidate loci for adaptation along a gradient of altitude in the common frog (Rana temporaria). Mol Biol Evol 23:773–783
Goldstein DB, Chikhi L (2002) Human migrations and population structure: what we know and why it matters. Annu Rev Genomics Hum Genet 3:129–152
Akey JM, Zhang G, Zhang K et al (2002) Interrogating a high-density SNP map for signatures of natural selection. Genome Res 12:1805–1814
Barreiro LB, Laval G, Quach H et al (2008) Natural selection has driven population differentiation in modern humans. Nat Genet 40:340–345
Deng LB, Tang XL, Kang JA et al (2007) Scanning for signatures of geographically restricted selection based on population genomics analysis. Chin Sci Bull 52:2649–2656
Weir BS, Cardon LR, Anderson AD et al (2005) Measures of human population structure show heterogeneity among genomic regions. Genome Res 15:1468–1476
Lewontin RC, Krakauer J (1973) Distribution of gene frequency as a test of the theory of the selective neutrality of polymorphisms. Genetics 74:175–195
Nei M, Maruyama T (1975) Lewontin-Krakauer test for neutral genes. Genetics 80:395
Robertson A (1975) Remarks on the Lewontin-Krakauer test. Genetics 80:396
Beaumont M, Nichols RA (1996) Evaluating loci for use in the genetic analysis of population structure. Proc Roy Soc B 263:1619–1626
Vitalis R, Dawson K, Boursot P (2001) Interpretation of variation across marker loci as evidence of selection. Genetics 158:1811–1823
Beaumont MA (2005) Adaptation and speciation: what can F ST tell us? Trends Ecol Evol 20:435–440
Vitalis R, Dawson K, Boursot P, Belkhir K (2003) DetSel 1.0: a computer program to detect markers responding to selection. J Hered 94:429–431
Beaumont MA, Balding DJ (2004) Identifying adaptive genetic divergence among populations from genome scans. Mol Ecol 13:969–980
Foll M, Gaggiotti O (2008) A genome-scan method to identify selected loci appropriate for both dominant and codominant markers: a Bayesian perspective. Genetics 180:977–993
Wright S (1931) Evolution in Mendelian populations. Genetics 16:97–159
Weir BS, Hill WG (2002) Estimating F-statistics. Annu Rev Genet 36:721–750
Cockerham CC, Weir BS (1987) Correlations, descent measures: drift with migration and mutation. Proc Natl Acad Sci USA 84:8512–8514
Rousset F (1996) Equilibrium values of measures of population subdivision for stepwise mutation processes. Genetics 142:1357–1362
Reynolds J, Weir BS, Cockerham CC (1983) Estimation of the coancestry coefficient: basis for a short-term genetic distance. Genetics 105:767–779
Hudson RR (1990) Gene genealogies and the coalescent process. In: Futuyma RJ, Antonovics J (eds) Oxford survey in evolutionary biology. Oxford University Press, Oxford
Hein J, Schierup MH, Wiuf C (2005) Gene genealogies, variation and evolution. A primer in coalescent theory. Oxford University Press, Oxford
R Development Core Team (2009) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna
Bensch S, Akesson M (2005) Ten years of AFLP in ecology and evolution: why so few animals? Mol Ecol 14:2899–2914
Bonin A, Ehrich D, Manel S (2007) Statistical analysis of amplified fragment length polymorphism data: a toolbox for molecular ecologists and evolutionists. Mol Ecol 16:3737–3758
Zhivotovsky LA (1999) Estimating population structure in diploids with multilocus dominant DNA markers. Mol Ecol 8:907–913
Vekemans X, Beauwens T, Lemaire M, Roldan-Ruiz I (2002) Data from amplified fragment length polymorphism (AFLP) markers show indication of size homoplasy and of a relationship between degree of homoplasy and fragment size. Mol Ecol 11:139–151
Weir BS, Cockerham CC (1984) Estimating F-statistics for the analysis of population structure. Evolution 38:1358–1370
Scott DW (1992) Multivariate density estimation: theory, practice, and visualization. Wiley, New York
Raymond M, Rousset F (1995) Genepop (version 1.2): population genetics software for exact tests and ecumenicism. J Hered 86:248–249
Rousset F (2007) Genepop’007: a complete re-implementation of the genepop software for Windows and Linux. Mol Ecol Notes 8:103–106
Barton NH (1995) Linkage and the limits to natural selection. Genetics 140:821–841
Kaplan NL, Hudson RR, Langley CH (1989) The “hitchhiking effect” revisited. Genetics 123:887–899
Storey JD, Tibshirani R (2003) Statistical significance for genomewide studies. Proc Natl Acad Sci USA 100:9440–9445
Whitlock MC (2005) Combining probability from independent tests: the weighted Z-method is superior to Fisher’s approach. J Evol Biol 18:1368–1373
Meyer CL, Vitalis R, Saumitou-Laprade P, Castric V (2009) Genomic pattern of adaptive divergence in Arabidopsis halleri, a model species for tolerance to heavy metal. Mol Ecol 18:2050–2062
Fisher RA (1932) Statistical methods for research workers. Oliver and Boyd, Edinburgh
Nosil P, Egan SP, Funk DJ (2008) Heterogeneous genomic differentiation between walking-stick ecotypes: “isolation by adaptation” and multiple roles for divergent selection. Evolution 62:316–336
Midamegbe A, Vitalis R, Malausa T et al (2011) Scanning the European corn borer (Ostrinia spp.) genome for adaptive divergence between host-affiliated sibling species. Mol Ecol 20:1414–1430
Acknowledgments
I am grateful to Hélène Fréville and François Pompanon for useful comments on a previous version of this chapter. I also sincerely acknowledge Eric Bazin for providing me some hints and tips during the packaging of DetSel into R. Part of this work was carried out by using the resources of the Computational Biology Service Unit from the Museum national d’Histoire naturelle (MNHN—CNRS UMS 2700). This work was funded by the ANR grants “EMILE” (09-BLAN-0145) and “NUTGENEVOL” (07-BLAN-0064).
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Vitalis, R. (2012). DetSel: An R-Package to Detect Marker Loci Responding to Selection. In: Pompanon, F., Bonin, A. (eds) Data Production and Analysis in Population Genomics. Methods in Molecular Biology, vol 888. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-61779-870-2_16
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DOI: https://doi.org/10.1007/978-1-61779-870-2_16
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