Detecting correlation between allele frequencies and environmental variables as a signature of selection. A fast computational approach for genome-wide studies

Spatial Statistics - Tập 8 - Trang 145-155 - 2014
Gilles Guillot1, Renaud Vitalis2, Arnaud le Rouzic3, Mathieu Gautier2
1Department of Applied Mathematics and Computer Science, R. Pedersens Plads, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
2Centre de Biologie et de Gestion des Populations, 34988 Montferrier-sur-Lez cedex, France
3Laboratoire Évolution, Génome et Spéciation, 91198, Gif-sur-Yvette, France

Tài liệu tham khảo

Rue, 2009, Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations, Journal of the Royal Statistical Society, Series B, 71, 1, 10.1111/j.1467-9868.2008.00700.x Lindgren, 2011, An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach, Journal of the Royal Statistical Society, Series B, 73, 423, 10.1111/j.1467-9868.2011.00777.x Nielsen, 2005, Molecular signatures of natural selection, Annual Review of Genetics, 39, 197, 10.1146/annurev.genet.39.073003.112420 Hansen, 2012, Monitoring adaptive genetic responses to environmental change, Molecular Ecology, 21, 1311, 10.1111/j.1365-294X.2011.05463.x Yamasaki, 2005, A large scale screen for artificial selection in maize identifies candidate agronomic loci for domestication and crop improvement, Plant Cell, 17, 2859, 10.1105/tpc.105.037242 Flori, 2009, The genome response to artificial selection: a case study in dairy cattl, PLoS One, 4, e6595, 10.1371/journal.pone.0006595 Davey, 2011, Genome-wide genetic marker discovery and genotyping using next-generation sequencing, Nature Review Genetics, 12, 499, 10.1038/nrg3012 Joost, 2007, A spatial analysis method (SAM) to detect candidate loci for selection: towards a landscape genomics approach to adaptation, Molecular Ecology, 16, 3955, 10.1111/j.1365-294X.2007.03442.x Guillot, 2013, Dismantling the Mantel tests, Methods in Ecology and Evolution, 4, 336, 10.1111/2041-210x.12018 Coop, 2010, Using environmental correlations to identify loci under selection, Genetics, 185, 1411, 10.1534/genetics.110.114819 De Mita, 2013, Detecting selection along environmental gradients: analysis of eight methods and their effectiveness for outbreeding and selfing populations, Molecular Ecology, 22, 1383, 10.1111/mec.12182 Conord, 2006, Genetic structure of the forest pest Hylobius abietis on conifer plantations at different spatial scales in Europe, Heredity, 97, 46, 10.1038/sj.hdy.6800837 Chilès, 1999 Rebaudo, 2013, SimAdapt: an individual-based genetic model for simulating landscape management impacts on populations, Methods in Ecology and Evolution, 4, 595, 10.1111/2041-210X.12041