Patterns of DNA sequence diversity and genetic structure after a range expansion: lessons from the infinite‐island model
By Laurent Excoffier. Molecular Ecology, 2004
661 citations recorded by the source corpus.
Subfields: Genetics
View Paper: https://www.semanticscholar.org/paper/28545b2fc216f47c6d37a83dcc6b6a2f521499b3
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In Genetics
- MARK A. Beaumont
- Laurent Excoffier
- Matthieu Foll
- Mathias Currat
- S. Klopfstein
- F. Werneck
- Mark George Thomas
- Joachim Burger
Citations in the corpus
- Genetic diversity in the mtDNA control region and population structure in the small yellow croaker Larimichthys polyactis (2009, background): “The distribution is usually multimodal in sample drawn from populations at demographic equilibrium, but it is usually unimodal in population following a recent population demographic expansion and population range expansion (Rogers and Harpending 1992; Ray et al. 2003; Excoffier 2004).”
- Robust Demographic Inference from Genomic and SNP Data (2013, methodology): “These continent-island models are equivalent to infinite-island models [e.g. 87], and have been shown to well approximate patterns of diversity after range expansions [47].”
- Distributional and demographic consequences of Pleistocene climate fluctuations for a marine demersal fish in the north‐eastern Atlantic (2009, methodology): “Because the sand goby probably experienced demographic as well as range expansions and contractions during successive cycles of glaciations, both demographic and spatial mismatch analyses (Excoffier, 2004; Excoffier et al., 2005) were conducted using arlequin.”
- The Genetics and Genomics of Plant Domestication (2017, background): “However, nonequilibrium demographic histories, such as those associated with domestication and breeding, can generate heterogeneous patterns of variation across the genome, potentially producing false positives in genome scans for selection (Excoffier 2004).”
- The diversification of eastern South American open vegetation biomes: Historical biogeography and perspectives (2011, background): “…such as: mismatch distributions (number of mutation differences between pair of genes, expected to be unimodal under this scenario), Hs tests, and Bayesian Skyline Plots (able to estimate posterior distribution of effective population sizes through time) (Drummond et al., 2005; Excoffier, 2004).”
- The Origins of Lactase Persistence in Europe (2009, methodology): “related studies [33–36] the one we present is stochastic and more parameter-heavy.”
- The fate of mutations surfing on the wave of a range expansion. (2006, methodology): “These migration rates cover most of the situations encountered for humans (see e.g., Excoffier 2004) and should hold for other species colonizing uniform habitats, as modeled here.”
- Genetic homogeneity and circum-Antarctic distribution of two benthic shrimp species of the Southern Ocean, Chorismus antarcticus and Nematocarcinus lanceopes (2010, methodology): “For each species, the shape of the distribution was compared to a distribution of a simulated data set under a spatial expansion model (Ray et al. 2003; ExcoYer 2004) and a sudden population expansion (Rogers and Harpending 1992).”
- Multiple periglacial refugia in the Patagonian steppe and post‐glacial colonization of the Andes: the phylogeography of Calceolaria polyrhiza (2010, background): “A multimodal distribution of differences between haplotypes is usually found in samples drawn from populations at demographic equilibrium, whereas the distribution is usually unimodal in populations having passed through a recent demographic expansion (Excoffier, 2004).”