INVITED REVIEW: Using genome scans of DNA polymorphism to infer adaptive population divergence

By J. Storz. Molecular Ecology, 2005

644 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/9ee1c2889bf1b2d4aa533f8c05ee2fc816d95027

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In Genetics

Citations in the corpus

Divergent selection and heterogeneous genomic divergence (2009, background): “Thus, loci under selection and those tightly physically linked to them should exhibit greater differentiation than distantly linked or unlinked neutral regions (Fig. 2; Lewontin & Krakauer 1973; Bowcock et al. 1991; Beaumont & Nichols 1996; Black et al. 2001; Schlötterer 2002; Luikart et al. 2003; B”
Testing for Associations between Loci and Environmental Gradients Using Latent Factor Mixed Models (2012, background): “[10] J F Storz.”
Mapping signatures of positive selection in the genome of livestock (2014, background): “Selection analysis can be implemented in natural populations of any species (Schlötterer, 2002; Storz, 2005) for which a high-density genetic map is available.”
Rapid and cost-effective polymorphism identification and genotyping using restriction site associated DNA (RAD) markers. (2007, background): “…mapping, which takes advantage of numerous generations of ancestral recombination, is beginning to be recognized as a way to directly map variation in natural populations without the need to first produce laboratory crosses (Luikart et al. 2003; Storz 2005; Breseghello and Sorrells 2006).”
Bridging the gap between the genotype and the phenotype: linking genetic variation, selection and adaptation in fishes (2008, background): “have undergone a selective sweep (Fig. 3.3; Storz 2005; Sabeti et al. 2006).”
A spatial analysis method (SAM) to detect candidate loci for selection: towards a landscape genomics approach to adaptation (2007, background): “Therefore, in contrast to candidate-gene-based methods, strategies making use of population genomics do not focus on a few loci only, but rather depict the effect of selection over the whole genome (Storz 2005).”
Combining population genomics and quantitative genetics: finding the genes underlying ecologically important traits (2008, background): “…2004); the lnRV and lnRH statistics (natural log of the ratio of the variance and heterozygosity of alleles between two populations; (Schlotterer, 2002)); and the Ewens–Watterson test (Ewens, 1972; Watterson, 1978; Vigouroux et al., 2002); see Storz (2005) for a recent review of such tests.”
Stacks: an analysis tool set for population genomics (2013, background): “…to local adaptation or even speciation (Lewontin & Krakauer 1973; Maynard Smith & Haigh 1974; Luikart et al. 2003; Beaumont & Balding 2004; Nielsen 2005; Storz 2005; Nielsen et al. 2007; Foll & Gaggiotti 2008; Gaggiotti et al. 2009; Hohen-lohe et al. 2010b, 2012b; Strasburg et al. 2012).”
Microsatellites and their genomic distribution, evolution, function and applications : A review with special reference to fish genetics (2006, methodology): “Genome-wide scans using microsatellite markers could be applied for a search of locus-specific signatures of positive directional selection in natural populations of any species for which a high-density genetic map is available (Storz, 2005).”
Detecting loci under selection in a hierarchically structured population (2009, methodology): “, 2008), which have been applied to various genome scan studies to detect specific loci under selection (see for example, Kayser et al., 2003; Storz et al., 2004; Storz, 2005; Tang et al., 2007; Thornton and Jensen, 2007; Egan et al., 2008; Mäkinen et al., 2008).”
Between a rock and a hard place: evaluating the relative risks of inbreeding and outbreeding for conservation and management (2006, background): “The new emphasis on adaptive variation (e.g. Delaney & Wayne 2005; Storz 2005) holds promise for identifying taxa where disruption of local adaptation is a concern, as well as for choosing source populations that adaptively match the population of concern.”
Simulated climate change provokes rapid genetic change in the Mediterranean shrub Fumana thymifolia (2008, background): “thymifolia genome subject to natural selection (Vitalis et al., 2001; Beaumont, 2005; Storz, 2005).”
Climate change, adaptation, and phenotypic plasticity: the problem and the evidence (2014, background): “These findings are highlighted by the results of Teplitsky and Millien (2014) who focused on temporal body size clines in vertebrates: None of studies listed in their Table 2 provide evidence for genetic basis of observed body size changes.”
Contribution of genetics and genomics to seagrass biology and conservation (2007, background): “Because SNPs and microsatellites can now be chosen to be situated in the immediate vicinity of particular genes, the potential for some of them to be under selection through genetic hitchhiking is high and possible to assess (Luikart et al., 2003; Storz, 2005).”
Applications of next-generation sequencing to the study of biological invasions (2015, background): “Three popular approaches are genome-wide selection scans (GWSS) (Storz, 2005), genome-wide association scans (GWAS) (Hirschhorn and Daly, 2005) and genetic-environment association scans (GEAS) (Thomas, 2010).”
Building evolutionary resilience for conserving biodiversity under climate change (2010, methodology): “…with more sophisticated statistical methods provide the means by which adaptive (and neutral) genetic diversity can be estimated more easily in a range of organisms in the absence of any prior information on either molecular or quantitative trait variation (Beaumont and Balding 2004; Storz 2005).”