Adaptive Genetic Variation on the Landscape: Methods and Cases

By Sean D. Schoville, Aurélie Bonin, Olivier Francois, S. Lobréaux, C. Melodelima, S. Manel. 2012

290 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/46bcab44c91b1c42efa8c5c5fea9906e6384f5f8

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In Genetics

Citations in the corpus

Forest tree genomics: 10 achievements from the past 10 years and future prospects (2016, background): “Depending on the extent to which ecological contrasts give rise to continuous patterns, there are good reasons for treating dispersal, migration, and adaptation as a unified process (Sork et al. 2013; Schoville et al. 2012).”
Assisted Gene Flow to Facilitate Local Adaptation to Climate Change (2013, background): “The proliferation of high-throughput DNA sequencing and associated genomic tools allows researchers to test genetic polymorphisms for statistical associations among local allele frequencies and climate or other factors (Schoville et al. 2012).”
Finding the Genomic Basis of Local Adaptation: Pitfalls, Practical Solutions, and Future Directions (2016, unknown): “Researchers should consult recent reviews on ecological adaptation (Kawecki 2008; Schoville et al. 2012; Savolainen et al. 2013; Tif ﬁ n and Ross-Ibarra 2014), genetic-environment association methods (Rellstab et al. 2015), genomic resource development (Stapley et al. 2010; Ellegren 2014; Bragg et…”
The genomics of local adaptation in trees: are we out of the woods yet? (2017, background): “…2015; see also De Mita et al. 2013), information about possible environmental drivers is incorporated by assessing the association between allele frequencies and environmental heterogeneity, yet without information regarding traits hypothesized to be influenced by selection (Schoville et al. 2012).”
A practical guide to environmental association analysis in landscape genomics (2015, methodology): “This article complements earlier conceptual reviews on landscape genomics (Holderegger et al. 2010; Manel et al. 2010a; Schoville et al. 2012; Joost et al. 2013; Manel & Holderegger 2013; Bragg et al. 2015) and comparisons of the statistical performance of selected methods (De Mita et al. 2013;…”
Landscape Genomics: Understanding Relationships Between Environmental Heterogeneity and Genomic Characteristics of Populations (2017, background): “Local environmental conditions can induce spatially varying selective pressures, which directly affect adaptive genetic variation (Schoville et al. 2012).”
Testing for Associations between Loci and Environmental Gradients Using Latent Factor Mixed Models (2012, background): “Local adaptation through natural selection plays a central role in shaping the variation of natural populations (Darwin 1859; Williams 1966) and is of fundamental importance in evolution, conservation, and global-change biology (Joost et al. 2007; Manel et al. 2010; Barrett and Hoekstra 2011; Jay et”