A practical guide to environmental association analysis in landscape genomics

By C. Rellstab, F. Gugerli, A. Eckert, Angela M. Hancock, R. Holderegger. Molecular Ecology, 2015

735 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/5719551218cab14cd6576e33fb7bb6fcdfcecbb5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

Citations in the corpus

Landscape Genomics: Understanding Relationships Between Environmental Heterogeneity and Genomic Characteristics of Populations (2017, methodology): “Individuals close in space tend to be genetically similar, producing a gradient of neutral genetic differentiation that might overlap with environmental gradients and result in false signals of adaptation (Rellstab et al. 2015; Joost et al. 2013).”
Looking beyond the mountain: Dispersal barriers in a changing world (2016, background): “The ability to sample assemblages and to characterize and assess signatures of local adaptation by high- throughput sequencing approaches will improve our understanding of how genetic barriers are formed (Rellstab et al. 2015).”
Finding the Genomic Basis of Local Adaptation: Pitfalls, Practical Solutions, and Future Directions (2016, neutral): “…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 al. 2015; Manel et al. 2016), signatures of…”
LFMM 2: Fast and Accurate Inference of Gene-Environment Associations in Genome-Wide Studies (2019, background): “The use of those methods has become popular in ecological genomics, and several surveys have shown that they are robust to departure from their model assumptions (De Mita et al. 2013; Villemereuil et al. 2014; Lotterhos and Whitlock 2015; Rellstab et al. 2015).”
Identifying targets and agents of selection: innovative methods to evaluate the processes that contribute to local adaptation (2017, background): “In those cases, two types of studies involving genome-wide or candidate gene resequencing can illuminate mutations underlying local adaptation: (i) genome scans and (ii) genotype–environment association studies (Rellstab et al. 2015; Hoban et al. 2016).”
The genomics of local adaptation in trees: are we out of the woods yet? (2017, background): “…size, type, location, expression, pleiotropic effect, environmental influence, and interaction of underlying loci), which is generally not known a priori (Stinchcombe & Hoekstra 2008; Rellstab et al. 2015; Savolainen et al. 2013; Hoban et al. 2016; Burghardt et al. 2017; Wadgymar et al. 2017).”