Adaptation to Climate Across the Arabidopsis thaliana Genome

By Angela M. Hancock, B. Brachi, N. Faure, Matthew W Horton, L. Jarymowycz, F. G. Sperone, C. Toomajian, F. Roux, Joy Bergelson. Science, 2011

681 citations recorded by the source corpus.

Subfields: Genetics

View Paper: https://www.semanticscholar.org/paper/6909219a0e44b419836c79a65e76fd0b07d1e50f

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In Genetics

Citations in the corpus

Climate change, genetic markers and species distribution modelling (2015, positive): “…the future, the combination of high-density molecular data (Santure et al., 2013) and phenotype data for ecologically important traits (Etterson, 2004) may allow for improved forecasts that take into account the potential for evolutionary change (Hancock et al., 2011; Fitzpatrick & Keller , 2015).”
Identifying targets and agents of selection: innovative methods to evaluate the processes that contribute to local adaptation (2017, background): “Hancock et al. (2011b) even found strong climate–SNP associations in humans, worldwide.”
Ecological genomics meets community-level modelling of biodiversity: mapping the genomic landscape of current and future environmental adaptation. (2015, background): “…solution for moving beyond SDMs, which assume all populations within a species respond identically to environmental gradients, and towards predictive mapping of adaptive genetic variation at the whole-genome level in response to changes in climate (Hickerson et al. 2010; Hancock et al. 2011).”
Introduction to a Special Issue on Genotype by Environment Interaction (2016, background): “Several examples of these types of relationships are available in the literature for naturally and artificially selected populations (Hall et al., 2010; Hancock et al., 2011, Brekke et al., 2011a, 2011b; Anderson et al., 2013).”
Landscape Genomics: Understanding Relationships Between Environmental Heterogeneity and Genomic Characteristics of Populations (2017, background): “2007; Carl and Kühn 2007), matrix correlations (Hancock et al. 2011; Fischer et al. 2013), general linear models (Zulliger et al.”
Potential for evolutionary responses to climate change – evidence from tree populations (2013, background): “The associated loci may well differ between environments due to genotype by environment interactions (Jermstad et al., 2003) or because of different genetic basis in different areas (Goldstein & Holsinger, 1992; Hancock et al., 2011).”