A Map of Local Adaptation in Arabidopsis thaliana

By A. Fournier-Level, Arthur Korte, M. Cooper, Magnus Nordborg, J. Schmitt, A. Wilczek. Science, 2011

687 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Genetics

View Paper: https://www.semanticscholar.org/paper/de65fc1ee9045db984e3c9920f2b291d10da58ec

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In Ecology, Evolution, Behavior and Systematics

In Genetics

Citations in the corpus

GENETIC ISOLATION BY ENVIRONMENT OR DISTANCE: WHICH PATTERN OF GENE FLOW IS MOST COMMON? (2014, background): “These can reveal chromosomal regions of adaptive divergence and the strength of selection associated with these regions as well as uncovering relationships to functional genes under selection (e.g., Coop et al. 2010; Eckert et al. 2010; Fournier-Level et al. 2011; Keller et al. 2011).”
Identifying targets and agents of selection: innovative methods to evaluate the processes that contribute to local adaptation (2017, result): “For example, in a study of Arabidopsis, Fournier-Level et al. (2011) found genome-wide negative correlations (suggesting trade-offs) for the effect of SNPs on survival at some pairs of transplant sites but not others.”
Demographic fate of Arabidopsis thaliana cohorts of autumn‐ and spring‐germinated plants along an altitudinal gradient (2012, background): “…accounts for the species’ diverse geographic and environmental distribution from reciprocal transplants (Donohue et al. 2005a,b; Wilczek et al. 2009; Fournier-Level et al. 2011), common garden (Weinig, Stinchcombe & Schmitt 2003; Griffith, Kim & Donohue 2004; Donohue et al. 2005a,b,c; Malmberg et…”
The advantages and limitations of trait analysis with GWAS: a review (2013, background): “For reasons including local adaptation, different variants may underlie a trait in samples collected from different locations [26].”
A practical guide to environmental association analysis in landscape genomics (2015, background): “Conversely, Fournier-Level et al. (2011) grew hundreds of inbred A. thaliana lines derived from natural populations across their native distribution and planted them in four European field sites (common gardens) that spanned the species’ native range.”
The impact of global climate change on genetic diversity within populations and species (2013, background): “1841 are locally adapted to climate conditions and show that relative fitness is linked to specific climate-adapted genetic loci (Fournier-Level et al. 2011; Hancock et al. 2011).”
Genotype-by-Environment Interaction and Plasticity: Exploring Genomic Responses of Plants to the Abiotic Environment (2013, background): “…in natural populations have recently found evidence for the importance of conditionally neutral alleles for fitness (Anderson et al. 2013; Fournier-Level et al. 2011, 2013; Hall et al. 2010; Lowry et al. 2009), only weak trade-offs underlying local adaptation (Fry 1993, 1996; Hereford…”
Putting the landscape into the genomics of trees: approaches for understanding local adaptation and population responses to changing climate (2013, background): “thaliana suggest that some loci may be adaptive in some environments and selectively neutral in others (Fournier-Level et al. 2011).”
Assisted Gene Flow to Facilitate Local Adaptation to Climate Change (2013, background): “Natural populations of Arabidopsis thaliana show local adaptation to climate for phenotypic traits and for genomic markers (Fournier-Level et al. 2011).”
Finding the Genomic Basis of Local Adaptation: Pitfalls, Practical Solutions, and Future Directions (2016, neutral): “The classic approach for demonstrating local adaptation relies on quantifying ﬁ tness or phenotypes in common garden or reciprocal transplant experiments (Anderson et al. 2010; Fournier-Level et al. 2011; Savolainen et al. 2013).”
Ecological genomics meets community-level modelling of biodiversity: mapping the genomic landscape of current and future environmental adaptation. (2015, background): “…the geographic distribution of subspecies (Pearman et al. 2010), lineages (Esp ındola et al. 2012; D’Amen et al. 2013; Yannic et al. 2014), genotypes or genetic clusters (Banta et al. 2012; Jay et al. 2012), climate zones (Sork et al. 2010) or molecular marker loci (Fournier-Level et al. 2011).”
Climate change, adaptation, and phenotypic plasticity: the problem and the evidence (2014, background): “Directly, one can genotype individuals and then measure their fitness (e.g., Fournier-Level et al. 2011) or, if individuals cannot be tracked in this manner, allele frequency differences can be measured between age groups.”