Understanding the genetic bases and modes of adaptation to current climatic conditions is essential to accurately predict responses to future environmental change. We conducted a genome-wide scan to identify climate-adaptive genetic loci and pathways in the plant Arabidopsis thaliana. Amino acid-changing variants were significantly enriched among the loci strongly correlated with climate, suggesting that our scan effectively detects adaptive alleles. Moreover, from our results, we successfully predicted relative fitness among a set of geographically diverse A. thaliana accessions when grown together in a common environment. Our results provide a set of candidates for dissecting the molecular bases of climate adaptations, as well as insights about the prevalence of selective sweeps, which has implications for predicting the rate of adaptation.
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Brown Univ, Dept Ecol & Evolutionary Biol, Providence, RI 02912 USA
Deep Springs Coll, Dept Nat Sci, Big Pine, CA 93513 USABrown Univ, Dept Ecol & Evolutionary Biol, Providence, RI 02912 USA
Wilczek, Amity M.
Cooper, Martha D.
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Brown Univ, Dept Ecol & Evolutionary Biol, Providence, RI 02912 USABrown Univ, Dept Ecol & Evolutionary Biol, Providence, RI 02912 USA
Cooper, Martha D.
Korves, Tonia M.
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Brown Univ, Dept Ecol & Evolutionary Biol, Providence, RI 02912 USA
Mitre Corp, Data Analyt Dept, Bedford, MA 01730 USABrown Univ, Dept Ecol & Evolutionary Biol, Providence, RI 02912 USA
Korves, Tonia M.
Schmitt, Johanna
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Brown Univ, Dept Ecol & Evolutionary Biol, Providence, RI 02912 USA
Univ Calif Davis, Dept Ecol & Evolut, Davis, CA 95616 USABrown Univ, Dept Ecol & Evolutionary Biol, Providence, RI 02912 USA