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      Lagging adaptation to warming climate in Arabidopsis thaliana.

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          Abstract

          If climate change outpaces the rate of adaptive evolution within a site, populations previously well adapted to local conditions may decline or disappear, and banked seeds from those populations will be unsuitable for restoring them. However, if such adaptational lag has occurred, immigrants from historically warmer climates will outperform natives and may provide genetic potential for evolutionary rescue. We tested for lagging adaptation to warming climate using banked seeds of the annual weed Arabidopsis thaliana in common garden experiments in four sites across the species' native European range: Valencia, Spain; Norwich, United Kingdom; Halle, Germany; and Oulu, Finland. Genotypes originating from geographic regions near the planting site had high relative fitness in each site, direct evidence for broad-scale geographic adaptation in this model species. However, genotypes originating in sites historically warmer than the planting site had higher average relative fitness than local genotypes in every site, especially at the northern range limit in Finland. This result suggests that local adaptive optima have shifted rapidly with recent warming across the species' native range. Climatic optima also differed among seasonal germination cohorts within the Norwich site, suggesting that populations occurring where summer germination is common may have greater evolutionary potential to persist under future warming. If adaptational lag has occurred over just a few decades in banked seeds of an annual species, it may be an important consideration for managing longer-lived species, as well as for attempts to conserve threatened populations through ex situ preservation.

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          Most cited references58

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          The Measurement of Selection on Correlated Characters

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            A high-resolution data set of surface climate over global land areas

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              A quantitative survey of local adaptation and fitness trade-offs.

              The long history of reciprocal transplant studies testing the hypothesis of local adaptation has shown that populations are often adapted to their local environments. Yet many studies have not demonstrated local adaptation, suggesting that sometimes native populations are no better adapted than are genotypes from foreign environments. Local adaptation may also lead to trade-offs, in which adaptation to one environment comes at a cost of adaptation to another environment. I conducted a survey of published studies of local adaptation to quantify its frequency and magnitude and the costs associated with local adaptation. I also quantified the relationship between local adaptation and environmental differences and the relationship between local adaptation and phenotypic divergence. The overall frequency of local adaptation was 0.71, and the magnitude of the native population advantage in relative fitness was 45%. Divergence between home site environments was positively associated with the magnitude of local adaptation, but phenotypic divergence was not. I found a small negative correlation between a population's relative fitness in its native environment and its fitness in a foreign environment, indicating weak trade-offs associated with local adaptation. These results suggest that populations are often locally adapted but stochastic processes such as genetic drift may limit the efficacy of divergent selection.
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                Author and article information

                Journal
                Proc. Natl. Acad. Sci. U.S.A.
                Proceedings of the National Academy of Sciences of the United States of America
                1091-6490
                0027-8424
                Jun 3 2014
                : 111
                : 22
                Affiliations
                [1 ] Department of Ecology and Evolutionary Biology, Brown University, Providence, RI 02912;Department of Natural Sciences, Deep Springs College, Big Pine, CA 93513;
                [2 ] Department of Ecology and Evolutionary Biology, Brown University, Providence, RI 02912;
                [3 ] Department of Ecology and Evolutionary Biology, Brown University, Providence, RI 02912;Data Analytics Department, The MITRE Corporation, Bedford, MA 01730-1420; and.
                [4 ] Department of Ecology and Evolutionary Biology, Brown University, Providence, RI 02912;Department of Evolution and Ecology, University of California, Davis, CA 95616 jschmitt@ucdavis.edu.
                Article
                1406314111
                10.1073/pnas.1406314111
                24843140
                aafb41a4-a277-4be3-9e21-51d2d9c29090
                History

                adaptation lag,cliimate adaptation,local adaptation,provenance test

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