Journal article
Predicting the evolutionary dynamics of seasonal adaptation to novel climates in Arabidopsis thaliana
Alexandre Fournier-Level, Emily O Perry, Jonathan A Wang, Peter T Braun, Andrew Migneault, Martha D Cooper, C Jessica E Metcalf, Johanna Schmitt
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA | NATL ACAD SCIENCES | Published : 2016
Abstract
Predicting whether and how populations will adapt to rapid climate change is a critical goal for evolutionary biology. To examine the genetic basis of fitness and predict adaptive evolution in novel climates with seasonal variation, we grew a diverse panel of the annual plant Arabidopsis thaliana (multiparent advanced generation intercross lines) in controlled conditions simulating four climates: a present-day reference climate, an increased-temperature climate, a winter-warming only climate, and a poleward-migration climate with increased photoperiod amplitude. In each climate, four successive seasonal cohorts experienced dynamic daily temperature and photoperiod variation over a year. We m..
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Awarded by National Science Foundation
Awarded by Human Frontier Science Program Organization Fellowship
Funding Acknowledgements
We thank F. Evans, J. Polien, A. Hersey, and R. Wu for technical assistance and F. V. Jackson and B. Leib for managing the greenhouse facilities. We also thank F. Blanquart, P. C. Griffin, M. Nordborg, A. A. Hoffmann, and the three reviewers for very insightful comments. This work was supported by National Science Foundation Grants IOS 0935589, DEB 1020111, and DEB 1447203 (to J.S.) and Human Frontier Science Program Organization Fellowship LT000907/2012-L (to A.F.-L.).