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PREDICTIVE GENOMICS

Genomics helps to predict maladaptation to climate change

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The combination of highly resolved climatic and genomic data allows assessment of putative maladaptation of populations to climate change and can identify high-risk populations. Now, a study that accounts for migration and dispersal shows high maladaptation of a North American tree species in the northern and eastern distribution range.

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Fig. 1: Integrating migration to predict potential maladaptation to future climate change.

References

  1. Foden, W. B. et al. WIREs Clim. Change 10, 36 (2019).

    Article  Google Scholar 

  2. Waldvogel, A. M. et al. Evol. Lett. 4, 4–18 (2020).

    Article  Google Scholar 

  3. Gougherty, A. V., Keller, S. R. & Fitzpatrick, M. C. Nat. Clim. Change https://doi.org/10.1038/s41558-020-00968-6 (2021).

  4. Fitzpatrick, M. C. & Keller, S. R. Ecol. Lett. 18, 1–16 (2015).

    Article  Google Scholar 

  5. Bay, R. A. et al. Science 359, 83–86 (2018).

    Article  CAS  Google Scholar 

  6. Rellstab, C. et al. Mol. Ecol. 25, 5907–5924 (2016).

    Article  Google Scholar 

  7. Capblancq, T., Fitzpatrick, M. C., Bay, R. A., Exposito-Alonso, M. & Keller, S. R. Annu. Rev. Ecol. Evol. S. 51, 245–269 (2020).

    Article  Google Scholar 

  8. Keller, S. R., Chhatre, V. E. & Fitzpatrick, M. C. J. Hered. 109, 47–58 (2018).

    Article  CAS  Google Scholar 

  9. Aitken, S. N. & Whitlock, M. C. Annu. Rev. Ecol. Evol. S 44, 367–388 (2013).

    Article  Google Scholar 

  10. Exposito-Alonso, M. et al. Nat. Ecol. Evol. 2, 352–358 (2018).

    Article  Google Scholar 

  11. Plomion, C. et al. Ann. For. Sci. 73, 77–103 (2016).

    Article  Google Scholar 

Download references

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Authors and Affiliations

  1. Swiss Federal Research Institute WSL, Birmensdorf, Switzerland

    Christian Rellstab

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  1. Christian Rellstab
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Correspondence to Christian Rellstab.

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Rellstab, C. Genomics helps to predict maladaptation to climate change. Nat. Clim. Chang. 11, 85–86 (2021). https://doi.org/10.1038/s41558-020-00964-w

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