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Environmental fluctuations accelerate molecular evolution of thermal tolerance in a marine diatom

Author

Listed:
  • C.-Elisa Schaum

    (University of Exeter
    Hamburg University)

  • A. Buckling

    (University of Exeter)

  • N. Smirnoff

    (Geoffrey Pope Building University of Exeter)

  • D. J. Studholme

    (Geoffrey Pope Building University of Exeter)

  • G. Yvon-Durocher

    (University of Exeter)

Abstract

Diatoms contribute roughly 20% of global primary production, but the factors determining their ability to adapt to global warming are unknown. Here we quantify the capacity for adaptation to warming in the marine diatom Thalassiosira pseudonana. We find that evolutionary rescue under severe (32 °C) warming is slow, but adaptation to more realistic scenarios where temperature increases are moderate (26 °C) or fluctuate between benign and severe conditions is rapid and linked to phenotypic changes in metabolic traits and elemental composition. Whole-genome re-sequencing identifies genetic divergence among populations selected in the different warming regimes and between the evolved and ancestral lineages. Consistent with the phenotypic changes, the most rapidly evolving genes are associated with transcriptional regulation, cellular responses to oxidative stress and redox homeostasis. These results demonstrate that the evolution of thermal tolerance in marine diatoms can be rapid, particularly in fluctuating environments, and is underpinned by major genomic and phenotypic change.

Suggested Citation

  • C.-Elisa Schaum & A. Buckling & N. Smirnoff & D. J. Studholme & G. Yvon-Durocher, 2018. "Environmental fluctuations accelerate molecular evolution of thermal tolerance in a marine diatom," Nature Communications, Nature, vol. 9(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-03906-5
    DOI: 10.1038/s41467-018-03906-5
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    Cited by:

    1. Hinners, Jana & Hense, Inga & Kremp, Anke, 2019. "Modelling phytoplankton adaptation to global warming based on resurrection experiments," Ecological Modelling, Elsevier, vol. 400(C), pages 27-33.

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