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Parallel reduction in flowering time from de novo mutations enable evolutionary rescue in colonizing lineages

Author

Listed:
  • Andrea Fulgione

    (Max Planck Institute for Plant Breeding Research
    University of Vienna
    Vienna Graduate School for Population Genetics)

  • Célia Neto

    (Max Planck Institute for Plant Breeding Research)

  • Ahmed F. Elfarargi

    (Max Planck Institute for Plant Breeding Research)

  • Emmanuel Tergemina

    (Max Planck Institute for Plant Breeding Research)

  • Shifa Ansari

    (Max Planck Institute for Plant Breeding Research)

  • Mehmet Göktay

    (Max Planck Institute for Plant Breeding Research)

  • Herculano Dinis

    (Parque Natural do Fogo, Direção Nacional do Ambiente
    Associação Projecto Vitó)

  • Nina Döring

    (Max Planck Institute for Plant Breeding Research)

  • Pádraic J. Flood

    (Max Planck Institute for Plant Breeding Research)

  • Sofia Rodriguez-Pacheco

    (Max Planck Institute for Plant Breeding Research)

  • Nora Walden

    (Centre for Organismal Studies (COS) Heidelberg, Biodiversity and Plant Systematics, Heidelberg University
    Wageningen University)

  • Marcus A. Koch

    (Centre for Organismal Studies (COS) Heidelberg, Biodiversity and Plant Systematics, Heidelberg University)

  • Fabrice Roux

    (LIPME, Université de Toulouse, INRAE, CNRS)

  • Joachim Hermisson

    (University of Vienna)

  • Angela M. Hancock

    (Max Planck Institute for Plant Breeding Research
    University of Vienna)

Abstract

Understanding how populations adapt to abrupt environmental change is necessary to predict responses to future challenges, but identifying specific adaptive variants, quantifying their responses to selection and reconstructing their detailed histories is challenging in natural populations. Here, we use Arabidopsis from the Cape Verde Islands as a model to investigate the mechanisms of adaptation after a sudden shift to a more arid climate. We find genome-wide evidence of adaptation after a multivariate change in selection pressures. In particular, time to flowering is reduced in parallel across islands, substantially increasing fitness. This change is mediated by convergent de novo loss of function of two core flowering time genes: FRI on one island and FLC on the other. Evolutionary reconstructions reveal a case where expansion of the new populations coincided with the emergence and proliferation of these variants, consistent with models of rapid adaptation and evolutionary rescue.

Suggested Citation

  • Andrea Fulgione & Célia Neto & Ahmed F. Elfarargi & Emmanuel Tergemina & Shifa Ansari & Mehmet Göktay & Herculano Dinis & Nina Döring & Pádraic J. Flood & Sofia Rodriguez-Pacheco & Nora Walden & Marcu, 2022. "Parallel reduction in flowering time from de novo mutations enable evolutionary rescue in colonizing lineages," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-28800-z
    DOI: 10.1038/s41467-022-28800-z
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    References listed on IDEAS

    as
    1. Sergey Kryazhimskiy & Joshua B Plotkin, 2008. "The Population Genetics of dN/dS," PLOS Genetics, Public Library of Science, vol. 4(12), pages 1-10, December.
    2. Aaron J Stern & Peter R Wilton & Rasmus Nielsen, 2019. "An approximate full-likelihood method for inferring selection and allele frequency trajectories from DNA sequence data," PLOS Genetics, Public Library of Science, vol. 15(9), pages 1-32, September.
    3. Gregory I. Lang & Daniel P. Rice & Mark J. Hickman & Erica Sodergren & George M. Weinstock & David Botstein & Michael M. Desai, 2013. "Pervasive genetic hitchhiking and clonal interference in forty evolving yeast populations," Nature, Nature, vol. 500(7464), pages 571-574, August.
    4. Kuhn, Max, 2008. "Building Predictive Models in R Using the caret Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 28(i05).
    5. Daniel John Lawson & Garrett Hellenthal & Simon Myers & Daniel Falush, 2012. "Inference of Population Structure using Dense Haplotype Data," PLOS Genetics, Public Library of Science, vol. 8(1), pages 1-16, January.
    6. Jerome Kelleher & Alison M Etheridge & Gilean McVean, 2016. "Efficient Coalescent Simulation and Genealogical Analysis for Large Sample Sizes," PLOS Computational Biology, Public Library of Science, vol. 12(5), pages 1-22, May.
    7. Jonathan B. Losos & Kenneth I. Warheitt & Thomas W. Schoener, 1997. "Adaptive differentiation following experimental island colonization in Anolis lizards," Nature, Nature, vol. 387(6628), pages 70-73, May.
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    1. Ling-Zi Li & Zhou-Geng Xu & Tian-Gen Chang & Long Wang & Heng Kang & Dong Zhai & Lu-Yi Zhang & Peng Zhang & Hongtao Liu & Xin-Guang Zhu & Jia-Wei Wang, 2023. "Common evolutionary trajectory of short life-cycle in Brassicaceae ruderal weeds," Nature Communications, Nature, vol. 14(1), pages 1-15, December.

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