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Biotic interactions promote local adaptation to soil in plants

Author

Listed:
  • Thomas Dorey

    (University of Zürich
    University of Basel)

  • Léa Frachon

    (University of Zürich
    Univ. Bourgogne Franche-Comté)

  • Loren H. Rieseberg

    (University of British Columbia)

  • Julia M. Kreiner

    (University of British Columbia)

  • Florian P. Schiestl

    (University of Zürich)

Abstract

Although different ecological factors shape adaptative evolution in natural habitats, we know little about how their interactions impact local adaptation. Here we used eight generations of experimental evolution with outcrossing Brassica rapa plants as a model system, in eight treatment groups that varied in soil type, herbivory (with/without aphids), and pollination mode (hand- or bumblebee-pollination), to study how biotic interactions affect local adaptation to soil. First, we show that several plant traits evolved in response to biotic interactions in a soil-specific way. Second, using a reciprocal transplant experiment, we demonstrate that significant local adaptation to soil-type evolved in the “number of open flowers”, a trait used as a fitness proxy, but only in plants that evolved with herbivory and bee pollination. Whole genome re-sequencing of experimental lines revealed that biotic interactions caused a 10-fold increase in the number of SNPs across the genome with significant allele frequency change, and that alleles with opposite allele frequency change in different soil types (antagonistic pleiotropy) were most common in plants with an evolutionary history of herbivory and bee pollination. Our results demonstrate that the interaction with mutualists and antagonists can facilitate local adaptation to soil type through antagonistic pleiotropy.

Suggested Citation

  • Thomas Dorey & Léa Frachon & Loren H. Rieseberg & Julia M. Kreiner & Florian P. Schiestl, 2024. "Biotic interactions promote local adaptation to soil in plants," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-49383-x
    DOI: 10.1038/s41467-024-49383-x
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    References listed on IDEAS

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    1. Marco Todesco & Gregory L. Owens & Natalia Bercovich & Jean-Sébastien Légaré & Shaghayegh Soudi & Dylan O. Burge & Kaichi Huang & Katherine L. Ostevik & Emily B. M. Drummond & Ivana Imerovski & Kathry, 2020. "Massive haplotypes underlie ecotypic differentiation in sunflowers," Nature, Nature, vol. 584(7822), pages 602-607, August.
    2. Daniel D. L. Gervasi & Florian P Schiestl, 2017. "Real-time divergent evolution in plants driven by pollinators," Nature Communications, Nature, vol. 8(1), pages 1-8, April.
    3. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    4. Thomas Dorey & Florian P. Schiestl, 2024. "Bee-pollination promotes rapid divergent evolution in plants growing in different soils," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    5. Jake M. Alexander & Jeffrey M. Diez & Jonathan M. Levine, 2015. "Novel competitors shape species’ responses to climate change," Nature, Nature, vol. 525(7570), pages 515-518, September.
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