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The role of promiscuous molecular recognition in the evolution of RNase-based self-incompatibility in plants

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  • Keren Erez

    (The Hebrew University of Jerusalem)

  • Amit Jangid

    (The Hebrew University of Jerusalem)

  • Ohad Noy Feldheim

    (The Hebrew University of Jerusalem)

  • Tamar Friedlander

    (The Hebrew University of Jerusalem)

Abstract

How do biological networks evolve and expand? We study these questions in the context of the plant collaborative-non-self recognition self-incompatibility system. Self-incompatibility evolved to avoid self-fertilization among hermaphroditic plants. It relies on specific molecular recognition between highly diverse proteins of two families: female and male determinants, such that the combination of genes an individual possesses determines its mating partners. Though highly polymorphic, previous models struggled to pinpoint the evolutionary trajectories by which new specificities evolved. Here, we construct a novel theoretical framework, that crucially affords interaction promiscuity and multiple distinct partners per protein, as is seen in empirical findings disregarded by previous models. We demonstrate spontaneous self-organization of the population into distinct “classes” with full between-class compatibility and a dynamic long-term balance between class emergence and decay. Our work highlights the importance of molecular recognition promiscuity to network evolvability. Promiscuity was found in additional systems suggesting that our framework could be more broadly applicable.

Suggested Citation

  • Keren Erez & Amit Jangid & Ohad Noy Feldheim & Tamar Friedlander, 2024. "The role of promiscuous molecular recognition in the evolution of RNase-based self-incompatibility in plants," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-49163-7
    DOI: 10.1038/s41467-024-49163-7
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    References listed on IDEAS

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    1. Shou-Wen Wang & Anne-Florence Bitbol & Ned S Wingreen, 2019. "Revealing evolutionary constraints on proteins through sequence analysis," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-16, April.
    2. Rok Grah & Tamar Friedlander, 2020. "The relation between crosstalk and gene regulation form revisited," PLOS Computational Biology, Public Library of Science, vol. 16(2), pages 1-24, February.
    3. Tamar Friedlander & Roshan Prizak & Călin C. Guet & Nicholas H. Barton & Gašper Tkačik, 2016. "Intrinsic limits to gene regulation by global crosstalk," Nature Communications, Nature, vol. 7(1), pages 1-12, November.
    4. Tamar Friedlander & Roshan Prizak & Nicholas H. Barton & Gašper Tkačik, 2017. "Evolution of new regulatory functions on biophysically realistic fitness landscapes," Nature Communications, Nature, vol. 8(1), pages 1-11, December.
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