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

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...

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Veröffentlicht in:Nature communications 2024-06, Vol.15 (1), p.4864-16, Article 4864
Hauptverfasser: Erez, Keren, Jangid, Amit, Feldheim, Ohad Noy, Friedlander, Tamar
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Sprache:eng
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Zusammenfassung: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. Self-incompatibility evolved to avoid self-fertilization among hermaphroditic plants, yet it remains murky how this compatibility recognition evolved. This study constructs a theoretical framework incorporating promiscuous molecular recognition into the evolutionary model of incompatibility.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-024-49163-7