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Erez, K.

Publications and source records attributed to Erez, K..

2 recordsLinked to original sources

Reconciling conflicting selection pressures in the plant collaborative non-self recognition self-incompatibility system

Complex biological systems should often reconcile conflicting selection pressures. In systems based on molecular recognition, molecules must specifically identify certain partners while excluding others. Here we study how such selection pressures shape the evolution of the self-incompatibility system in plants. This system inhibits self-fertilization using specific molecular recognition between proteins, expressed in the plant female and male reproductive organs. We study the impact of these opposing selection pressures on the amino acid frequencies in these proteins recognition domain. We construct a theoretical framework enabling promiscuous recognition between proteins, as found empirically, and employ stochastic simulations to study its evolution. We find that selection exerts asymmetric responses of amino acid frequencies, affecting female proteins considerably, but hardly the male. Using large deviations theory, we well-approximate the simulated frequencies and find agreement with genomic data. Our work offers a general theoretical framework to study the impact of multiple selection pressures, applicable to additional biological systems.

genetics↗

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

How do biological networks evolve and expand and which parameters determine their size? 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 alleles an individual possesses determines its mating partners. Though highly diverse, previous models struggled to pinpoint the evolutionary trajectories by which new alleles evolved. Here, we construct a novel theoretical frame-work, that crucially affords interaction promiscuity and multiple distinct partners per protein, empirical findings disregarded by previous models. We demonstrate a dynamic long-term balance between allele emergence and extinction, where their equilibrium number depends on population parameters. 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.

evolutionary biology↗