The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, Faculty of Agriculture, The Hebrew University of Jerusalem, P.O. Box 12, Rehovot, 7610001, Israel.
The Einstein Institute of Mathematics, Faculty of Natural Sciences, The Hebrew University of Jerusalem, Jerusalem, 9190401, Israel.
Nat Commun. 2024 Jun 7;15(1):4864. doi: 10.1038/s41467-024-49163-7.
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.
生物网络是如何进化和扩展的?我们在植物合作-非自我识别自我不相容系统的背景下研究这些问题。自我不相容性是为了避免雌雄同体植物的自交而进化的。它依赖于两个家族的高度多样化蛋白质之间的特异性分子识别:雌性和雄性决定因素,使得个体所拥有的基因组合决定其交配伙伴。尽管高度多态性,但以前的模型很难确定新特异性进化的进化轨迹。在这里,我们构建了一个新的理论框架,关键是提供相互作用的混杂性和每个蛋白质的多个不同的伙伴,这在以前的模型所忽略的经验发现中可以看到。我们证明了种群自发地自我组织成具有完全的类间相容性的不同“类”,以及类的出现和消失之间的动态长期平衡。我们的工作强调了分子识别混杂性对网络可进化性的重要性。在其他系统中也发现了混杂性,这表明我们的框架可能具有更广泛的适用性。