Early eukaryogenesis by host-initiated obligate ectosymbiosis and metabolic inhibition

Nandakishor Krishnan, Ádám Kun, Chaitanya S. Gokhale, József Garay
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Abstract

The evolution of cellular-level symbiosis in microbes is a significant phenomenon to understand the origin of ancestral eukaryotic cells from prokaryotes. Though syntrophy is considered to be the initial interaction mechanism between the involved individuals, the process of internalization (endosymbiosis) and integration to form a symbiotic consortium requires better clarity. This work deals with a theoretical model based on the hypothesis that an intermediate ectosymbiosis might have evolved before complete endosymbiosis. Assuming an already syntrophic environment of free-living hosts and symbionts, we investigate how obligate ectosymbiosis can evolve between the individuals of different species. An asymmetric multilevel selection approach is considered to mechanistically analyze the driving factors in the formation and fixation of the symbiotic consortia. A metabolite-based growth rate and growth inhibition are utilized to effectively model the ecological selection dynamics between the host and the symbiont species. We observed that reduced metabolic growth inhibition due to the effective reduction in exposure to toxic metabolites by the common surface area of contact might be an incentive to stabilize the ectosymbiotic consortia. Furthermore, robust syntrophy between the host and their ectosymbionts might have facilitated obligacy in their association. The model gives insights into the critical elements in the evolution of endosymbiotic features.
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通过宿主启动的强制性外共生和代谢抑制作用实现早期真核生成
微生物中细胞级共生的进化是了解祖先真核细胞起源于原核细胞的一个重要现象。虽然合成作用被认为是相关个体之间最初的相互作用机制,但内化(内共生)和整合以形成共生联合体的过程还需要进一步明确。这项工作涉及一个理论模型,该模型基于这样一个假设:在完全内共生之前,可能已经进化出一种中间外共生。假设自由生活的宿主和共生体已经处于合成环境中,我们研究了不同物种个体之间如何进化出强制性外共生。我们考虑采用非对称多层次选择方法,从机理上分析共生联合体形成和固定的驱动因素。利用基于代谢物的生长率和生长抑制来有效模拟宿主和共生物种之间的生态选择动态。我们观察到,由于共同的接触表面积有效减少了有毒代谢物的暴露,从而降低了新陈代谢对生长的抑制,这可能是稳定外生共生联合体的一个激励因素。此外,宿主与其外生共生体之间强大的合成作用可能会促进它们之间的联合。该模型使人们对内共生特征进化过程中的关键因素有了更深入的了解。
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