Werfel Justin, Ingber Donald E, Bar-Yam Yaneer
Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, Massachusetts, United States of America.
New England Complex Systems Institute, Cambridge, Massachusetts, United States of America.
PLoS One. 2017 Mar 29;12(3):e0173677. doi: 10.1371/journal.pone.0173677. eCollection 2017.
Standard evolutionary theories of aging and mortality, implicitly based on assumptions of spatial averaging, hold that natural selection cannot favor shorter lifespan without direct compensating benefit to individual reproductive success. However, a number of empirical observations appear as exceptions to or are difficult to reconcile with this view, suggesting explicit lifespan control or programmed death mechanisms inconsistent with the classic understanding. Moreover, evolutionary models that take into account the spatial distributions of populations have been shown to exhibit a variety of self-limiting behaviors, maintained through environmental feedback. Here we extend recent work on spatial modeling of lifespan evolution, showing that both theory and phenomenology are consistent with programmed death. Spatial models show that self-limited lifespan robustly results in long-term benefit to a lineage; longer-lived variants may have a reproductive advantage for many generations, but shorter lifespan ultimately confers long-term reproductive advantage through environmental feedback acting on much longer time scales. Numerous model variations produce the same qualitative result, demonstrating insensitivity to detailed assumptions; the key conditions under which self-limited lifespan is favored are spatial extent and locally exhaustible resources. Factors including lower resource availability, higher consumption, and lower dispersal range are associated with evolution of shorter lifespan. A variety of empirical observations can parsimoniously be explained in terms of long-term selective advantage for intrinsic mortality. Classically anomalous empirical data on natural lifespans and intrinsic mortality, including observations of longer lifespan associated with increased predation, and evidence of programmed death in both unicellular and multicellular organisms, are consistent with specific model predictions. The generic nature of the spatial model conditions under which intrinsic mortality is favored suggests a firm theoretical basis for the idea that evolution can quite generally select for shorter lifespan directly.
衰老和死亡率的标准进化理论隐含地基于空间平均的假设,认为自然选择不会在没有对个体繁殖成功产生直接补偿性益处的情况下青睐较短的寿命。然而,一些实证观察结果似乎是这一观点的例外情况,或者难以与之协调,这表明存在与经典理解不一致的明确寿命控制或程序性死亡机制。此外,考虑种群空间分布的进化模型已被证明表现出各种自我限制行为,并通过环境反馈得以维持。在此,我们扩展了近期关于寿命进化空间建模的工作,表明理论和现象学都与程序性死亡相一致。空间模型表明,自我限制的寿命能稳健地为一个谱系带来长期益处;寿命较长的变体可能在许多代中具有繁殖优势,但较短的寿命最终通过作用于更长时间尺度的环境反馈赋予长期繁殖优势。众多模型变体产生相同的定性结果,表明对详细假设不敏感;有利于自我限制寿命的关键条件是空间范围和局部可耗尽资源。包括较低的资源可用性、较高的消耗和较低的扩散范围等因素与较短寿命的进化相关。各种实证观察结果可以根据内在死亡率的长期选择优势进行简洁解释。关于自然寿命和内在死亡率的经典异常实证数据,包括与捕食增加相关的较长寿命观察结果,以及单细胞和多细胞生物中程序性死亡的证据,都与特定的模型预测一致。有利于内在死亡率的空间模型条件的一般性表明,进化可以相当普遍地直接选择较短寿命这一观点有坚实的理论基础。