Program in Bioinformatics and Systems Biology, University of California San Diego, La Jolla, California, United States of America.
Physiological Sciences Graduate Interdisciplinary Program, University of Arizona, Tucson, Arizona, United States of America.
PLoS One. 2014 Jan 21;9(1):e86602. doi: 10.1371/journal.pone.0086602. eCollection 2014.
The evolutionary theories of aging are useful for gaining insights into the complex mechanisms underlying senescence. Classical theories argue that high levels of extrinsic mortality should select for the evolution of shorter lifespans and earlier peak fertility. Non-classical theories, in contrast, posit that an increase in extrinsic mortality could select for the evolution of longer lifespans. Although numerous studies support the classical paradigm, recent data challenge classical predictions, finding that high extrinsic mortality can select for the evolution of longer lifespans. To further elucidate the role of extrinsic mortality in the evolution of aging, we implemented a stochastic, agent-based, computational model. We used a simulated annealing optimization approach to predict which model parameters predispose populations to evolve longer or shorter lifespans in response to increased levels of predation. We report that longer lifespans evolved in the presence of rising predation if the cost of mating is relatively high and if energy is available in excess. Conversely, we found that dramatically shorter lifespans evolved when mating costs were relatively low and food was relatively scarce. We also analyzed the effects of increased predation on various parameters related to density dependence and energy allocation. Longer and shorter lifespans were accompanied by increased and decreased investments of energy into somatic maintenance, respectively. Similarly, earlier and later maturation ages were accompanied by increased and decreased energetic investments into early fecundity, respectively. Higher predation significantly decreased the total population size, enlarged the shared resource pool, and redistributed energy reserves for mature individuals. These results both corroborate and refine classical predictions, demonstrating a population-level trade-off between longevity and fecundity and identifying conditions that produce both classical and non-classical lifespan effects.
衰老的进化理论有助于深入了解衰老的复杂机制。经典理论认为,高水平的外在死亡率应该选择较短的寿命和较早的峰值生育能力。相比之下,非经典理论认为,外在死亡率的增加可能会选择更长的寿命。尽管许多研究支持经典范式,但最近的数据挑战了经典预测,发现高外在死亡率可以选择更长的寿命。为了进一步阐明外在死亡率在衰老进化中的作用,我们实施了一个随机的、基于代理的计算模型。我们使用模拟退火优化方法来预测哪些模型参数会使种群倾向于在增加捕食水平时进化出更长或更短的寿命。我们报告说,如果交配成本相对较高,并且有多余的能量可用,那么在捕食率上升的情况下,寿命会更长。相反,如果交配成本相对较低,食物相对稀缺,我们发现寿命会显著缩短。我们还分析了增加捕食对与密度依赖和能量分配相关的各种参数的影响。寿命更长和更短伴随着能量投入到身体维持的增加和减少,分别。同样,成熟年龄更早和更晚伴随着早期生育力的能量投入增加和减少,分别。更高的捕食率显著降低了总种群规模,扩大了共享资源池,并重新分配了成熟个体的能量储备。这些结果既证实了经典预测,又细化了经典预测,表明在长寿和繁殖力之间存在群体水平的权衡,并确定了产生经典和非经典寿命效应的条件。