Fontana Alessandro, Wrobel Borys
Evolving Systems Laboratory, Faculty of Biology, Adam Mickiewicz University, Poznan, Poland.
Curr Aging Sci. 2014;7(1):48-53. doi: 10.2174/1874609807666140521111501.
In contrast to the first part of life (development), ageing appears to be under less strict genetic control. The precise timing of events so characteristic of development seems to loosen its grasp, while stochastic and environmental factors seem to become the dominant force. Evolutionary theories put forward a decreasing evolutionary pressure over the course of life as the reason behind this pattern, yet dissenting views on ageing as a genetically programmed process linger. In this paper we address this dissent by presenting insights from an artificial evolutionary-developmental system, ET, and propose a new evo-devo theory of ageing-a theory that sees ageing as a continuation of development in the postreproductive period. In this theory both development and ageing are under genetic control. Nonetheless, while gene expression patterns that drive development are optimised by evolution, patterns that drive ageing are not optimised, because evolutionary pressure decreases with age. For these reasons, during ageing the changes orchestrated by genes are "pseudorandom"- deterministic but erratic-and their effects on an individual's health are more likely to be detrimental than beneficial. As such, they contribute to the continuous deterioration of bodily functions that characterise ageing.
与生命的第一阶段(发育)不同,衰老似乎受到的基因控制没那么严格。发育过程中那些极具特征性的事件的精确时间安排似乎不再那么严格,而随机因素和环境因素似乎成为了主导力量。进化理论提出,随着生命进程的推进,进化压力不断减小,这是这种模式背后的原因,然而,关于衰老是否是一个基因编程过程的不同观点依然存在。在本文中,我们通过展示来自人工进化发育系统ET的见解来回应这种分歧,并提出一种新的衰老进化发育理论——一种将衰老视为生殖后期发育延续的理论。在这个理论中,发育和衰老都受基因控制。尽管如此,驱动发育的基因表达模式是通过进化优化的,而驱动衰老的模式则没有得到优化,因为进化压力会随着年龄增长而降低。出于这些原因,在衰老过程中,由基因精心安排的变化是“伪随机的”——具有确定性但不稳定——而且它们对个体健康的影响更可能是有害而非有益的。因此,它们导致了表征衰老的身体机能的持续衰退。