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Two stochastic processes shape diverse senescence patterns in a single-cell organism

机译:两种随机过程在单细胞生物中形成不同的衰老模式

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Despite advances in aging research, a multitude of aging models, and empirical evidence for diverse senescence patterns, understanding of the biological processes that shape senescence is lacking. We show that senescence of an isogenic Escherichia coli bacterial population results from two stochastic processes. The first process is a random deterioration process within the cell, such as generated by random accumulation of damage. This primary process leads to an exponential increase in mortality early in life followed by a late age mortality plateau. The second process relates to the stochastic asymmetric transmission at cell fission of an unknown factor that influences mortality. This secondary process explains the difference between the classical mortality plateaus detected for young mothers' offspring and the near nonsenescence of old mothers' offspring as well as the lack of a mother-offspring correlation in age at death. We observed that lifespan is predominantly determined by underlying stochastic stage dynamics. Surprisingly, our findings support models developed for metazoans that base their arguments on stage-specific actions of alleles to understand the evolution of senescence. We call for exploration of similar stochastic influences that shape aging patterns beyond simple organisms.
机译:尽管老龄化研究进展,但多种老化模型以及多种衰老模式的经验证据,缺乏对衰老的生物过程的理解。我们展示了两种随机过程的中源性大肠杆菌细菌群体的衰老。第一过程是电池内的随机劣化过程,例如通过随机累积损坏而产生的。这种主要过程导致生活中早期死亡率的指数增加,其次是晚期死亡率高原。第二种方法涉及一种影响死亡率的未知因子的细胞裂缝的随机不对称传输。这个二级过程解释了年轻母亲后代检测到的经典死亡率平台与旧母亲后代的近期不注心以及死亡时代的母后代相关性。我们观察到寿命主要由潜在的随机阶段动态决定。令人惊讶的是,我们的调查结果支持为美达托人开发的模型,这些模型将其论点基于等位基因的阶段特定行动,了解衰老的演变。我们呼吁探索类似的随机影响,以形成超出简单生物的老化模式。

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