Stochasticity explains non-genetic inheritance of lifespan and apparent trade-offs between reproduction and ageing
Drake, E. D.; Simons, M.
Show abstract
Stochastic effects are central to the biology and demography of ageing. Genetically identical individuals do not all die at the exact same time but show a distribution of lifespan. Although such effects are appreciated, any cascading effects from stochastic effects of ageing are underappreciated. We show here that genetically identical female flies (Drosophila melanogaster) that live long, produce longer lived daughters. In line with previous work, we also find that daughters born to older mothers are shorter lived, also termed the Lansing effect. We further show that longer-lived flies produce less offspring, suggesting an apparent trade-off due to stochastic effects alone. We explain these effects using an extension of the reliability theory of ageing by dichotomising ageing physiology in reproduction and lifespan supporting units. These simple models reproduce non-genetic inheritance of lifespan, the Lansing effect and trade-offs between reproduction and lifespan. Our work implies that if non-genetic inheritance of lifespan is widespread it explains the generally low heritability of this trait. Furthermore, trade-offs between performance, e.g. reproduction, and lifespan may be less widespread than predicted by evolutionary biology of ageing, stemming from stochasticity rather than differential investment. Anti-ageing treatments therefore come without any unintended costs to other physiology, a perceived risk that limits translation of these treatments to humans.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Suppression rather than activation of the integrated-stress-response (GCN2-ATF4) pathway extends lifespan in the fly 93%
- Swim exercise in C. elegans extends neuromuscular and intestinal healthspan, enhances learning ability, and protects against neurodegeneration 92%
- Pervasive convergent evolution and extreme phenotypes define chaperone requirements of protein homeostasis 92%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.