A computational approach to studying ageing at the individual level.

ABSTRACT: The ageing process is actively regulated throughout an organism's life, but studying the rate of ageing in individuals is difficult with conventional methods. Consequently, ageing studies typically make biological inference based on population mortality rates, which often do not accurately reflect the probabilities of death at the individual level. To study the relationship between individual and population mortality rates, we integrated in vivo switch experiments with in silico stochastic simulations to elucidate how carefully designed experiments allow key aspects of individual ageing to be deduced from group mortality measurements. As our case study, we used the recent report demonstrating that pheromones of the opposite sex decrease lifespan in Drosophila melanogaster by reversibly inc

SUBMITTER: Harvanek ZM 

PROVIDER: S-EPMC4760160 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature