Figure 4. How mortality deconvolution can decipher survival curves.

(a) Log mortality rate of an idealized wild-type population. P and p survival were adapted from the P and p death survival calculations in Fig. 1g, and the survival proportions of the whole population were calculated, assuming that P death is 40% of the population and p death is 60%. The resulting survival data were used to calculate the log mortality rate. Arrows show the direction of mortality rate shift by transformations of survival data resulting in lifespan changes shown in (b–e). Dotted lines, wild-type data; solid lines, data after specified transformation. (b) 90% decrease in P deaths. (c) 90% increase in P deaths. (d) 10-day delay in P deaths. (e) No change in P deaths, with 10-day delay in p deaths. For mortality rate plots for (b–e), see Supplementary Fig. 11.