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. Author manuscript; available in PMC: 2023 Dec 11.
Published in final edited form as: J Vis Exp. 2022 Dec 9;(190):10.3791/64681. doi: 10.3791/64681

Figure 2: Correlation of measured phenotypes across populations in individual animals using multi-well devices.

Figure 2:

All the panels provide data from the same experiment comparing four groups of animals: wild-type (N2) animals subject to empty vector EV(RNAi) (N = 138), wild-type animals subject to daf-2(RNAi) (N = 151), daf-16(mu86) animals subject to EV(RNAi) (N = 123), and daf-16(mu86) animals subject to daf-2(RNAi) (N = 135). (A) The lifespan extension from daf-2(RNAi) is blocked by the daf-16(mu86) null mutation. Pairwise significance between groups determined by the log-rank test (survdiff function in R). (B) The healthspan-defined here as the day at which an animal can no longer move a full body length-extension from daf-2(RNAi) is blocked by the daf-16(mu86) null mutation. Pairwise significance between groups determined by the log-rank test (survdiff function in R). (C) The 3 day rolling mean of activity across the lifespan is reduced by both daf-16(mu86) and daf-2(RNAi). Significance calculated by the Mann-Whitney U test to compare the area under the curve for activity across the lifespan for individual animals between groups. (D) Healthspan and lifespan for each population as absolute values (mean ± standard error of the mean). (E) Healthspan and lifespan for each population normalized to total lifespan within each group (mean ± standard error of the mean). (F) The cumulative activity across the lifespan (area under the curve [AUC] across the lifespan) for individual animals correlates better with lifespan than (G) the activity for individual animals at any specific day across the lifespan (the activity correlation on day 8, representing the point at which the mean activity is maximized, is shown), as calculated by linear regression (lm function in R). n.s. = not significant, * p < 0.05, ** p < 0.01, *** p < 0.001. All p-values were adjusted for multiple comparisons using the Bonferroni method for comparisons made within each panel.