Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Jun 16;12(1):3666.
doi: 10.1038/s41467-021-23894-3.

The long lives of primates and the 'invariant rate of ageing' hypothesis

Affiliations

The long lives of primates and the 'invariant rate of ageing' hypothesis

Fernando Colchero et al. Nat Commun. .

Abstract

Is it possible to slow the rate of ageing, or do biological constraints limit its plasticity? We test the 'invariant rate of ageing' hypothesis, which posits that the rate of ageing is relatively fixed within species, with a collection of 39 human and nonhuman primate datasets across seven genera. We first recapitulate, in nonhuman primates, the highly regular relationship between life expectancy and lifespan equality seen in humans. We next demonstrate that variation in the rate of ageing within genera is orders of magnitude smaller than variation in pre-adult and age-independent mortality. Finally, we demonstrate that changes in the rate of ageing, but not other mortality parameters, produce striking, species-atypical changes in mortality patterns. Our results support the invariant rate of ageing hypothesis, implying biological constraints on how much the human rate of ageing can be slowed.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1. The life expectancy–lifespan equality landscape for seven genera of primates for for both sexes.
a Life expectancy and lifespan equality regression lines for females; each species is represented by a different colour. b Life expectancy and lifespan equality regression lines for males. Each genus is characterised by a relatively constrained relationship between life expectancy and lifespan equality, and thus a distinct regression line; colours as in a. The central lines are the predicted fitted values of the regression and the type of line (e.g. continuous, dashed, or dotted) depicts three levels for the p values of the slopes (how significantly different from 0 they are, two-sided t test, H0: β1 = 0, Supplementary Table 1), while the shaded polygons show the 95% confidence intervals of the regressions. c The relationship between the Siler mortality parameters and the resulting mortality function, given by the equation μ(x) = exp(a0 – a1 x) + c + exp(b0 + b1 x), where infant and juvenile mortality (blue) are controlled by parameters a0 and a1, age-independent mortality (orange) is captured by c, and senescent mortality (green) is captured by b0 (initial adult mortality) and b1 (rate of ageing). d Each box shows how gradual changes in each Siler mortality parameter modify the life expectancy and lifespan equality values (thick purple lines). The green line in each box corresponds to the regression line for female chimpanzees, shown for reference to illustrate the general trends among all genus lines. The purple curves show the changes in life expectancy and lifespan equality after varying individual Siler parameters while holding the other parameters constant. Note the striking change in life expectancy and lifespan equality that would result from changes in the ageing parameters, particularly b1. See Supplementary Fig. S3 for plots that include individual points for each population. Source data to generate the regression lines are available in Supplementary Data 3.
Fig. 2
Fig. 2. Sensitivities of life expectancy and lifespan equality to changes in mortality parameters.
a Using the female chimpanzee line (bright green) as an example, vectors depict the sensitivity at the mid-point of the genus line. Each vector depicts the direction and magnitude of change in life expectancy and lifespan equality for a unit change in the corresponding Siler mortality parameter. The x- and y-axes show the life expectancy and lifespan equality values of the sensitivity vectors for a0 (light blue), a1 (dark blue), and b0 (light green); vectors for c (orange) and b1 (dark green) are particularly large, represented by broken lines (Source data are provided as a Source Data File and available in Supplementary Table 2). b Gradient field of sensitivities of life expectancy and lifespan equality to changes in each mortality parameter, showing the direction of change any population would experience for a given change in the parameter, from any starting point in the landscape. The green chimpanzee line is provided for reference. Each sensitivity vector (bright purple) can be interpreted as those in A, but calculated from different points on the landscape). c Boxplots representing the values of the seven collinearity values (one for each genus) for each of the Siler parameters for n = 7 independent genera. Collinearity is calculated between the mid-point of the genus line and the sensitivity vector for each parameter; a value of 1 would imply that the vector is parallel, a value of 0 would imply that it is perpendicular. Note the relatively large collinearity values for a0 (light blue), a1 (dark blue), and c (orange), the intermediate value for b0 (light green) and the relatively small value for b1 (dark green). The boxplots indicate median (horizontal black line), 25th and 75th percentiles (box), the whiskers are extend to 1.5 the interquartile range, and the open points are extreme values (Source data are provided as a Source Data File and available in Supplementary Table 3).
Fig. 3
Fig. 3. Relative magnitude of change of each parameter along the genus lines.
Pre-adult and age-independent mortality parameters (a0 a1, and c) vary several orders of magnitude more, within each genus, than the ageing parameters (b0 and b1). Colours: a0 (light blue) a1, (dark blue), c (orange), b0 (light green) and b1 (dark green). Values were calculated by numerically solving the path integral in Eq. (9) (see ‘Material and Methods’) for each parameter along each genus line. The y-axes were scaled by the logarithm base 10 to improve interpretability. ag depict results for females, and hn for males (Source data are provided as a Source Data File and available in Supplementary Table 4).

Similar articles

  • Aging in the natural world: comparative data reveal similar mortality patterns across primates.
    Bronikowski AM, Altmann J, Brockman DK, Cords M, Fedigan LM, Pusey A, Stoinski T, Morris WF, Strier KB, Alberts SC. Bronikowski AM, et al. Science. 2011 Mar 11;331(6022):1325-8. doi: 10.1126/science.1201571. Science. 2011. PMID: 21393544 Free PMC article.
  • Reproductive aging patterns in primates reveal that humans are distinct.
    Alberts SC, Altmann J, Brockman DK, Cords M, Fedigan LM, Pusey A, Stoinski TS, Strier KB, Morris WF, Bronikowski AM. Alberts SC, et al. Proc Natl Acad Sci U S A. 2013 Aug 13;110(33):13440-5. doi: 10.1073/pnas.1311857110. Epub 2013 Jul 29. Proc Natl Acad Sci U S A. 2013. PMID: 23898189 Free PMC article.
  • The emergence of longevous populations.
    Colchero F, Rau R, Jones OR, Barthold JA, Conde DA, Lenart A, Nemeth L, Scheuerlein A, Schoeley J, Torres C, Zarulli V, Altmann J, Brockman DK, Bronikowski AM, Fedigan LM, Pusey AE, Stoinski TS, Strier KB, Baudisch A, Alberts SC, Vaupel JW. Colchero F, et al. Proc Natl Acad Sci U S A. 2016 Nov 29;113(48):E7681-E7690. doi: 10.1073/pnas.1612191113. Epub 2016 Nov 21. Proc Natl Acad Sci U S A. 2016. PMID: 27872299 Free PMC article.
  • Shifting sociality during primate ageing.
    Machanda ZP, Rosati AG. Machanda ZP, et al. Philos Trans R Soc Lond B Biol Sci. 2020 Nov 9;375(1811):20190620. doi: 10.1098/rstb.2019.0620. Epub 2020 Sep 21. Philos Trans R Soc Lond B Biol Sci. 2020. PMID: 32951557 Free PMC article. Review.
  • Nutritional modulation of aging in nonhuman primates.
    Lane MA, Ingram DK, Roth GS. Lane MA, et al. J Nutr Health Aging. 1999;3(2):69-76. J Nutr Health Aging. 1999. PMID: 10885801 Review.

Cited by

References

    1. Oeppen J, Vaupel J. Broken limits to life expectancy. Science. 2002;296:1029–1031. doi: 10.1126/science.1069675. - DOI - PubMed
    1. Zuo W, Jiang S, Guo Z, Feldman MW, Tuljapurkar S. Advancing front of old-age human survival. Proc. Natl Acad. Sci. USA. 2018;115:11209–11214. doi: 10.1073/pnas.1812337115. - DOI - PMC - PubMed
    1. Aburto JM, Villavicencio F, Basellini U, Kjærgaard S, Vaupel JW. Dynamics of life expectancy and life span equality. Proc. Natl Acad. Sci. USA. 2020;117:5250–5259. doi: 10.1073/pnas.1915884117. - DOI - PMC - PubMed
    1. Vaupel JW, Villavicencio F, Bergeron-Boucher M-P. Demographic perspectives on the rise of longevity. Proc. Natl Acad. Sci. USA. 2021;118:e2019536118. doi: 10.1073/pnas.2019536118. - DOI - PMC - PubMed
    1. Jones OR, et al. Senescence rates are determined by ranking on the fast-slow life-history continuum. Ecol. Lett. 2008;11:664–673. doi: 10.1111/j.1461-0248.2008.01187.x. - DOI - PubMed

Publication types

LinkOut - more resources