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. 2019 Apr 26;15(4):20180860.
doi: 10.1098/rsbl.2018.0860.

Recurrent evolution of extreme longevity in bats

Affiliations

Recurrent evolution of extreme longevity in bats

Gerald S Wilkinson et al. Biol Lett. .

Abstract

Bats live longer than similar-sized mammals, but the number of lineages that have independently evolved extreme longevity has not previously been determined. Here we reconstruct the evolution of size-corrected longevity on a recent molecular phylogeny and find that at least four lineages of bats have lifespans more than fourfold those of similar-sized placental mammals, with the ancestral bat projected to live 2.6 times as long. We then evaluate a series of phylogenetic generalized least-squares models containing up to nine variables hypothesized to influence extrinsic mortality. These analyses reveal that body mass and hibernation predict longevity. Among hibernators, longevity is predicted by the absolute value of the median latitude of the species range and cave use, while cave use and lack of sexual dimorphism predict longevity among non-hibernators. The importance of torpor in extending lifespan is further supported by the one lineage with extreme longevity that does not hibernate but exhibits flexible thermoregulation, the common vampire bat. We propose several potential mechanisms that may enable bats to live so long, and suggest that the ability to tolerate a wide range of body temperatures could be important for surviving viral or other pathogen infections.

Keywords: hibernation duration; lifespan; phylogenetic generalized least squares; sexual dimorphism.

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Conflict of interest statement

We declare we have no competing interests.

Figures

Figure 1.
Figure 1.
Ancestral state reconstruction by squared-change parsimony of longevity quotient (LQ) for bats, with * indicating hibernating species. (Online version in colour.)
Figure 2.
Figure 2.
Relationships between residual longevity and predictive variables for hibernating (red) and nonhibernating (blue) species: (a) absolute value of median latitude, (b) cave use, and (c) sexual dimorphism in size (log2(male-TL/female-TL)). Residual longevities in (a) and (c) are from PGLS regressions of log10(longevity) on log10(body mass) + cave use, and in (b) from a PGLS regression of log10(longevity) on log10(body mass). Error bars indicate 1 s.e.m. (Online version in colour.)

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