This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1111/evo.14516. This is version 3 of this Preprint.
![The quantitative genetics of fitness in a wild seabird](/media/repos/2/842cda25-7d2c-4fdc-99de-a5740716f653.jpg)
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Abstract
Additive genetic variance in fitness is a prerequisite for adaptive evolution, as a trait must be genetically correlated with fitness to evolve. Despite its relevance, additive genetic variance in fitness has not often been estimated in nature. Here, we investigate additive genetic variance in lifetime and annual fitness components in common terns (Sterna hirundo). Using 28 years of data comprising ca. 6000 pedigreed individuals, we find that additive genetic variances in the Zero-inflated and Poisson components of lifetime fitness were effectively zero, but estimated with high uncertainty. Similarly, additive genetic variances in adult annual reproductive success and survival did not differ from zero, but were again associated with high uncertainty. Simulations suggested that we would be able to detect additive genetic variances as low as 0.05 for the Zero-inflated component of fitness, but not for the Poisson component, for which adequate statistical power would require c. two more decades (four tern generations) of data collection. As such, our study suggests heritable variance in common tern fitness to be rather low if not zero, shows how studying the quantitative genetics of fitness in natural populations remains challenging, and highlights the importance of maintaining long-term individual-based studies of natural populations.
DOI
https://doi.org/10.32942/osf.io/fmg75
Subjects
Ecology and Evolutionary Biology, Evolution, Life Sciences
Keywords
adaptive potential, animal model, common tern, evolvability, heritability, latent scale, lifetime reproductive success, log-normal fitness
Dates
Published: 2021-06-19 12:46
Last Updated: 2022-03-02 04:13
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License
CC-BY Attribution-No Derivatives 4.0 International
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Data and Code Availability Statement:
Data will be archived in the Dryad Digital Repository upon acceptance
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