Published April 5, 2022 | Version v1
Dataset Open

The quantitative genetics of fitness in a wild seabird

  • 1. Institute of Avian Research
  • 2. Centre d'Ecologie Fonctionnelle et Evolutive

Description

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.

Notes

Data used for models presented in:

The quantitative genetics of fitness in a wild seabird

by Moiron M., Charmantier A. and Bouwhuis S.

published in Evolution

For information regarding the analyses, please contact mariamoironc@gmail.com

For information regarding the data, please contact sandra.bouwhuis@ifv-vogelwarte.de

If you'd like to use the data, please also contact sandra.bouwhuis@ifv-vogelwarte.de

These data are part of those collected in an ongoing individual-based longitudinal population study

Additional data are likely to be available, and we are often very happy to collaborate provided that none of our own staff or students is working on a conflicting project

Funding provided by: H2020 Marie Skłodowska-Curie Actions
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100010665
Award Number: 793550

Funding provided by: Alexander von Hum*
Crossref Funder Registry ID:
Award Number:

Files

DATA_USAGE_Moiron_et_al_2022.txt

Files (267.8 kB)

Name Size Download all
md5:b55681b8dff452a03b1c46a7e0caca33
695 Bytes Preview Download
md5:9df079d4c12ec1d522e87a0396fa0f68
158.2 kB Preview Download
md5:2c9ae7f0f079315e524b04fd401e64c7
107.2 kB Preview Download
md5:f3950159539846a5f45cee087b0c29c6
1.6 kB Preview Download

Additional details

Related works