Season-specific genetic variation underlies early-life migration in a partially migratory bird

Rita Fortuna* (Corresponding Author), Paul Acker, Cassandra Ugland,, Sarah J. Burthe, Michael Harris, Mark A. Newell, Carrie Gunn, Thomas Haaland, Robert L. Swann, Sarah Wanless, Francis Daunt, Jane Reid* (Corresponding Author)

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Eco-evolutionary responses to environmentally-induced selection fundamentally depend on magnitudes of genetic variation underlying traitsthat facilitate population persistence. Additive genetic variances and associated heritabilities can vary across environmental conditions, especially for labile phenotypic traits expressed through early life. However, short-term seasonal dynamics of genetic variances are rarely quantified in wild populations, precluding inference on eco-evolutionary outcomes in seasonally dynamic systems. This limitation applies to seasonal migration versus residence, constituting one key trait where rapid micro-evolution could rescue partially migratory populations from changing seasonal environments. We fitted novel quantitative genetic ‘capture-recapture animal models’ to multi-generational pedigree and year-round resighting data from 11 cohorts of European shags (Gulosus aristotelis), to estimate season-specific additive genetic variances in liabilities to migrate, and in resulting expression of migration, in juveniles’ first autumn and winter. We demonstrate non-negligible genetic variation underlying early-life migration, with twice as large additive genetic variances and heritabilities in autumn than winter. Since early-life survival selection on migration typically occurs in winter, highest genetic variation and strongest selection are seasonally desynchronised. Our results reveal complex within-year and among-year dynamics of early life genetic and phenotypic variation, demonstrating that adequate inference of eco evolutionary outcomes requires quantifying micro-evolutionary potential on appropriate scales and seasonal timeframes.
Original languageEnglish
Article number20241660
Number of pages12
JournalProceedings of the Royal Society B: Biological Sciences
Volume291
Issue number2033
Early online date16 Oct 2024
DOIs
Publication statusPublished - Oct 2024

Bibliographical note

Open Access via the Royal Society Agreement
Acknowledgments
We thank everyone who contributed to long-term field data collection, particularly Raymond Duncan, Sarah Fenn, Hannah Grist, Carl Mitchell, Calum Scott, Jenny Sturgeon, Moray Souter,
John Anderson, and Harry Bell; NatureScot for allowing work on the Isle of May National Nature Reserve, and Isle of May Bird Observatory Trust for supporting the long-term ringing. We thank Suzanne Bonamour, Craig Walling and two anonymous reviewers for helpful feedback.

Data Availability Statement

Data and code to fully reproduce the analyses and results figures are publicly available in Dryad (doi:10.5061/dryad.j6q573nnr) [79] and Zenodo (doi:10.5281/zenodo.10994221) [80].

Funding

The study was funded by UK Natural Environment Research Council (awards NE/M005186/1, NE/R000859/1, and NE/R016429/1 through the UK-SCaPE program delivering National Capability), Norwegian Research Council (grants 223257 and 313570), NTNU and University of Aberdeen.

FundersFunder number
Natural Environment Research CouncilNE/M005186/1, NE/R000859/1, NE/R016429/1
Norges Forskningsråd223257, 313570
Norwegian University of Science and Technology
University of Aberdeen

    Keywords

    • Additive genetic variance
    • capture-recapture animal model
    • juvenile
    • heritability
    • microevolution
    • partial seasonal migration

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