Multi-generation genetic contributions of immigrants reveal cryptic elevated and sex-biased effective gene flow within a natural meta-population

Jane Reid* (Corresponding Author), Lisa Dickel, Lukas F. Keller, Pirmin Nietlisbach, Peter Arcese

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Impacts of immigration on micro-evolution and population dynamics fundamentally depend on net rates and forms of resulting gene flow into recipient populations. Yet, the degrees to which observed rates and sex ratios of physical immigration translate into multi-generational genetic legacies have not been explicitly quantified in natural meta-populations, precluding inference on how movements translate into effective gene flow and eco-evolutionary outcomes. Our analyses of three decades of complete song sparrow (Melospiza melodia) pedigree data show that multi-generational genetic contributions from regular natural immigrants substantially exceeded those from contemporary natives, consistent with heterosis-enhanced introgression. However, while contributions from female immigrants exceeded those from female natives by up to three-fold, male immigrants’ lineages typically went locally extinct soon after arriving. Both the overall magnitude, and the degree of female bias, of effective gene flow therefore greatly exceeded those which would be inferred from observed physical arrivals, altering multiple eco-evolutionary implications of immigration.
Original languageEnglish
JournalEcology Letters
Publication statusAccepted/In press - 11 Jan 2024

Bibliographical note

We thank the Tsawout and Tseycum First Nations Bands for allowing access to X̱OX̱ DEȽ (Mandarte); everyone who contributed to long-term data collection; NSERC (Canada), the Swiss National Science Foundation, the Research Council of Norway (SFF-III, project 223257) and NTNU for funding; and Bob O’Hara for helpful discussions on analyses.

Data Availability Statement

Data and R scripts are available at the Dryad repository: https://doi.org/doi:10.5061/dryad.k6djh9wcv

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