A1 Refereed original research article in a scientific journal

The long-lasting legacy of reproduction: lifetime reproductive success shapes expected genetic contributions of humans after 10 generations




AuthorsYoung Euan A, Chesterton Ellie, Lummaa Virpi, Postma Erik, Dugdale Hannah L

PublisherROYAL SOC

Publication year2023

JournalProceedings of the Royal Society B: Biological Sciences

Journal name in sourcePROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Journal acronymP ROY SOC B-BIOL SCI

Article number 20230287

Volume290

Issue1998

Number of pages10

ISSN0962-8452

DOIhttps://doi.org/10.1098/rspb.2023.0287

Web address https://doi.org/10.1098/rspb.2023.0287

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/179737318


Abstract
An individual's lifetime reproductive success (LRS) measures its realized genetic contributions to the next generation, but how well does it predict this over longer periods? Here we use human genealogical data to estimate expected individual genetic contributions (IGC) and quantify the degree to which LRS, relative to other fitness proxies, predicts IGC over longer periods. This allows an identification of the life-history stages that are most important in shaping variation in IGC. We use historical genealogical data from two non-isolated local populations in Switzerland to estimate the stabilized IGC for 2230 individuals approximately 10 generations after they were born. We find that LRS explains 30% less variation in IGC than the best predictor of IGC, the number of grandoffspring. However, albeit less precise than the number of grandoffspring, we show that LRS does provide an unbiased prediction of IGC. Furthermore, it predicts IGC better than lifespan, and accounting for offspring survival to adulthood does not improve the explanatory power. Overall, our findings demonstrate the value of human genealogical data to evolutionary biology and suggest that reproduction-more than lifespan or offspring survival-impacts the long-term genetic contributions of historic humans, even in a population with appreciable migration.

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