Rita Fortuna, Paul Acker, Cassandra R Ugland, Sarah J Burthe, Michael P Harris, Mark A Newell, Carrie Gunn, Timothy I Morley, Thomas R Haaland, Robert L Swann, Sarah Wanless, Francis Daunt, Jane M Reid
{"title":"季节性遗传变异是部分候鸟早年迁徙的基础。","authors":"Rita Fortuna, Paul Acker, Cassandra R Ugland, Sarah J Burthe, Michael P Harris, Mark A Newell, Carrie Gunn, Timothy I Morley, Thomas R Haaland, Robert L Swann, Sarah Wanless, Francis Daunt, Jane M Reid","doi":"10.1098/rspb.2024.1660","DOIUrl":null,"url":null,"abstract":"<p><p>Eco-evolutionary responses to environmentally induced selection fundamentally depend on magnitudes of genetic variation underlying traits that 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 microevolution 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 (<i>Gulosus aristotelis</i>), 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 desynchronized. Our results reveal complex within- and among-year dynamics of early-life genetic and phenotypic variation, demonstrating that adequate inference of eco-evolutionary outcomes requires quantifying microevolutionary potential on appropriate scales and seasonal timeframes.</p>","PeriodicalId":20589,"journal":{"name":"Proceedings of the Royal Society B: Biological Sciences","volume":"291 2033","pages":"20241660"},"PeriodicalIF":3.8000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11503479/pdf/","citationCount":"0","resultStr":"{\"title\":\"Season-specific genetic variation underlies early-life migration in a partially migratory bird.\",\"authors\":\"Rita Fortuna, Paul Acker, Cassandra R Ugland, Sarah J Burthe, Michael P Harris, Mark A Newell, Carrie Gunn, Timothy I Morley, Thomas R Haaland, Robert L Swann, Sarah Wanless, Francis Daunt, Jane M Reid\",\"doi\":\"10.1098/rspb.2024.1660\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Eco-evolutionary responses to environmentally induced selection fundamentally depend on magnitudes of genetic variation underlying traits that 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 microevolution 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 (<i>Gulosus aristotelis</i>), 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 desynchronized. Our results reveal complex within- and among-year dynamics of early-life genetic and phenotypic variation, demonstrating that adequate inference of eco-evolutionary outcomes requires quantifying microevolutionary potential on appropriate scales and seasonal timeframes.</p>\",\"PeriodicalId\":20589,\"journal\":{\"name\":\"Proceedings of the Royal Society B: Biological Sciences\",\"volume\":\"291 2033\",\"pages\":\"20241660\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11503479/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Royal Society B: Biological Sciences\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1098/rspb.2024.1660\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/10/16 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Royal Society B: Biological Sciences","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1098/rspb.2024.1660","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/16 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOLOGY","Score":null,"Total":0}
Season-specific genetic variation underlies early-life migration in a partially migratory bird.
Eco-evolutionary responses to environmentally induced selection fundamentally depend on magnitudes of genetic variation underlying traits that 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 microevolution 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 desynchronized. Our results reveal complex within- and among-year dynamics of early-life genetic and phenotypic variation, demonstrating that adequate inference of eco-evolutionary outcomes requires quantifying microevolutionary potential on appropriate scales and seasonal timeframes.
期刊介绍:
Proceedings B is the Royal Society’s flagship biological research journal, accepting original articles and reviews of outstanding scientific importance and broad general interest. The main criteria for acceptance are that a study is novel, and has general significance to biologists. Articles published cover a wide range of areas within the biological sciences, many have relevance to organisms and the environments in which they live. The scope includes, but is not limited to, ecology, evolution, behavior, health and disease epidemiology, neuroscience and cognition, behavioral genetics, development, biomechanics, paleontology, comparative biology, molecular ecology and evolution, and global change biology.