| Title: | Genomic signatures of climate-driven (mal)adaptation in an iconic conifer, the English Yew (Taxus baccata L.) |
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| Authors: | ID Francisco, Thomas (Author)
ID Mayol, Maria (Author)
ID Vajana, Elia (Author)
ID Riba, Miquel (Author)
ID Westergren, Marjana (Author)
ID Cavers, Stephen (Author)
ID Pinosio, Sara (Author)
ID Bagnoli, Francesca (Author)
ID Marchi, Maurizio (Author)
ID Aravanopoulos, Filipos (Author) |
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| Files: |  URL - Source URL, visit https://onlinelibrary.wiley.com/doi/10.1111/eva.70160
 PDF - Presentation file, download (2,88 MB)
MD5: 647653E41E2EC0650F1E417DC23222F9
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| Language: | English |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: |  SciVie - Slovenian Forestry Institute
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| Abstract: | The risk of climate maladaptation is increasing for numerous species, including trees. Developing robust methods to assess population maladaptation remains a critical challenge. Genomic offset approaches aim to predict climate maladaptation by characterizing the genomic changes required for populations to maintain their fitness under changing climates. In this study, we assessed the risk of climate maladaptation in European populations of English yew (Taxus baccata), a long-lived tree with a patchy distribution across Europe, the Atlas Mountains, and the Near East, where many populations are small or threatened. We found evidence suggesting local climate adaptation by analyzing 8616 SNPs in 475 trees from 29 European T. baccata populations, with climate explaining 18.1% of genetic variance and 100 unlinked climate-associated loci identified via genotype-environment association (GEA). Then, we evaluated the deviation of populations from the overall gene-climate association to assess variability in local adaptation or different adaptation trajectories across populations and found the highest deviations in low latitude populations. Moreover, we predicted genomic offsets and successfully validated these predictions using phenotypic traits assessed in plants from 26 populations grown in a comparative experiment. Finally, we integrated information from current local adaptation, genomic offset, historical genetic differentiation, and effective migration rates to show that Mediterranean and high-elevation T. baccata populations face higher vulnerability to climate change than low-elevation Atlantic and continental populations. Our study demonstrates the practical use of the genomic offset framework in conservation genetics, offers insights for its further development, and highlights the need for a population-centered approach that incorporates additional statistics and data sources to credibly assess climate vulnerability in wild plant populations. |
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| Keywords: | climate change , genomic offset , genotype- environment association , local adaptation , Taxus baccata |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Article acceptance date: | 04.10.2025 |
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| Publication date: | 01.01.2025 |
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| Year of publishing: | 2025 |
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| Number of pages: | str. 1-18 |
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| Numbering: | Vol. 18, iss. 10 [article no. e70160] |
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| PID: | 20.500.12556/DiRROS-23850  |
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| UDC: | 630*16 |
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| ISSN on article: | 1752-4571 |
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| DOI: | 10.1111/eva.70160 |
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| COBISS.SI-ID: | 252737795 |
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| Note: | Nasl. z nasl. zaslona;
Opis vira z dne 10. 10. 2025;
Skupno št. avtorjev: 17;
Avtorica iz Slovenije: M. Westergren;
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| Publication date in DiRROS: | 10.10.2025 |
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| Views: | 284 |
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| Downloads: | 118 |
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