1. Genomic signatures of climate-driven (mal)adaptation in an iconic conifer, the English Yew (Taxus baccata L.)Thomas Francisco, Santiago C. González-Martínez, Maria Mayol, Elia Vajana, Miquel Riba, Marjana Westergren, Stephen Cavers, Sara Pinosio, Francesca Bagnoli, Maurizio Marchi, Filipos Aravanopoulos, 2025, zaključena znanstvena zbirka raziskovalnih podatkov Povzetek: This dataset consists of a Variant Call Format (VCF) file containing genomic data from Taxus baccata (European yew). The dataset includes 11,374 single nucleotide polymorphisms (SNPs) identified across 490 individual trees sampled from across the European range of the species. This dataset was used to carry out a study investigating patterns of local adaptation and to assessing the risk of climate maladaptation using genomic offset approaches. English (2025-05-28)
Ključne besede: climate change , genomic offset , genotype- environment association , local adaptation , Taxus baccata
Objavljeno v DiRROS: 03.11.2025; Ogledov: 115; Prenosov: 30
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2. Genomic signatures of climate-driven (mal)adaptation in an iconic conifer, the English Yew (Taxus baccata L.)Thomas Francisco, Maria Mayol, Elia Vajana, Miquel Riba, Marjana Westergren, Stephen Cavers, Sara Pinosio, Francesca Bagnoli, Maurizio Marchi, Filipos Aravanopoulos, 2025, izvirni znanstveni članek Povzetek: 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.
Ključne besede: climate change , genomic offset , genotype- environment association , local adaptation , Taxus baccata
Objavljeno v DiRROS: 10.10.2025; Ogledov: 232; Prenosov: 97
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