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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, complete scientific database of research data

Abstract: 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)
Keywords: climate change , genomic offset , genotype- environment association , local adaptation , Taxus baccata
Published in DiRROS: 03.11.2025; Views: 315; Downloads: 87
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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, original scientific article

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.
Keywords: climate change , genomic offset , genotype- environment association , local adaptation , Taxus baccata
Published in DiRROS: 10.10.2025; Views: 414; Downloads: 181
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3.
Marginality indices for biodiversity conservation in forest trees
Nicolas Picard, Maurizio Marchi, Maria Jesus Serra-Varela, Marjana Westergren, Stephen Cavers, Eduardo Notivol, Andrea Piotti, Paraskevi Alizoti, Michele Bozzano, Santiago C. González-Martínez, 2022, original scientific article

Abstract: Marginal and peripheral populations are important for biodiversity conservation. Their original situation in a species’ geographic and ecological space often confers them genetic diversity and traits of high adaptive value. Yet theoretical hypotheses related to marginality are difficult to test because of confounding factors that influence marginality, namely environment, geography, and history. There is an urgent need to develop metrics to disentangle these confounding factors. We designed nine quantitative indices of marginality and peripherality that define where margins lie within species distributions, from a geographical, an environmental and a historical perspective. Using the distribution maps of eight European forest tree species, we assessed whether these indices were idiosyncratic or whether they conveyed redundant information. Using a database on marginal and peripheral populations based on expert knowledge, we assessed the capacity of the indices to predict the marginality status of a population. There was no consistent pattern of correlation between indices across species, confirming that the indices conveyed different information related to the specific geometry of the species distributions. Contrasting with this heterogeneity of correlation patterns across species, the relative importance of the indices to predict the marginality status of populations was consistent across species. However, there was still a significant country effect in the marginality status, showing a variation in expert opinion of marginality vis-á-vis the species distribution. The marginality indices that we developed are entirely based on distribution maps and can be used for any species. They pave the way for testing hypotheses related to marginality and peripherality, with important implications in quantitative ecology, genetics, and biodiversity conservation.
Keywords: centre-periphery hypothesis, environmental indices, geographical indices, migration indices, marginal populations, peripheral populations, in situ genetic conservation
Published in DiRROS: 07.04.2025; Views: 626; Downloads: 372
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4.
Resilience of genetic diversity in forest trees over the Quaternary
Pascal Milesi, Chedly Kastallya, Benjamin Dauphin, Sandra Cervantes, Francesca Bagnoli, Katharina Budde, Stephen Cavers, Bruno Fady, Patricia Faivre-Rampant, Santiago C. González-Martínez, Marjana Westergren, 2024, original scientific article

Abstract: The effect of past environmental changes on the demography and genetic diversity of natural populations remains a contentious issue and has rarely been investigated across multiple, phylogenetically distant species. Here, we perform comparative population genomic analyses and demographic inferences for seven widely distributed and ecologically contrasting European forest tree species based on concerted sampling of 164 populations across their natural ranges. For all seven species, the effective population size, Ne, increased or remained stable over many glacial cycles and up to 15 million years in the most extreme cases. Surprisingly, the drastic environmental changes associated with the Pleistocene glacial cycles have had little impact on the level of genetic diversity of dominant forest tree species, despite major shifts in their geographic ranges. Based on their trajectories of Ne over time, the seven tree species can be divided into three major groups, highlighting the importance of life history and range size in determining synchronous variation in genetic diversity over time. Altogether, our results indicate that forest trees have been able to retain their evolutionary potential over very long periods of time despite strong environmental changes.
Keywords: genetic diversity, forest trees, environmental changes
Published in DiRROS: 29.10.2024; Views: 854; Downloads: 848
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5.
Gene sequence variation data for the publication "Synchronous effective population size changes and genetic stability of forest trees through glacial cycles" : version 1.0
Tanja Pyhäjärvi, Francesca Bagnoli, Katharina Budde, Stephen Cavers, Sandra Cervantes, Benjamin Dauphin, Bruno Fady, Patricia Faivre-Rampant, Santiago C. González-Martínez, Delphine Grivet, Felix Gugerli, Véronique Jorge, Chedly Kastallya, Martin Lascoux, Isabelle Lesur Kupin, Pascal Milesi, Dario I. Ojeda, Sanna Olsson, Lars Opgenoorth, Sara Pinosio, Christophe Plomion, Christian Rellstab, Odile Rogier, Simone Scalabrin, Ivan Scotti, Giovanni G. Vendramin, Marjana Westergren, 2023, complete scientific database of research data

Abstract: This dataset contains the gene sequence variation data (vcf files and their tbi index files) of seven forest tree species used in the manuscript "Synchronous effective population size changes and genetic stability of forest trees through glacial cycles". For each species, between 411 and 651 genotyped trees are included, sampled across Europe in at least 20 locations. Several versions are provided. Species included: Pinus sylvestris, Picea abies, Fagus sylvatica, Populus nigra, Quercus petraea, Pinus pinaster, Betula pendula
Keywords: gene sequence, variation data, data set
Published in DiRROS: 07.03.2023; Views: 1754; Downloads: 1988
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