| 1. |
- Semerikov, Nikolay V., et al.
(author)
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Cytoplasmic DNA variation does not support a recent contribution of Pinus sylvestris L. from the Caucasus to the main range
- 2020
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In: Tree Genetics & Genomes. - : SPRINGER HEIDELBERG. - 1614-2942 .- 1614-2950. ; 16:4
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Journal article (peer-reviewed)abstract
- The history of the interaction between the boreal floras of northern Eurasia and those from the mountain areas located at intermediate latitudes remains insufficiently studied. Twenty-four population samples of 4 to 34 trees were analyzed with eight mitochondrial DNA (mtDNA) markers and four chloroplast DNA (cpDNA) microsatellite loci to study the history of Scots pine in the Black Sea region, and infer migration routes and genetic relationships with populations of the northern part of the range. These new data were combined with data previously obtained from Eastern Europe and North Asia. Scots pine past geographic range was also reconstructed using environmental niche modeling. Both mtDNA and cpDNA revealed a common origin of populations in the eastern Black Sea region (EBS), i.e., Crimea, Caucasus, and Asia Minor, and deep divergence from the main range of Scots pine, reminiscent of the isolation of enclaves in Iberian and Apennine Peninsulas. Mitochondrial DNA haplotypes (mitotypes) endemic to Western Caucasus are genetically intermediate between mitotypes from Eastern Europe and other mitotypes from the EBS region, indicating a recombinant origin likely due to migration to the Caucasus from the north and hybridization with local trees. Environmental niche modeling shows the possibility of such migration events during the last glacial maximum.
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| 2. |
- Benavides, Raquel, et al.
(author)
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The GenTree Leaf Collection : Inter- and intraspecific leaf variation in seven forest tree species in Europe
- 2021
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In: Global Ecology and Biogeography. - : John Wiley & Sons. - 1466-822X .- 1466-8238. ; 30:3, s. 590-597
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Journal article (peer-reviewed)abstract
- Motivation Trait variation within species can reveal plastic and/or genetic responses to environmental gradients, and may indicate where local adaptation has occurred. Here, we present a dataset of rangewide variation in leaf traits from seven of the most ecologically and economically important tree species in Europe. Sample collection and trait assessment are embedded in the GenTree project (EU-Horizon 2020), which aims at characterizing the genetic and phenotypic variability of forest tree species to optimize the management and sustainable use of forest genetic resources. Our dataset captures substantial intra- and interspecific leaf phenotypic variability, and provides valuable information for studying the relationship between ecosystem functioning and trait variability of individuals, and the response and resilience of species to environmental changes. Main types of variable contained We chose morphological and chemical characters linked to trade-offs between acquisition and conservation of resources and water use, namely specific leaf area, leaf size, carbon and nitrogen content and their ratio, and the isotopic signature of stable isotope C-13 and N-15 in leaves. Spatial location and grain We surveyed between 18 and 22 populations per species, 141 in total, across Europe. Time period Leaf sampling took place between 2016 and 2017. Major taxa and level of measurement We sampled at least 25 individuals in each population, 3,569 trees in total, and measured traits in 35,755 leaves from seven European tree species, i.e. the conifers Picea abies, Pinus pinaster and Pinus sylvestris, and the broadleaves Betula pendula, Fagus sylvatica, Populus nigra and Quercus petraea. Software format The data files are in ASCII text, tab delimited, not compressed.
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| 3. |
- Bruxaux, Jade, et al.
(author)
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Scots pine – panmixia and the elusive signal of genetic adaptation
- 2024
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In: New Phytologist. - : John Wiley & Sons. - 0028-646X .- 1469-8137. ; 243:3, s. 1231-1246
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Journal article (peer-reviewed)abstract
- Scots pine is the foundation species of diverse forested ecosystems across Eurasia and displays remarkable ecological breadth, occurring in environments ranging from temperate rainforests to arid tundra margins. Such expansive distributions can be favored by various demographic and adaptive processes and the interactions between them.To understand the impact of neutral and selective forces on genetic structure in Scots pine, we conducted range-wide population genetic analyses on 2321 trees from 202 populations using genotyping-by-sequencing, reconstructed the recent demography of the species and examined signals of genetic adaptation.We found a high and uniform genetic diversity across the entire range (global FST 0.048), no increased genetic load in expanding populations and minor impact of the last glacial maximum on historical population sizes. Genetic-environmental associations identified only a handful of single-nucleotide polymorphisms significantly linked to environmental gradients.The results suggest that extensive gene flow is predominantly responsible for the observed genetic patterns in Scots pine. The apparent missing signal of genetic adaptation is likely attributed to the intricate genetic architecture controlling adaptation to multi-dimensional environments. The panmixia metapopulation of Scots pine offers a good study system for further exploration into how genetic adaptation and plasticity evolve under gene flow and changing environment.
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| 4. |
- Martinez-Sancho, Elisabet, et al.
(author)
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The GenTree Dendroecological Collection, tree-ring and wood density data from seven tree species across Europe
- 2020
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In: Scientific Data. - : NATURE PUBLISHING GROUP. - 2052-4463. ; 7
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Journal article (peer-reviewed)abstract
- The dataset presented here was collected by the GenTree project (EU-Horizon 2020), which aims to improve the use of forest genetic resources across Europe by better understanding how trees adapt to their local environment. This dataset of individual tree-core characteristics including ring-width series and whole-core wood density was collected for seven ecologically and economically important European tree species: silver birch (Betula pendula), European beech (Fagus sylvatica), Norway spruce (Picea abies), European black poplar (Populus nigra), maritime pine (Pinus pinaster), Scots pine (Pinus sylvestris), and sessile oak (Quercus petraea). Tree-ring width measurements were obtained from 3600 trees in 142 populations and whole-core wood density was measured for 3098 trees in 125 populations. This dataset covers most of the geographical and climatic range occupied by the selected species. The potential use of it will be highly valuable for assessing ecological and evolutionary responses to environmental conditions as well as for model development and parameterization, to predict adaptability under climate change scenarios.
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| 5. |
- Opgenoorth, Lars, et al.
(author)
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The GenTree Platform : growth traits and tree-level environmental data in 12 European forest tree species
- 2021
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In: GigaScience. - : Oxford University Press. - 2047-217X. ; 10:3
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Journal article (peer-reviewed)abstract
- Background: Progress in the field of evolutionary forest ecology has been hampered by the huge challenge of phenotyping trees across their ranges in their natural environments, and the limitation in high-resolution environmental information.Findings: The GenTree Platform contains phenotypic and environmental data from 4,959 trees from 12 ecologically and economically important European forest tree species: Abies alba Mill. (silver fir), Betula pendula Roth. (silver birch), Fagus sylvatica L. (European beech), Picea abies (L.) H. Karst (Norway spruce), Pinus cembra L. (Swiss stone pine), Pinus halepensis Mill. (Aleppo pine), Pinus nigra Arnold (European black pine), Pinus pinaster Aiton (maritime pine), Pinus sylvestris L. (Scots pine), Populus nigra L. (European black poplar), Taxus baccata L. (English yew), and Quercus petraea (Matt.) Liebl. (sessile oak). Phenotypic (height, diameter at breast height, crown size, bark thickness, biomass, straightness, forking, branch angle, fructification), regeneration, environmental in situ measurements (soil depth, vegetation cover, competition indices), and environmental modeling data extracted by using bilinear interpolation accounting for surrounding conditions of each tree (precipitation, temperature, insolation, drought indices) were obtained from trees in 194 sites covering the species' geographic ranges and reflecting local environmental gradients.Conclusion: The GenTree Platform is a new resource for investigating ecological and evolutionary processes in forest trees. The coherent phenotyping and environmental characterization across 12 species in their European ranges allow for a wide range of analyses from forest ecologists, conservationists, and macro-ecologists. Also, the data here presented can be linked to the GenTree Dendroecological collection, the GenTree Leaf Trait collection, and the GenTree Genomic collection presented elsewhere, which together build the largest evolutionary forest ecology data collection available.
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