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<datestamp>2018-01-11</datestamp>
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<title lang=en>Genome-environment association study suggests local adaptation to climate at the regional scale in[i] Fagus sylvatica[/i]</title>
<creator>Pluess, Andrea R.</creator>
<creator>Frank, Aline</creator>
<creator>Heiri, Caroline</creator>
<creator>LALAGÜE, Hadrien</creator>
<creator>Vendramin, Giovanni Giuseppe</creator>
<creator>Muratorio, Sylvie</creator>
<contributor>Swiss Federal Institute for Forest, Snow and Landscape Research WSL</contributor>
<contributor>Swiss Federal Institute of Technology in Zürich (ETH Zürich)</contributor>
<contributor>Ecologie des forêts de Guyane (ECOFOG) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD) - Institut National de la Recherche Agronomique (INRA) - Université des Antilles et de la Guyane (UAG) - AgroParisTech - Université de Guyane (UG) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Institute of Biosciences and Bioresources ; Consiglio Nazionale delle Ricerche [Roma] (CNR)</contributor>
<contributor>Unité de Recherches Forestières Méditerranéennes (URFM) ; Institut National de la Recherche Agronomique (INRA)</contributor>
<contributor> Financial support was provided by 'Fonds zur Forderung forstlicher Forschung, ETH' and the research programme 'Forest and climate change' funded by the Federal Office for the Environment FOEN and WSL. G.G.V. was supported by a grant from the European Commission through the FP7-project FORGER (KBBE-289119)</contributor>
<source>ISSN: 0028-646X</source>
<source>EISSN: 1469-8137</source>
<source>New Phytologist</source>
<publisher>Wiley</publisher>
<identifier>hal-01309135</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01309135</identifier>
<source>https://hal.archives-ouvertes.fr/hal-01309135</source>
<source>New Phytologist, Wiley, 2016, 210 (2), pp.589-601. 〈10.1111/nph.13809〉</source>
<identifier>PRODINRA : 343710</identifier>
<identifier>DOI : 10.1111/nph.13809</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.1111/nph.13809</relation>
<language>en</language>
<subject lang=en>adaptation</subject>
<subject lang=en>climate change</subject>
<subject lang=en>fagus sylvatica (European beech)</subject>
<subject lang=en>genome–environment association (GEA)</subject>
<subject lang=en>isolation by distance/environment (IBD/IBE)</subject>
<subject lang=en>landscape genomics</subject>
<subject lang=en>local persistence</subject>
<subject lang=en>microevolution</subject>
<subject>[SDE.BE] Environmental Sciences/Biodiversity and Ecology</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>The evolutionary potential of long-lived species, such as forest trees, is fundamental for their local persistence under climate change (CC). Genome–environment association (GEA) analyses reveal if species in heterogeneous environments at the regional scale are under differential selection resulting in populations with potential preadaptation to CC within this area. In 79 natural [i]Fagus sylvatica[/i] populations, neutral genetic patterns were characterized using 12 simple sequence repeat (SSR) markers, and genomic variation (144 single nucleotide polymorphisms (SNPs) out of 52 candidate genes) was related to 87 environmental predictors in the latent factor mixed model, logistic regressions and isolation by distance/environmental (IBD/IBE) tests. SSR diversity revealed relatedness at up to 150m intertree distance but an absence of large-scale spatial genetic structure and IBE. In the GEA analyses, 16 SNPs in 10 genes responded to one or several environmental predictors and IBE, corrected for IBD, was confirmed. The GEA often reflected the proposed gene functions, including indications for adaptation to water availability and temperature. Genomic divergence and the lack of large-scale neutral genetic patterns suggest that gene flow allows the spread of advantageous alleles in adaptive genes. Thereby, adaptation processes are likely to take place in species occurring in heterogeneous environments, which might reduce their regional extinction risk under CC</description>
<date>2016</date>
</dc>
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