Genome-environment association study suggests local adaptation to climate at the regional scale in[i] Fagus sylvatica[/i]

Autor: Andrea R. Pluess, Caroline Heiri, Aline Frank, Hadrien Lalagüe, Giovanni G. Vendramin, Sylvie Oddou-Muratorio
Přispěvatelé: Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Institute of Biosciences and Bioresources, Consiglio Nazionale delle Ricerche [Roma] (CNR), Unité de Recherches Forestières Méditerranéennes (URFM), Institut National de la Recherche Agronomique (INRA), 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), Swiss Federal Institute for Forest, Snow and Avalanche Research WSL, Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology in Zürich [Zürich] (ETH Zürich), Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)
Jazyk: angličtina
Rok vydání: 2016
Předmět:
0106 biological sciences
0301 basic medicine
Candidate gene
Physiology
Climate
Genomics
Plant Science
adaptation
Biology
Genes
Plant
010603 evolutionary biology
01 natural sciences
Polymorphism
Single Nucleotide
Gene flow
03 medical and health sciences
landscape genomics
Gene Frequency
Fagus
Selection
Genetic
local persistence
isolation by distance/environment (IBD/IBE)
Isolation by distance
Local adaptation
Geography
Ecology
Microevolution
fagus sylvatica (European beech)
Adaptation
Physiological
Genome-environment association (GEA)
microevolution
030104 developmental biology
climate change
13. Climate action
Evolutionary biology
Genetic structure
genome–environment association (GEA)
Gene-Environment Interaction
Adaptation
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
Genome
Plant
Switzerland
Zdroj: New Phytologist
New Phytologist, Wiley, 2016, 210 (2), pp.589-601. ⟨10.1111/nph.13809⟩
New phytologist (Online) 210 (2016): 589–601. doi:10.1111/nph.13809
info:cnr-pdr/source/autori:Pluess A.R.; Frank A.; Heiri C.; Lalague H.; Vendramin G.G.; Oddou-Muratorio S./titolo:Genome-environment association study suggests local adaptation to climate at the regional scale in Fagus sylvatica/doi:10.1111%2Fnph.13809/rivista:New phytologist (Online)/anno:2016/pagina_da:589/pagina_a:601/intervallo_pagine:589–601/volume:210
ISSN: 0028-646X
1469-8137
DOI: 10.1111/nph.13809⟩
Popis: 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
Databáze: OpenAIRE
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