DE MIGUEL VEGA, Marina; RODRÍGUEZ-QUILÓN, Isabel; HEUERTZ, Myriam; HUREL, Agathe; GRIVET, Delphine; JARAMILLO-CORREA, Juan Pablo; VENDRAMIN, Giovanni G.; PLOMION, Christophe; MAJADA, Juan; ALÍA, Ricardo; ECKERT, Andrew J.; GONZÁLEZ-MARTÍNEZ, Santiago C.

doi:10.1111/mec.16367

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DE MIGUEL VEGA, Marina

Biodiversité, Gènes & Communautés [BioGeCo]
Ecophysiologie et Génomique Fonctionnelle de la Vigne [UMR EGFV]

RODRÍGUEZ-QUILÓN, Isabel

HEUERTZ, Myriam
Biodiversité, Gènes & Communautés [BioGeCo]

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Article de revue

Ce document a été publié dans

Molecular Ecology. 2022-01-25, vol. 31, n° 7, p. 2089-2105

Résumé en anglais

A decade of genetic association studies in multiple organisms suggests that most complex traits are polygenic; that is, they have a genetic architecture determined by numerous loci, each with small effect-size. Thus, determining the degree of polygenicity and its variation across traits, environments and time is crucial to understand the genetic basis of phenotypic variation. We applied multilocus approaches to estimate the degree of polygenicity of fitness-related traits in a long-lived plant (Pinus pinaster Ait., maritime pine) and to analyse this variation across environments and years. We evaluated five categories of fitness-related traits (survival, height, phenology, functional, and biotic-stress response) in a clonal common-garden network planted in contrasted environments (over 20,500 trees). Most of the analysed traits showed evidence of local adaptation based on Qst–Fst comparisons. We further observed a remarkably stable degree of polygenicity, averaging 6% (range of 0%–27%), across traits, environments and years. We detected evidence of negative selection, which could explain, at least partially, the high degree of polygenicity. Because polygenic adaptation can occur rapidly, our results suggest that current predictions on the capacity of natural forest tree populations to adapt to new environments should be revised, especially in the current context of climate change.< Réduire

Mots clés en anglais

Heritability

Local adaptation

Maritime pine

Negative selection

Polygenicity

URI

https://oskar-bordeaux.fr/handle/20.500.12278/171824

DOI

http://dx.doi.org/10.1111/mec.16367

Projet Européen

Adaptive BREEDING for productive, sustainable and resilient FORESTs under climate change

Unités de recherche

Ecophysiologie et Génomique Fonctionnelle de la Vigne (EGFV) - UMR 1287